ET ToolboxEvapotranspiration Toolbox for the Middle Rio

GrandeA Water Resources Decision Support Tool

Al Brower

September 5, 2018

Version 4.0

Water Management DivisionAlbuquerque Area Office

Albuquerque, New MexicoBureau of Reclamation

US Department of the Interior

CONTENTS II

Contents

1 Acknowledgements 1

2 Introduction - About This Document 2

3 Purpose of the AWARDS/ET Toolbox 3

4 Overview of the AWARDS and ET Toolbox 44.1 Data Flow Diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 Quick Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 Computer and Temporal Considerations . . . . . . . . . . . . . . . . . . . . . . 64.4 AWARDS Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.5 ET Toolbox Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.6 Chronology of Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

5 Accessing the AWARDS and ET Toolbox 175.1 MAP with Quantitative Precipitation Estimation (QPE) and River Reaches . . 175.2 Windows and Options Access . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

6 AWARDS Products 196.1 River Reach and Chama/Velarde Windows . . . . . . . . . . . . . . . . . . . . . 196.2 Daily Weather Station (wx) Data . . . . . . . . . . . . . . . . . . . . . . . . . . 196.3 ET Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196.4 Other Areas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

7 ET Toolbox Products 217.1 River Reach and Chama/Velarde Windows . . . . . . . . . . . . . . . . . . . . . 217.2 Daily Weather Station (wx) Data . . . . . . . . . . . . . . . . . . . . . . . . . . 217.3 Grid Cell Detail Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.4 Reach Summary Products Menus . . . . . . . . . . . . . . . . . . . . . . . . . . 22

7.4.1 Reach Summary Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.4.2 Reach Summary Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.4.3 Daily ET Rate Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

7.5 URGWOM ET Maps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

8 Automated Weather Station Data 258.1 Middle Rio Grande Conservancy District . . . . . . . . . . . . . . . . . . . . . . 258.2 New Mexico State Climate Center . . . . . . . . . . . . . . . . . . . . . . . . . . 278.3 Colorado State University Agricultural and Meteorological Network . . . . . . . 288.4 Other Adjacent Areas With Weather Station Data . . . . . . . . . . . . . . . . . 28

CONTENTS III

9 Weather Forecasting 309.1 National Digital Forecast Database (NDFD) . . . . . . . . . . . . . . . . . . . . 309.2 National Centers for Environmental Prediction (NCEP) . . . . . . . . . . . . . . 31

10 NEXRAD Precipitation Estimates 32

11 Effective Rainfall Estimates 33

12 Hargreaves-Samani Reference ET Calculation 34

13 AWARDS/ET Toolbox Calculations 3613.1 Daily ET . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3613.2 Coefficient (KC) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

13.2.1 Coefficient (KC) based on Development Stage - No Longer Used . . . . . 3613.2.2 Coefficient (KC) based on Day-of-Year - Crops and Riparian . . . . . . . 3613.2.3 Coefficient (KC) based on Month - Open Water . . . . . . . . . . . . . . 37

13.3 Vegetative and Open Water Daily Consumptive Use (DCU) - ET Toolbox Only 3713.4 Total Grid Cell DCU - ET Toolbox Only . . . . . . . . . . . . . . . . . . . . . . 3713.5 River Reach DCU - ET Toolbox Only . . . . . . . . . . . . . . . . . . . . . . . . 3813.6 DCU Values in Cubic Feet Per Second - ET Toolbox Only . . . . . . . . . . . . 38

14 GIS Land Classification 3914.1 Reaches 1-8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3914.2 Rio Chama/Velarde . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

15 Open Water Evaporation Estimates 4115.1 Rio Grande Evaporation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4115.2 Elephant Butte Reservoir Evaporation . . . . . . . . . . . . . . . . . . . . . . . 4115.3 Wet Sands Evaporation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

16 Stream Flow Data 4316.1 MRGCD Stream Flow Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4316.2 USBR Pumping Stations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4816.3 USGS Stream Flow Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4916.4 USACE Stream Flow Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5116.5 USFWS (US Fish and Wildlife Service) Stream Flow Data . . . . . . . . . . . . 5116.6 Schematics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5216.7 Direct Links to USGS Gage Information . . . . . . . . . . . . . . . . . . . . . . 53

17 Water Quality Data 54

18 Interface with RiverWare 56

CONTENTS IV

19 Historic ET Toolbox Processing - 1975 to 2005 57

20 ET Toolbox Research 60

21 References 61

22 FIGURES 62

LIST OF FIGURES V

List of Figures

1 NEXRAD Rainfall, WX, and ET Products for the R. G. B. Menu - Part 1 . . . 632 NEXRAD Rainfall, WX, and ET Products for the R. G. B. Menu - Part 2 . . . 643 NEXRAD Rainfall, WX, and ET Products for the R. G. B. Menu - Part 3 . . . 654 NEXRAD Rainfall, WX, and ET Products for the R. G. B. Menu - Part 4 . . . 665 Rio Grande Map - Awards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 676 River Reach 2 - Awards . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 687 MRGCD Daily Weather Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . 698 ET Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 709 Rio Grande Map - ET Toolbox . . . . . . . . . . . . . . . . . . . . . . . . . . . 7110 River Reach 2 - ET Toolbox . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7211 Grid Cell Detail . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7312 ET Summary Products Menu - Reach 2 . . . . . . . . . . . . . . . . . . . . . . . 7413 Reach 2 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7514 Reach 2 Daily Consumptive Use And Rainfall . . . . . . . . . . . . . . . . . . . 7615 Reach 2 Daily Consumptive Use With Running Averages . . . . . . . . . . . . . 7716 Daily ET Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7817 Reach 2 URGWOM ET . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7918 MRGCD Hourly Weather Data . . . . . . . . . . . . . . . . . . . . . . . . . . . 8019 5-km NDFD Grid For Reach 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8120 New Mexico, Texas, and Oklahoma Radar Coverage . . . . . . . . . . . . . . . . 8221 Effective Rain Program . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8322 Effective Rain Comparisions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8423 Hargreaves-Samani Reference ET Equation . . . . . . . . . . . . . . . . . . . . . 8524 Open Water Curve # 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8625 URGWOM Crop Curves . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8726 Rio Chama - ET Toolbox . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8827 River Reach 8 - ET Toolbox . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8928 Elephant Butte Reservoir Evaporation Menu . . . . . . . . . . . . . . . . . . . . 9029 Elephant Butte Detail . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9130 Elephant Butte Daily Evaporation Rates . . . . . . . . . . . . . . . . . . . . . . 9231 Elephant Butte Plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9332 Total Pumping Stations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9433 Cochiti Division Schematic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9534 Albuquerque Division Schematic . . . . . . . . . . . . . . . . . . . . . . . . . . . 9635 Belen Division Schematic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9736 Socorro Division Schematic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9837 Rio Grande Schematic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9938 MRG/SJC Operations Schematic . . . . . . . . . . . . . . . . . . . . . . . . . . 10039 Socorro Main Canal Gage Heading . . . . . . . . . . . . . . . . . . . . . . . . . 101

LIST OF TABLES VI

40 Socorro Main Canal Heading . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10241 Cochiti Lake . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10342 Cochiti Lake . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10443 Stream Flow Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10544 Water Quality Schematic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10645 Rio Grande Below Cochiti Dam Water Quality Plots . . . . . . . . . . . . . . . 10746 Rio Grande Below Cochiti Dam Water Quality Table . . . . . . . . . . . . . . . 10847 URGWOM Consumptive Use - Reach 2 . . . . . . . . . . . . . . . . . . . . . . . 10948 URGWOM Consumptive Use - All Reaches . . . . . . . . . . . . . . . . . . . . . 110

List of Tables

1 Effective Rain As A Percent Of Total Rain (r) . . . . . . . . . . . . . . . . . . . 33

1 ACKNOWLEDGEMENTS 1

1 Acknowledgements

There are numerous people who contributed to the research and development of the ET Toolbox. Thesignificant contributors, listed alphabetically are:Ra Aman - Bureau of Reclamation Contract Computer Specialist (retired), for his knowledge in pro-gramming and scripting, and masterful work with graphics products.Salim Bawazir - New Mexico State University Professor, for his research of crop and riparian wateruse.Steve Bowser - Bureau of Reclamation Hydraulic Engineer (retired), for his technical, planning, andbudgeting support.

Carolyn Donnelly - Bureau of Reclamation Civil Engineer, for her technical, planning, and budgetingsupport.

David Gensler - Middle Rio Grande Conservancy District, for his development assistance and dedi-cation to providing weather and stream flow data.

Steve Hansen - Bureau of Reclamation Deputy Area Manager (retired), for his water managementinsights that led to the developmental ideas of the ET Toolbox, and funding support.

Curt Hartzell - Bureau of Reclamation Meteorologist (retired), for his team leadership, radar andmeteorological knowledge, program management, and visions for the ET Toolbox.

Dave Matthews - Bureau of Reclamation Supervisory Meteorologist (retired), for his dedication andsupport, and for marketing into other Reclamation project areas.

Tom Pruitt - Bureau of Reclamation Civil Engineer, for his superior computer abilities, technicalsupport, and understanding of the intricate operation of the ET Toolbox.

Kenneth Richard - Bureau of Reclamation Project Manager, for his technical and oversite support.

Nabil Shafike - US Army Corps of Engineers, for his dedication to the ET Toolbox and providerof funding support.

Richard Stodt - Bureau of Reclamation Meteorologist (retired), for his meteorological knowledge andteam leadership.

Upper Rio Grande Water Operations Model Technical Team for there advice and support.There were many others who also contributed in the areas of computer support, GIS efforts, and bud-geting, and provided personal support and encouragement.Al Brower - Bureau of Reclamation Civil Engineer (retired), contract consultant for the Toolbox.

2 INTRODUCTION - ABOUT THIS DOCUMENT 2

2 Introduction - About This Document

This documentation is intended to provide information on the data sources, calculations, andformulations of the many output products of the Agricultural WAter Resources Decision Support(AWARDS) system and the Evapotranspiration Toolbox (ET Toolbox). It also provides userguidance for navigating through these products located on the Internet.

This document was requested primarily by users of the products in New Mexico; thereforeit is focused on the operations in the Middle Rio Grande. However, it does contain componentsthat are potentially valid in other AWARDS/ET Toolbox project areas.

This document was written using the LaTeX, pronounced lay-tek, typesetting program op-erating on a Unix based computer, and saved as a pdf document. Most of the figures are froma period of time in the summer of 2018, although there are exceptions. A few were producedwith PC Windows software called SmartDraw.

This pdf document is written to more easily accommodate reading and printing using theAcrobet reader available on personal computers. Using an Internet accessible computer allowsaccess to the numerous website products.

The embedded figures outlined in red on the computer monitor are static, dated when aspectsof this document were written. Dynamic real-time figures and tables are available by clickingon the W , or other text, outlined in blue on the computer monitor following the figure numberor web address. This will activate an Internet link via the users web browser to the AWARDS/ETToolbox website. The address is: http://www.usbr.gov/uc/albuq/water/ETtoolbox/riogrande.html

However, accessing the website during the winter months may produce limited ET and streamflow results.

The website links to other organizations are outlined in blue on the computer monitor.Since the AWARDS/ET Toolbox development is an on-going process, this document will be

modified as related program changes and additions take place. See Cronology of Events (section4.5).

3 PURPOSE OF THE AWARDS/ET TOOLBOX 3

3 Purpose of the AWARDS/ET Toolbox

The primary purpose of the AWARDS/ET Toolbox system is to estimate high-resolution dailyrainfall and water depletions (crop and riparian vegetation ET, and open water evaporation)within specified river reaches. This includes presentation of near real-time rainfall, ET, streamflow conditions, and water quality data as frequently as possible within a readily accessibleInternet site. These data can be used by water managers, river operations and irrigation districtpersonnel, the scientific and farming communities, and the general public who may be interestedin the various levels of water management issues.

These daily and historic values are available for input into RiverWare, which is the rivermodeling and water accounting system used by the Upper Rio Grande Water Operations Model(URGWOM). The URGWOM is a multi-agency effort to develop a numerical computer surfacewater model that covers the Rio Grande from its headwaters in Colorado to Hudspeth County,Texas, the Conejos River, the Rio Chama including the San Juan Chama Project diversions, andthe Jemez River. The purpose of URGWOM is to provide a daily water operations accountingtool that can be used for basin-wide water management and planning. The URGWOM addressis: http://www.spa.usace.army.mil/Missions/CivilWorks/URGWOM.aspx (URGWOM).

The definition of a toolbox is ”a case for carrying or storing hand tools”. The intent of theAWARDS/ET Toolbox system is to provide tools to the user community that help define thesupplies and demands upon the river system. This toolbox is the carrier for the ”tools”, and astorage medium for historic ET and related products.

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 4

4 Overview of the AWARDS and ET Toolbox

Toolbox (ET Toolbox) system is used for estimating daily water use requirements at a resolutionuseful for implementation in the Upper Rio Grande Water Operations Model (URGWOM). TheURGWOM is a multi-agency effort to develop a numerical computer surface water model thatwill cover the Rio Grande from Colorado to Hudspeth County, Texas, Texas.

The purpose of the URGWOM is to provide a daily water operations accounting tool thatcan be used for basin-wide water management and planning. The goal of the ET Toolboxproject is to develop a methodology for automatically inputting daily riparian and crop wateruse estimates, open water evaporation estimates, and rainfall estimates to the URGWOM.The initial development work is focused on the Middle Rio Grande area from Cochiti Dam toElephant Butte reservoir in New Mexico. ET of riparian vegetation and irrigated crops, andopen water evaporation, accounts for about 60 percent of the water depletions over this sectionof the Rio Grande.

Future expansion may include the area north of Cochiti Dam to the Colorado border, andsouth of Elephant Butte reservoir to Hudspeth County, Texas, TX. The current version of theET Toolbox does include the Chama/Velarde area north of Cochiti Dam.

The Middle Rio Grande Conservancy District (MRGCD) divisions (diversions) as used withinthe AWARDS/ET Toolbox system are listed in the following table:

CochitiAlbuquerqueBelenSocorro

The MRGCD address is : http://www.mrgcd.com(MRGCD).The newer river reaches boundaries as used within the ET Toolbox system are listed in the

following table. These reaches were implemented on May 8, 2007. At that time the entireyear 2007 was re-processed using these new reach delineations. Note that the Bernardo gage isnon-operative. The Highway 346 gage is now used as a substitute.

River Reach 1 Cochiti Dam gage to San Felipe gageRiver Reach 2 San Felipe gage to Alameda gageRiver Reach 3 Alameda gage to Central Avenue gageRiver Reach 4 Central Avenue gage to Isleta gageRiver Reach 5 Isleta gage to Bernardo gage (Hwy. 346)River Reach 6 Bernardo gage to San Acacia gageRiver Reach 7 San Acacia gage to San Marcial gage (includes the Bosque Del Apache)River Reach 8 San Marcial gage to north end of Elephant Butte Reservoir

4.1 Data Flow Diagram

The following diagram shows the overall data flow into and out of the AWARDS and ET Toolboxprocesses, including principal data inputs and resulting outputs. Note that many of the inputs

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 5

are shared between them, and outputs from AWARDS are used in the ET Toolbox. The BasinOverview Matrix has been removed from the ET Toolbox.

AWARDS and ET Toolbox Data Flow Diagram.

4.2 Quick Overview

A quick PowerPoint PowerPoint presentation developed by the Albuquerque Area Office is avail-able here:

https://www.usbr.gov/uc/albuq/water/ETtoolbox/rg/doc/ETToolboxOverview.pptx (Overview).

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 6

4.3 Computer and Temporal Considerations

The AWARDS/ET Toolbox operates on a computer using the Community ENTerprise OperatingSystem (CENTOS) which was derived from sources of Red Hat Enterprise Linux. This computeris owned by the Bureau of Reclamation and located in a Department of the Interior facility onthe Denver Federal Center.

To ease the interfacing of various data feeds, all time-related information used throughoutthe ET Toolbox system is rectified to Mountain Standard Time (MST) throughout the year.Therefore, during Mountain Daylight Time (MDT) temporal scaling will be one hour behindclock time. This produces a little confusion for some users, but possibly not as much as the useof the more traditional Universal Coordinated Time (UCT).

4.4 AWARDS Overview

In late FY1997, Reclamation’s Albuquerque Area Office became aware of a newly developedAWARDS system for the Lugert-Altus Irrigation district in southwest Oklahoma. The AWARDSsystem is an automated information system on the Internet designed to assist water managersand users by providing easy access to rainfall and crop water use estimates. AWARDS uses rain-fall estimates based on data from the NEXRAD (NEXt generation weather surveillance RADar)radar systems and remote automated weather stations. The Albuquerque Area Office requestedthat the AWARDS system be implemented in the Rio Grande, primarily as the foundation forthe development of the desired ET Toolbox.

The primary purpose of the AWARDS system is to improve the efficiency of water manage-ment and irrigation scheduling by proving guidance on when and where to deliver water, andhow much to apply. The resulting ET charts from AWARDS provide this guidance. AWARDSsystems that have been implemented east of the Continental Divide use the NEXRAD Hy-droview Multisensor Precipitation Estimation System (MPE) program (radar and gage) hourlyproduct produced by the National Weather Service’s (NWS) River Forecast Centers (RFCs) ona 4 km grid scale.

However, for the Middle Rio Grande, the Pecos Basin, and Upper Rio Grande in Colorado,a different precipitation system was implemented on June 15, 2007. This is the QuantitativePrecipitation Estimation and Segregation Using Multiple Sensors (QPESUMS) on an approxi-mate 1-km grid. These QPESUMS (abbreviated to QPE) data are automatically collected intothe AWARDS/ET Toolbox computer via the World Wide Web get (Wget) process from theCenters for Environmental Prediction (NCEP). The entire year back to January 1, 2007 wasre-processed based on the QPE.

The National Digital Forecast Database (NDFD) weather forecasting data are used for cal-culating the seven-day forecast ET. This forecast is on a 5-km grid. Days 4-7 forecast rain areobtained from the National Centers for Environmental Prediction (NCEP) on a 1 degree by 1degree resolution.

Automated weather stations in AWARDS system areas transmit surface weather data via

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 7

radio signal, phone, or satellite to local computer systems. The daily data are then automaticallycollected from the local computer systems, via File Transfer Protocol (FTP) or Wget, into theAWARDS/ET Toolbox computer.

The Modified-Penman method was used to calculate reference ET for each weather stationthrough year 2011. Weather data used for calculating reference ET by this method was themaximum and minimum temperatures, average relative humidity, average wind speed, and solarradiation for the previous 24-hour Mountain Standard Time (MST) day.

Starting in 2013 the temperature based 1985 Hargreaves-Samani method is used to calculatereference ET.

Coefficients are applied to the reference ET to provide water use estimates for crops, riparian,and open water. These estimates, ET and rainfall forecasts, and effective rainfall are integratedinto the images via pop-up charts.

Reservoir operators, water managers, and on-farm water users access the AWARDS systemproducts via the web site to make their operational decisions.

An older AWARDS system brochure is available at:(Agricultural WAter Resources Decision Support (AWARDS)).The address is: https://www.usbr.gov/uc/albuq/water/ETtoolbox/awards.htmlIn summary, these are the inputs and outputs of the AWARDS system:

Inputs1) Daily NEXRAD (QPE) precipitation estimates2) Daily and hourly weather station data3) Static GIS base images4) NDFD 7-Day forecast weather data (rainfall for days 1-4 only)5) NCEP days 4-7 forecast rainfall

Outputs1) Daily NEXRAD (QPE) rainfall images2) Daily and hourly weather station data (hourly for information only)3) Reference ET by weather station and forecast weather data4) Crop and riparian ET by weather station and forecast weather data (when required)5) Open water evaporation by weather station and forecast weather data (when required)6) ET charts containing past ET, forecast ET, NDFD, NCEP, and effective rainfall and forecast weather data

Refer to AWARDS Products (section 6) for more information on the operation of theAWARDS system.

4.5 ET Toolbox Overview

The AWARDS/ET Toolbox computer first operates on the AWARDS system requirements,generating rainfall images and ET charts. It then expands these requirements into the finerresolution ET products to provide detailed volumetric water use estimates for the QPE cellsand river reaches. As an extension of the AWARDS system, the ET Toolbox inputs the Reference

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 8

ET, crop and riparian ET, and open water evaporation from the AWARDS system. It also usesthe following components that are not applied in the AWARDS system:

1) Geographic Information System (GIS) land use, both agricultural and riparian acres2) Real-time stream flow data3) Real-time water quality data

The primary purpose of this effort is to estimate daily rainfall and water depletions foreach QPE grid cell and the specified river reaches. These daily ET estimates and summaryyear-to-date cumulative ET estimates are available to users and water managers via the website.

GIS land use is added to the AWARDS product to specify crop, riparian, and open wateracreage within each QPE grid cell (resolution about 1 km x 1 km) along the Middle Rio Grande.Prior to June 8, 2004 the Middle Rio Grande Land Use Trend Analysis (LUTA) GeographicInformation System (GIS) data base for 1992/93 was used. After that date, a combination ofthe July 2000 IKONOS satellite imagery at 4 meter spectral resolution land use data set andthe year 2001 Utah State University (USU) aerial photography at .5 meter resolution was used.

Beginning with year 2012, the agricultural vegetation classification component was obtainedfrom the MRGCD crop reporting process via ARCGIS shape files. These classifications are fromthe prior year. As an example the 2012 irrigation season used the 2011 crop reporting. (Anexception was year 2014 when the 2012 data were used.) Wherever the crop reporting exists, theIKONOS or USU is erased and the crop reporting is inserted. Since GIS land use classificationsare critical for the Toolbox, this yearly reporting process improves the agricultural ET estimates.

All of the vegetation data sets are transposed to the QPE grid cell resolution. GIS method-ologies are then used to compare these data sets to determine changes in the vegetation andwater depletion over time. The most recent and accurate data sets that cover the areas ofinterest are chosen for the ET Toolbox.

Grid cells, with GIS acreages, are now assigned to near-by weather stations, and then eithera single weather station, or multiple weather stations, are assigned to to each river reach. Theycan easily be reassigned whenever new weather stations are installed, land use data sets becomeavailable, or groupings are added or modified. If data from an assigned weather station is notavailable, then forecast data accessed from the NDFD for the prior day are used for the currentday.

The station ET is applied to the grid cell acreage to get an acre-foot and cubic foot persecond estimate of consumptive use for the cell.

The primary purpose of this effort is to estimate daily rainfall and water depletions foreach QPE grid cell and the specified river reaches. These daily ET estimates and summaryyear-to-date cumulative ET estimates are available to users and water managers via the website.

Plots include total daily agricultural, riparian, and urban ET, and open water evaporation, aswell as 5-day and 10-day running averages of daily ET to help detect water requirement trends.Also included is real-time access to data acquired from several agencies, including weather,

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 9

stream gage, water quality, and radar rainfall estimates. Various links to other agencies foradditional information are also provided.

The daily cumulative river reach ET estimates are also provided to the URGWOM for useby RiverWare, using a Data Storage System developed by the U.S. Army Corps of EngineersHydrologic Engineering Center.

Weather forecasting for the purposes of predicting ET for today and the next six days, andfor substituting data for non-reporting weather stations, is accomplished by using the NDFDweather forecast parameters.

In summary, these are the inputs and outputs of the ET Toolbox system:

Inputs1) Daily NEXRAD (QPE) precipitation estimates2) Daily and hourly weather station data3) Static GIS base images4) Static GIS land use updated when available, including yearly MRGCD agricultural acres5) NDFD 7-Day forecast weather data (rainfall for days 1-4 only)6) NCEP days 4-7 forecast rainfall7) Real-time stream flow data8) Real-time water quality dataOutputs1) Daily NEXRAD (QPE) rainfall images2) Daily and hourly weather station data (hourly for information only)3) Cell by cell, reach, and basin ET4) Daily ET rates5) URGWOM ET maps6) Stream flow data7) Water quality data

Refer to ET Toolbox Products (section 7) for more information on the operation of the ETToolbox.

4.6 Chronology of Events

The table on the following page shows some of the significant events that have occurred duringthe development of the AWARDS/ET Toolbox system, back to May, 2004. To see updatedinformation click on Recent Changes to the AWARDS/ET Toolbox from the Home Page athttps://www.usbr.gov/uc/albuq/water/ETtoolbox/riogrande.html W).

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 10

DATE EVENT————- —————————————————-July 23, 2018 Adjusted rain in consumptive use calculations

May 1, 2018 Updated the Agricultural vegetation classificationsusing the 2017 MRGCD crop report acres. All Toolboxagricultural ET values are now based on these acresstarting January 1, 2018. There are no changes in theRiparian acres.

Apr. 18, 2018 Beginning March 6, 2018, began using the URGWOMrecommended crop coefficients, starting Jan.1, 2018.These are time based curves divided into three regions:1) Bernalillo to Central2) Central to Isleta.3) Isleta to Bernardo

Apr. 18, 2018 Beginning March 6, 2018, began using weather datafrom nine MRGCD weather stations. If any dailyparameter is out of range or missing the Toolboxreverts to forecast weather data. See June 30, 2016.

May 11, 2017 Updated the Agricultural vegetation classificationsusing the 2016 MRGCD crop report acres. All Toolboxagricultural ET values are now based on these acresstarting January 1, 2017. There are no changes in theRiparian acres.

Oct. 13, 2016 Removed Daily Soil Temp. and Moist. - FuelTemp. and Moist. due to unavailable data.

June 30, 2016 For several years there has been a lack of real-timeweather station data available for the Toolbox.As a replacement, 5-km resolution forecast data fromthe National Digital Forecast Database (NDFD) havebeen used as substitutions for calculating ET in theRio Grande Valley from the Chama/Velarde area souththrough Reach 8, except for the Alcalde area.Each of the approximately 18 weather stations wasassigned to a 5-km forecast cell.

Rather than making the 18 substitutions, the Toolboxas of June 30, 2016 now uses approximately 127 5-kmforecast cells. Each 1-km nexrad cell is assigned to alocal 5-km cell. Yesterday’s forecast for today isused for calculating reference ET, crop ET, andconsumptive use for that 1-km cell.

Example: the forecast on the evening of July 1 for thefollowing day (July 2) is used for ET calculatons forJuly 2 using the Hargreaves method for Referance ET.To see the forecast data, click on a reach within eachmap. Then click on a red + to see 5-km cell forecastweather data.

All references to weather stations are being removed.Should real-time weather station(s) become availablethey will become priority and again used for ETcalculations.

May 25, 2016 Updated the Agricultural vegetation classificationsusing the 2015 MRGCD crop report acres. All Toolboxagricultural ET values are now based on these acresstarting January 1, 2016. There are no changes in theRiparian acres.

April 14, 2016 Moved the ET Toolbox to a new computer systemand moved the Toolbox to the Albuquerque websitehttps://www.usbr.gov/uc/albuq/water/ETtoolbox/riogrande.html.

April 21, 2015 Changed information about NEXRAD source and processing.This is version 3.1.

Feb. 20, 2015 Minor edits to the documentation.This is version 3.01.

Feb. 12, 2015 Completed an update of the documentation representingthe ET Toolbox as of this date.This is version 3.0.

Oct. 8, 2014 Added two water quality sites to the WaterQuality Schematic.

Feb. 25, 2014 Updated the Avalon Reservoir data on the Pecosimage.

Feb. 20, 2014 Cleaned out old year(s) data from the WeatherStation Data / Plots image.

Feb. 18, 2014 Removed Candelaria Farms Field Sch. from theReach 3 image.

Dec. 19, 2013 Installed a Water Quality Schematic Test Site

July 9, 2013 The Basin Overview Plots from June 13 throughJuly 8, 2013 contain incorrect Otowi andSan Marcial streamflow data.

May 23, 2013 Updated the Agricultural vegetation classificationsfrom the 2011 MRGCD crop report acres to the2012 MRGCD crop report acres, resulting in abouta 1% increase in agricultural acres. All Toolbox ETvalues are now based on these acres startingJanuary 1, 2013. There are no changes in theRiparian acres.

May 1, 2013 Removed ”Tamarisk ET Model Research and Comparisons”from the website due to lack of data.

April 25, 2013 Removed ”Candelaria Farms Field Scheduling on AlfalfaField” from the website due to lack of data.

April 16, 2013 The AWARDS/ET Toolbox is converted from the SUSELinux operating system to the Community ENTerpriseOperating System (CENTOS) Linux.

April 11, 2013 On the Pecos River map fixed the Brantley Reservoirpop-up to display reservoir plot and data.The Avalon data are not available at this time.

April 11, 2013 The New Mexico State Climate Center weather dataare zero for this year. When available again, we’llpost a message here.

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 11

June 27, 2012 Upon advice from Middle Rio Grande research personnel,the Toolbox has started using the 1985 Hargreavesmethod for calculating Reference ET, which is atemperature based equation. All Toolbox ET values arenow based on this method starting January 1, 2012.Lack of quality wind, solar, and humidity data, whichare required by other methods, has forced thisdecision. Once quality data become available the aToolbox may revert back to the ASCE Standardizedmethod.

June 27, 2012 The growing degree day based crop coefficients havebeen replaced with coefficients developed byresearchers in the Middle Rio Grande. A combinationof temperature, stage-of-growth, and monthlyprocesses is implemented. These processes can bealtered as more research and discussion evolves.This has resulted in lower agricultural ET estimatesand higher riparian and open water estimates.

April 4, 2012 The ET Toolbox is now using the ASCEStandardized method for calculating Reference ET.All Toolbox ET values are now based on this methodstarting January 1, 2012.

April 4, 2012 Changed the vegetation classifications:Agricultural = MRGCD crop reports from year 2011.Riparian = Combination of year 2000 IKONOS at4 meter resolution and year 2001Utah State Univ. at .5 meter resolution.This change also reduces the extent of theclassifications to the river corridor, resulting ina significant reduction in riparian consumptive use.

Oct. 6, 2011 Improved the retrieval timing of the USGS streamflowdata.

Sept. 28, 2011 The terminate (stop) date for all agricultural cropsis now October 31. This affects Corn and Sorghumwhich prior to this change had earlier dates.Termination may also occur earlier as a function ofthe summation of growing degree days and the cropcurve.

Sept. 22, 2011 The old Belen, North, and South schematics wereremoved.

Aug. 25, 2011 New stream flow schematic for the Socorro Divisionwas implemented.

May 4, 2011 The delineation between river Reaches 5 and 6 waschanged to reflect the demise of the BernardoRio Grande USGS stream flow measurement gage. Thedelineation is now at the State Hwy. 346 near theBosque, Nm measurement gage.

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 12

Feb. 24, 2011 The ET Toolbox is now using the FAO-56Penman-Monteith method for calculating Reference ET.All Toolbox ET values are now based on this methodstarting January 1, 2011.

Feb. 18, 2010 New stream flow schematics for the Rio Grande, andCochiti, Albuquerque, and Belen Divisions wereimplemented. A new Water Management schematic showingreservoir data and Reach depletions, inflows, andgain/loss values was also implemented.

Aug. 27, 2009 The Tamarisk ET Model and Comparisons broke onSeptember 9, 2008 due to lack of real-time hourlyweather data at the South Bosque weather station.In August, 2009 these data became available from SalimBawazir at NMSU. The model was rerun for all of 2008and through July 24, 2009.

July 14, 2009 Data from the COAGMET station near La Jara, COis no longer available since July 3, 2009.

June 2, 2009 Modified the crop coefficient for Open Water andWet Sands. This is based on results of the”Open Water/Wet Soil Evaporation From The Rio Grande”final report dated April 2007. The report states thatthe Toolbox over predicts by 31% - however the Lidarstudy was done in unusually rainy and high flowconditions. This change reduces the Jensen Oct. 98Open-Water monthly coefficients by 15% until amore realistic Lidar or other study can beaccomplished. This change affects all Open Water andWet Sands ET since January 1, 2009.

April 16, 2009 Reinstated the Colorado State Univ. COAGMET stationsin the Upper Rio Grande area which are two stationsnear Center, Co and one station near La Jara, CO.The Blanca and San Acacio stations have no data.

April 8, 2009 Modified weather and stream flow data acquisitiontiming to better reflect when data are available.

April 3, 2009 Updated map positioning of some NMSCC weatherstations.

Feb. 11, 2009 Installed Ladd S Gordon weather station in Reach 5.

Jan. 28, 2009 The AWARDS/ET Toolbox is converted from the SunSolaris computer to an IBM System 3650 computerrunning the SUSE Linux operating system.

Oct. 8, 2008 Various edits, additional USBR Pumping Stationinformation, and new Flow Diagram figures results inversion 2.1.

Aug. 28, 2008 The Basin Overview Plots were modified. The greenplots of Daily Consumptive Use are now Daily Net WaterUse which is the Daily Consumptive Use minus Rain.

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 13

May 1, 2008 New Stream Flow Products figure in the documentationresults in version 2.0.1.

April 24, 2008 Version 2.0 of the documentation is completed.

Dec. 10, 2007 Removed Los Chavez Bosque weather station andinstalled Toni Barrow Farm weather station in Reach 5.

Oct. 23, 2007 Revised the web-site New Mexico home page to allowmore direct access to the Awards and ET Toolboxproducts.

Oct. 4, 2007 Added forecast rain for forecast days 4-7. Thesedata are Quantitative Precipitation Forecasts fromthe National Centers for Environmental PredictionGlobal Forecasting System model. The resolution ofthis forecasted days 4-7 rain is 1 degree by 1 degree(110km north-south by 90km east-west).

June 21, 2007 Modified the New Mexico home page to allow a moredirect link to the MRGCD Stream Flow Schematics.These also remain available from the New Mexico map.

June 15, 2007 The old AWARDS/ET Toolbox basedon the HRAP 4x4 km grid, 3-day Eta forecast, andold URGWOM river reach delineations was shut down.User’s were automatically redirected to the newQPESUMS (abbreviated to QPE) site that is brieflyexplained in the May 8, 2007 notes, below.

June 14, 2007 On June 15, 2007, the old AWARDS/ET Toolbox basedon the HRAP 4x4 km grid, 3-day Eta forecast, andold URGWOM river reach delineations will be shut down.User’s will automatically be redirected to the newQPESUMS (abbreviated to QPE) site that is brieflyexplained in the May 9, 2007 notes, below.Documentation of this new site is under way.

In the meantime, information for QPESUMS can befound at: https://www.nssl.noaa.gov/projects/qpesums/

Information for seven-day weather forecasting by theNational Digital Forecast Database (NDFD) models canbe found at: https://www.weather.gov/mdl/ndfd/home

June 13, 2007 Modified the AWARDS ET charts by replacing theQPF (Quantitative Precipitation Forecast) valueswith 3-day NDFD (National Digital Forecast Data).

Removed the Candelaria Farms Future 3-days AirTemperature and Relative Humidity plot since weno longer acquire hourly forecast data.

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 14

May 9, 2007 Numerous changes were made:

1. Quantitative Precipitation Estimation andSegregationUsing Multiple Sensors (QPESUMS) on an approximate1-km grid.

2. Eight new URGWOM river reaches.

3. Seven-day National Digital Forecast Database(NDFD) weather forecasting models (although therain is forecasted for only 3-days, and the solarradiation is approximated from min and maxtemperatures with coefficients). This forecastis on a 5-km grid.

4. URGWOM ET maps for each reach, with 1-weekanimation.

5. Improved ET estimates at 1-km cells that bisectreach boundaries.

6. Implemented open water evaporation estimates forthe Rio Grande using the FLO2D model.

7. Estimating wet sands evaporation within the banksof the Rio Grande.

8. Estimating evaporation from Elephant Butte Reservoir

9. Estimating Tamarisk ET in the Bosque Del Apacheusing the Utah State Univ. model.

10. Removed cell rainfall postings.

11. Revised design of the Middle Rio Grande web site.

The old HRAP 4-km, old reaches, and 3-day Eta 12-kmforecast site was still available until June 15, 2007.

June, 2006 Rio Chama/Velarde area window was created, using anestimated crop land distribution of 30% orchard,30% alfalfa, and 40% pasture grass.

April 6, 2006 Generated historic ET summation information for eachof the eight new URGWOM river reaches, based on theHRAP 4-km grid cells, for years 2000-2005.

April, 2006 Implemented a new stream flow schematic for the MRGCDBelen Division

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 15

May, 2005 Implemented Candelaria Farms Field Scheduling and soilmoisture measurements at many MRGCD weather stations

Aug. 4, 2004 The NMSCC South Bosque (SBOS) hourly data is nowincluded in the MRGCD Weather Station Network hourlypop-up image (fig. 20 in the documentation).This supports the ET Model for Tamarisk - seeJuly 14, 2004.

July 27, 2004 MRGCD weather stations are added:

CQFN Cisto Quintana Farm - NM - MRGCD - May 4,2004CSBN Corrales Bosque - NM - MRGCD - May 4,2004PDFN Prices Dairy Farm - NM - MRGCD - July 13,2004BWWN Bosque Farms - NM - MRGCD - May 6, 2004LCZN Los Chavez Bosque - NM - MRGCD - July 13,2004GWFN Gus Wagner Farm - Nm - MRGCD - July 13,2004

The AWARDS/ET Toolbox is rerun each day fromJanuary 1. Therefore, data from the the NCEP Eta12 km model is used until the station is active.

July 14, 2004 Added the Model for Daily Evapotranspirationof Tamarisk at the Bosque Del Apache, as detailedin a paper by Hipps and Hattori, USU.

June 29, 2004 Modified NEXRAD rainfall usage; now based onvegetative start and terminate dates rather thanthe entire year.

June 8, 2004 Now Using the newer GIS information for landclassification, a combination of the 2000 IKONOSsatellite imagery at 4 meter resolution and the2001 Utah State University (USU) aerial photographyat .5 meter resolution. The IKONOS is used fromCochiti Dam to Elephant Butte Reservoir headwaters(Reaches 1-7). The USU exists in a small part ofReach 3, Reaches 4, 5, and 6, and part of Reach 7.Wherever the USU exists, the IKONOS was erased andthe USU was inserted.

This replaces the 1992/93 Land Use Trend Analysis(LUTA), plus others. The Toolbox was/is rerun everyday from January 1, 2004 to present with these newerGIS data for all vegetation groups.

The historic runs, from 1975 through 2003, continue tobe based on the LUTA, plus others.

4 OVERVIEW OF THE AWARDS AND ET TOOLBOX 16

June 7, 2004 Implemented the Nambe window.

June 3, 2004 The Daily ET Rate Tables now contain the GISclassification number.

May 26, 2004 MRGCD weather stations are added:

BBAN Bosque Bar - NM - MRGCD - Mar. 2, 2004ASFN Adolf Sanchez Farm - NM - MRGCD - May 4, 2004

The AWARDS/ET Toolbox is rerun each day fromJanuary 1. Therefore, data from the the NCEP Eta12 km model is used until the station is active.

5 ACCESSING THE AWARDS AND ET TOOLBOX 17

5 Accessing the AWARDS and ET Toolbox

Access to the AWARDS/ET Toolbox Home Page is via the Internet at:https://www.usbr.gov/uc/albuq/water/ETtoolbox/riogrande.html W).This provides the Home Page: ”NEXRAD Rainfall, Weather Station, and ET Products for

the Rio Grande Basin”The following four figures represent the Home Page.(figure 1) and it’s continuation’s (figure 2) (figure 3) (figure 4)There are many products available as described in the following sub-sections.The website has evolved over the years based on the needs and special interests of various

users, and therefore contains products that may not be of interest to everyone.Most of the products are available by clicking on ”MAP with Quantitative Precipitation

Estimation (QPE) and River Reaches”NOTE: Many of the products are also available from the Home Page.

5.1 MAP with Quantitative Precipitation Estimation (QPE) andRiver Reaches

Clicking on ”MAP with Quantitative Precipitation Estimation (QPE) and River Reaches” pops-up an inter-active AWARDS/ET Toolbox window labeled ”Image of QPESums latest day rainover middle Rio Grande”. This image will henceforth be called the Rio Grande Map (figure 5W) showing the specific windows outlined in white over the Middle Rio Grande.

Windows generally contain lands that receive water from a diversion dam usually located atthe northern most edge of the window. Exceptions are when multiple windows are needed forclarity, or when diversions are not defined. Other windows define the URGWOM river reachesone through eight. The color scale at the bottom of these windows represents the 24-hour rainfallintensities, in inches, that are mapped into each of the approximate 1 km x 1 km QPE gridcells. Refer to NEXRAD Precipitation Estimates (section 10) for more information.

The AWARDS system and ET Toolbox products are turned on and off by clicking on thebox labeled ”+ or - ETTool”.

The ET Toolbox products are available by clicking the box labeled ”+ ETTool”. foundthroughout the various pop-up windows. Refer to ET Toolbox Products (section 7).

For the AWARDS system ET charts, click the box labeled ”- ETTool”. For these areas, referto AWARDS Products (section 6).

5.2 Windows and Options Access

Within each window there are small rectangular boxes containing red lettering. These allow theuser to quickly navigate the website:

5 ACCESSING THE AWARDS AND ET TOOLBOX 18

1) Move between windows2) Go to the Albuq. Water Home Page3) Go to the Home Page4) Go to the parent window5) Turn on/off the ET Toolbox vs AWARDS6) Look at the past seven days7) Perform a 1 week animation8) Look at weather station data9) Look at forecast weather data10) Look at stream flow data11) Look at River Reach summaries12) Look at URGWOM ET maps13) Etc.

6 AWARDS PRODUCTS 19

6 AWARDS Products

The purpose of the AWARDS system is to provide generalized ET information for improvingwater use efficiency. The resulting rainfall estimate images and ET charts were developed toachieve this goal. Refer to the AWARDS/ET Toolbox Calculations (section 13) for informationon the calculation of ET as used in the AWARDS system.

Access to the AWARDS products is from the Home Page (figure 1 W) where the user shouldchoose ”MAP with Quantitative Precipitation Estimation (QPE) and River Reaches”.

The resulting Rio Grand Map (figure 5 W) shows the NEXRAD rainfall estimates throughoutthe Rio Grande. Each rainfall pixel is on an approximate 1 km scale. The 1 km rainfall isrepresented by the color intensity scale at the bottom of the image. These are daily (midnight-midnight) summations of hourly rain in inches. Refer to NEXRAD Precipitation Estimates(section 10 throughout the Rio Grande. for more information.

The river reach windows on the image are outlined in white.By default, this is an image of the AWARDS products.(To go to the ET Toolbox products when in AWARDS, click in the box labeled ”+ ETTool”)NOTE: Many of the products are also available from the Home Page.

6.1 River Reach and Chama/Velarde Windows

Clicking within a window in this Rio Grande Map allows access to the AWARDS products. Thisis an example image for river reach 2 labeled ”Image of QPESums latest day rain over reach2in area above Albuquerque” (figure 6 W).

6.2 Daily Weather Station (wx) Data

Daily weather station data are available by clicking on the weather station name This exampleshows the daily data at the Angostura weather station for the period June 14 - July 23, 2018.(figure 7 W). An asterisk (*) before the date indicates values are from forecast weather data.Clicking on the red plus (+) signs provides the forecast weather data that, if necessary, may beused on place of weather station data that are missing or out of normal range.

Refer to Automated Weather Station Data (section 8) for more information about the data.

6.3 ET Charts

ET charts are available by clicking into the QPE cells, defined by white + signs at their corners,to pop-up a generalized ET chart showing the ET for all crops, riparian vegetation, and openwater (Flow2DWater) that may be in the area. This example is for the QPE cell 2346 x 1534in the River Reach 2 area served by the Angostura weather station (figure 8 W).

6 AWARDS PRODUCTS 20

No acreages or rainfall values are used in these calculations. The heading at the top of eachchart shows the name of the weather station data that was used. Refer to Hargreaves-SamaniReference ET Calculation (section 12) for more information.

ET for seven forecast days, starting with today, are provided as calculated from the NDFDdata. Refer to AWARDS/ET Toolbox Calculations (section 13) for more information.

The sum of ET to-date and the sum for the last seven and 14 days is shown. Each weatherstation is assigned to an array of QPE cells, therefore the ET portion of the charts may beidentical for nearby cells. The start (plant) and terminate (harvest) dates are also given. Ex-ample date value 101 represents January 1 and 1231 represents December 31. These start andterminate dates may vary from north to south since they are based on spacial crop coefficients.Refer to Hargreaves-Samani Reference ET Calculation (section 12) for more information.

Near the bottom of each chart is a posting of the NEXRAD rainfall estimates for the QPEcell. The ”NEXRAD hrs avail” will always be 24, since the NEXRAD data are collected via FTPfrom the National Centers for Environmental Prediction of NOAA on a daily bases. The totalrain and calculated effective rain are provided. Refer to Effective Rainfall Estimates (section11) for more information.

The columns headed NDFD are the forecast rainfalls for the next 3 days. The columnsheaded NCEP are the forecast rainfalls for days 4 through 7. Refer to Weather Forecasting(section 9) for more information.

The NEXRAD monthly total rain and effective rain (since the beginning of the current year)and the QPE cell number are also provided.

6.4 Other Areas

Areas represented in the AWARDS system that do not have calculated ET but are availablefor rainfall viewing are Upper Rio Grande, Alcalde, Nambe, Truth or Consequences, Derry, LasCruces, El Paso NW, El Paso SE, and Pecos River. These can be accessed from the Rio GrandeMap (figure 5 W).

NOTE: A more direct way to access these areas is via the Home Page (figure 2 W) choosing”Rain, USGS Links, and Weather Data in Other Areas”.

7 ET TOOLBOX PRODUCTS 21

7 ET Toolbox Products

For operational and management purposes, the ET Toolbox provides products for river reachesand, as a special case, the Chama - Velarde area. This allows operation and management entitiesaccess to various consumptive use breakouts depending upon their requests and needs. Refer tothe AWARDS/ET Toolbox Calculations (section 13) for information on the calculation of ETas used in the ET Toolbox system.

Access to the ET Toolbox products is from the Home Page (figure 1 W) where the usershould choose ”MAP with Quantitative Precipitation Estimation (QPE) and River Reaches”.

The resulting image, the Rio Grande Map, (figure 5 W) shows the NEXRAD rainfall esti-mates throughout the Rio Grande. Each rainfall pixel is on an approximate 1 km scale. The1 km rainfall is represented by the color intensity scale at the bottom of the image. These aredaily (midnight-midnight) summations of hourly rain in inches. Refer to NEXRAD PrecipitationEstimates (section 10) for more information.

The river reach windows on the image are outlined in white.By default, this is an image of the AWARDS products. To get to the ET Toolbox products,

click in the box labeled ”+ ETTool”.(To go to the AWARDS products when in the ET Toolbox, click in the box labeled ”-

ETTool”)NOTE: Many of the products are also available from the Home Page.The image resulting from clicking on ”+ ETTool” (figure 9 W) is similar to the AWARDS

described image, except it contains more options by clicking in the boxes.(To go back to the AWARDS products when in the ET Toolbox, click in the box labeled ”-

ETTool”)

7.1 River Reach and Chama/Velarde Windows

Clicking within a window in this Rio Grande Map allows access to the ET Toolbox products.This is an example image for river reach 2 labeled ”Image of QPESums latest day rain overreach2 in area above Albuquerque” (figure 10 W).

7.2 Daily Weather Station (wx) Data

Daily weather station data are available by clicking on the weather station name, like ANG24This example shows the daily data at the Angostura weather station for the period June 14 - July23, 2018. (figure 7 W). An asterisk (*) before the date indicates values are from forecast weatherdata. Clicking on a red plus sign (+) provides the forecast weather data, that if necessary, maybe used in place of no wx data or wx data that are out of normal ranges. Refer to AutomatedWeather Station Data (section 8) for more information about the data.

7 ET TOOLBOX PRODUCTS 22

7.3 Grid Cell Detail Tables

Grid cell detail tables are available by clicking into the QPE cells, defined by + signs at theircorners, to pop-up a cell detail table showing the acres of each crop, riparian, open water, andurban species in the cell as defined by the GIS data set. (figure 10 W)

NOTE: There are currently no urban land use classification, therefore all urban values willbe zero.

This example is for QPE cell 2346 x 1534 in theRiver Reach 2 area served by the Angostura weather station (figure 11 W).The table includes the consumptive use for the last seven days and the next seven forecast

days, and the totals by type, such as agricultural crops. An asterisk (*) after the date indicatesvalues are from forecast weather data. Today (July 24) is considered the first of the forecastdays. Near the bottom of the table are the daily NEXRAD effective rainfall estimates for thecell. The URGWOM water use is the total consumptive use minus the NEXRAD effective rain.All quantities are in acre-feet. Those in parentheses are in cfs.

7.4 Reach Summary Products Menus

The ET Toolbox Summary for all reaches is accessible from the square box near the upper leftcorner of the Rio Grand Map (figure 9 W). The menu that pops-up is titled ”ET SummaryToolbox Summary all reaches”. This menu provides information similar to that described belowfor reaches, except there no daily ET rate tables.

Reach summary products, including tables and plots, are available by clicking in the appro-priate boxes from this example, which is reach 2 (figure 10 W). As an example, clicking in the”River Reach 2 Summary” box from the Reach 2 image will pop-up this ET Summary Products(To-Date) menu (figure 12 W). The options available are a table, two types of plots, and dailyET rates by vegetative type. These are explained in the following five sub-sections.

7.4.1 Reach Summary Tables

Clicking on ”Table” from the ET Summary Products (To-Date) menu (figure 12 W) provides thefollowing table data for river reach 2 (figure 13 W). The classification source used for determiningthe consumptive use is noted. A number of weather stations and NDFD model cells have beenused for the calculations. The table shows, for each day, the total consumptive use in cubic feetper second (cfs) with a breakdown for each type (agricultural, riparian, open water, and urban).The daily rain is the NEXRAD effective rainfall estimate. The daily URGWOM water use is theconsumptive use minus the NEXRAD effective rain. Five and 10 day running averages of thewater use are also provided. The total URGWOM water use to-date in acre-feet since January1 is included. An asterisk (*) after the date indicates values are from forecast weather data.

The forecast method (FM) column next to the date signifies the method used to calculatethe consumptive use for seven forecast days, starting with today. An F indicates the 5-km grid

7 ET TOOLBOX PRODUCTS 23

NDFD weather forecast parameters were used, including NDFD model forecast effective rainfallfor the first three forecast days and the NCEP forecast effective rainfall for days 4-7. At thebottom of the cell summary is a tabulation of the acres of each type. There is no urban landuse classification, therefore values are always zero.

7.4.2 Reach Summary Plots

There are two plots available from the ET Summary Products (To-Date) menu (figure 12 W).

7.4.2.1 Plot of last 14 and 7 forecast days - Total Consumptive Use, Agricultural,Riparian, Open Water, and Urban - also Rain The first plot (figure 14 W) contains achart (in cfs) of the total daily consumptive use, affected by effective rain, and traces for eachtype, unaffected by rain. This is an example of river reach 2. The other river reaches and Cochitigage to Elephant Butte Reservoir are similar. A bar chart of the NEXRAD effective rainfallestimate (in cfs) is also included. These data are plotted for the past 14 days, plus the sevenforecast days (dashed traces), starting with today. A break in a trace indicates there were nodata available for that period of time.

7.4.2.2 Plot of last 14 and 7 forecast days - Total Consumptive Use with Five andTen-Day Running Averages The second plot for river reaches and Cochiti gage to ElephantButte Reservoir contains a chart (in cfs) of the total daily consumptive use, affected by effectiverain, and traces of the five and 10 day running averages of the total (figure 15 W). These dataare plotted for the past 14 days, plus the seven forecast days (dashed traces), starting withtoday. A break in a trace indicates there were no data available for that period of time.

7.4.3 Daily ET Rate Table

Another system of tables is available from the ET Summary Products menu for each of thereaches (figure 12) The menu contains pop-ups for all agricultural, riparian and open waterclassifications W). These are the daily ET rates. They contain the daily ET rates for each specieswithin each type for the reach, with a notation of the acres. The source of the classificationsare the MRGCD agricultural crop reports and 2000/2001 IKONOS/USU riparian, noted asMRIU. The daily open water evaporation rates acreage can vary daily. Refer to Open WaterEvaporation Estimates (section 15). Clicking on a species, such as Alfalfa, pops-up the tablecontaining detailed information about the parameters used to calculate ET (figure 16 W). Theseinclude the acres, planting and termination dates (start and stop dates), reference ET, coefficient,ET, total water use, NEXRAD effective rain, and URGWOM water use, for each day from theplanting date through yesterday. These are the data that are accumulated for the ET Toolboxand reach tables. An asterisk (*) before the date indicates values are from forecast weatherdata.

7 ET TOOLBOX PRODUCTS 24

7.5 URGWOM ET Maps

These maps (figure 17 W) show the URGWOM ET that is mapped into each of the approximate1km x 1km QPE grid cells. The ET has been reduced by the NEXRAD effective rain; thereforenegative representation is possible. The color scale at the bottom of these maps provides theinches of daily URGWOM ET.

8 AUTOMATED WEATHER STATION DATA 25

8 Automated Weather Station Data

Weather data from three sources are used, or presented, within the AWARDS and ET Toolboxproducts. These data are used by the Toolbox to perform Reference ET calculations, and arevery important for determining accurate daily ET values. The sources are:

Middle Rio Grande Conservancy District (MRGCD)New Mexico Climate Center (NMSCC)Colorado Agricultural Meteorological Network (COAGMET)

Example of automated weather station used in the MRGCD network.

8.1 Middle Rio Grande Conservancy District

MRGCD weather station network presently consists of approximately 17 sites. The initialToolbox depended on data from the New Mexico State Climatology Center (NMSCC), andvarious NWS stations. Beginning in 1999, the MRGCD constructed a number of climate stationson agricultural lands specifically to provide data to the Toolbox. Data from these stationsincluded temperature, precipitation, relative humidity, solar radiation, and wind speed. Dataare supplied as an hourly mean, min, max, or total, as appropriate, as well as correspondingdaily values.

Maintaining reliable input of weather station data from a variety of sources has proven tobe one of the largest challenges for the Toolbox. At one time or another difficulties have beenencountered getting data, or with the quality of the data, from virtually all sources. Physicalmaintenance of the stations has been a problem. MRGCD in particular has found it difficult

8 AUTOMATED WEATHER STATION DATA 26

to keep stations operating. With potentially as many as 20 sites, no more than 17 have everbeen in operation at one time. Telemetry problems, vandalism and animal damage, landownerissues, and normal deterioration of sensors are common. At present, only about six of theMRGCD stations are producing data. In lieu of non-operational MRGCD weather stations, theToolbox activates the forecast weather data from the NDFD as described later in this section.It’s anticipated the difficulties with weather data will soon be resolved.

Meanwhile, the Toolbox continues receipt of available hourly data automatically from thisnetwork via File Transfer Protocol (FTP) at 37 minutes past each hour. Available daily dataare usually acquired at around 2:00 AM.

When viewing the following images note that if data sets are missing which occurs when astation is in-operative, yesterday’s forecast data are substituded. There are two methods to seethe data:

1. Clicking on MRGCD Weather Station Data from the Home Page (figure 2 provides alisting of the available stations. Stations with 60 in the name contain hourly data. Stationswirh a 24 in the name contain daily data.

2. Clicking on the station name or a yellow plus (+) sign on the sub-window images (figure 6W or figure 10 W) provides daily weather data with the + signs or site ID.

(figure 7 W). This is also an example of the MRGCD Angostura station. The plus (+) signslocate the stations by latitude and longitude.

The table contains the the station name, source, elevation, and latitude/longitude location.Data for the past seven days is shown in the upper part of the table consisting of maximum

and minimum temperatures, average wind speed, relative humidity, rain, effective rain, and solarradiation as measured by the station’s sensors. The rain gage monthly totals since the beginningof the year are also tabulated. The bottom part of the table contains all of the data for each daysince January 1st with the latest day first. Included in this listing is the calculated Hargreaves-Samani Reference ET. Refer to Hargreaves-Samani Reference ET Calculation (section 12) formore information.

When station data are unavailable for a day or any parameter is out of normal range,substituded weather data from the NDFD weather forecast model from the previous day areused. Refer to Weather Forecasting (section 9) for more information. The site ID’s are shownif daily station rainfall is not available.

The MRGCD weather stations are (from north to south), with the forecast 5-km cell substi-tution: The stations in the table with an * are inactive or have no data for an extended periodof time.

8 AUTOMATED WEATHER STATION DATA 27

Site Name ID Forecast 5-km—————- —- ————-Daniel Arquero Farm DAR24 for5.172.099Cisto Quintana Farm * CQF24 for5.171.097Angostura ANG24 for5.168.094Corrales Bosque CSB24 for5.167.092Candelaria Farms CFM24 for5.165.089Bosque Bar * BBA24 for5.165.087Prices Dairy Farm PDF24 for5.165.086Bosque Wastewater BWW24 for5.164.082Toni Barrow Farm TBF24 for5.162.080Jarales * JRL24 for5.162.078Adolf Sanchez Farm * ASF24 for5.162.076Ladd S Gordon Farm LSG24 for5.161.074San Acacia * IHF24 for5.159.070Lemitar Nature Ctr. * LNC24 for5.159.068Gus Wagner Farm * GWF24 for5.159.066Luis Lopez * LLZ24 for5.159.063North Bosque * BAN24 for5.159.061

More information about the MRGCD can be found at: https://www.mrgcd.com/ (MiddleRio Grande Conservancy District)

8.2 New Mexico State Climate Center

In addition to the MRGCD network, previous day’s meteorological data are also obtained viaWget from: https://weather.nmsu.edu/ New Mexico State Climate Center (NMSCC) at NewMexico State University.

The NMSCC has gone through cycles as well. Station locations have changed, sensor mount-ings have been modified, programming revised, and data feeds interrupted. Many of the NWSsites are not well suited for agricultural ET calculations. For example, the official NWS Al-buquerque station is affixed to the side of a concrete parking structure, surrounded for greatdistances on all sides by paving and buildings.

The NMSCC stations are currently unavailable real-time. Therefor the following informationdoes not apply.

The 24-hr data are received at 5:40, 8:40, and 11:40 AM MST to get missing data. Onlythree sites, Alcalde, South Bosque, and North Elephant Butte Lake, if they were active, areused for ET estimation. Meanwhile, substituted NDFD forecast data are used. The Los Lunasstation may be used as it is an alternate site for some MRGCD stations (see above MRGCDlisting). The same criteria as detailed above for the MRGCD apply to the NMSCC weatherdata, except these are shown in green on all of the images. Also, only the South Bosque station,if it were active, has hourly data (these hourlys could potentially be used for Elephant ButteReservoir evaporation estimates). The same table details, and rules for alternate weather data,apply as described above in section 8.1 for MRGCD data.

8 AUTOMATED WEATHER STATION DATA 28

The NMSCC network weather stations are (from north to south), with the forecast 5-km cellsubstitution: The stations in the table with an * are inactive or have no data for an extendedperiod of time.

Site Name ID Ownership Forecast 5-km—————————————– —- ——— ————-Alcalde Agricultural Science Center * alca NMSCC for5.178.109Los Lunas Agricultural Science Center * losl NMSCC for5.163.081South Bosque * sbos NMSCC for5.158.059North Elephant Butte Lake * elfb NMSCC for5.152.046South Elephant Butte Lake * lake NMSCC for5.150.046Derry Station * derr NMSCC for5.149.038NMSU Turfgrass * nmsu NMSCC for5.158.026Las Cruces National Weather Service * lasa NWS for5.158.026NMSU Main Campus * lass NMSCC for5.158.026Leyendecker Plant Science Research Ctr * lasl NMSCC for5.158.024

Other NMSCC stations outside of the Rio Grande basin may show on some of the images.

8.3 Colorado State University Agricultural and Meteorological Net-work

Colorado State University Agricultural and Meteorological Network (COAGMET) data are re-ceived via FTP at 5:04 AM MST. The 24-hour precipitation accumulations from these stations(or site IDs if data are missing) are shown in blue, preceded by a + sign, on the Upper RioGrande image accessed from the Home Page (figure 2 (W). Clicking on Upper Rio Grandeprovides a menu with access to a map containing both NEXRAD precipitation and the COAG-MET weather data (W). Data from the COAGMET meteorological stations are not used forthe calculation of ET at this time. Expansion of the ET Toolbox into this area may occur inthe future.

COAGMET sites (from north to south) are:

Site Name ID Site Description———— —– —————————Center, CO CTR22 Cors Research FarmCenter, CO CTR11 CSU San Luis Valley Expt. StationBlanca, CO BLA01 8 mi SW of BlancaLa Jara, CO LJR01 2 mi S of La JaraSan Acacio, CO SAN01i 2 mi N of Mesita

8.4 Other Adjacent Areas With Weather Station Data

The Pecos River Basin Awards System images contain pop-up weather data from NMSCCsources. This area can be accessed from the Home Page (figure 2 (W). Clicking on Pecos River

8 AUTOMATED WEATHER STATION DATA 29

provides a menu with access to a map containing both NEXRAD precipitation and NMSCCweather data. (W).

The NMSCC stations are currently unavailable real-time. Therefor the following informationdoes not apply.

The 24-hour precipitation accumulations stations (or site IDs if data are missing) are shownin green, preceded by a + sign. Data from the NMSCC meteorological stations in the PecosRiver Basin are not used for the calculation of ET at this time. Expansion of the ET Toolboxinto this area may occur in the future.

9 WEATHER FORECASTING 30

9 Weather Forecasting

Example Weather Forecast Map.

9.1 National Digital Forecast Database (NDFD)

The NDFD weather forecast parameters at an approximate 5-km grid resolution are used forthe AWARDS and ET Toolbox ET forecasts for today and the next six days. See this WEBsite for detailed information about the NDFD, where X should be an underscore:

http://www.weather.gov/mdl/ndfdXhome/The NDFD data of the Southern Rocky Mountain subset are collected at 5:30 PM each day

via World Wide Web get (Wget). These data include maximum and minimum temperatures,relative humidity, wind speed, precipitation, and sky cover. The forecast period is seven days.For example, the data acquired at 5:30 PM MST on March 7 (0030 UTC March 8) containsforecasts for March 8 through 14. An exception is the precipitation which is for three days(March 8 through 10). The projection frequency of each data element is described in the table(Data Directory Structure) within the above WEB site after clicking on ”NDFD Grid DataAccess”. These forecast data are assigned to nearby weather stations.

Here is an example of the 5-km NDFD grid (NDFD cell) for reach 2 (figure 19). The x,ynumbering system (in red) is used to identify the approximate 5-km grid cells. Each weatherstation is cross referenced to a NDFD cell. The Angostura (ANG24) weather station is assignedto NDFD cell 168,94 and the Corrales Bosque (CSB24) station is assigned to cell 167,92. All

9 WEATHER FORECASTING 31

weather and ET forecasting for the stations, and forecast from the previous day if the stationdata are unavailable for today, are provided by the data from the assigned NDFD cells.

Note that there are no solar radiation data. Therefore solar radiation was calculated through2010 with an algorithm developed from procedures described in FAO-56 (FAO) and The As-tronomical Almanac (1998), using extraterrestrial radiation, clear sky radiation, maximum andminimum temperatures, and applicable coefficients. Starting in 2012, the solar radiation is cal-culated using sky cover and clear sky radiation using the algorithm from ”Forecasting SolarRadiation” paper. Search for Forecasting Solar Radiation, and click on the pdf link ”FORE-CASTING SOLAR RADIATION” by R. Perez for more information.

9.2 National Centers for Environmental Prediction (NCEP)

The forecast rain for days 4-7 (March 11 through March 14 in this example) are QuantitativePrecipitation Forecasts from the Environmental Prediction Global Forecasting System model.The NCEP data are collected at 5:03 AM each day via World Wide Web get (Wget), with a res-olution of 1 degree by 1 degree (110km north-south by 90km east-west). This equates to abouta 20-km resolution. Like the NDFD data, these data are also assigned to nearby weather sta-tions. See this WEB site for detailed information about the NCEP: http://www.ncep.noaa.gov/(National Centers for Environmental Prediction).

10 NEXRAD PRECIPITATION ESTIMATES 32

10 NEXRAD Precipitation Estimates

Radar-based precipitation estimates are used in the AWARDS/ET Toolbox to offset ET de-mands. Accurate quantitative precipitation estimates (QPE) are obtained from The NationalCenters for Environmental Prediction (NCEP), an agency within NOAA. This next generationQPE is called Multi-Radar Multi-Sensor (MRMS) which is the most current product used inthe AWARDS/ET Toolbox. (Prior to March, 2015 these data were obtained from the Na-tional Severe Storms labortatory - NSSL). It continues the NSSL departure from radar-centricprecipitation estimation and moves toward a multi-sensor approach focused on high-resolutionintegration of radar, satellite, model, and surface observations to produce very high-resolutionprecipitation estimates. For more information about QPE and MRMS, visit the WEB site forthe NCEP at: http://www.ncep.noaa.gov/ (W).

Data files in the GRIB2 (GRIdded Binary version 2) format are obtained from NCEP viaFTP which runs every 10 minutes, checking if the data has arrived, usually getting the data forthe continental US around 1:00 AM. At 4:15 AM these binary files are converted to NetCDF(Network Common Data Format) format and data are extracted for New Mexico and southernColorado. At 4:20 AM the computer converts the data from netcdf to text readable files,extracts only the 24-hour data for the prior day, and plots the 1/100 degree (approximately 1km resolution) precipitation estimates onto the images.

This (figure 20 shows the overlapping radar coverage for NM, TX, and OK, and parts of CO,and AZ. The specific radars used in the Quantitative Precipitation Estimates and SegerationUsing Multiple Sensors (QPESUMS) product for the Middle Rio Grande are:

KABX AlbuquerqueKFDX Cannon AFBKHDX Holloman AFBKEPX El Paso, TX

Rainfall (average depth) for each QPE grid cell located over the agricultural, riparian, andopen water acreage along the Rio Grande is used in the water use calculations. These precipi-tation estimates are represented by a color spectrum placed at the bottom of each ET Toolboxwindow. This is an example of river reach 2. (figure 10 W).

11 EFFECTIVE RAINFALL ESTIMATES 33

11 Effective Rainfall Estimates

By definition, effective rainfall is that portion of rainfall that contributes to meeting the ETrequirement of a crop (ASAE, 1983). Rainfall that neither leaves as surface runoff nor contributesto excess surface drainage may be effective precipitation in the context of irrigation management.

Beginning January 1, 2018, effective rainfall estimates are calculated using a modification tothe Hawkins method. It is documented in Soil Conservation Service publication TR-55 using acurve number approach. For more detail contact Brian Westfall of Keller-Bliesner Engineering,LLC. Here is the fortran code as converted from a spreadsheet analysis done by the above team.figure 21

The results from this method are applied to the ET to reduce consumptive use and arepresented in various forms throughout the Toolbox.

Prior to January 1, 2018 effective precipitation was not applied to ET; it was only postedon the ET charts for reference. This earlier simplified method developed by the Bureau ofReclamation based effective precipitation on increments of monthly rainfall. The relationshipsused are:

Table 1: Effective Rain As A Percent Of Total Rain (r)

Total Rain (in) Effective Rain (%)r < .5 1000.5 ≤ r ≤ 1.0 951.0 < r ≤ 2.0 902.0 < r ≤ 2.0 853.0 < r ≤ 2.0 754.0 < r ≤ 2.0 555.0 < r ≤ 2.0 356.0 < r 5

A comparison table of effective rainfall by both methods is available for each reach: (figure 22W) is an example of reach 2.

12 HARGREAVES-SAMANI REFERENCE ET CALCULATION 34

12 Hargreaves-Samani Reference ET Calculation

The Toolbox initially utilized a Modified-Penman Equation, along with many crop and ripariancoefficients provided by New Mexico State University (Bawazir and Sammis). This Penmancalculation was referenced to grass (Eto), in inches. This required daily weather data inputsconsisting of maximum and minimum temperatures, relative humidity, solar radiation, and wind.

In early 2012 the Eto calculation was modified to the ASCE Standardized method.Approximately mid-year 2012, the Eto calculation was again modified to use the 1985

Hargreaves-Samani method. Hargreaves is a simple temperature-based equation written in For-tran. (figure 23) All ET values are now based on this method, and all of 2012 was recalculatedback to January 1, 2012.

Lack of quality data for wind, solar radiation, and humidity forced this decision. Whenreliable data are again available, the Toolbox may resume use of the ASCE Standardized methodfor Eto calculation. The Eto calculation is in inches.

The Eto calculation should be performed with actual climate data. However in recent years,due to problems with climate stations, the Toolbox has increasingly relied on NDFD data. Whilethis is not the preferred approach, comparisons of forecast data and actual climate data haveshown good agreement. Eto is forecast 7 days out but since forecast data is replaced daily, whenit is used for Eto calculation in place of climate station data, the forecast is only one day inadvance.

Calculations of Reference ET by other methods, for comparison purposes only, are also donewith the results stored in internal files. These methods are:

1. Penman-Monteith Combination2. 1982 Kimberly-Penman as used in Reclamation’s Agrimet Program3. Modified-Penman4. Modified-Penman referenced to grass, an earlier version (Sammis et al. (1985))5. American Society of Civil Engineer’s (ASCE) Standardized Method based on the ASCE

Penman-Monteith Equation, both grass and alfalfa reference

12 HARGREAVES-SAMANI REFERENCE ET CALCULATION 35

ET

13 AWARDS/ET TOOLBOX CALCULATIONS 36

13 AWARDS/ET Toolbox Calculations

13.1 Daily ET

Calculation of daily ET, as applied in the AWARDS system, and Daily Consumptive Use (DCU),as applied in the ET Toolbox, is initially based upon derivation of the Reference ET (Eto) andvegetative or open water coefficient (KC).

As a general rule, no ET is calculated (it is set to zero) before the start date or after thestop date.

A vegetation or open water coefficient (KC) is applied to the Eto to determine the daily ETin inches using the formula:

Daily ET = (KC) (Daily Eto)

where Daily Eto is the Reference ET as calculated by the Hargreaves equation. Refer toHargreaves-Samani Reference ET Calculation (section 12).

13.2 Coefficient (KC)

13.2.1 Coefficient (KC) based on Development Stage - No Longer Used

Prior to January 1, 2012 ET estimates were based on coefficients determined from the GrowingDegree Days method.

On June 27, 2012 a new methodology was implemented for determining all crops and riparianvegetation coefficients. All ET estimates were re-calculated back to January 1, 2012. Thesecoefficients are modified from the FAO-56 manual by researchers in the Middle Rio Grande, andwere based on development stage. The start and end dates varied based on temperature at thelocal weather station, and therefore varied from north to south, with the northern areas startinglater then the southern areas. This method was used in years 2012-2017.

13.2.2 Coefficient (KC) based on Day-of-Year - Crops and Riparian

Beginning January 1, 2018 new coefficients provided by the URGWOM Technical Team areused. Three sets of coefficients are on seperate sheets within this spreadsheet:

https://www.usbr.gov/uc/albuq/water/ETtoolbox/rg/doc/URGWOMCropKcFixedValues.xlsx(URGWOM Crop Coefficients).This spreadsheet shows an example of the curves:https://www.usbr.gov/uc/albuq/water/ETtoolbox/rg/doc/URGWOMCropCurves.xlsx(URGWOM Crop Curves).This figure shows the curves:(figure 25)This table shows the name of the three areas and corresponding latitudes used in the Toolbox:

13 AWARDS/ET TOOLBOX CALCULATIONS 37

Corrales Bernalillo greater than 35.089Los Lunas less than or equal 35.089 and greater than 34.410Socorro less than or equal 34.410

Each set contains coefficients for 20 crops and are date dependent. Crops in the Socorro areabegin earlier than those in the Corrales Bernalillo area. ET begins when a coefficient becomesgreater than zero, and ends when the coefficientscient returns to zero.

13.2.3 Coefficient (KC) based on Month - Open Water

On June 27, 2012 a new methodology was implemented for determining open water evaporationcoefficients, and all open water evaporation estimates were re-calculated back to January 1,2012. (Prior to January 1, 2012 open water evaporation was based upon a study performedbetween Parker Dam and Imperial Dam on the Lower Colorado River.) The following graphshows the blue line coefficient curve. The calculated Hargreaves Reference ET, as determinedfor each day from the 2011 North Bosque weather station, is shown by the red line. The OpenWater evaporation is product of the Reference ET and the coefficient. These are shown bythe green line. These coefficients are based on work done at New Mexico’s Sandia NationalLaboratories at Cochiti and Elephant Butte Reservoirs. The Toolbox uses monthly averages ofthe two reservoirs. This newer method resulted in a yearly increase of about 60% over the priorLower Colorado River study, addressing concerns that open water evaporation historically hadbeen substantially under estimated by the ET Toolbox. This graph represents 2011 weatherconditions at the North Bosque station and will vary from year-to-year and station-to-station.(figure 24) Refer to Open Water Evaporation Estimates (section 15).

The KC is interpolated from the curve represented in the graph. For example, a coefficientfor open water would be 1.18 on July 15

13.3 Vegetative and Open Water Daily Consumptive Use (DCU) -ET Toolbox Only

Computer processes were developed to collect all of the required data sets and calculate theDaily Consumptive Use (DCU) in acre feet for each vegetative type (or open water) within each1-km grid cell using:

V egetative type DCU = (Daily ET )(Acres)/12

where Acres is the vegetative or open water acreage of the grid cell. Refer to GIS LandClassification (section 14).

13.4 Total Grid Cell DCU - ET Toolbox Only

All of the acre feet values are summed to arrive at an estimated consumptive use for eachgrid cell. The NEXRAD estimated daily accumulated effective rainfall (in acre feet) is then

13 AWARDS/ET TOOLBOX CALCULATIONS 38

subtracted.

Total Grid Cell DCU = Sum of V egetative type DCU ′s− EffectiveRainfall

13.5 River Reach DCU - ET Toolbox Only

All of the grid cell totals are summed for each river reach and diversion.

River Reach DCU = Sum of Total Grid Cell DCU values within the river reach.

13.6 DCU Values in Cubic Feet Per Second - ET Toolbox Only

The DCU values in acre feet per day are also converted to flow in cubic feet per second (cfs) foruse by water managers and in the URGWOM, where:

cfs = acre feet/1.98347

Toolbox.

14 GIS LAND CLASSIFICATION 39

14 GIS Land Classification

River front near the Bosque riparian research site.

14.1 Reaches 1-8

Prior to June 8, 2004 the Middle Rio Grande Land Use Trend Analysis (LUTA) GeographicInformation System (GIS) data base for 1992/93 was used in the AWARDS/ET Toolbox system.After that date, a combination of the July 2000 IKONOS satellite imagery at 4 meter spectralresolution land use data set and the year 2001 Utah State University (USU) aerial photographyat .5 meter resolution was used.

The IKONOS was acquired from the MRGCD and the New Mexico Interstate Stream Com-mission. The IKONOS is used from Cochiti Dam to Elephant Butte Reservoir headwaters(Reaches 1-8). The USU exists in a small part of Reach 3, Reaches 4, 5, 6, 7, and part of Reach8. Wherever the USU exists, the IKONOS was erased and the USU was inserted. The USU hasa less east-west extent than the IKONOS, basically following just the river corridor. Also, theUSU coverage is mostly riparian, whereas the IKONOS is both agricultural and riparian.

Beginning with year 2012, the agricultural vegetation classification component was obtainedfrom the MRGCD crop reporting process via ARCGIS shape files. These classifications are fromthe prior year - the 2012 irrigation season used the 2011 crop reporting etc. (An exception wasyear 2014 when the 2012 data were used.) Wherever the crop reporting exists, the IKONOS orUSU is erased and the crop reporting is inserted. Since GIS land use classifications are criticalfor the Toolbox, this yearly reporting process improves the agricultural ET estimates.

Generally these are the crops that are reported:

1. Alfalfa 2. Pasture3. Oats-Barley 4. Corn5. Trees-Fruit 6. Trees-Nursery7. Vegetables, Row Crops, Garden 8. Yard

14 GIS LAND CLASSIFICATION 40

Riparian classifications continue from the IKONOS and USU GIS as described above.Regardless of the origin, GIS are transposed to the nominal 1 km QPE grid cell resolution

for use in the ET Toolbox with the NEXRAD-based 24-hr rainfall estimates. An importantcomponent of the ET Toolbox is determination of the vegetative growth acreage of agriculturalcrops, riparian vegetation, and open water in each of the 1 km QPE grid cells. These data arethen applied to the empirically derived ET to produce a daily volumetric water requirement foreach QPE cell. Refer to ET Toolbox Calculations (section 13).

Additional year 2002 riparian GIS efforts by the Endangered Species (ES) CollaborativeProgram are now available. Comparisons of the LUTA, IKONOS, USU, and ES have beenmade and are available from the AWARDS/ET Toolbox staff.

There is a need to develop a methodology for updating the GIS riparian vegetation and openwater indexing data to detect changes and update the ET Toolbox at least once during eachannual growing season. The constraints are that the technology used must by cost permissive,timely, and sufficiently accurate (e.g. 90%) for use in water resources management.

14.2 Rio Chama/Velarde

The Rio Chama/Velarde area is north of the IKONOS and USU coverage. The MRGCD providedGIS acreage information of the agricultural lands which are shown as white polygons in thisimage, which were resolved to the 1 km QPE cells (figure 26 W). The MRGCD also provided aquick estimate of the agricultural acreage that is applied to the total acreage of each cell:

Crop Percent————- –Alfalfa 30Orchard 30Pasture Grass 40

There are approximately 1460 1 km cells within the entire Reach 1-8 area, including the RioChama/Velarde.

15 OPEN WATER EVAPORATION ESTIMATES 41

15 Open Water Evaporation Estimates

The evaporation from open water and wet sands contributes significantly to the water depletionin the Middle Rio Grande valley. The Toolbox calculates evaporation based on the Hargreaves-Samani Reference ET using local weather data when available; otherwise forecast weather data.(section 12), Open Water monthly coefficients, (section 13), and the surface area to get theopen water evaporation in acre-feet.

This methodology is applied to Rio Grande Evaporation, Elephant Butte Reservoir Evapo-ration, and Wet Sands Evaporation.

15.1 Rio Grande Evaporation

A 2-dimensional dynamic flood routing model named FLO-2D is used to estimate the dailysurface area of the Rio Grande. Inputs are the real-time flow conditions provided from the USGSstream flow gaging system. Refer to Stream Flow Data (section 16) for information about thegaging system. More information about the FLO-2D model is available at: http://www.flo-2d.com/ (FLO-2D).

15.2 Elephant Butte Reservoir Evaporation

To find the daily reservoir evaporation value, real-time reservoir elevation data are acquiredfrom the USGS. This elevation is then applied against an area-capacity table to get the watersurface acreage of the reservoir.

Access to the Elephant Butte Reservoir evaporation is from the Reach 8 ET Toolbox im-age (figure 27 W). or via the Home Page (figure 2 W) choosing ” Elephant Butte ReservoirEvaporation”.

Clicking on Elephant Butte Reservoir evaporation provides an option menu (figure 28 W).The options available are Last 7 and 7 Forecast Day’s Evaporation (figure 29 W), Daily Evap-oration Rates (figure 30 W), and Plot of Elephant Butte Open Water Evaporation & Acres(year-to-date) (figure 31 W).

An improvement to the above process for determining reservoir evaporation was done in 2001with a plan to use the results of the field research study in the Toolbox. The associated evapora-tion model is described in ”Lake Evaporation Estimation in Arid Environments (Final Report)”,dated July 2003, available at: http://www.iihr.uiowa.edu/wp-content/uploads/2013/06/IIHR430.pdf(University of Iowa) However, this model requires specific hourly weather data at and above thereservoir surface which are currently not available; therefore the model is presently not used inthe Toolbox.

15 OPEN WATER EVAPORATION ESTIMATES 42

15.3 Wet Sands Evaporation

Currently, the determination of area of wet sands within the Rio Grande corridor is the differencebetween the bank-to-bank area minus the FLO-2D area. Evaporation is assumed to occur fromthe surface and shallow sub-surface area difference.

16 STREAM FLOW DATA 43

16 Stream Flow Data

Gage Station Products in the Angostura Dam Area.

As an enhancement to the ET Toolbox, users at the Middle Rio Grande Conservancy Districtand USBR requested near real-time graphs and text of stream flow conditions throughout thevalley. This allows direct comparison of consumptive use estimates and stream flow, consideringan approximate five day lag for water released at Cochiti Dam to arrive at the San Marcial gage.District personnel developed schematics of the diversions and return flows. All data sets, fromthe MRGCD, USGS, USACE, USFWS, and UNM are automatically received into the Toolboxby various means at two minutes and at 30 minutes past each hour.

The gage naming criteria differ between the MRGCD, USGS, USACE, USFWS, and UNMmanaged stations. The following sub sections define these criteria, and include tables of thestations. Some tables may require use of the reader’s zoom feature.

16.1 MRGCD Stream Flow Data

The MRGCD managed gage stations and USBR pumping station data sets are transmitteddirectly to the district office via radio telemetry just prior to the top of the hour and just priorto 30 minutes past each hour, and then automatically received into the ET Toolbox from theMRGCD office via FTP.

The MRGCD uses the Standard Hydrometeorological Exchange Format (SHEF) convention,with a three character gage name followed by DV (diversion), CN (canal), DR (drain), and WW(waste way). An example MRGCD gage is CORCN (Corrales Main Canal). There are alsoother miscellaneous 2-character codes.

Some data are missing because they were not provided by the district or the gages are notyet installed. The parameter (P) codes that are reported are:

16 STREAM FLOW DATA 44

QR = Discharge in cfsHG = Height or stage in feetLS = Reservoir storage in acre-feetWQ = Water quality

The HP code is sometimes used by MRGCD for height or stage.A dash (-) as the 1st parameter defaults to QR, and a dash (-) as the 2nd parameter defaults

to HG.The following table contains all of the gage data retrieved from all sources, except the water

quality from University of New Mexico as requested by the USACE.

16 STREAM FLOW DATA 45

ID P1 P2 Name Description—– – – —————————– ————————————————————————240CN QR HP 240 FEEDER CANAL SUPPLY TO 240 FEEDER FROM BELEN HIGH LINE CANAL240WW QR HP 240 FEEDER WASTEWAY RETURN FLOW FROM BELEN HIGH LINE/ISLETA DRAIN TO RIO GRANDE

AT ISLETA PUEBLO65001 - - 650 FEEDER GATE#1 FLOW FROM ATRISCO FEEDER TO ATRISCO FEEDER AT 650 FEEDER

CANAL65002 - - 650 FEEDER GATE#2 FLOW FROM ATRISCO FEEDER TO ALBUQUERQUE MAIN CANAL AT 650

FEEDER CANAL9MILE QR -ABQ10 QR HP ALBUQUERQUE MAIN CHECK #10 FLOW IN ALBUQUERQUE MAIN CANAL BELOW CHAMISAL LATERALACHCN - -ALACN - - ALAMEDA LATERAL HEADING SUPPLY TO ALAMEDA LATERAL FROM ALBUQUERQUE MAIN CANALALAWQ WQ WQ RIO GRANDE AT ALAMEDA BRIDGE WATER QUALITYALBCN QR HG ALBUQUERQUE MAIN CANAL SUPPLY AT HEADING OF ALBUQUERQUE MAIN CANALALBDR QR HG ALBUQUERQUE DRAIN FLOW IN ALBUQUERQUE DRAIN AT TINGLEY BEACHALGCN QR HP ALGODONES ACEQUIA SUPPLY AT HEADING OF ALGODONES ACEQUIAALGDR QR HG ALGODONES DRAIN DIRECT DRAIN RETURN FROM COCHITI DIVISION TO ALBUQUERQUE

DIVISION CANALSALJWW QR HP ALEJANDRO WASTEWAY RETURN FLOW FROM ISLETA DRAIN TO RIO GRANDE AT ISLETA PUEBLOALOCN - HP ALAMILLO LATERAL HEADING OF ALAMILLO LATERALANGCN QR HG ANGOSTURA LATERAL SUPPLY AT HEADING OF ANGOSTURA LATERALANGDV QR - ANGOSTURA DIVERSION TOTAL MRGCD DIVERSION FROM RIO GRANDE AT ANGOSTURA WEIRARE04 QR HP ARENAL MAIN CANAL CHECK #4 FLOW IN ARENAL MAIN CANAL BELOW PAJARITO LATERALARE05 QR HP ARENAL MAIN CANAL CHECK #5 FLOW IN ARENAL MAIN CANAL BELOW GUN CLUB LATERALARE08 QR HP ARENAL MAIN CANAL CHECK #8 FLOW IN ARENAL MAIN CANAL BELOW METZGER ROADARECN QR HG ARENAL MAIN CANAL HEADING SUPPLY TO ARENAL MAIN CANAL FROM ATRISCO SIPHONARMCN QR HG ARMIJO LATERAL HEADING SUPPLY TO ARMIJO LATERAL FROM ATRISCO SIPHONARMWW - - ARMIJO WASTEWAY RETURN FLOW FROM ARMIJO LATERAL TO ATRISCO DRAIN (TO SUPPLY

LOS PADILLAS HEADING)ARS02 QR HP ALBUQUERQUE DRAIN CHECK #2 FLOW IN ALBUQUERQUE DRAIN BELOW BARR MAINARSDR QR HG ALBUQUERQUE DRAIN OUTFALL RETURN FLOW FROM ALBUQUERQUE DRAIN TO RIO GRANDE AT ISLETA

LAKESARYCN - -ATDCN QR HG ATRISCO ACEQUIA SUPPLY TO ATRISCO ACEQUIA FROM ATRISCO SIPHONATFCN QR HG ATRISCO FEEDER CANAL SUPPLY TO ATRISCO FEEDER CANAL FOR SOUTH VALLEY/ISLETA WEST

SIDEATFWW - - ATRISCO FEEDER WASTEWAY RETURN FLOW TO ATRISCO FEEDER FROM ALBUQUERQUE MAIN CANAL

AT STATION 912ATRDR QR HG ATRISCO DRAIN OUTFALL RETURN FLOW FROM ATRISCO DRAIN TO RIO GRANDE AT ISLETA

LAKESATSCN QR - ATRISCO SIPHON SUPPLY TO SOUTH VALLEY FROM ATRISCO FEEDERAUGCN QR HP AUGUSTINE LATERAL SUPPLY TO AUGUSTINE LATERALBACCN - - BACA LATERAL SUPPLY TO BACA LATERALBACWW - - BACA WASTEWAY RETURN FLOW FROM BACA LATERAL TO COCHITI MAINBARCN QR HP BARR MAIN HEADING SUPPLY TO BARR MAIN FROM ALBUQUERQUE DRAINBELCN QR HP BELEN HIGH LINE CANAL HEADING DIVERSION TO WEST SIDE OF BELEN DIVISION FROM RIO GRANDE AT

ISLETA WEIRBELDR QR HG BELEN DRAIN RETURN FLOW FROM BELEN DRAIN TO RIO GRANDEBERCN QR HG BERNALILLO ACEQUIA HEADING SUPPLY TO BERNALILLO ACEQUIA FROM PUMPING STATIONBESDV - - BELEN EAST SIDE DIVERSION DIVERSION TO EAST SIDE OF BELEN DIVISION FROM RIO GRANDE AT

ISLETA WEIRBHL02 QR HG BELEN HIGH LINE CANAL BELOW

TEBO FEEDERBHLCN QR HP BELEN HIGH LINE CANAL BELOW

240 FEEDERBRNWW QR HG BROWN ARROYO WASTEWAY RETURN FLOW FROM LUIS LOPEZ DITCH TO RIO GRANDE VIA BROWN

ARROYOBSMCN - -BSQDR - -BUTCN QR HG BUTTE LATERAL AT ISLETA PUEBLO FLOW IN BUTTE LATERAL AT N BOUNDARY OF ISLETA PUEBLO

16 STREAM FLOW DATA 46

ID P1 P2 Name Description—– – – —————————– ————————————————————————CACCN - -CENWW QR HP CENTRAL AVENUE WASTEWAY RETURN FLOW FROM ATRISCO FEEDER TO RIO GRANDE ABOVE

CENTRAL AVENUECFR01 - - CORRALES FEEDER HEADING SUPPLY TO CORRALES FEEDER FROM ALBUQUERQUE MAIN CANALCFR02 - - CORRALES FEEDER CHECK #2 FLOW IN CORRALES FEEDER THROUGH CHECK #2CHACN - -CHI07 - -CHICN - -CHMCN QR HG CHAMISAL LATERAL SUPPLY TO CHAMISAL LATERAL FROM ALBUQUERQUE MAIN CANALCOC01 QR HP COCHITI MAIN CANAL CHECK #1 FLOW AND POOL HEIGHT AT 1 ST CHECK ON COCHITI MAIN CANALCOC02 QR HP COCHITI MAIN CANAL CHECK #2 FLOW AND POOL HEIGHT AT 2 ND CHECK ON COCHITI MAIN CANALCOC03 QR HP COCHITI MAIN CANAL CHECK #3 FLOW AND POOL HEIGHT AT 3 RD CHECK ON COCHITI MAIN CANALCOC04 QR HP COCHITI MAIN CANAL CHECK #4 FLOW IN COCHITI MAIN BELOW BACA LATERAL HEADINGCOC06 QR HP COCHITI MAIN CANAL CHECK #6 FLOW AND POOL HEIGHT AT 6 TH CHECK ON COCHITI MAIN CANALCOC08 QR HP COCHITI MAIN CANAL CHECK #8 FLOW IN COCHITI MAIN ENTERING SANTO DOMIGOCOC09 QR HP COCHITI MAIN CANAL CHECK #9 FLOW IN COCHITI MAIN BELOW AUGUSTINE LATERAL HEADINGCOCCN QR HG COCHITI MAIN CANAL HEADING SUPPLY TO COCHITI MAIN CANALCOCDV QR - COCHITI DIVERSION TOTAL MRGCD DIVERSION FROM RIO GRANDE BELOW COCHITI RESERVOIRCOCWQ WQ WQ RIO GRANDE BELOW COCHITI DAM WATER QUALITYCORCN QR HG CORRALES MAIN CANAL FLOW IN CORRALES MAIN CANAL AT WEST END OF SIPHONCORWW QR HG CORRALES WASTEWAY RETURN FLOW FROM CORRALES MAIN CANAL TO RIO GRANDE AT

LA ORILLA (END OF CORRALES MAIN)COSCN QR HGDURCN QR HG DURANES ACEQUIA HEADING SUPPLY TO CHAMISAL LATERAL FROM GRIEGOS LATERALELMDR QR HG ELMENDORF DRAIN AT BDA DELIVERY TO BOSQUE DEL APACHE FROM ELMENDORF DRAINESCWW QR -FCRPS QR HG FORT CRAIG PUMP STATION PUMPED FLOW FROM LFCC TO RIO GRANDE FOR RGSMFD302 - -FD3GT - -FD3WW QR HG FEEDER 3 WASTEWAY RETURN FLOW FROM BELEN HIGH LINE TO RIO GRANDE NORTH OF HWY

346 BRIDGEFLACN - - FLORIDA LATERAL HEADING OF FLORIDA LATERALGABCN - - GABALDON LATERAL HEADING SUPPLY TO GABALDON LATERAL AT HEADINGGARCN - -GR1CN QR HP GRANT #1 LATERAL SUPPLY TO HEADING OF BELEN GRANT #1GRGGT QR HP GRIEGOS LATERAL HEADING SUPPLY TO GRIEGOS LATERAL FROM ALBUQUERQUE MAIN CANALGUNCN QR HP GUN CLUB LATERAL HEADING SUPPLY TO GUN CLUB LATERAL FROM ARENAL MAIN CANALHAYWW QR HG HAYNES WASTEWAY RETURN FLOW FROM CORRALES MAIN CANAL TO RIO GRANDE AT

CALABACILLAS ARROYOHELCN - -HELWW - -INDCN QR HG INDIAN LATERAL FLOW IN INDIAN LATERAL AT N BOUNDARY OF ISLETA PUEBLOISCAT - - ATRISCO HABITAT WATER SURFACE ELEVATION, INLET GAGE POSITION, CONTROL STATUS,

CONTROL POWERISLDR QR HG ISLETA DRAIN OUTFALL RETURN FLOW FROM SOUTH VALLEY TO BELEN DIVISION OR RIO GRANDEISLDV QR - ISLETA DIVERSION TOTAL MRGCD DIVERSION FROM RIO GRANDE AT ISLETA WEIRISLWQ WQ WQ ISLETA DAM WATER QUALITYJARCN QR HP JARAL LATERAL HEADING OF JARAL LATERALJRLCN - -

16 STREAM FLOW DATA 47

ID P1 P2 Name Description—– – – —————————– ————————————————————————LCRDR QR HG LOWER CORRALES DRAIN RETURN FLOW FROM LOWER CORRALES DRAIN/SUMMERFORD LATERAL TO

RIO GRANDE BELOW MONTANO BRIDGELCZCN - -LCZWW QR HG LOS CHAVEZ WASTEWAY RETURN FLOW TO RIO GRANDE FROM UPPER BELEN DRAINLEM02 - - LEMITAR RETURN RETURN FLOW FROM LEMITAR LATERAL TO SOCORRO MAIN CANAL NORTHLEMCK - - LEMITAR CHECK (LFCC) FLOW FROM LFCC TO MRGCD FOR USE BY SOCORRO MAINLEMCN QR HP LEMITAR LATERAL HEADING OF LEMITAR LATERALLEMDV QR -LEMWW QR HP LEMITAR WASTEWAY RETURN FLOW FROM SOCORRO MAIN NORTH INTO LFCCLJYCN QR HG LA JOYA ACEQUIA SUPPLY TO LA JOYA ACEQUIA ASSOCIATION (NON-MRGCD)LLSCN - -LLZCN QR HP LUIS LOPEZ LATERAL HEADING OF LUIS LOPEZ LATERALLMWCN QR HP LEMITAR WASTE LATERAL FLOW IN INDIAN LATERAL AT N BOUNDARY OF ISLETA PUEBLOLNTCN QR HG LAS NUTRIAS LATERAL SUPPLY TO LAS NUTRIAS LATERALLOBC2 QR HG RIO GRANDE NEAR LOBATAS, COLP1DR QR HP LOWER PERALTA DRAIN OUTFALL #RETURN FLOW FROM UPPER PERALTA DRAIN TO RIO GRANDE AT

BELEN BRIDGELP2DR QR HP LOWER PERALTA DRAIN OUTFALL #RETURN FLOW FROM UPPER PERALTA DRAIN TO RIO GRANDE SOUTH OF

BELEN BRIDGELSJDR QR HG LOWER SAN JUAN DRAIN OUTFALL RETURN FLOW FROM LOWER SAN JUAN DRAIN TO RIO GRANDE SOUTH OF

HWY 60 BRIDGEMOSCN - - MOSLEY LATERAL HEADING OF MOSLEY LATERALMRGCD QR - MRGCD DEMAND AT COCHITI TOTAL MRGCD ”’DEMAND”, VALUE CALCULATED TO MEET ALL

AGRICULTURAL DIVERSIONS AND RIVER CARRIAGE LOSSES BETWEENCOCHITI AND SAN ACACIA

MTOGT QR HP MONTANO WASTEWAY RETURN FLOW FROM GRIEGOS LATERAL TO ATRISCO FEEDERNBA04 - - BELEN CHECK #4NBA10 QR HG NEW BELEN DROP FLOW TO DROP STRUCTURE AT END OF NEW BELEN ACEQUIANBACN - - NEW BELEN ACEQUIA SUPPLY TO NEW BELEN ACEQUIA AT HEADINGNBAWW - -NBLWW - - NEW BELEN WASTEWAY RETURN FLOW FOM NEW BELEN ACEQUIA TO RIO GRANDE SOUTH OF BNSF

BRIDGENBYPS QR HG NORTH BOUNDARY PUMP STATION PUMPED FLOW FROM LFCC TO RIO GRANDE FOR RGSMNCPCK - - NEIL CUPP CHECK (LFCC) FLOW FROM LFCC TO MRCGD SOCORRO MAINNCPDV QR -NCPPS QR HG NEIL CUPP PUMP STATION PUMPED FLOW FROM LFCC TO RIO GRANDE FOR RGSMNM111 QR - LANGEMANN OUTFLOWNM122 QR - LOW FLOW SOUTH INFLOWNM133 QR - RIVERSIDE CANALNM144 QR - SOCORRO TAILWATER INFLOWNM155 QR - SOUTHERN WETLANDS OUTFLOWOJSCN QR HG OLD JARALES HEADING HEADING OF OLD JARALES DITCH AT FLUMEOTO21 - -OTOCN - -PAJCN QR HP PAJARITO LATERAL HEADING SUPPLY TO PAJARITO LATERAL FROM ARENAL MAIN CANALPAJWW QR HP PAJARITO WASTWAY RETURN FLOW FROM PAJARITO/ARMIJO LATERALS TO ATRISCO DRAIN

(TO SUPPLY LOS PADIILLAS HEADING)PERCN - -PERWW QR HG PERALTA WASTEWAY RETURN FLOW FROM PERALTA MAIN CANAL TO RIO GRANDE NORTH OF

BELEN BRIDGEPMC04 - -PMC08 QR HP PERALTA MAIN CANAL CHECK #8 FLOW IN PERALTA MAIN CANAL BELOW VALENCIA HEADINGPMC11 QR HP PERALTA MAIN CANAL CHECK #11 FLOW IN PERALTA MAIN CANAL BELOW MOYA HEADINGPMC13 - -PMC21 - -POLCN QR HP POLVADERA LATERAL HEADING OF POLVADERA LATERALPRDCN - -

16 STREAM FLOW DATA 48

ID P1 P2 Name Description—– – – —————————– ————————————————————————RGSMF - -SABCN - -SABDR QR HG SABINAL DRAIN OUTFALL RETURN FLOW FROM SABINAL DRAIN TO RIO GRANDE NORTH OF HWY 60SABWQ WQ WQ SABINAL DRAIN OUTFALL WATER QUALITYSADCN QR HG SAN ANTONIO LATERAL AT BDA DELIVERY TO BOSQUE DEL APACHE FROM SAN ANTONIO LATERASADGT QR HP SAN ANTONIO LATERAL HEADING OF SAN ANTONIO LATERALSAFCN QR HG SANTA ANA FEEDER CANAL SUPPLY TO SANTA ANA DITCH HEADING, SAN FELIPE LANDS, SPILL TO

DRAINSANCN QR HP SANDIA ACEQUIA HEADING SUPPLY TO SANDIA ACEQUIA FROM ALBUQUERQUE MAIN CANALSANWW QR HP SANDIA LAKES WASTEWAY RETURN FLOW FROM ATRISCO FEEDER TO RIO GRANDE AT SANDIA LAKESSBYPS QR HG SOUTH BOUNDARY PUMP STATION PUMPED FLOW FROM LFCC TO RIO GRANDE FOR RGSMSCZCN QR HP SANCHEZ FEEDERSFRDR QR HG SAN FRANCISCO DRAIN OUTFALL RETURN FLOW FROM SAN FRANCISCO DRAIN TO RIO GRANDE (VIA RIO

PUERCO) SOUTH OF HWY 60SFWDR QR HG SAN FELIPE WEST DRAIN OUTFALL SAN FELIPE DITCH AND SAN FELIPE WEST DRAIN OUTFALL TO RIO

GRANDE 60SILCN QR HG SILE MAIN CANAL HEADING SUPPLY TO SILI MAIN CANALSILWW QR HP SILE MAIN WASTEWAY RETURN FLOW FROM SILI MAIN CANAL TO RIO GRANDESJM02 QR HP SAN JUAN MAIN CANAL CHECK #2 FLOW IN SAN JUAN MAIN CANAL BELOW SAIZ HEADINGSJM05 QR HP SAN JUAN MAIN CANAL CHECK #5 FLOW IN SAN JUAN MAIN CANAL BELOW LAS NUTRIAS HEADINGSJM12 QR HP SAN JUAN MAIN CANAL CHECK #12 FLOW IN SAN JUAN MAIN CANAL BELOW GRANT #1 HEADINGSJM15 - - SAN JUAN MAIN CANAL CHECK #15 FLOW IN SAN JUAN MAIN CANAL BELOW LAS NUTRIAS RETURN FLOWSJMCN QR HG SAN JUAN MAIN CANAL HEADING SUPPLY TO SAN JUAN MAIN CANALSLNGT QR HP SLOAN’S GATE HEADING OF SAUSAL/LOS CHAVEZ DITCHESSMC10 QR HP SOCORRO CHECK 10 FLOW FROM SOCORRO MAIN NORTH TO SOCORRO MAIN CENTERSMSCN QR HG SOCORRO MAIN SOUTH AT BDA DELIVERY TO BOSQUE DEL APACHE FROM SOCORRO MAIN SOUTHSNA01 QR HP SAN ACACIA GATE 1 FLOW THROUGH LANGEMANN GATE TO RIVER DOWNSTREAM OF SAN

ACACIA WEIR, RGSM BYPASSSNA02 QR HP SAN ACACIA GATE 2 FLOW THROUGH LANGEMANN GATE INTO SOCORRO MAIN CANAL, MRGCD

DIVERSION AT SAN ACACIASNA03 - - RIVER GATE (S), SAN ACACIA DAM FLOW THROUGH SAN ACACIA DAM IN EXCESS OF RGSM GATESNADV QR - SAN ACACIA DIVERSION TOTAL ACTUAL DIVERSION FROM RIO GRANDE BY SAN ACACIA DAMSNAWW QR -SNAWQ WQ WQ SAN ACACIA WATER QUALITYSOACN QR HP SOCORRO ACEQUIA HEADING OF SOCORRO ACEQUIASOCCK - - SOCORRO CHECK (LFCC) FLOW FROM LFCC TO MRGCD FOR USE BY SOCORRO MAINSOCCN QR HG SOCORRO MAIN CANAL FLOW IN SOCORRO MAIN CANAL NORTH, SUPPLY TO SOCORRO DIVISIONSOCDR QR HG SOCORRO DRAIN AT BDA DELIVERY TO BOSQUE DEL APACHE FROM SOCORRO DRAINSOCDV QR -SOCWW QR HG SOCORRO WASTEWAY RETURN FLOW FROM SOCORRO MAIN TO LFCCSQBCN QR HG SQUARE BOWL FEEDER CANAL SUPPLY TO SQUARE BOWL FEEDER CANALSTYWW QR HG STOREY WASTEWAY RETURN FLOW FROM SAN JUAN CANAL TO RIO GRANDE SOUTH OF HWY

346 BRIDGETEBGT QR HP TEBO FEEDER CANAL DIVERSION FROM BELEN HIGHLINE TO END OF NEW BELEN ACEQUIATOMCN - -UBLDR QR HP UPPER BELEN DRAIN FLOW IN BELEN DRAIN BELOW OLD JARALES HEADINGUBLGT QR HP UPPER BELEN DRAIN GATE FLOW FROM 240 FEEDER TO HEADING OF BELEN DRAIN SYSTEMUCRDR QR HG UPPER CORRALES DRAIN RETURN FLOW FROM UPPER CORRALES DRAIN TO RIO GRANDE AT

ALAMEDA BRIDGEUN7DR QR HG UNIT 7 DRAIN FLOW IN UNIT 7 DRAIN ARRIVING AT SAN ACACIA DAMUN7WW QR - UNIT 7 WASTEWAY UNIT 7 DRAIN FLOW RETURNED TO RIO GRANDE ABOVE SAN ACACIA DAM

ID P1 P2 Name Description—– – – —————————– ————————————————————————VALCN - -VAZCN - - VAZQUEZ LATERAL HEADING OF VAZQUEZ LATERALWUADV - - WATER UTILITY AUTHORITY ABCWUA DIVERSION FROM RIO GRANDE N OF PASEO AVE.

DIVERSIONWUATF - - WATER UTILITY AUTHORITY ABCWUA TREATMENT PLANT DISCHARGE TO RIO GRANDE S OF RIO BRAVO

BLVD.These are Atrisco RSGMseperations.

ELEVA - - ATRISCO HABITAT WATER SURFACE ELEVATIONGATEA - - ATRISCO HABITAT INLET GAGE POSITIONCONTA - - ATRISCO HABITAT CONTROL STATUSPOWEA - - ATRISCO HABITAT CONTROL POWER

16.2 USBR Pumping Stations

Pumping station data are sets are are received by the MRGCD from the USBR just prior to thetop of the hour and just prior to 30 minutes past each hour. Similar to MRGCD data, thesedata are in the Standard Hydrometeorological Exchange Format (SHEF) convention.

These data, which are managed by the USBR, use a three character gage name followed byPS (pumping station). An example pumping station is NCPPS.

16 STREAM FLOW DATA 49

The parameter (P) codes that are reported are:

QR = Discharge in cfsHG = Height or stage in feet

ID P1 P2 Name Description—– – – —————————– ——————————————–FCRPS QR HG FORT CRAIG PUMP STATION PUMPED FLOW FROM LFCC TO RIO GRANDE FOR RGSMNBYPS QR HG NORTH BOUNDARY PUMP STATION PUMPED FLOW FROM LFCC TO RIO GRANDE FOR RGSMNCPPS QR HG NEIL CUPP PUMP STATION PUMPED FLOW FROM LFCC TO RIO GRANDE FOR RGSMSBYPS QR HG SOUTH BOUNDARY PUMP STATION PUMPED FLOW FROM LFCC TO RIO GRANDE FOR RGSMTOTPS Total NCPPS NBYPS SBYPS FCRPS NCPPS+NBYPS+SBYPS+FCRPS

The pumping station file named TOTPS (total pumping station) provides the combineddaily values of the four stations, a combined daily average, a total-to-date for each station inac-ft, and a total-to-date of all four stations in ac-ft. These data are available from the HomePage (figure 3 W), choosing Pumping Station Data under Historic Data. Click on the currentyear and then TOTPS.gage, figure 32. W).

16.3 USGS Stream Flow Data

The data are automatically received into the ET Toolbox from the USGS via World Wide Webget (Wget).

The USGS uses the Standard Hydrometeorological Exchange Format (SHEF) convention.This is a three character gage name followed by the 1st character of the state name, followedby a number representing the state’s alphabetical order. New Mexico (N) is the 5th state (5).Therefore all USGS gages in New Mexico are identified by N5 in the 4th and 5th characterpositions. An example USGS gage is OTWN5.

The parameter (P) codes that are reported are:

QR = Discharge in cfsHG = Height or stage in feet

16 STREAM FLOW DATA 50

ID P1 P2 Name Description—– – – —————————– ——————————————–ABQN5 QR HG RIO GRANDE AT ALBUQUERQUE FLOW IN RIO GRANDE AT CENTRAL AVE. IN ALBUQUERQUE (08330000)AICN5 QR HG RIO CHAMA BLW ABIQUIU DAM (08287000)BELN5 QR HG RIO GRANDE AT HWY 346 NEAR (08331510)

BOSQUE, NMBNDN5 QR HG RIO PUERCO AT BERNARDO (08353000)BRGN5 QR HG RIO GRANDE NEAR BOSQUE FARMS FLOW IN RIO GRANDE NEAR BOSQUE FARMS, NM (08331160)CCCN5 QR HG R.G. BLW COCHITI, SILE, (08313500)

COCHITI CANALCTDN5 QR HG RIO GRANDE BELOW COCHITI DAM FLOW IN RIO GRANDE BELOW COCHITI, DOES NOT INCLUDE FLOW TO

COCHITI DIVISION CANALS (08317400)EDBN5 QR HG RIO GRANDE BELOW ELEPHANT (08361000)

BUTTE DAMEMBN5 QR HG RIO GRANDE AT EMBUDO (08279500)ISLN5 QR HG RIO GRANDE AT ISLETA LAKES FLOW IN RIO GRANDE AT ISLETA LAKES (08330875)JECN5 QR HG RIO JEMEZ BELOW JEMEZ CANYON FLOW IN RIO JEMEZ ENTERING RIO GRANDE JUST BELOW ANGOSTURA

WEIR (083289500OTWN5 QR HG RIO GRANDE AT OTOWI BRIDGE FLOW IN RIO GRANDE AT OTOWI BRIDGE, NM (08313000)RCAN5 QR HG RIO CHAMA ABV ABIQUIU DAM 08286500RCEN5 QR HG RIO CHAMA BLW EL VADO 08285500RGAN5 QR HG RIO GRANDE NEAR ALAMEDA FLOW IN RIO GRANDE AT PASEO DEL NORTE BRIDGE, BELOW WUA

DIVERSION (08329928)RGBN5 QR HG RIO GRANDE AT ALAMEDA BRIDGE FLOW IN RIO GRANDE AT ALAMEDA BRIDGE, ABOVE WUA DIVERSION

(08329918)RGCN5 QR HG GALISTEO CREEK BELOW GALISTEO FLOW BEING RELEASED FROM GALISTEO RESERVOIR TO RIO GRANDE VIA

GALISTEO ARROYO (08317950)RGEN5 QR HG RIO GRANDE AT ESCONDIDA FLOW IN RIO GRANDE AT ESCONDIDA BRIDGE (08355050)RGQN5 QR HG RIO GRANDE NEAR BOSQUE, NM FLOW IN RIO GRANDE AT HWY 346 BRIDGE (08331510)RGSN5 QR HG RIO GRANDE AT SAN ANTONIO FLOW IN RIO GRANDE AT SAN ANTONIO (US HWY 380 BRIDGE)

(08355490)RLPN5 QR HG RIO CHAMA NR LA PUENTE (08284100)SFPN5 QR HG RIO GRANDE AT SAN FELIPE FLOW IN RIO GRANDE AT SAN FELIPE PUEBLO (08319000)

PUEBLOSILN5 QR HG R.G. BLW COCHITI, SILE, (08314000)

COCHITI CANALSMCN5 QR HG LFCC AT SAN MARCIAL FLOW IN LOW FLOW CONVEYANCE CHANNEL AT SAN MARCIAL (08358300)SMFN5 QR HG RIO GRANDE AT SAN MARCIAL FLOW IN RIO GRANDE AT SAN MARCIAL (08358400)SNAN5 QR HG RIO GRANDE AT SAN ACACIA FLOW IN RIO GRANDE BELOW SAN ACACIA DAM (08354900)WBHN5 QR HG LOWER WILLOW CREEK BELOW HERON RESERVOIR (08284520)

16 STREAM FLOW DATA 51

16.4 USACE Stream Flow Data

The data are automatically received into the ET Toolbox from the USACE via World WideWeb get (Wget).

The USACE uses the Standard Hydrometeorological Exchange Format (SHEF) convention.This is a three character gage name followed by the 1st character of the state name, followedby a number representing the state’s alphabetical order. New Mexico (N) is the 5th state (5).Therefore all USACE gages in New Mexico are identified by N5 in the 4th and 5th characterpositions. Colorado is C2. An example USACE gage is ABIN5.

The parameter (P) codes that are reported are:

QR = Discharge in cfsHG = Height or stage in feetHP = Height or stage in feetLS = Reservoir storage in acre-feet

ID P1 P2 Name Description—– – – —————————– ————————————————————————ABIN5 LS HP ABIQUIU RESERVOIRAVLN5 LS HP AVALON RESERVOIRCBLN5 LS HP BRANTLEY RESERVOIRCOCN5 LS HP COCHITI LAKEEBDN5 LS HP ELEPHANT BUTTE RESERVOIRELVN5 LS HP EL VADO DAMHEWN5 QR HG LOWER WILLOW CREEK ABOVE HERON RESERVOIRLOBC2 QR HG RIO GRANDE NEAR LOBATAS, COTRAN5 LS HP HERON RESERVOIR

16.5 USFWS (US Fish and Wildlife Service) Stream Flow Data

The data are automatically received into the ET Toolbox from the USFWS via World WideWeb get (Wget).

The USFWS uses the Standard Hydrometeorological Exchange Format (SHEF) convention.However, the naming convention begins with NM followed by a three digit number.

The parameter (P) codes that are reported are:

QR = Discharge in cfs

ID P1 P2 Name—– – – —————————–NM111 QR - LANGEMANN OUTFLOWNM122 QR - LOW FLOW SOUTH INFLOWNM133 QR - RIVERSIDE CANALNM144 QR - SOCORRO TAILWATER INFLOWNM155 QR - SOUTHERN WETLANDS OUTFLOW

16 STREAM FLOW DATA 52

16.6 Schematics

All of the data are assembled into text files and plots; in some instances combining data foroperations. There are four schematics within the MRGCD, each representing a water deliverydivision.

In addition, there is a schematic for the entire Rio Grande from the Otowi Bridge gage tothe San Marcial gage, and a schematic for Middle Rio Grande/San Juan Chama Operationsfrom the Lobatas gage to below Elephant Butte Dam.

Access to the schematics is via the Home Page (figure 1 W) choosing one of the six schematicsunder Stream Flow Data:

Cochiti Division Schematic (figure 33 W)Albuquerque Division Schematic (figure 34 W)Belen Division Schematic (figure 35 W)Socorro Division Schematic (figure 36 W)Rio Grande Schematic (figure 37 W)MRG/SJC Operations Schematic (figure 38 W)

Gray pop-up boxes near the top of each schematic allow easy access to other schematics andthe New Mexico menu (ET Toolbox) and 24 Hour Rain (NEXRAD rain).

The following text is included after the schematic, where appropriate, for guidance:

Middle Rio Grande Conservancy District (MRGCD) Gage SchematicValues in boxes are latest discharges in cfs, except reservoir storage in ac-ft.Click on green boxes for MRGCD gage plots.Click on yellow boxes for USGS gage plots.Click on orange boxes for RGSM (USBR) pumping station plots.Click on white boxes for Reservoir Storage plots. Values are acre-feet.Click on mint green boxes for USFWS gage plots.Click on red boxes for reach summary plots.Click on pink circles, with ?, for information about the schematic, where available.

The schematics are updated every 30-minutes, as noted by the posted date and time at thebottom. All times are Mountain Standard Time (MST) throughout the year. The schematicsshow the inflows and outflows throughout the MRGCD.

NOTE: Downloading and use of MRGCD data is possible but discouraged due to the pro-visional status of the data. MRGCD may be contacted to provide final data, though this mayrequire some time.

No value in a box means the stream flow gage network has not been established. Clickingon a box with a value, or N/A (Not Available), pops-up a graph containing two charts. Thisis an example of the Socorro Main Canal Heading (figure 39 W). The bottom chart shows theheight (stage) of the gage in feet and the top shows the discharge (stream flow) in cfs. A tableto the right of the graph provides the year-to-date gage information (figure 40).

Another example is the USGS reservoir storage gage at Cochiti Lake (figure 41 W). Thebottom chart shows the water surface elevation above sea level in feet and the top shows the

16 STREAM FLOW DATA 53

storage in acre-feet. A table to the right of the graph provides the year-to-date gage information(figure 42).

The MRG/SJC Operations schematic contains unique data not found in the others. Inaddition to USGS stream flow gages, it contains reservoir storage and reachs 1 through 8 inflows,depletions and gain/loss. Also shown are total MRGCD demands at Cochiti and diversions atkey locations within the District. The following three tables show how the inflows, depletions,and gain/loss are determined.

This table defines how the inflows are determined, which are summations of daily averagestream flows:

ID P1 P2 Name Description—– – – —————————– ————————————————————————R1INF I1 - REACH 1 INFLOW CTDN5+RGCN5+AUGCN+SILWWR2INF I2 - REACH 2 INFLOW SFPN5+SQBCN+SANWWR3INF I3 - REACH 3 INFLOW RGBN5+UCRDR+HAYWW+CORWW+LCRDR+CENWWR4INF I4 - REACH 4 INFLOW ABQN5+WUATF+ATRDR+ARSDRR5INF I5 - REACH 5 INFLOW RGSMF+ALJWW+240WW+LCZWW+PERWW+LP1DR+BELDR+NBAWW+LP2DRR6INF I6 - REACH 6 INFLOW RGQN5+STYWW+FD3WW+SABDR+LSJDR+SFRDR+BNDN5R7INF I7 - REACH 7 INFLOW SNAN5+9MILE+NCPPS+NBYPS+SBYPSR8INF I8 - REACH 8 INFLOW SMFN5+FCRPS

This table defines how the depletions are determined, which are the total water uses (WU),as calculated by the ET Toolbox, minus the NEXRAD effective rain. No ground water or otherextractions are included:

ID P1 P2 Name Description—– – – —————————– ————————————————————————R1DEP WU PP REACH 1 DEPLETION TOTAL WATER USE (ET - RAIN) COCHITI TO SAN FELIPER2DEP WU PP REACH 2 DEPLETION TOTAL WATER USE (ET - RAIN) SAN FELIPE TO ALAMEDAR3DEP WU PP REACH 3 DEPLETION TOTAL WATER USE (ET - RAIN) ALAMEDA TO CENTRAL AVENUER4DEP WU PP REACH 4 DEPLETION TOTAL WATER USE (ET - RAIN) CENTRAL AVENUE TO ISLETAR5DEP WU PP REACH 5 DEPLETION TOTAL WATER USE (ET - RAIN) ISLETA TO RIO GRANDE NEAR

BOSQUE, NMR6DEP WU PP REACH 6 DEPLETION TOTAL WATER USE (ET - RAIN) RIO GRANDE NEAR BOSQUE, NM TO

SAN ACACIAR7DEP WU PP REACH 7 DEPLETION TOTAL WATER USE (ET - RAIN) SAN ACACIA TO SAN MARCIALR8DEP WU PP REACH 8 DEPLETION TOTAL WATER USE (ET - RAIN) SAN MARCIAL TO ELEPHANT BUTTE

This table defines how the gain/loss (GL) is determined, which are the inflows minus thedepletions:

ID P1 P2 Name Description—– – – —————————– ————————————————————————R1GAL GL - REACH 1 GAINLOSS R1INF-R1DEPR2GAL GL - REACH 2 GAINLOSS R2INF-R2DEPR3GAL GL - REACH 3 GAINLOSS R3INF-R3DEPR4GAL GL - REACH 4 GAINLOSS R4INF-R4DEPR5GAL GL - REACH 5 GAINLOSS R5INF-R5DEPR6GAL GL - REACH 6 GAINLOSS R6INF-R6DEPR7GAL GL - REACH 7 GAINLOSS R7INF-R7DEPR8GAL GL - REACH 8 GAINLOSS R8INF-R8DEP

16.7 Direct Links to USGS Gage Information

Clicking on the white triangles found on many of the pop-up windows throughout the AWARDS/ETToolbox system provides real-time Internet links to USGS gage graphs and text data. This isan example available by clicking on the white triangle for Otowi Bridge in the Alcalde windowof (figure 5 W) or from the Stream Flow Products image to get the Alcalde window containingthe white triangle (figure 43 (W). The address for this USGS gage is:

http://waterdata.usgs.gov/nm/nwis/uv/gen stn pg?station=08313000 (Rio Grande at OtowiBridge).

17 WATER QUALITY DATA 54

17 Water Quality Data

A water quality component was added to the Toolbox in 2014. This is a schematic similar tothose in (section 16), Stream Flow Data. More specifically, a modified MRG/SJC Operationsschematic containing MRGCD, USGS, USACE, and UNM stream flow is used with added waterquality data. This table includes the water quality stations received in conjunction with theMRGCD stream flow data, where the parameter (P1) code is WQ. Other stations may be addedin the future.

ID P1 P2 Name Description—– – – —————————– ————-ALAWQ WQ WQ RIO GRANDE AT ALAMEDA BRIDGE WATER QUALITYCOCWQ WQ WQ RIO GRANDE BELOW COCHITI DAM WATER QUALITYISLWQ WQ WQ ISLETA DAM WATER QUALITYSABWQ WQ WQ SABINAL DRAIN OUTFALL WATER QUALITYSNAWQ WQ WQ SAN ACACIA WATER QUALITY

This table includes the water qulity stations also received every 30 minutes from the Uni-versity of New Mexico (UNM), as requested by the USACE.

ID P1 P2 Name Description—– – – —————————– ————-ABCWQ WQ WQ ABOVE COCHITI WATER QUALITYALBWQ WQ WE ALAMEDA BRIDGE (USACE) WATER QUALITYCHTWQ WQ WE CHAMITA WATER QUALITYI25WQ WQ WE I25 BRIDGE WATER QUALITY

Access to the resulting schematic is via the Home Page (figure 1 W) choosing: Water QualitySchematic (figure 44) W).

NOTE: Downloading and use of MRGCD data is possible but discouraged due to the pro-visional status of the data. MRGCD may be contacted to provide final data, though this mayrequire some time.

Like the stream flow schematics, the water quality schematic is updated every 30-minutes,as noted by the posted date and time at the bottom. All times are Mountain Standard Time(MST) throughout the year.

No value in a box means the water quality gage network has not been established. Clickingon a red circle with a value, or N/A (Not Available), pops-up a graph containing two charts.This is an example of the Rio Grande Below Cochiti Dam (figure 45) W). The top chart showsthe water temperature in Deg. C and the dissolved oxygen (DO) in milligrams per liter. Themiddle shows the PH and the dissolved oxygen (DO) in milligrams per liter. The bottom showsthe salinity in millisiemens per centimeter and the Turbidity in NTU. Other water quality plotsmay display different data. A table to the right of the graph provides the year-to-date data(figure 46). These data, depending on the gage and source, may contain:

17 WATER QUALITY DATA 55

Data Description Units—- ——————– ———————————–Temp. Degrees (Deg. C) and (Deg. F)EC Salinity Millisiemens per Centimeter (ms/cm)TDS Total Dissolved Solids Parts per Million (ppm)DO Dissolved Oxygen Milligram per Liter (mg/l)WH Water Head above gage feet (ft)PHTurb. Turbidity Formazin Nephelometric Units (fnu)DN Dissolved Nitrate Milligram per Liter (mg/l)DP Dissolved Phosphate Milligram per Liter (mg/l)

18 INTERFACE WITH RIVERWARE 56

18 Interface with RiverWare

ET Toolbox files for each of the eight river reaches are available for the URGWOM team toaccess at around 6:00 AM MST each day. The river reach boundaries are listed in the followingtable.

River Reach 1 Cochiti Dam gage to San Felipe gageRiver Reach 2 San Felipe gage to Alameda gageRiver Reach 3 Alameda gage to Central Avenue gageRiver Reach 4 Central Avenue gage to Isleta gageRiver Reach 5 Isleta gage to Bernardo gage (Hwy. 346)River Reach 6 Bernardo gage to San Acacia gageRiver Reach 7 San Acacia gage to San Marcial gage (includes the Bosque Del Apache)River Reach 8 San Marcial gage to north end of Elephant Butte Reservoir

These ET Toolbox files contain daily consumptive use rate (inches/day) for all agricultural,riparian, and urban vegetation classifications. Refer to AWARDS/ET Toolbox Calculations(section 13) for more information.

A sample ET Toolbox file for reach 2, for a short period of time in June and July 2018,(figure 47) is shown here. It contains data, in inches/day, for each classification that is in thereach (the version available to the URGWOM team shows all data for the current year). Thedata for the last seven dates are forecast values based on the National Digital Forecast Database(NDFD) 5-km grid.

A sample ET Toolbox file for all reaches for a short period of time in June and July 2018(figure 48) is shown here. It contains data, in cfs, for all classifications in each reach (the versionavailable to the URGWOM team shows all data for the current year). The data for the lastseven dates are forecast values based on the National Digital Forecast Database (NDFD) 5-kmgrid. Some quantities are negative because they are adjusted for effective rainfall,

These ET Toolbox files are not available from the website, therefore no web address isprovided here. They are internal files processed in the computer system, and made availabledaily for use by the URGWOM team. The above two figures exist in this document only forinformation purposes - they are not intended to be accessed by the casual user of the ET Toolbox.

A file containing the classification keys and a file containing the acreage of each classificationsplit between the east and west sides of the Rio Grande are also provided.

The tasks of developing the Data Management Interfaces (DMIs) between the ET Tool-box files, the Hydrologic Engineer Center - Data Storage System (HEC-DSS), and RiverWarewere accomplished by the URGWOM team. Please contact the URGWOM team for infor-mation on how these provided data are used in the RiverWare Model. There address is:http://www.spa.usace.army.mil/Missions/CivilWorks/URGWOM.aspx (URGWOM).

19 HISTORIC ET TOOLBOX PROCESSING - 1975 TO 2005 57

19 Historic ET Toolbox Processing - 1975 to 2005

At the request of the URGWOM team, historic consumptive use values were processed to satisfya requirement of determining agricultural and riparian water depletions in each of the riverreaches. The results of this study were used to calibrate the URGWOM.

Years 1984 through 1998 were processed using a combination of the Alcalde and Los Lunasweather stations. Temperature and relative humidity from the Los Lunas station and solarradiation and wind from the Alcalde station were used to calculate the Penman Reference ET.

Years 1975 through 1983 were processed differently. For these years there were no data fromAlcalde, and only temperature and precipitation data were available at Los Lunas. Therefore, amonthly comparison of temperature and precipitation was made with years 1984 through 2000.Daily relative humidity, solar radiation, and wind data from the closest matched month in theperiod 1984 through 2000 were then used to calculate the Penman Reference ET. An Excelspread sheet has been developed that shows the Los Lunas precipitation and temperature data,and a comparison of monthly precipitation and average temperatures for each year 1975 through1983, with 1984 through 2000.

Access to the spread sheet is available through the Internet at:http://www.usbr.gov/uc/albuq/water/ETtoolbox/rg/doc/NM LosLunasCOOPdata.xls (W).Page seven of the spread sheet contains documentation of the procedures used.Years 1999 through 2011 used temperature, relative humidity, solar radiation, and wind

data from various weather stations for calculating the Penman Reference ET. The stations wereassigned to specific 4 km x 4 km HRAP grid cells within each reach. Note that these are theoriginal reaches in place before 2006:

19 HISTORIC ET TOOLBOX PROCESSING - 1975 TO 2005 58

1999 Reaches 1 and 2 AlcaldeReach 3 Rio Grande Nursery (NMCC)Reach 4 Los LunasReach 5 Boy’s RanchReach 6 North Bosque

2000 Reach 1 Pena Blanca and AngosturaReach 2 AngosturaReach 3 Angostura, Rio Grande Nursery, and Albuquerque Golf Course (NMCC)Reach 4 Bosque Bar (MRGCD), Rio Grande Nursery, Los Lunas, Jarales,

and Boy’s RanchReach 5 Boy’s RanchReach 6 Luis Lopez, North Bosque, and South Bosque

2001 Reach 1 Pena Blanca and AngosturaReach 2 AngosturaReach 3 Angostura, Rio Grande Nursery, and Albuquerque Golf Course (NMCC)Reach 4 Bosque Bar (MRGCD - through Dec 6), Rio Grande Nursery, Los Lunas,

Jarales, and Boy’s RanchReach 5 Boy’s Ranch and San AcaciaReach 6 San Acacia, Luis Lopez, North Bosque, and South Bosque

2002 Reach 1 Pena Blanca and AngosturaReach 2 AngosturaReach 3 Angostura, Rio Grande Nursery, and Albuquerque Golf Course (NMCC)Reach 4 Rio Grande Nursery, Los Lunas, Jarales, and Boy’s RanchReach 5 Boy’s Ranch and San AcaciaReach 6 San Acacia, Luis Lopez, North Bosque, and South BosqueReach 7 South Bosque

2003 Reach 1 Pena Blanca and AngosturaReach 2 AngosturaReach 3 Angostura and Candelaria FarmsReach 4 Candelaria Farms, Los Lunas, Jarales, and Boy’s RanchReach 5 Boy’s Ranch and San AcaciaReach 6 San Acacia, Luis Lopez, North Bosque, and South BosqueReach 7 South Bosque

Additional MRGCD weather stations were added in 2004 and assigned to appropriate riverreaches as data from them became available.

Occasionally data from weather stations were not available. In these cases interim substitu-tions were made while repairs were underway, or permanent replacements were made if new ornearby stations were available.

In all historic processing through 1998, only weather station precipitation data were usedsince NEXRAD data were not collected for the ET Toolbox until 1999. The historic data postedon the website for 1999 through the last most complete year uses NEXRAD precipitation. Thisis an important item to note when comparing 1975 through 1998 precipitation data with 1999through current year precipitation data.

Numerous reruns of the historic ET Toolbox processing for 1975 through 1998 have occurred.The more recent was in February 2003 to correct problems with the agricultural acreage andprecipitation in reach 6.

19 HISTORIC ET TOOLBOX PROCESSING - 1975 TO 2005 59

For these historic calculations, the vegetative acreage from the 1992/93 LUTA for reaches 1through 5 were used, as well as the combinations of data sources for reach 6. Refer to GIS LandClassification (section 14).

The same crop coefficients and Penman Reference ET Equation were used. The only variancefrom year-to-year was the weather data.

The year 2001 ends on December 6 due to the Department of the Interior shutdown ofInternet communications.

Additional historic processing was requested by the URGWOM team in 2006. This requestwas for processing years 2000 through 2005 using the new eight river reach delineations basedon the 4km x 4km HRAP grid cells, not the 1-km QPE grid cells that started in 2007. It wasalso based on the newer IKONOS and Utah State University land classification. Refer to theHome Page, (figure 3 W) Historic Data, ET Summary Information by New River Reaches (1-8),for the summaries and a listing of weather station assignments to the new reaches.

20 ET TOOLBOX RESEARCH 60

20 ET Toolbox Research

Future ET Toolbox research could include studies to:

1. Simplify overall Toolbox operation including NEXRAD data reduction and mapping.2. Study and implement a rainfall/runoff model to better predict ungaged inflows to streams/river(s).3. Modify ET for less than potential conditions.4. Determine if adding soil moisture fields from Land Surface Models and observations, and soil types and

slope, can be used in the ET Toolbox to improve the efficiency of water management.5. Improve estimates of effective precipitation using soil types and slope, and soil moisture.6. Renew weather station network to ensure reliable weather data7. Install additional weather stations in critical ET demand areas.8. Provide weather station calibration and data quality resources to improve ET reliability.9. Implement a field scheduling component based on real-time

soil moisture monitoring, soil types, and plant growth, to improve irrigation delivery demands.10. Access and use real-time ground water level information for integration into a system-wide water

balance feature.11. Improve the Stream Flow Schematics to include greater detail and missing data.12. Improve the Web site, to make it more user friendly.

21 REFERENCES 61

21 References1. American Society of Agricultural Engineers (ASAE), 1983:

Design And Operation Of Farm Irrigation Systems.2. Jensen, M.E., 1998:

Coefficients for Vegetative Evapotranspiration and Open Water Evaporation for the LowerColorado River Accounting System. Report prepared for the U.S. Bureau of Reclamation,Boulder City, Nevada.

3. King, J.P., A.S. Bawazir, and T.W. Sammis, 2000:Evapotranspiration Crop Coefficients as a Function of HeatUnits for Some Agricultural Crops in New Mexico. Technical Completion Report forProject No. 01-4-23955, New Mexico State University

4. Sammis, T.W., C.L. Mapel, D.G. Lugg, R.R. Lansford, J.T. McGuckin, 1985:Evapotranspiration Crop Coefficients

5. Predicted Using Growing Degree Days. Transactions of the ASAE (American Society ofAgricultural Engineers) 28(3), pp. 773-780.

6. FAO Irrigation and Drainage Paper No. 567. Astronomical Almanac (1998)8. IIHR Report No. 430, July 2003:

Lake Evaporation Estimation In Arid Environments9 Middle Rio Grande Conservancy District (MRGCD)10. Colorado Agricultural Meteorological Network (COAGMET)11. New Mexico State Climate Center (NMSCC)12. National Severe Storm Laboratory (NSSL)13. National Digital Forecast Database (NDFD)14. National Centers for Environmental Prediction (NCEP)15. FLO-2D16. Upper Rio Grande Water Operations Model (URGWOM)17. United States Geological Survey (USGS)18. United States Army Corps of Engineers (USACE)19. United States Fish and Wildlife Service (FWS)20. Utah State University (USU)21. University of New Mexico (UNM)22. New Mexico State University (NMSU)23. Keller-Bliesner Engineering, LLC

22 FIGURES 62

22 FIGURES

22 FIGURES 63

Albuquerque Water Operations | UC Region | Bureau of Reclamation

https://www.usbr.gov/uc/albuq/water/ETtoolbox/riogrande.html[8/24/2018 9:20:09 AM]

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Upper Colorado RegionEncompassing all or parts of Arizona, Colorado, Idaho, Nevada, New Mexico, Texas,Utah and Wyoming

NEXRAD Rainfall, Weather Station, and ET Productsfor the Rio Grande Basin

Rio Grande Basin AWARDS System and ET Toolbox Project Areas

MAP with Quantitative Precipitation Estimation (QPE) and River ReachesPlease note - MRGCD Weather Station Data are available for some areas startingMarch 6, 2018, and used for ET calculations. In areas where the data are notavailable, or if the data parameters are missing or out of normal range, the 5-km cellweather forecast data are used. Example: the forecast on the evening of July 1 for thefollowing day (July 2) is used for ET calculatons for July 2 using the Hargreavesmethod for Referance ET. To see the forecast data, click on a reach within this map.Then click on a red + to see 5-km cell forecast weather data.

Consumptive Use Plots with:Stream Depletion for Reaches: All 1 2 3 4 5 6 7 8 Rain for Reaches: All 1 2 3 4 5 6 7 8

Stream Flow Data:MRGCD Rio Grande Schematic, MRGCD Cochiti Division Schematic, MRGCDAlbuquerque Division Schematic, MRGCD Belen Division Schematic, MRGCD SocorroDivision Schematic, MRG/SJC Operations Schematic

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Figure 1: NEXRAD Rainfall, WX, and ET Products for the R. G. B. Menu - Part 1

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Albuquerque Water Operations | UC Region | Bureau of Reclamation

https://www.usbr.gov/uc/albuq/water/ETtoolbox/riogrande.html[8/24/2018 9:20:09 AM]

MRGCD Weather Station Data

Daily Effective Rain by Reach

Awards ET Charts for Chama/Velarde (C/V) and Reaches 1-8Click on a red + to see 5-km cell forecast weather data. Click within dots for cell-by-cell chartsClick on "day" for specific daily rain - Click on "1 wk anim" for rain animationC/V 1 2 3 4 5 6 7 8

ET Toolbox Consumptive Use Details for Chama/Velarde (C/V) and Reaches 1-8Click on a red + to see 5-km cell forecast weather data. Click within dots for cell-by-cell detailsClick on "day" for specific daily rain - Click on "1 wk anim" for rain animationC/V 1 2 3 4 5 6 7 8

ET Toolbox URGWOM ET Maps for Chama/Velarde (C/V) and Reaches 1-8Click on "1 wk anim" for ET animationC/V 1 2 3 4 5 6 7 8

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Predicted ET (cfs) for the Next Seven Days

Elephant Butte Reservoir EvaporationPlease note - Due to lack of real-time weather data at or on the reservoir, thisevaporation is based upon forecast weather data.

Rain, USGS Links, and Weather Data in Other AreasUpper Rio GrandeAlcaldeTruth or ConsequencesDerryLas CrucesEl Paso NWEl Paso SEPecos River

Lower Rio Grande ET Summary files

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Recent changes to the AWARDS/ET Toolbox

Figure 2: NEXRAD Rainfall, WX, and ET Products for the R. G. B. Menu - Part 2

22 FIGURES 65

Albuquerque Water Operations | UC Region | Bureau of Reclamation

https://www.usbr.gov/uc/albuq/water/ETtoolbox/riogrande.html[8/24/2018 9:20:09 AM]

Historic Data

1-hour Weather Data from MRGCD Operated Automated Weather Stations.

24-hour Weather Data from MRGCD, New Mexico State University, and ColoradoAgricultural Meteorological Network Automated Weather Stations.

ET Summary Information by New River Reaches 1-8.

Gage Data from Middle Rio Grande Conservancy District (MRGCD), USGS, USACE,FWS, and UNM.

Pumping Station Data from USBR

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1-Year of Archived Daily Upper Rio Grande QPESums Estimated Rainfall Images

Daily Images of All Reaches

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6-hour Animation loop of recent satellite west U.S. images -- GOES WEST IR fromNOAA

6-hour Animation loop of recent satellite east U.S. images -- GOES EAST IR fromNOAA

HPC National Quantitative Precipitation Forecast (QPF) GraphicsDay 1 Day 2 Day 3 Day 4-5

Medium Range Forecasts from the HPC:Red = Max. Temperature, Blue = Min. Temperature, Green = Prob. of Precip.Day 3 Max / Min Temp and PoP ForecastsDay 4 Max / Min Temp and PoP ForecastsDay 5 Max / Min Temp and PoP ForecastsDay 6 Max / Min Temp and PoP ForecastsDay 7 Max / Min Temp and PoP Forecasts

Current Monthly and Seasonal Climate Outlook from the CPC

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Figure 3: NEXRAD Rainfall, WX, and ET Products for the R. G. B. Menu - Part 3

22 FIGURES 66

Albuquerque Water Operations | UC Region | Bureau of Reclamation

https://www.usbr.gov/uc/albuq/water/ETtoolbox/riogrande.html[8/24/2018 9:20:09 AM]

Current Atmospheric Soundings (Skew-T) for Albuquerque, NM (ABQ)and El Paso, TX (EPZ)GoTo NWS West Gulf River Forecast Center, Fort Worth, TX Home PageGoTo NWS Albuquerque, NM Home PageGoTo NWS El Paos, TX Home PageGoTo Sevilleta LTER Program, University of New MexicoGoTo New Mexico Climate CenterGoTo Middle Rio Grande Conservancy DistrictGoTo URGWOM - US Army Corps of EngineersGoTo AWARDS System Information PageBackTo Albuquerque Water Home Page

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22 FIGURES 67

Figure 5: Rio Grande Map - Awards

22 FIGURES 68

Figure 6: River Reach 2 - Awards

22 FIGURES 69

Angostura, NM − Weather Data − 2018 Name: ANG24 Source: mrgcd Elev. 5049 ft July July July July July July July Lat. 35.375 * 17 * 18 * 19 * 20 * 21 22 * 23 Lon. 106.503 −−−− −−−− −−−− −−−− −−−− −−−− −−−− Max. Temp. (F) 90.0 93.0 96.0 96.0 97.0 104.0 94.0 Min. Temp. (F) 65.0 66.0 67.0 68.0 67.0 61.0 69.0 Avg. Wind (Mi/Hr) 2.5 2.8 3.6 5.0 3.9 2.2 11.1 Rel. Hum. (%) 49.0 44.0 41.5 38.0 29.0 31.4 51.5 Total Rain (In) 0.06 0.01 0.01 0.01 0.01 0.00 0.04 Eff. Rain (In) 0.06 0.01 0.01 0.01 0.01 0.00 0.04 Solar Rad. (Mj/Sq M) 23.51 26.16 24.67 25.21 31.06 30.77 19.39

* = Weather Data Substituted from Forecast 5−km cell 168.094

============================ ================================ | Gage Monthly Total Rain: | | Gage Monthly Effective Rain: | | January 0.32 | | January 0.32 | | February 0.16 | | February 0.16 | | March 0.10 | | March 0.10 | | April 0.00 | | April 0.00 | | May 0.01 | | May 0.01 | | June 0.58 | | June 0.46 | | July 0.17 | | July 0.17 | ============================ ================================

Daily Weather Data and Reference ET Month Day Max. Min. Avg. Rel. Total Eff. Solar Hargreaves Temp Temp Wind Hum. Rain Rain Radiation Ref. ET (F) (F) (Mi/Hr) (%) (In) (In) (Mj/Sq M) (In) −−−−− −−− −−−− −−−− −−−−−−− −−−− −−−−− −−−− −−−−−−−−− −−−−−−− * July 23 94.0 69.0 11.1 51.5 0.04 0.04 19.39 0.25 July 22 104.0 61.0 2.2 31.4 0.00 0.00 30.77 0.33 * July 21 97.0 67.0 3.9 29.0 0.01 0.01 31.06 0.28 * July 20 96.0 68.0 5.0 38.0 0.01 0.01 25.21 0.27 * July 19 96.0 67.0 3.6 41.5 0.01 0.01 24.67 0.27 * July 18 93.0 66.0 2.8 44.0 0.01 0.01 26.16 0.26 * July 17 90.0 65.0 2.5 49.0 0.06 0.06 23.51 0.24 July 16 92.0 68.0 2.7 59.4 0.00 0.00 22.55 0.24 July 15 96.0 62.0 2.6 57.7 0.00 0.00 29.13 0.28 July 14 97.0 65.0 2.5 58.0 0.00 0.00 25.78 0.29 July 13 92.0 61.0 2.9 61.5 0.00 0.00 26.22 0.27 July 12 90.0 62.0 3.4 63.2 0.00 0.00 28.76 0.25 July 11 95.0 65.0 1.6 76.2 0.00 0.00 0.13 0.28 * July 10 90.0 64.0 4.0 42.5 0.00 0.00 28.57 0.25 * July 9 86.0 64.0 6.0 44.5 0.03 0.03 30.33 0.22 July 8 95.0 65.0 3.3 42.8 0.00 0.00 28.21 0.27 July 7 96.0 68.0 4.4 38.1 0.00 0.00 30.34 0.27 July 6 92.0 64.0 4.2 49.8 0.00 0.00 27.30 0.26 July 5 97.0 65.0 5.2 45.1 0.00 0.00 25.95 0.29 * July 4 95.0 65.0 6.3 27.5 0.00 0.00 28.77 0.28 July 3 96.0 65.0 3.3 29.4 0.00 0.00 24.01 0.29 * July 2 94.0 65.0 3.6 27.5 0.00 0.00 26.45 0.27 July 1 96.0 53.0 1.0 24.2 0.00 0.00 32.16 0.31 June 30 95.0 62.0 3.3 18.2 0.00 0.00 39.33 0.29 * June 29 96.0 68.0 5.2 19.5 0.00 0.00 26.51 0.28 June 28 102.0 63.0 1.6 18.8 0.00 0.00 31.64 0.33 June 27 104.0 58.0 1.4 17.5 0.00 0.00 32.49 0.35 * June 26 98.0 63.0 3.2 14.0 0.00 0.00 33.61 0.30 * June 25 93.0 63.0 4.2 19.0 0.00 0.00 32.35 0.27 * June 24 95.0 63.0 7.6 23.5 0.00 0.00 33.18 0.28 * June 23 96.0 62.0 4.9 17.5 0.00 0.00 33.44 0.29 * June 22 100.0 65.0 5.3 15.0 0.00 0.00 33.65 0.31 * June 21 96.0 63.0 3.2 21.5 0.00 0.00 33.37 0.29 * June 20 92.0 61.0 6.2 32.0 0.00 0.00 32.09 0.27 * June 19 90.0 61.0 4.8 20.5 0.00 0.00 33.37 0.26 * June 18 87.0 59.0 3.6 29.0 0.00 0.00 33.09 0.25 * June 17 82.0 60.0 4.3 42.0 0.05 0.05 31.93 0.21 * June 16 77.0 67.0 4.9 66.5 0.50 0.38 21.26 0.15 * June 15 92.0 65.0 4.8 40.0 0.03 0.03 13.66 0.26 * June 14 93.0 68.0 4.8 35.5 0.00 0.00 24.73 0.26

Aug 20, 18 8:39 Page 1/1ANG24.txtPrinted by Brower

Monday August 20, 2018 1/1

Figure 7: MRGCD Daily Weather Data

22 FIGURES 70

================================================================================================================== | | | Weather Station ANG24 mrgcd | | ESTIMATED CROP WATER USE − JUL 24, 2018 | | | | * = Weather Data Substituted from forecast 5−km cell 168.094 | | | ================================================================================================================== | | DAILY | FORECAST HARGREAVES ET | | | | | | | CROP WATER USE−(IN) | | | | 7 | 14 | | CROP START|HARGREAVES ET − JUL | JUL | JUL | JUL | JUL | JUL | JUL | JUL | TERM| SUM | DAY| DAY | | DATE|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−| DATE| ET | USE| USE | | | 20* 21* 22 23* | 24 | 25 | 26 | 27 | 28 | 29 | 30 | | | | | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | FLO2DWater 101 | 0.32 0.33 0.38 0.29 | 0.28 | 0.30 | 0.29 | 0.29 | 0.30 | 0.28 | 0.28 |1231 | 48.1 | 2.2| 4.4 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | WetSands 101 | 0.32 0.33 0.38 0.29 | 0.28 | 0.30 | 0.29 | 0.29 | 0.30 | 0.28 | 0.28 |1231 | 48.1 | 2.2| 4.4 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | CotwBosque 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Cotw/SCW 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Cotw/ROW 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Cotw/SCROW 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | SaltCW 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | SaltC/ROW 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | RusOliveW 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Willow 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Shrubland 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Grassland 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Wetland 101 | 0.32 0.33 0.38 0.29 | 0.28 | 0.30 | 0.29 | 0.29 | 0.30 | 0.28 | 0.28 |1231 | 48.1 | 2.2| 4.4 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | SparceVeg 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Cottonwood 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | DTamarisk 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | STamarisk 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | GWillow 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Acacia/Bus 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Wetland2 101 | 0.32 0.33 0.38 0.29 | 0.28 | 0.30 | 0.29 | 0.29 | 0.30 | 0.28 | 0.28 |1231 | 48.1 | 2.2| 4.4 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Grasses 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | CWillow 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | RussOlive 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | ElmTree 311 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 34.2 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | AlfalfaHay 311 | 0.26 0.27 0.31 0.24 | 0.23 | 0.25 | 0.24 | 0.24 | 0.25 | 0.23 | 0.23 | 0 | 27.5 | 1.8| 3.6 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Corn 421 | 0.31 0.32 0.38 0.29 | 0.28 | 0.30 | 0.29 | 0.29 | 0.30 | 0.28 | 0.28 | 0 | 19.1 | 2.2| 4.3 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | IrrPast 311 | 0.26 0.27 0.31 0.24 | 0.23 | 0.25 | 0.24 | 0.24 | 0.25 | 0.23 | 0.23 | 0 | 27.5 | 1.8| 3.6 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | OatsBarley 311 | 0.09 0.09 0.09 0.06 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 28.0 | 0.6| 1.6 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | VegRowGard 403 | 0.28 0.29 0.35 0.26 | 0.25 | 0.27 | 0.26 | 0.26 | 0.27 | 0.25 | 0.25 | 0 | 25.6 | 2.0| 3.9 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Trees−Fru 403 | 0.32 0.34 0.40 0.30 | 0.29 | 0.31 | 0.30 | 0.30 | 0.31 | 0.29 | 0.29 | 0 | 24.7 | 2.3| 4.5 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Trees−Nur 403 | 0.30 0.31 0.36 0.28 | 0.26 | 0.29 | 0.28 | 0.28 | 0.29 | 0.26 | 0.26 | 0 | 25.2 | 2.1| 4.2 | |−−−−−−−−−−−−−−−−−|−−−−−−−−−−−−−−−−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−−|−−−−−|−−−−−−|−−−−|−−−−−| | Yard 311 | 0.26 0.27 0.31 0.24 | 0.23 | 0.25 | 0.24 | 0.24 | 0.25 | 0.23 | 0.23 | 0 | 27.5 | 1.8| 3.6 | ================================================================================================================== | NEXRAD HRS AVAIL| 24 24 24 24 | NDFD | NDFD | NDFD | NCEP | NCEP | NCEP | NCEP | | EFFECTIVE RAIN | 0.09 0.00 0.00 0.61 | 0.16 | 0.16 | 0.16 | 0.34 | 0.18 | 0.00 | 0.00 | ========================================================================================== | NEXRAD MONTHLY TOTAL RAIN: | | NEXRAD MONTHLY EFFECTIVE RAIN: | | JANUARY 0.36 | | JANUARY 0.34 | | FEBRUARY 1.88 | | FEBRUARY 1.45 | | MARCH 0.80 | | MARCH 0.63 | | APRIL 0.02 | | APRIL 0.02 | | MAY 0.53 | | MAY 0.45 | | JUNE 0.70 | | JUNE 0.60 | | JULY 4.46 | | JULY 2.88 | ============================== ================================== (2346x1534)

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Monday August 20, 2018 1/1

Figure 8: ET Chart

22 FIGURES 71

Figure 9: Rio Grande Map - ET Toolbox

22 FIGURES 72

Figure 10: River Reach 2 - ET Toolbox

22 FIGURES 73

ET TOOLBOX CELL DETAILS

URGWOM Reach 2 (San Felipe to Alameda gage)

Vegetation classification: MRGCD Ag. & IkonUSu Rip. (MRIU) (Except open water)

1−Km cell: 2346x1534

Weather station: ANG24

* = Water use from forecast weather data 5−km cell 168.094

Note: Final values are subject to change with updated weather data, which could occur multiple times during periods of local weather station data feed instability.

Last 7 and 7 Forecast Day’s URGWOM Water Use in Acre−Feet (CFS)

Consumptive Use Forecast −−−−−−−−−−−−−−− 2018 −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− Crop Acres July July July July July July July July July July July July July July 17* 18* 19* 20* 21* 22 23* 24 25 26 27 28 29 30 −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− CotwBosque 14.2 0.3 0.4 0.4 0.4 0.4 0.5 0.4 0.3 0.4 0.4 0.4 0.4 0.3 0.3 Cotw/ROW 5.2 0.1 0.1 0.1 0.1 0.2 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 SaltCW 9.8 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.2 0.3 0.3 0.3 0.3 0.2 0.2 RusOliveW 0.8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Willow 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Shrubland 13.6 0.3 0.3 0.4 0.4 0.4 0.4 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 Grassland 7.3 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 SparceVeg 1.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 AlfalfaHay 28.6 0.6 0.6 0.6 0.6 0.6 0.7 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 Corn 2.6 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 IrrPast 26.4 0.5 0.6 0.6 0.6 0.6 0.7 0.5 0.5 0.6 0.5 0.5 0.6 0.5 0.5 Yard 0.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 FLO2DWater 24.7 0.5 0.6 0.6 0.6 0.6 0.8 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.6 WetSands 32.5 0.8 0.9 0.9 0.9 0.9 1.1 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 −−−−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− Totals 167.8 3.7 4.0 4.2 4.2 4.4 5.1 3.9 3.7 4.0 3.9 3.9 4.0 3.7 3.7 ( 1.9)( 2.0)( 2.1)( 2.1)( 2.2)( 2.6)( 2.0)( 1.9)( 2.0)( 2.0)( 2.0)( 2.0)( 1.9)( 1.9)

Agricul. 58.4 1.1 1.2 1.3 1.3 1.3 1.5 1.2 1.1 1.2 1.2 1.2 1.2 1.1 1.1 ( 0.6)( 0.6)( 0.6)( 0.6)( 0.7)( 0.8)( 0.6)( 0.6)( 0.6)( 0.6)( 0.6)( 0.6)( 0.6)( 0.6)

Riparian 52.2 1.3 1.3 1.4 1.4 1.5 1.7 1.3 1.3 1.3 1.3 1.3 1.3 1.3 1.3 ( 0.6)( 0.7)( 0.7)( 0.7)( 0.7)( 0.9)( 0.7)( 0.6)( 0.7)( 0.7)( 0.7)( 0.7)( 0.6)( 0.6)

Open Water 57.2 1.3 1.4 1.5 1.5 1.6 1.8 1.4 1.3 1.4 1.4 1.4 1.4 1.3 1.3 ( 0.7)( 0.7)( 0.8)( 0.8)( 0.8)( 0.9)( 0.7)( 0.7)( 0.7)( 0.7)( 0.7)( 0.7)( 0.7)( 0.7)

Urban 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)

NEXRAD −−−−−−−−−−−−− Effective Rain 0.0 0.0 0.0 1.3 0.0 0.0 8.5 2.2 2.2 2.2 4.8 2.5 0.0 0.0 ( 0.0)( 0.0)( 0.0)( 0.6)( 0.0)( 0.0)( 4.3)( 1.1)( 1.1)( 1.1)( 2.4)( 1.3)( 0.0)( 0.0)

URGWOM −−−−−−−−−−−−− Water Use 3.7 4.0 4.2 2.9 4.4 5.1 −4.6 1.5 1.8 1.6 −0.9 1.5 3.7 3.7 ( 1.9)( 2.0)( 2.1)( 1.5)( 2.2)( 2.6)( −2.3)( 0.8)( 0.9)( 0.8)( −0.4)( 0.7)( 1.9)( 1.9)

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Monday August 20, 2018 1/1REA2.etcrop.2346.1534.txt

Figure 11: Grid Cell Detail

22 FIGURES 74

Albuquerque Water Operations | UC Region | Bureau of Reclamation

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Upper Colorado RegionEncompassing all or parts of Arizona, Colorado, Idaho, Nevada, New Mexico, Texas,Utah and Wyoming

ET Summary Products (To-Date)Reach 2

OPTIONS:

Table

Plot of last 14 and 7 forecast days - Total, Agriculture, Riparian,Open Water, and Urban - also Rain

Plot of last 14 and 7 forecast days - Total and Running Averages -also Stream gage

Click on red for Daily Agricultural ET Rates - Total 4165 Acres fromthe 2017 MRGCD Crop Reports (MRIU)

Crop Acres Crop Acres Crop Acres Crop Acre

Alfalfa/Hay 1615 Corn 154 IrrigatedPasture 1901 Trees-

Fruit 102

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Figure 12: ET Summary Products Menu - Reach 2

22 FIGURES 75

ET TOOLBOX REACH SUMMARY

Summary for: URGWOM Reach 2 (San Felipe to Alameda gage)

Vegetation classification: MRGCD Ag. & IkonUSu Rip. (MRIU) (Except open water)

ET TOOLBOX classes (ag. + rip. + open water + urb.): 8601.3 acres

(Daily URGWOM Water Use = Daily Consumptive Use Total − Rain)

* = Some or all water use from forecast weather data

Note: Final values are subject to change with updated weather data, which could occur multiple times during periods of local weather station data feed instability.

−−−−−−−−−−−−−−− Daily Consumptive Use −−−−−−−−−−−−−−− Daily −−−−− Daily URGWOM Water Use −−−− Total URGWOM Water 2018 F Total Agriculture Riparian Open Water Urban Eff. Rain Total 5−Day Avg. 10−Day Avg. Use To−Date Since Month Day M CFS CFS CFS CFS CFS CFS CFS CFS CFS Jan. 1, 2018 AC−FT −−−−− −−− − −−−−−− −−−−−−−−−−− −−−−−−−− −−−−−−−−−− −−−−−− −−−−− −−−−−−− −−−−−−−−−− −−−−−−−−−−− −−−−−−−−−−−−−−−−−−− July 30 F 96.3 42.3 35.1 19.0 0.0 0.0 96.3 51.0 50.4 22436.5 July 29 F 98.0 43.3 35.4 19.2 0.0 0.0 98.0 41.5 48.5 22245.7 July 28 F 103.6 45.8 37.5 20.3 0.0 65.2 38.4 29.9 49.6 22051.7 July 27 F 99.9 44.0 36.3 19.7 0.0 123.1 −23.2 5.2 56.3 21975.6 July 26 F 99.9 44.0 36.3 19.7 0.0 54.5 45.4 36.3 69.1 22021.6 July 25 F 103.6 45.8 37.5 20.3 0.0 54.5 49.0 49.9 66.4 21931.7 July 24 F 92.8 39.9 34.5 18.5 0.0 52.8 40.0 55.5 72.8 21834.6 July 23 * 101.6 45.1 36.6 19.9 0.0 187.0 −85.4 69.3 65.3 21755.4 July 22 132.4 57.7 48.6 26.1 0.0 0.0 132.4 107.5 83.7 21924.4 July 21 * 113.3 49.4 41.4 22.5 0.0 0.0 113.3 101.9 74.4 21662.2 July 20 * 109.9 48.6 39.4 21.9 0.0 33.0 76.9 83.0 68.9 21437.8 July 19 * 109.9 48.6 39.4 21.9 0.0 0.5 109.4 90.1 71.8 21285.5 July 18 * 105.9 46.9 38.2 20.8 0.0 0.4 105.5 61.3 70.9 21068.9 July 17 * 104.5 46.9 37.2 20.4 0.0 0.0 104.5 59.8 65.6 20860.1 July 16 100.0 44.5 35.8 19.7 0.0 81.3 18.6 46.9 66.4 20653.2 July 15 113.3 49.4 41.4 22.5 0.0 0.9 112.4 54.8 74.6 20616.3 July 14 115.3 50.1 42.3 23.0 0.0 149.9 −34.6 53.6 56.8 20393.7 July 13 108.2 47.5 39.1 21.6 0.0 10.0 98.2 80.5 72.1 20462.2 July 12 104.4 46.2 37.3 20.8 0.0 64.3 40.0 71.4 74.2 20267.7 July 11 115.3 50.6 41.8 23.0 0.0 57.6 57.8 85.9 82.1 20188.4 July 10 * 107.0 47.5 38.0 21.5 0.0 0.6 106.4 94.5 89.0 20074.1 July 9 * 100.0 45.6 34.6 19.8 0.0 0.0 100.0 59.9 90.1 19863.4 July 8 114.3 51.0 40.4 22.9 0.0 61.8 52.5 63.8 91.5 19665.4 July 7 112.6 49.9 40.1 22.6 0.0 0.0 112.6 77.1 100.0 19561.3 July 6 * 100.8 43.6 36.8 20.5 0.0 0.0 100.8 78.3 101.8 19338.3 July 5 115.3 49.9 42.0 23.4 0.0 181.6 −66.3 83.5 104.8 19138.7 July 4 * 119.1 52.8 42.8 23.5 0.0 0.0 119.1 120.3 122.4 19269.9 July 3 119.4 52.3 43.0 24.1 0.0 0.0 119.4 119.2 122.1 19034.1 July 2 * 118.3 53.3 41.5 23.6 0.0 0.0 118.3 122.8 122.0 18797.6 July 1 126.7 55.3 45.7 25.7 0.0 0.0 126.7 125.4 122.7 18563.4 June 30 117.7 51.2 42.7 23.9 0.0 0.0 117.7 126.1 121.6 18312.5 June 29 * 113.9 49.4 41.4 23.2 0.0 0.0 113.9 124.6 120.9 18079.4 June 28 137.2 60.0 49.3 27.9 0.0 0.0 137.2 125.0 120.0 17853.8 June 27 143.1 62.3 51.7 29.1 0.0 11.7 131.4 121.2 116.4 17582.2 June 26 * 130.1 58.0 45.9 26.3 0.0 0.0 130.1 119.9 110.9 17322.0 June 25 * 110.5 48.5 39.4 22.6 0.0 0.0 110.5 117.2 93.5 17064.4 June 24 * 115.9 50.4 41.8 23.7 0.0 0.0 115.9 117.2 92.9 16845.7 | | | | | | Jan. 6 * 5.5 0.0 0.0 5.5 0.0 0.0 5.5 5.3 3.2 62.4 Jan. 5 * 6.2 0.0 0.0 6.2 0.0 0.0 6.2 5.2 2.6 51.5 Jan. 4 * 5.6 0.0 0.0 5.6 0.0 −0.0 5.6 4.0 2.0 39.1 Jan. 3 * 4.7 0.0 0.0 4.7 0.0 0.0 4.7 2.8 1.4 28.1 Jan. 2 * 4.4 0.0 0.0 4.4 0.0 0.0 4.4 1.9 1.0 18.9 Jan. 1 * 5.1 0.0 0.0 5.1 0.0 0.0 5.1 1.0 0.5 10.2

Irrigated Ag acreage = 4164.5 Riparian acreage = 2848.4 Open Water acreage = 1588.4 (daily variable) Urban acreage = 0.0 Total (ag. + rip. + open water + urb.) = 8601.3 acres Fallow acreage = 0.0 Idle acreage = 0.0

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Figure 13: Reach 2 Summary

22 FIGURES 76

Figure 14: Reach 2 Daily Consumptive Use And Rainfall

22 FIGURES 77

Figure 15: Reach 2 Daily Consumptive Use With Running Averages

22 FIGURES 78

URGWOM Reach 2 (San Felipe to Alameda gage) −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− Daily ET Rates for AlfalfaHay Today is: July 24, 2018 −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− Vegetation Classification: MRGCD Ag. & IkonUSu Rip. (MRIU) Class Number: 401 Number of 1x1 km cells = 123 Number with AlfalfaHay = 76 Weather station(s) used: 1) ANG24 Weather Station ANG24 168.094 2) CSB24 Weather Station CSB24 167.092 Plant and Terminate Dates, Hargreaves Reference (Ref.) ET, and Crop Coef. are averaged from above weather station(s) Crop ET = Ref. ET x Crop Coef. * = Some or all ET from forecast weather data Total Water Use = Sum of cell water use NEXRAD Rain = Sum of (cell effective rain x cell crop acres/12) URGWOM Water Use = Total Water Use − NEXRAD Rain −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− Acres: 1615 Plant Date: Mar. 11 Termination Date:

Month Day Ref. Crop Crop Total NEXRAD URGWOM (2018) ET Coef. ET Water Use Rain Water Use (IN) (IN) (AC−FT) (AC−FT) (AC−FT) −−−−− −−− −−−− −−−− −−−− −−−−−−−−− −−−−−−− −−−−−−−−− Mar. 11 0.09 0.40 0.04 5.35 55.98 −50.63 Mar. 12 0.09 0.40 0.04 5.35 0.00 5.35 * Mar. 13 0.13 0.40 0.05 7.49 0.00 7.49 * Mar. 14 0.13 0.40 0.05 6.73 0.00 6.73 Mar. 15 0.13 0.40 0.05 7.49 0.03 7.46 | | | | June 1 0.32 0.95 0.30 40.56 0.00 40.56 June 2 0.31 0.95 0.30 39.95 0.00 39.95 * June 3 0.20 0.95 0.19 26.10 27.28 −1.18 * June 4 0.29 0.95 0.28 36.93 0.00 36.93 June 5 0.32 0.95 0.31 41.12 0.00 41.12 | | | | June 30 0.30 0.95 0.28 38.42 0.00 38.42 −−−−−− −−−− −−−−− −−−−−− −−−−−−−− June Totals 8.89 8.44 1136.84 73.28 1063.56

July 1 0.32 0.95 0.31 41.33 0.00 41.33 * July 2 0.31 0.95 0.29 39.56 0.00 39.56 July 3 0.31 0.95 0.29 39.19 0.00 39.19 * July 4 0.31 0.95 0.29 39.39 0.01 39.38 July 5 0.29 0.95 0.28 37.67 61.44 −23.77 * July 6 0.25 0.95 0.24 32.93 0.00 32.93 July 7 0.29 0.95 0.28 37.26 0.00 37.26 July 8 0.30 0.95 0.28 38.03 23.62 14.41 * July 9 0.26 0.95 0.25 33.62 0.00 33.62 * July 10 0.28 0.95 0.26 35.34 0.18 35.16 July 11 0.30 0.95 0.28 37.86 21.69 16.17 July 12 0.26 0.95 0.25 34.60 24.33 10.27 July 13 0.28 0.95 0.26 35.77 3.44 32.33 July 14 0.30 0.95 0.28 37.67 57.04 −19.37 July 15 0.29 0.95 0.28 37.11 0.55 36.56 July 16 0.25 0.95 0.24 33.26 31.21 2.05 * July 17 0.27 0.95 0.26 34.78 0.00 34.78 * July 18 0.27 0.95 0.26 35.21 0.01 35.20 * July 19 0.28 0.95 0.27 36.51 0.09 36.42 * July 20 0.28 0.95 0.27 36.51 10.31 26.20 * July 21 0.29 0.95 0.28 37.11 0.00 37.11 July 22 0.34 0.95 0.32 43.23 0.00 43.23 * July 23 0.26 0.95 0.25 33.82 67.82 −34.00 −−−−−− −−−− −−−−− −−−−−− −−−−−−−− July Totals 6.57 6.24 847.76 301.76 546.00

−−−−−− −−−− −−−−− −−−−−− −−−−−−−− Total To−Date 32.44 28.70 3890.37 525.43 3364.94

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Figure 16: Daily ET Rates

22 FIGURES 79

Figure 17: Reach 2 URGWOM ET

22 FIGURES 80

Angostura, NM − MRGCD ANG60

Last 24 Hours Weather Data − 2018 − These are tabulated raw data from MRGCD

Month Day Time Temp. Wind Wind Rel. Total Solar Baro. Soil Soil Soil Dir. Hum. Rain Radiation Pres. Temp. Moist.8" Moist.20" (MST) (F) (Mi/Hr) (Deg) (%) (in) (Mj/Sq m) (kPa) (F) (%) (%) −−−−− −−− −−−− −−−−− −−−−−−− −−−−− −−−− −−−− −−−−−−−−− −−−−− −−−−− −−−−−−−− −−−−−−−−− July 23 2300 67.9 3.9 95 79 0.00 0.00 85.3 88.5 4.3 4.1 July 23 2400 70.2 7.5 98 64 0.00 0.00 85.3 86.2 4.3 4.1 July 24 100 70.3 3.1 88 63 0.00 0.00 85.3 83.9 4.3 4.1 July 24 200 68.2 1.5 122 72 0.00 0.00 85.3 82.1 4.3 4.1 July 24 300 67.4 1.1 88 74 0.00 0.00 85.3 80.8 4.4 4.1 July 24 400 67.2 0.9 113 73 0.00 0.00 85.3 79.7 4.4 4.1 July 24 559 67.0 0.5 106 73 0.00 0.00 85.3 78.6 4.4 4.1 July 24 600 67.4 0.9 162 73 0.00 1.55 85.3 77.8 4.5 4.0 July 24 700 70.2 0.7 101 70 0.00 17.79 85.4 77.1 4.5 4.0 July 24 800 75.4 0.8 160 62 0.00 41.87 85.4 77.0 4.5 4.0 July 24 900 75.1 0.8 90 61 0.00 33.80 85.4 77.7 4.5 4.0 July 24 900 75.1 0.8 90 61 0.00 33.80 85.4 77.7 4.5 4.0 July 24 1100 82.7 1.1 93 46 0.00 79.48 85.3 81.0 4.6 4.0 July 24 1100 82.7 1.1 93 46 0.00 79.48 85.3 81.0 4.6 4.0 July 24 1100 82.7 1.1 93 46 0.00 79.48 85.3 81.0 4.6 4.0 July 24 1100 82.7 1.1 93 46 0.00 79.48 85.3 81.0 4.6 4.0 July 24 1100 82.7 1.1 93 46 0.00 79.48 85.3 81.0 4.6 4.0 July 24 1100 82.7 1.1 93 46 0.00 79.48 85.3 81.0 4.6 4.0 July 24 1100 82.7 1.1 93 46 0.00 79.48 85.3 81.0 4.6 4.0 July 24 1500 93.4 1.2 178 26 0.00 70.13 84.9 93.4 4.8 4.0 July 24 1600 94.6 1.3 169 26 0.00 56.60 84.8 95.6 4.9 4.0 July 24 1600 94.6 1.3 169 26 0.00 56.60 84.8 95.6 4.9 4.0 July 24 1600 94.6 1.3 169 26 0.00 56.60 84.8 95.6 4.9 4.0 July 24 1800 92.5 0.6 79 31 0.00 18.58 84.8 96.7 4.9 4.0

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Figure 18: MRGCD Hourly Weather Data

22 FIGURES 81

Figure 19: 5-km NDFD Grid For Reach 2

22 FIGURES 82

Figure 20: New Mexico, Texas, and Oklahoma Radar Coverage

22 FIGURES 83

subroutine effprecip(P,Q,Eff)cc Routine to calculate Hawkins (Westfall) eff. precip.c See code around line 183 for the equation. Currently using cropc number 90 resulting in an initial abstraction = .075 c The equation was extracted from the Excel spreedsheet attached to c Kenneth Richardi’s Jan. 17, 2018 e−mail as forwarded from Brisnc Westfall.c real CN,x,S,a,Ia,P,Q1,Q2,Q real J1,J2,J3,J4 real Eff

c Find effective precip. where:c P = rainfall (in)c Q = runoff (in)c CN = curve numberc x = power factorc S = Potential max. retention after runoff begins (in)c Ia = initial abstraction (in)c Eff = effective rainfall (in)

Q=0.0 Eff=0.0 CN=90 x=1.15 S=1.33*((1000/CN)−10)**x Ia=0.05*S

c print*,"in ettprecip.f b",P,Q,Eff,CN,x,S,Iac Hawkins method − If precip. P is <= Ia, then all is effective

if(P .gt. Ia) then J1=90 J2=(1.33*(1000/J1−10)**x) J2=1.15 J3=.06 J4=.05 Q=(P−J3*J2)**2/(P+(1−J4)*J2) Eff=P−Q else Eff=P endifc print*,"in ettprecip.f a",P,Q,Eff,CN,x,S,Ia return end

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Figure 21: Effective Rain Program

22 FIGURES 84

REACH: REA2 2018 Hawkins (2002) NEXRAD Effective Rain Using: Crop Number (CN) = 90, S = 1.5, Ia = 0.05S = 0.075 USBR Effective = Percent of Total Rain All values inches and are daily averages of all cells in the reach.

NEXRAD Hawkins Hawkins USBR Total Runoff Effective Effective Date Rain Q Rain Rain −−−−−−− −−−−− −−−−−−− −−−−−−−−− −−−−−−−− Dec. 31 0.00 0.00 0.00 0.00 Jan. 1 0.00 0.00 0.00 0.00 Jan. 2 0.00 0.00 0.00 0.00 Jan. 3 0.00 0.00 0.00 0.00 Jan. 4 0.00 0.00 0.00 0.00 Jan. 5 0.00 0.00 0.00 0.00 Jan. 6 0.00 0.00 0.00 0.00 Jan. 7 0.00 0.00 0.00 0.00 Jan. 8 0.00 0.00 0.00 0.00 Jan. 9 0.00 0.00 0.00 0.00 Jan. 10 0.16 0.01 0.15 0.16 Jan. 11 0.00 0.00 0.00 0.00 Jan. 12 0.00 0.00 0.00 0.00 | | | | | Feb. 9 0.00 0.00 0.00 0.00 Feb. 10 0.00 0.00 0.00 0.00 Feb. 11 0.00 0.00 0.00 0.00 Feb. 12 0.00 0.00 0.00 0.00 Feb. 13 0.00 0.00 0.00 0.00 Feb. 14 0.47 0.11 0.37 0.46 Feb. 15 0.66 0.22 0.45 0.63 Feb. 16 0.00 0.00 0.00 0.00 | | | | | June 29 0.00 0.00 0.00 0.00 June 30 0.00 0.00 0.00 0.00 July 1 0.00 0.00 0.00 0.00 July 2 0.00 0.00 0.00 0.00 July 3 0.00 0.00 0.00 0.00 July 4 0.00 0.00 0.00 0.00 July 5 0.82 0.33 0.48 0.76 July 6 0.00 0.00 0.00 0.00 July 7 0.00 0.00 0.00 0.00 July 8 0.15 0.02 0.13 0.15 July 9 0.00 0.00 0.00 0.00 July 10 0.01 0.00 0.01 0.01 July 11 0.17 0.03 0.14 0.17 July 12 0.20 0.02 0.18 0.20 July 13 0.02 0.00 0.02 0.02 July 14 0.59 0.18 0.41 0.57 July 15 0.01 0.00 0.01 0.01 July 16 0.24 0.03 0.21 0.24 July 17 0.00 0.00 0.00 0.00 July 18 0.00 0.00 0.00 0.00 July 19 0.01 0.00 0.01 0.01 July 20 0.08 0.01 0.07 0.08 July 21 0.00 0.00 0.00 0.00 July 22 0.00 0.00 0.00 0.00 July 23 0.86 0.35 0.51 0.79

Number of cells in this reach = 163

Aug 22, 18 15:52 Page 1/1REA2.qpeEff.txt

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Wednesday August 22, 2018 1/1REA2.qpeEff.txt

Figure 22: Effective Rain Comparisions

22 FIGURES 85

subroutine refhgcc 1985 Hargreaves equation for reference et (ETo).c This was provided to Al Brower on Aug. 4, 2010 c from Brian Westfall of Keller−Bliesner Engineering, LLC.c This is based on a grass reference.ccc List of Input Valuescc Name Units Descriptionc −−−−−− −−−−−−−−−−−−−−−−−− −−−−−−−−−−−−−−−−−−−−−−−−−c lat decimal deg. latitudec xjuday julian datec tmax deg.C maximum temperaturec tmin deg.C minimum temperaturec include ’refet.common’ real latradcc Initalizec tavg=(tmax+tmin)/2. pi=3.1416 gsc=0.0820cc Get extraterrestrial radiation rac latrad=pi/180.*lat dr=1.0+(0.033*cos(2.*pi/365.*xjuday)) sd=0.409*sin(2.*pi/365.*xjuday−1.39) sra=acos(−tan(latrad)*tan(sd)) ra=(24.*60./pi)*gsc*dr*(sra*sin(latrad)*sin(sd) + cos(latrad)* 2 cos(sd)*sin(sra)) ra=ra/2.45cc Get ret (mm/day)c ret=0.0 tr=tmax−tmin t=(tr)**(0.5) ret = .0023 * t * (tavg+17.8) * ra if(tr .lt. 0.0)ret=0.0cc Find reference et (in/day)c 20 value = ret*.03937cc Print values if debug is True, as set in parameter file.c

Nov 17, 14 12:53 Page 1/2Hargreavesequation.tex if(debug)then write(status,*)’ Hargreaves:’ write(status,*)’ lat=’,lat write(status,*)’ tmax=’,tmax write(status,*)’ tmin=’,tmin write(status,*)’ tavg=’,tavg write(status,*)’ pi=’,pi write(status,*)’ gsc=’,gsc write(status,*)’ latrad=’,latrad write(status,*)’ xjuday=’,xjuday write(status,*)’ dr=’,dr write(status,*)’ sd=’,sd write(status,*)’ sra=’,sra write(status,*)’ ra=’,ra write(status,*)’ tr=’,tr write(status,*)’ t=’,t write(status,*)’ ret=’,ret write(status,*)’ value=’,value endif return end

Nov 17, 14 12:53 Page 2/2Hargreavesequation.tex

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Figure 23: Hargreaves-Samani Reference ET Equation

22 FIGURES 86

Figure 24: Open Water Curve # 1

Crop coefficients Kc are based on Development Stages with Temp. in deg. F. and Lengths L in days

Calculated Open Water Evaporation Coefficients by Month and Reservoir

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

--- --- --- --- --- --- --- --- --- --- --- ---

El Vado 0.9 0.9 0.9 0.8 0.8 0.8 0.8

Abiquiu 1.2 1.2 1.1 1.0 1.0 1.0 1.2

Cochiti 1.3 1.2 1.2 1.1 1.1 1.2 1.3

Elephant Butte 1.3 1.3 1.6 1.6 1.6 1.4 1.3 1.2 1,3 1.4 1.5 1.3

Caballo 1.4 1.2 1.4 1.3 1.3 1.2 1.2 1.1 1.1 1.3 1.3 1.3

Notes: 1. Above from Jesse Roach of Sandia National Laboratories on March 13, 2012

Subject - Evaporation Calculations in the Upper Rio Grande Simulation

Model (URGSiM), page 20, table 2, March 13, 2012, draft.

Calculated from temperature and pan evaporation data measured

at five reservoirs in New Mexico between 1975 and 2006.

2. ET Toolbox uses monthly avegages of Cociti and Elephant Butte, with the

April value for Jan - Mar, and the Oct value for Nov and Dec:

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ----

1.45 1.45 1.45 1.45 1.40 1.30 1.20 1.15 1.25 1.35 1.35 1.35

22 FIGURES 87

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ALFALFA

APPLES

BARLEY

CORN

COTTON

FAMGARD

GRAPES

MELONS

MFRUIT

NURSERY

OATS

OTHER HAY

PASTURE

Figure 25: URGWOM Crop Curves

22 FIGURES 88

Figure 26: Rio Chama - ET Toolbox

22 FIGURES 89

Figure 27: River Reach 8 - ET Toolbox

22 FIGURES 90

Albuquerque Water Operations | UC Region | Bureau of Reclamation

https://www.usbr.gov/uc/albuq/water/ETtoolbox/rg/rch8/ElBtRsEvap.html[8/24/2018 8:23:22 AM]

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Upper Colorado RegionEncompassing all or parts of Arizona, Colorado, Idaho, Nevada, New Mexico, Texas,Utah and Wyoming

Elephant Butte Reservoir Evaporation SummaryProducts (To-Date)

OPTIONS:

Last 7 and 7 Forecast Day's Evaporation

Daily Evaporation Rates

Plot of Elephant Butte Open Water Evaporation & Acres (year-to-date)

Historic Data

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Last Updated: 10/26/17

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Figure 28: Elephant Butte Reservoir Evaporation Menu

22 FIGURES 91

ET TOOLBOX CELL DETAILS

URGWOM Reach 8 (San Marcial to Elephant Butte)

Vegetation classification: MRGCD Ag. & IkonUSu Rip. (MRIU) (Except open water)

1−Km cell: 2292x1355

Weather station: NDFD Forecast 5−km cell 154.055

Note: Final values are subject to change with updated weather data, which could occur multiple times during periods of local weather station data feed instability.

Last 7 and 7 Forecast Day’s URGWOM Water Use in Acre−Feet (CFS)

Consumptive Use Forecast −−−−−−−−−−−−−−− 2018 −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− Crop Acres Aug. Aug. Aug. Aug. Aug. Aug. Aug. Aug. Aug. Aug. Aug. Aug. Aug. Aug. 17 18 19 20 21 22 23 24 25 26 27 28 29 30 −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− ElephWater 5067.0 121.5 124.9 132.4 122.3 120.8 110.9 109.8 101.3 109.8 114.0 114.0 118.2 114.0 122.4 −−−−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− −−−− Totals 5067.0 121.5 124.9 132.4 122.3 120.8 110.9 109.8 101.3 109.8 114.0 114.0 118.2 114.0 122.4 ( 61.4)( 63.1)( 66.9)( 61.8)( 61.0)( 56.0)( 55.4)( 51.2)( 55.4)( 57.6)( 57.6)( 59.7)( 57.6)( 61.8)

Agricul. 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)

Riparian 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)

Open Water 5067.0 121.5 124.9 132.4 122.3 120.8 110.9 109.8 101.3 109.8 114.0 114.0 118.2 114.0 122.4 ( 61.4)( 63.1)( 66.9)( 61.8)( 61.0)( 56.0)( 55.4)( 51.2)( 55.4)( 57.6)( 57.6)( 59.7)( 57.6)( 61.8)

Urban 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)( 0.0)

NEXRAD −−−−−−−−−−−−− Effective Rain 29.6 92.9 0.0 0.0 4.2 236.5 80.2 50.7 33.8 33.8 76.0 0.0 0.0 0.0 ( 14.9)( 46.9)( 0.0)( 0.0)( 2.1)(119.4)( 40.5)( 25.6)( 17.1)( 17.1)( 38.4)( 0.0)( 0.0)( 0.0)

URGWOM −−−−−−−−−−−−− Water Use 91.9 32.0 132.4 122.3 116.6 −125.6 29.6 50.7 76.0 80.2 38.0 118.2 114.0 122.4 ( 46.4)( 16.1)( 66.9)( 61.8)( 58.9)(−63.4)( 14.9)( 25.6)( 38.4)( 40.5)( 19.2)( 59.7)( 57.6)( 61.8)

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Friday August 24, 2018 1/1

Figure 29: Elephant Butte Detail

22 FIGURES 92

URGWOM Reach 8 (San Marcial to Elephant Butte) −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− Daily Evap. Rates for ElephWater Today is: Aug. 24, 2018 −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− Vegetation Classification: Open Water Class Number: 91 Number of 1x1 km cells = 96 Number with ElephWater = 1 Weather station(s) used: 1) 156058 NDFD Forecast 5−km cell 156.058 2) 156057 NDFD Forecast 5−km cell 156.057 3) 156056 NDFD Forecast 5−km cell 156.056 4) 155056 NDFD Forecast 5−km cell 155.056 5) 155055 NDFD Forecast 5−km cell 155.055 6) 155054 NDFD Forecast 5−km cell 155.054 7) 154056 NDFD Forecast 5−km cell 154.056 8) 154055 NDFD Forecast 5−km cell 154.055 9) 154054 NDFD Forecast 5−km cell 154.054 10) 154053 NDFD Forecast 5−km cell 154.053 11) 153054 NDFD Forecast 5−km cell 153.054 12) 153053 NDFD Forecast 5−km cell 153.053 Plant and Terminate Dates, Hargreaves Reference (Ref.) ET, and Open Water (OW) Coef. are averaged from above weather station(s) Open Water (OW) Evap. = Ref. ET x Open Water Coef. * = Some or all ET from forecast weather data Total Water Use = Sum of cell water use NEXRAD Rain = Sum of (cell effective rain x cell open water acres/12) URGWOM Water Use = Total Water Use − NEXRAD Rain −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− Acres: 5067 Plant Date: Jan. 1 Termination Date: Dec. 31

Month Day Ref. OW OW Total NEXRAD URGWOM Acres (2018) ET Coef. Evap. Water Use Rain Water Use (IN) (IN) (AC−FT) (AC−FT) (AC−FT) −−−−− −−− −−−− −−−− −−−− −−−−−−−−− −−−−−−− −−−−−−−−− −−−−−− Jan. 1 0.06 1.45 0.09 90.08 0.00 90.08 12010.00 Jan. 2 0.06 1.45 0.09 90.19 0.00 90.19 12025.00 | | | | July 28 0.24 1.15 0.28 147.58 0.00 147.58 6325.00 July 29 0.26 1.15 0.29 151.69 0.00 151.69 6277.00 July 30 0.24 1.15 0.28 145.25 4.22 141.03 6225.00 July 31 0.23 1.15 0.26 128.71 0.00 128.71 6178.00 −−−−−− −−−− −−−−− −−−−−− −−−−−−−− July Totals 7.77 9.12 5418.03 1068.29 4349.74

Aug. 1 0.24 1.15 0.28 142.96 0.00 142.96 6127.00 Aug. 2 0.25 1.16 0.29 147.34 0.00 147.34 6097.00 Aug. 3 0.24 1.16 0.28 141.82 80.23 61.59 6078.00 Aug. 4 0.26 1.16 0.30 150.85 0.00 150.85 6034.00 Aug. 5 0.26 1.17 0.30 149.57 135.12 14.45 5983.00 Aug. 6 0.25 1.17 0.30 143.26 0.00 143.26 5928.00 Aug. 7 0.25 1.17 0.29 142.17 0.00 142.17 5883.00 Aug. 8 0.25 1.18 0.30 141.08 4.22 136.86 5838.00 Aug. 9 0.22 1.18 0.26 125.45 8.44 117.00 5790.00 Aug. 10 0.20 1.18 0.23 105.36 54.89 50.47 5747.00 Aug. 11 0.21 1.19 0.25 114.02 46.45 67.57 5701.00 Aug. 12 0.22 1.19 0.26 122.55 0.00 122.55 5656.00 Aug. 13 0.24 1.19 0.29 135.60 0.00 135.60 5611.00 Aug. 14 0.24 1.20 0.29 134.49 0.00 134.49 5565.00 Aug. 15 0.24 1.20 0.29 133.21 29.56 103.65 5512.00 Aug. 16 0.23 1.20 0.28 127.24 33.78 93.46 5453.00 Aug. 17 0.22 1.20 0.27 121.50 29.56 91.94 5400.00 Aug. 18 0.23 1.21 0.28 124.86 92.89 31.97 5351.00 Aug. 19 0.25 1.21 0.30 132.40 0.00 132.40 5296.00 Aug. 20 0.23 1.21 0.28 122.31 0.00 122.31 5242.00 Aug. 21 0.23 1.22 0.28 120.84 4.22 116.62 5179.00 Aug. 22 0.22 1.22 0.26 110.91 236.46 −125.55 5119.00 Aug. 23 0.21 1.22 0.26 109.78 80.23 29.55 5067.00 −−−−−− −−−− −−−−− −−−−−− −−−−−−−− Aug. Totals 5.39 6.40 2999.57 836.05 2163.51

−−−−−− −−−− −−−−− −−−−−− −−−−−−−− Total To−Date 44.57 58.36 48189.56 3014.86 45174.70

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Figure 30: Elephant Butte Daily Evaporation Rates

22 FIGURES 93

Figure 31: Elephant Butte Plot

22 FIGURES 94

Gage Information − TOTPS − Total NCPPS NBYPS SBYPS FCRPS Pump Sta.

Year 2018

Month Day Time NCPPS NBYPS SBYPS FCRPS TOTAL DAAVG NCPyr NBYyr SBYyr FCRyr Year (mst) QR (cfs) QR (cfs) QR (cfs) QR (cfs) QR (cfs) QR (cfs) (acft) (acft) (acft) (acft) (acft) −−−−− −−− −−−− −−−−−−−− −−−−−−−− −−−−−−−− −−−−−−−− −−−−−−−− −−−−−−−− −−−−−−−− −−−−−−−− −−−−−−−− −−−−−−−− −−−−−−−− Aug 31 1030 0 0 39 0 39 37 0 1094 7882 0 8977 Aug 31 1000 0 0 39 0 39 Aug 31 930 0 0 39 0 39 Aug 31 900 0 0 39 0 39 Aug 31 830 0 0 39 0 39 Aug 31 800 0 0 39 0 39 Aug 31 730 0 0 39 0 39 Aug 31 700 0 0 24 0 24 Aug 31 630 0 0 37 0 37 Aug 31 600 0 0 37 0 37 Aug 31 530 0 0 37 0 37 Aug 31 500 0 0 37 0 37 Aug 31 430 0 0 37 0 37 Aug 31 400 0 0 37 0 37 Aug 31 330 0 0 37 0 37 Aug 31 300 0 0 37 0 37 Aug 31 230 0 0 41 0 41 Aug 31 200 0 0 37 0 37 Aug 31 130 0 0 37 0 37 Aug 31 100 0 0 37 0 37 Aug 31 30 0 0 37 0 37 Aug 31 0 0 0 37 0 37 Aug 30 2330 0 0 37 0 37 38 0 1094 7809 0 8904 Aug 30 2300 0 0 37 0 37 Aug 30 2230 0 0 37 0 37 Aug 30 2200 0 0 37 0 37 Aug 30 2130 0 0 37 0 37 Aug 30 2100 0 0 42 0 42 Aug 30 2030 0 0 41 0 41 Aug 30 2000 0 0 38 0 38 Aug 30 1930 0 0 44 0 44 Aug 30 1900 0 0 38 0 38 Aug 30 1830 0 0 38 0 38 Aug 30 1800 0 0 38 0 38 Aug 30 1730 0 0 38 0 38 Aug 30 1700 0 0 38 0 38 Aug 30 1630 0 0 37 0 37

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Friday August 31, 2018 1/1TOTPS.gage.txt

Figure 32: Total Pumping Stations

22 FIGURES 95

Figure 33: Cochiti Division Schematic

22 FIGURES 96

Figure 34: Albuquerque Division Schematic

22 FIGURES 97

Figure 35: Belen Division Schematic

22 FIGURES 98

Figure 36: Socorro Division Schematic

22 FIGURES 99

Figure 37: Rio Grande Schematic

22 FIGURES 100

Figure 38: MRG/SJC Operations Schematic

22 FIGURES 101

Figure 39: Socorro Main Canal Gage Heading

22 FIGURES 102

Gage Information − SOCCN − SOCORRO MAIN CANAL FLOW IN SOCORRO MAIN CANAL NORTH, SUPPLY TO SOCORRO DIVISION Year 2018

Month Day Time Height Discharge (mst) (HG ft) (QR cfs) −−−−− −−− −−−− −−−−−− −−−−−−−−− Aug 23 1700 4.17 216 Aug 23 1630 4.18 217 Aug 23 1600 4.22 221 Aug 23 1530 4.25 223 Aug 23 1500 4.26 224 Aug 23 1430 4.26 224 Aug 23 1400 4.26 224 Aug 23 1330 4.19 218 Aug 23 1300 4.21 219 Aug 23 1230 4.17 216 Aug 23 1200 4.14 213 Aug 23 1130 2.98 118 Aug 23 1100 4.06 206 Aug 23 1030 4.05 204 Aug 23 1000 4.03 203 Aug 23 930 4.01 201 Aug 23 900 4.02 202 Aug 23 830 4.03 203 Aug 23 800 3.98 198 Aug 23 730 4.01 201 Aug 23 700 4.00 201 Aug 23 630 4.06 205 Aug 23 600 4.04 204 Aug 23 530 4.04 204 Aug 23 500 3.83 185 Aug 23 430 3.84 187 Aug 23 400 3.86 188 Aug 23 330 3.83 185 Aug 23 300 3.79 182 Aug 23 230 3.77 181 Aug 23 200 3.78 181 Aug 23 130 3.81 184 Aug 23 100 3.91 192 Aug 23 30 3.92 193 Aug 23 0 3.95 196 Aug 22 2330 3.96 197 Aug 22 2300 4.13 212 Aug 22 2230 4.23 221 Aug 22 2200 4.24 222 Aug 22 2130 4.26 225 Aug 22 2100 4.27 225 Aug 22 2030 4.29 227 Aug 22 2000 4.31 229 Aug 22 1930 4.30 227 Aug 22 1900 4.32 230 Aug 22 1830 4.31 229 Aug 22 1800 4.32 230 Aug 22 1730 4.33 231 Aug 22 1700 4.33 231 Aug 22 1630 4.33 231 Aug 22 1600 4.30 228 Aug 22 1530 4.28 226 Aug 22 1500 4.29 227 Aug 22 1430 4.28 226 Aug 22 1400 4.24 222 Aug 22 1330 4.24 222 Aug 22 1300 4.20 218 Aug 22 1230 4.24 222 Aug 22 1200 4.24 222

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Figure 40: Socorro Main Canal Heading

22 FIGURES 103

Figure 41: Cochiti Lake

22 FIGURES 104

Gage Information − COCN5 − COCHITI LAKE Year 2018

Month Day Time Storage Elevation (mst) (LS ac−ft) (HP ft) −−−−− −−− −−−− −−−−−−− −−−−−−−−− Aug 23 1630 45695 5342.59 Aug 23 1600 45695 5342.59 Aug 23 1530 45695 5342.59 Aug 23 1500 45695 5342.59 Aug 23 1430 45684 5342.58 Aug 23 1400 45684 5342.58 Aug 23 1330 45684 5342.58 Aug 23 1300 45672 5342.57 Aug 23 1230 45661 5342.56 Aug 23 1200 45649 5342.55 Aug 23 1130 45638 5342.54 Aug 23 1100 45627 5342.53 Aug 23 1030 45616 5342.52 Aug 23 1000 45604 5342.51 Aug 23 930 45593 5342.50 Aug 23 900 45570 5342.48 Aug 23 830 45559 5342.47 Aug 23 800 45537 5342.45 Aug 23 730 45525 5342.44 Aug 23 700 45514 5342.43 Aug 23 630 45492 5342.41 Aug 23 600 45480 5342.40 Aug 23 530 45480 5342.40 Aug 23 500 45469 5342.39 Aug 23 430 45458 5342.38 Aug 23 400 45458 5342.38 Aug 23 330 45458 5342.38 Aug 23 300 45447 5342.37 Aug 23 230 45447 5342.37 Aug 23 200 45458 5342.38 Aug 23 130 45447 5342.37 Aug 23 100 45447 5342.37 Aug 23 30 45447 5342.37 Aug 23 0 45447 5342.37 Aug 22 2330 45447 5342.37 Aug 22 2300 45447 5342.37 Aug 22 2230 45447 5342.37 Aug 22 2200 45447 5342.37 Aug 22 2130 45435 5342.36 Aug 22 2100 45435 5342.36 Aug 22 2030 45447 5342.37 Aug 22 2000 45435 5342.36 Aug 22 1930 45435 5342.36 Aug 22 1900 45435 5342.36 Aug 22 1830 45447 5342.37 Aug 22 1800 45435 5342.36 Aug 22 1730 45447 5342.37 Aug 22 1700 45447 5342.37 Aug 22 1630 45435 5342.36 Aug 22 1600 45435 5342.36 Aug 22 1530 45447 5342.37 Aug 22 1500 45435 5342.36 Aug 22 1430 45435 5342.36 Aug 22 1400 45435 5342.36 Aug 22 1330 45435 5342.36 Aug 22 1300 45435 5342.36 Aug 22 1230 45435 5342.36 Aug 22 1200 45435 5342.36

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Figure 42: Cochiti Lake

22 FIGURES 105

Figure 43: Stream Flow Products

22 FIGURES 106

Figure 44: Water Quality Schematic

22 FIGURES 107

Figure 45: Rio Grande Below Cochiti Dam Water Quality Plots

22 FIGURES 108

Gage Information − COCWQ − RIO GRANDE BELOW COCHITI DAM WATER QUALITY Year 2018

Month Day Time Water Temperature EC TDS DO WaterHead PH Turb. DN DP (mst) (deg. C) (deg. F) (ms/cm) (ppm) (mg/l) (ft) (fnu) (mg/l) (mg/l) −−−−− −−− −−−− −−−−−−−−−−−−−−−−−− −−−−−−− −−−−−− −−−−−− −−−−−−−−−− −−−− −−−−− −−−−−− −−−−−− Aug 23 1700 22.7 72.9 328.0 M 8.6 M 8.5 36.0 M M Aug 23 1630 22.7 72.9 326.0 M 8.5 M 8.4 33.0 M M Aug 23 1600 22.7 72.9 326.0 M 8.5 M 8.5 31.0 M M Aug 23 1530 22.8 73.0 326.0 M 8.6 M 8.5 30.0 M M Aug 23 1500 22.9 73.2 325.0 M 8.7 M 8.5 31.0 M M Aug 23 1430 22.9 73.2 325.0 M 8.8 M 8.5 34.0 M M Aug 23 1400 23.0 73.4 325.0 M 8.8 M 8.6 30.0 M M Aug 23 1330 22.9 73.2 326.0 M 8.8 M 8.6 30.0 M M Aug 23 1300 22.8 73.0 324.0 M 8.7 M 8.5 32.0 M M Aug 23 1230 23.0 73.4 325.0 M 8.9 M 8.5 31.0 M M Aug 23 1200 22.9 73.2 325.0 M 8.8 M 8.6 30.0 M M Aug 23 1130 22.9 73.2 325.0 M 8.8 M 8.6 36.0 M M Aug 23 1100 22.9 73.2 325.0 M 8.8 M 8.6 34.0 M M Aug 23 1030 22.9 73.2 325.0 M 8.8 M 8.6 39.0 M M Aug 23 1000 22.9 73.2 325.0 M 8.8 M 8.6 31.0 M M Aug 23 0930 22.9 73.2 324.0 M 8.8 M 8.6 31.0 M M Aug 23 0900 22.8 73.0 324.0 M 8.8 M 8.6 34.0 M M Aug 23 0830 22.7 72.9 324.0 M 8.7 M 8.5 30.0 M M Aug 23 0800 22.7 72.9 324.0 M 8.8 M 8.5 30.0 M M Aug 23 0730 22.7 72.9 324.0 M 8.7 M 8.5 29.0 M M Aug 23 0700 22.6 72.7 324.0 M 8.6 M 8.4 30.0 M M Aug 23 0630 22.6 72.7 324.0 M 8.7 M 8.5 34.0 M M Aug 23 0600 22.6 72.7 325.0 M 8.6 M 8.4 33.0 M M Aug 23 0530 22.6 72.7 326.0 M 8.5 M 8.4 33.0 M M Aug 23 0500 22.6 72.7 324.0 M 8.6 M 8.4 37.0 M M Aug 23 0430 22.6 72.7 324.0 M 8.6 M 8.4 32.0 M M Aug 23 0400 22.6 72.7 325.0 M 8.5 M 8.4 31.0 M M Aug 23 0330 22.6 72.7 325.0 M 8.6 M 8.4 33.0 M M Aug 23 0300 22.6 72.7 326.0 M 8.6 M 8.4 32.0 M M Aug 23 0230 22.6 72.7 327.0 M 8.5 M 8.4 34.0 M M Aug 23 0200 22.6 72.7 325.0 M 8.6 M 8.4 43.0 M M Aug 23 0130 22.6 72.7 325.0 M 8.6 M 8.4 38.0 M M Aug 23 0100 22.6 72.7 325.0 M 8.6 M 8.4 34.0 M M Aug 23 0030 22.6 72.7 326.0 M 8.6 M 8.4 34.0 M M Aug 23 0000 22.6 72.7 327.0 M 8.6 M 8.4 33.0 M M Aug 22 2330 22.6 72.7 327.0 M 8.6 M 8.4 39.0 M M Aug 22 2300 22.6 72.7 328.0 M 8.6 M 8.4 47.0 M M Aug 22 2230 22.6 72.7 328.0 M 8.6 M 8.4 52.0 M M Aug 22 2200 22.5 72.5 328.0 M 8.6 M 8.4 42.0 M M Aug 22 2130 22.5 72.5 327.0 M 8.6 M 8.4 41.0 M M Aug 22 2100 22.5 72.5 326.0 M 8.6 M 8.4 38.0 M M Aug 22 2030 22.5 72.5 327.0 M 8.6 M 8.4 43.0 M M Aug 22 2000 22.4 72.3 327.0 M 8.5 M 8.4 44.0 M M Aug 22 1930 22.4 72.3 327.0 M 8.6 M 8.4 38.0 M M Aug 22 1900 22.5 72.5 325.0 M 8.6 M 8.4 36.0 M M Aug 22 1830 22.6 72.7 324.0 M 8.6 M 8.4 34.0 M M Aug 22 1800 22.6 72.7 323.0 M 8.6 M 8.4 37.0 M M Aug 22 1730 22.6 72.7 324.0 M 8.6 M 8.4 28.0 M M Aug 22 1700 22.7 72.9 323.0 M 8.6 M 8.4 27.0 M M Aug 22 1630 22.7 72.9 323.0 M 8.7 M 8.4 27.0 M M Aug 22 1600 22.8 73.0 323.0 M 8.8 M 8.5 29.0 M M Aug 22 1530 22.8 73.0 322.0 M 8.8 M 8.5 27.0 M M Aug 22 1500 22.8 73.0 323.0 M 8.9 M 8.5 28.0 M M Aug 22 1430 22.9 73.2 323.0 M 9.0 M 8.5 27.0 M M Aug 22 1400 22.9 73.2 323.0 M 9.0 M 8.5 27.0 M M Aug 22 1330 22.9 73.2 323.0 M 9.0 M 8.5 28.0 M M Aug 22 1300 22.9 73.2 323.0 M 9.0 M 8.5 28.0 M M Aug 22 1230 22.7 72.9 324.0 M 8.8 M 8.5 27.0 M M Aug 22 1200 22.8 73.0 322.0 M 8.9 M 8.5 27.0 M M

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Figure 46: Rio Grande Below Cochiti Dam Water Quality Table

22 FIGURES 109

R 150 153 156 159 161 163 164 167 401 402 403 409 410 411 4130621 2 0.355 0.352 0.352 0.364 0.253 0.351 0.353 0.349 0.280 0.336 0.280 0.323 0.320 0.328 0.2810622 2 0.384 0.377 0.375 0.393 0.308 0.375 0.378 0.369 0.301 0.373 0.303 0.347 0.359 0.356 0.3060623 2 0.359 0.355 0.354 0.367 0.253 0.353 0.355 0.351 0.285 0.349 0.286 0.333 0.340 0.336 0.2890624 2 0.354 0.346 0.345 0.361 0.253 0.345 0.346 0.337 0.281 0.342 0.283 0.333 0.338 0.334 0.2880625 2 0.334 0.327 0.326 0.341 0.253 0.325 0.326 0.319 0.271 0.320 0.273 0.305 0.320 0.315 0.2780626 2 0.396 0.379 0.374 0.419 0.271 0.372 0.380 0.363 0.320 0.400 0.325 0.384 0.416 0.393 0.3380627 2 0.439 0.430 0.427 0.457 0.416 0.426 0.429 0.419 0.347 0.425 0.349 0.398 0.429 0.412 0.3570628 2 0.418 0.409 0.407 0.431 0.362 0.405 0.409 0.399 0.332 0.413 0.336 0.384 0.429 0.399 0.3430629 2 0.349 0.344 0.343 0.359 0.253 0.343 0.344 0.335 0.276 0.329 0.276 0.323 0.349 0.326 0.2800630 2 0.359 0.355 0.354 0.367 0.253 0.353 0.355 0.351 0.285 0.349 0.286 0.333 0.359 0.336 0.2890701 2 0.388 0.380 0.376 0.402 0.308 0.376 0.381 0.369 0.307 0.381 0.309 0.361 0.400 0.366 0.3150702 2 0.360 0.342 0.337 0.390 0.253 0.334 0.341 0.323 0.294 0.360 0.298 0.361 0.397 0.357 0.3100703 2 0.363 0.358 0.355 0.370 0.253 0.355 0.358 0.351 0.291 0.356 0.293 0.347 0.377 0.344 0.2970704 2 0.367 0.354 0.351 0.388 0.253 0.349 0.352 0.339 0.293 0.356 0.295 0.347 0.398 0.350 0.3020705 2 0.350 0.350 0.350 0.353 0.253 0.350 0.351 0.349 0.280 0.330 0.280 0.305 0.352 0.319 0.2810706 2 0.306 0.308 0.307 0.304 0.253 0.308 0.308 0.307 0.245 0.293 0.244 0.267 0.301 0.282 0.2420707 2 0.343 0.332 0.330 0.356 0.253 0.328 0.331 0.321 0.277 0.339 0.279 0.333 0.367 0.332 0.2860708 2 0.347 0.335 0.331 0.359 0.253 0.330 0.334 0.321 0.283 0.346 0.285 0.347 0.374 0.340 0.2940709 2 0.305 0.284 0.278 0.344 0.253 0.275 0.285 0.266 0.250 0.305 0.254 0.323 0.353 0.312 0.2710710 2 0.327 0.314 0.312 0.353 0.253 0.308 0.314 0.298 0.263 0.320 0.265 0.323 0.355 0.320 0.2750711 2 0.354 0.346 0.345 0.361 0.253 0.345 0.346 0.337 0.281 0.342 0.283 0.333 0.368 0.334 0.2880712 2 0.318 0.310 0.307 0.333 0.253 0.306 0.310 0.298 0.257 0.308 0.259 0.295 0.338 0.304 0.2650713 2 0.329 0.326 0.324 0.333 0.253 0.324 0.325 0.319 0.266 0.314 0.266 0.295 0.340 0.308 0.2680714 2 0.355 0.352 0.352 0.364 0.253 0.351 0.353 0.349 0.280 0.336 0.280 0.323 0.360 0.328 0.2810715 2 0.349 0.344 0.343 0.359 0.253 0.343 0.344 0.335 0.276 0.329 0.276 0.323 0.359 0.326 0.2800716 2 0.303 0.298 0.296 0.312 0.253 0.294 0.299 0.290 0.247 0.298 0.249 0.286 0.320 0.292 0.2570717 2 0.321 0.307 0.304 0.347 0.253 0.300 0.307 0.292 0.258 0.317 0.262 0.323 0.355 0.316 0.2730718 2 0.324 0.318 0.314 0.333 0.253 0.315 0.318 0.309 0.262 0.313 0.263 0.295 0.338 0.306 0.2670719 2 0.334 0.327 0.326 0.341 0.253 0.325 0.326 0.319 0.271 0.320 0.273 0.305 0.349 0.315 0.2780720 2 0.334 0.327 0.326 0.341 0.253 0.325 0.326 0.319 0.271 0.320 0.273 0.305 0.349 0.315 0.2780721 2 0.349 0.344 0.343 0.359 0.253 0.343 0.344 0.335 0.276 0.329 0.276 0.323 0.359 0.326 0.2800722 2 0.409 0.404 0.403 0.419 0.362 0.403 0.404 0.399 0.321 0.392 0.323 0.366 0.419 0.377 0.3270723 2 0.309 0.305 0.304 0.318 0.253 0.302 0.305 0.296 0.251 0.300 0.252 0.286 0.320 0.297 0.2590724 2 0.286 0.287 0.290 0.286 0.253 0.289 0.288 0.288 0.224 0.267 0.224 0.230 0.277 0.252 0.2210725 2 0.315 0.313 0.311 0.318 0.253 0.311 0.313 0.307 0.256 0.305 0.256 0.286 0.320 0.299 0.2610726 2 0.305 0.303 0.302 0.307 0.253 0.301 0.302 0.296 0.246 0.294 0.246 0.276 0.311 0.288 0.2490727 2 0.305 0.303 0.302 0.307 0.253 0.301 0.302 0.296 0.246 0.294 0.246 0.276 0.311 0.288 0.2490728 2 0.315 0.313 0.311 0.318 0.253 0.311 0.313 0.307 0.256 0.305 0.256 0.286 0.320 0.299 0.2610729 2 0.299 0.296 0.294 0.301 0.253 0.293 0.295 0.290 0.241 0.292 0.243 0.276 0.311 0.284 0.2470730 2 0.294 0.293 0.293 0.298 0.253 0.291 0.293 0.290 0.236 0.286 0.237 0.267 0.301 0.276 0.238

Aug 22, 18 20:50 Page 1/1cu_rate2.txtPrinted by Brower

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Figure 47: URGWOM Consumptive Use - Reach 2

22 FIGURES 110

1 2 3 4 5 6 7 80601 107.9 125.5 0.0 101.2 0.0 213.1 409.0 0.00602 0.0 123.6 0.0 104.4 0.0 207.6 405.3 0.00603 79.9 81.8 44.0 −42.7 820.7 −24.6 60.2 24.90604 110.0 0.0 0.0 0.0 0.0 214.4 384.4 0.00605 110.1 127.3 0.0 108.4 0.0 223.6 410.4 0.00606 113.5 125.3 0.0 108.1 52.1 190.7 333.8 19.10607 109.8 125.0 0.0 101.4 0.0 215.1 378.2 7.20608 113.2 129.4 0.0 111.6 0.0 224.8 396.7 0.90609 105.5 121.4 0.0 104.6 0.0 202.1 371.7 5.80610 104.3 123.6 0.0 93.2 9.1 189.1 258.5 23.80611 113.4 129.1 0.0 108.6 0.0 216.0 395.4 0.00612 122.1 141.8 0.0 114.9 0.0 244.8 420.9 0.00613 108.2 0.0 0.0 108.3 1.4 8.2 93.5 70.50614 0.0 4.3 0.0 2.3 0.0 0.7 291.4 12.00615 2.0 0.0 0.0 0.0 10.0 52.1 126.3 43.20616 99.9 103.7 43.9 189.6 611.4 377.6 −357.6 67.90617 0.1 6.1 4.3 0.0 0.0 0.0 308.4 0.00618 0.0 0.0 0.0 0.0 0.0 0.0 354.1 0.00619 0.0 0.0 0.0 0.0 0.0 0.0 365.8 0.00620 0.0 0.0 0.0 0.0 0.0 0.0 394.7 0.00621 0.0 0.0 0.0 0.0 0.0 0.0 406.6 0.00622 0.0 0.0 0.0 0.0 0.0 0.0 436.1 0.00623 0.0 0.0 0.0 0.0 0.0 0.0 408.6 0.00624 0.0 0.0 0.0 0.0 0.0 0.0 392.8 0.00625 0.0 0.0 0.0 0.0 0.0 0.0 386.7 0.00626 128.5 0.0 0.0 114.3 0.0 0.0 409.1 0.00627 118.7 131.4 10.4 33.9 229.8 187.6 150.4 22.00628 125.2 137.2 0.0 114.2 0.4 232.5 407.6 1.70629 0.0 0.0 0.0 76.5 0.4 177.7 345.9 21.70630 99.1 117.7 0.0 82.3 0.0 193.6 265.1 52.10701 109.7 126.7 0.0 103.7 0.0 226.0 382.6 0.00702 109.7 0.0 0.0 107.5 0.0 232.3 381.8 0.00703 107.6 119.4 0.0 100.5 0.0 203.4 366.6 0.30704 109.7 0.0 0.1 100.4 0.0 199.3 351.3 10.70705 −21.2 −66.3 28.2 77.0 442.5 69.4 160.8 18.00706 91.1 0.0 0.0 85.4 3.7 177.6 330.8 0.00707 99.0 112.6 0.0 97.3 0.2 172.6 325.7 0.20708 36.1 52.5 0.4 83.7 70.2 177.9 314.3 5.80709 0.5 0.0 0.0 88.5 17.3 89.6 105.9 7.10710 51.2 0.6 0.0 85.4 2.0 7.4 213.1 5.00711 7.4 57.8 0.0 92.5 1.7 172.9 293.4 14.80712 9.6 40.0 14.6 49.5 56.6 138.8 265.4 17.60713 97.3 98.2 2.7 82.0 6.4 167.8 77.3 55.10714 59.1 −34.6 15.9 33.4 7.1 153.1 162.7 0.10715 98.0 112.4 0.4 91.9 113.9 97.5 −13.0 112.10716 26.3 18.6 21.9 68.9 170.7 −109.2 166.9 17.80717 104.1 0.0 0.0 92.4 0.0 183.5 336.0 0.00718 0.0 0.4 0.0 0.0 0.0 0.0 351.2 0.00719 0.0 0.5 0.0 1.1 7.3 0.0 290.9 12.60720 23.5 33.0 0.1 3.0 6.7 18.8 370.4 0.10721 0.0 0.0 0.0 0.0 0.5 0.0 391.5 0.00722 116.0 132.4 0.0 107.0 0.0 0.0 399.6 0.00723 149.0 187.0 24.0 5.6 149.0 108.6 305.0 0.00724 −2.5 40.0 22.5 53.6 218.4 163.3 316.8 0.00725 7.7 49.0 18.9 47.4 196.4 165.7 299.5 7.40726 4.3 45.4 17.8 38.1 172.9 150.7 288.5 7.40727 71.6 −23.2 −6.6 −27.4 −94.7 131.9 256.4 10.40728 91.8 38.4 12.0 25.6 85.7 −295.4 −571.6 128.50729 88.4 98.0 33.0 78.6 288.7 175.8 329.8 0.00730 78.3 96.3 33.0 75.0 285.2 157.0 305.4 3.5

Aug 22, 18 20:45 Page 1/1cu_use.txtPrinted by Brower

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Figure 48: URGWOM Consumptive Use - All Reaches