Comparing NEXRAD and Gauge Rainfall Data

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Comparing NEXRAD and Gauge Rainfall Data Nate Johnson CE 394K.2 Final Project April 26, 2005

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Comparing NEXRAD and Gauge Rainfall Data. Nate Johnson CE 394K.2 Final Project April 26, 2005. Motivation. USGS performs hydrologic and water quality modeling using rainfall data from gauges. Sometimes there is greater than 20 km between gauges - PowerPoint PPT Presentation

Transcript of Comparing NEXRAD and Gauge Rainfall Data

Page 1: Comparing NEXRAD and Gauge  Rainfall Data

Comparing NEXRAD and Gauge Rainfall Data

Nate JohnsonCE 394K.2 Final Project

April 26, 2005

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Motivation

• USGS performs hydrologic and water quality modeling using rainfall data from gauges.

9 km6 km

10 km

>20 km

• Sometimes there is greater than 20 km between gauges

• NEXRAD provides rainfall estimates on 4 km2 grid

• Could more acccurate hydrologic simulations could be performed with “accurate” distributed rainfall information?

How does NEXRAD precipitation data compare to gauges used for hydrologic modeling?

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Outline

Project involved 2 major tasks:

1. Transferring data from NEXRAD files to something more accessible

2. Comparing NEXRAD rainfall estimates to rain gauge measurements

a)Cumulative Difference

b)Storm Bias

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Background – File Structure

Space – Time – Variable dimensions

Gridded File – One Time, all space

TimeSeries File – One Location, all time

• To create a TimeSeries file (for a single location) from a collection of Gridded files (for a single time) must access thousands of gridded files!

24 hours * 365 days = 8,760 files/year

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Background – Rainfall Estimates

• Compare NEXRAD to gauge based on…

• Point Comparisons (Grid Cell immediately above)

• Within cell spatial variability?

• Spatial Averages

• Interpolate between gauges?

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This project only considers point comparisons…

Stay tuned for Jessica Watt’s presentation containing spatial

comparisons

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Methods – Extract NEXRAD Data• Extracted 2 months of hourly NEXRAD data for about

1,800 cells near San Antonio.

• August and September of 2001 were very rainy

• ~100,000 non-zero timeseries records

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Methods – Compare NEXRAD/Gauge

First method – Cumulative difference over two months

• For each hour, calculate difference between Radar and Gauge and add to pervious total

• Removes biases from timing discrepancies

n

iiiCum GRDiff

1

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Results – Cumulative Differences

August – September 2001

> 11 inches of rain!

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Results – Cumulative DifferencesS.A. Airport Gauge – 11.9 inches total

NEXRAD – Rain Gauge

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Results – Cumulative DifferencesGovernment Canyon Gauge – 10.3 inches total

NEXRAD – Rain Gauge

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Results – Cumulative DifferencesBulverde Rain Gauge – 10.8 inches Total

NEXRAD – Rain Gauge

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Methods – Compare NEXRAD/Gauge

Second method – Storm-to-Storm Comparison

• Based on an analysis by NCAR and NOAA in 1979

• Considers each event independently and looks for systematic biases

• Uses Ratio ‘G/R’ of Gauge to Radar for total storm-event precipitation

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Methods – Compare NEXRAD/Gauge

Average G/R

gauges i

iAve R

GRG /

Coefficient of Variation

Ave

ii

RGRG

VOC/

/..

N

i i

iiAve N

GRG

Diff1

/Average Difference

N

i i

AveiiAve N

GRGRG

Diff1

//

2Average Difference (Storm Bias Removed)

G/R < 1

G/R > 1 G/R > 1

G/R > 1

G/R < 1

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Results – Storm Bias Comparison

Original DifferenceImprovement?

Date#

Gages

Storm Duration

[h]G [in]

Average G/R

Relative dispersion

about Average G/R

[%]

Average Difference

[%]

Average Difference

(Storm Bias Corrected)

[%]

Average Difference assuming Log

Distribution for G/R (Storm Bias

Corrected) [%]

8/19/2001 3 4 0.29 1.45 0.27 0.28 0.20 0.198/27/2001 8 6 2.26 1.12 0.32 0.23 0.24 0.238/28/2001 7 4 0.64 1.06 0.47 0.40 0.43 0.398/28/2001 6 2 0.19 1.16 0.27 0.14 0.17 0.168/29/2001 8 10 1.95 2.74 0.64 0.48 0.71 0.598/30/2001 8 10 1.86 1.06 0.42 0.47 0.50 0.458/31/2001 6 4 0.83 1.13 0.35 0.27 0.28 0.27

9/1/2001 8 4 0.82 1.14 0.47 0.20 0.29 0.249/5/2001 3 4 0.42 0.96 0.04 0.04 0.03 0.039/6/2001 8 6 1.79 1.09 0.23 0.16 0.17 0.17

9/23/2001 7 4 0.52 0.91 0.35 0.37 0.35 0.35

1.26 0.35 0.28 0.31 0.28

Not enough gauges? Too much scatter?

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Conclusions / Future Work

• Some significant differences between NEXRAD and Gauge measurements

• May be too much scatter in G/R to remove “Storm Bias” from NEXRAD

• Still need to consider effects of spatial averaging

• Investigate the effects on hydrologic modeling results

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Background – Rainfall Estimates

• Hydrologic modeling traditionally relies upon estimates for “Average Drainage – Area precipitation

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• Some question yet as to whether or not it is appropriate to use NEXRAD for hydrologic modeling

• Studies have shown some disturbing differences between NEXRAD and gauge measurements

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Methods – Extract NEXRAD Data• First – Get NEXRAD data into Arc Hydro Geodatabase

• Second – Get Arc Hydro into Timeseries format

Arc Hydro GDB

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Background – File Structure• NEXRAD data are stored in a gridded file structure

• Hydrologic models require data in a TimeSeries Structure

Gridded File – One Time TimeSeries File – One Location