Combined Aerosol Trajectory Tool, CATT

Illustrated Instruction Manual

Supported by: MARAMA contract on behalf of

Mid-Atlantic/Northeast Visibility Union (MANE-VU)for the

Inter-RPO Workgroup for Data AnalysisSupplemental funding from

Environmental Protection Agency, OAQPS , Agreement # 83114101-0National Science Foundation, Grant #0113868

 Performed by the

Center for Air Pollution Impact and Trend Analysis (CAPITA, Washington UniversityIn collaboration with

Cooperative Institute for Research in the Atmosphere, CIRA-VIEWS ProgramJanuary 10, 2004

Acknowledgements• The CATT Tool is the result of an effective CIRA-CAPITA collaboration to create a

sequential value-adding chain. CIRA has opened the VIEWS and the ATAD databases for use by CAPITA. In fact the current CATT ensemble trajectory browser is accessing the VIEWS database for chemical data in real time! CAPITA added the trajectory browser code and the user interface.

 • The result is a textbook illustration of the new distributed computing paradigm! It is

hoped that the values that the CATT project added to the chain will be accessed and utilized by others and continue the value-adding process. The opportunities for mutual empowerment are truly endless

 • The functionality of CATT was strongly influenced by the dynamic infusion of ideas from

Rich Poirot. Beyond setting the initial goal of the CATT-Tool project, he also supplied continuous feedback on both the initial CATT design as well as on other features that we have added for our own reasons.

 • Serpil Kayin of MARAMA made sure that we actually finished this un-finishable 'project'. • The entire DataFed/CATT code was written by Kari Höijärvi of CAPITA

Table of Contents

IntroductionThe CATT Browser Web PageData Query (Q) Interface (Q)Trajectory Rendering Interface (RT)Application of Filters for Data “Slicing”

Single Site, Single Day TrajectoriesMulti-Site, Single Day TrajectoriesAll Visible Sites, Single Day Trajectories

Limiting Trajectories by Parameter ValueSingle Site, Time-Range TrajectoriesPercentile Filter

Seasonal aggregationsGridding and Grid Operators

Incremental Probability Metric, IP (‘Rich Poirot’ Metric)Potential Source Contribution Function, PSCF (‘Phil Hopke’ Metric)Grid-Average Concentration Metric, DM (‘Donna Kenski’ Metric)Weighed Probability Metric, WP (‘Mark Green’ Metric)TrajAgg: User-Defined Trajectory Viewer

CATT Summary LinksSingle Site & Day Traj

Percentile Filter User-Defined Trajectory Viewer

All Visible Sites, Single Day Traj

Pot. Src. Contr,‘Hopke’

Single Site, Time-Range Traj

Inc. Prob. IP-‘Poirot’ Avg. Conc, DM ‘Kenski’ Weighed Prob. WP-Green’

Gridded Transport Metrics

Multi-Site, Single Day Traj

CATT Software Components and Data Flow

• The CATT software consists of two rather independent components: 1. Chemical filter component. This component is accomplished through queries

to chemical data sets. The output of this step is a list of “qualified” dates for a specific receptor location.

2. Trajectory aggregator component. This component receives the list of dates for a specific location and performs the trajectory aggregation, residence time calculation and other spatial operations to yield a transport pattern for specific receptor location and chemical conditions.

The CATT Browser Web Page

• The CATT program is a standard web page accessible through a URL by any user. • The CATT browser has two data views, the Map and Time views. Each view serves double purpose: to

display data as maps or time series and to accept user input (clicking on Map/Time view) for navigation (browsing)

• To the left of each view are view-specific controls to change either the content or form of the view. The top group of controls, ViewControls relate to the entire view, the bottom group of buttons are the LayerControls and the changes depend on which active (current) layer is in the view.

• The general map view settings include setting the overall image size, geographic zoom rectangle (latitude-longitude), image margins and axis labels. The form, accessible through the magnifying glass – button, is considered self-explanatory. The ‘T button allows the entry of user-specified title on the map image.

View Controls and Settings

Status and Navigation Bar

The File menu item is for the design of new applications. It should only be used by developers and not by routine browsers of CATT.

• Traj_Point which shows the value of the species at different loc and time.

• Trajj_Line depicts the ensamble trajectories as lines.• Traj_Grid shows the gridded trajectories as shaded contours.

• The Layer menu, highlighted in a yellow box, is an important navigational control of CATT. It displays and allows the selection of the ‘current layer’. Most of the user interaction is confined to the current layer. In CATT, the three layers are:

Data Query (Q) Interface (Q)

• Chemical filter conditions determine the subset of the chemical data for which the backtrajectories are extracted, rendered, or gridded.

• The chemical filters fall into three major categories, filtering by parameter (e.g. SO4), location or by time.

• The chemical filter settings are accessible through the Query form, loaded by the query button, Q, on the right side of the map view of the Data Viewer.

Trajectory rendering options (RT)

• The trajectory rendering interface is accessed through the RT button, while the Traj_line layer is current.

Details of the Incremental Probability Metric

• The IP metric requires the computation of two residence time matrices: filtered and unfiltered reference matrix. The resulting IRTP matrix is simply the difference:

• IRTP = (Filtered Restime Matrix – Unfiltered Restime Matrix)

Normalized Un-Filtered Restime matrixNormalized Filtered Restime matrix for LYBR, SO4f, 80th percentile.

Incremental Probability map LYBR, SO4, (80%), 2000-20004

• The IRTP metric highlights the differences between the filtered and unfiltered trajectory counts by literally calculating the difference of the two normalized matrices. The resulting difference matrix, has both positive and negative values

• The positive, reddish areas have ‘higher than average’ probability of transport and the bluish areas ‘higher than average’ probability of transport for the selected filter conditions

Incremental Probability Metric, IP(‘Rich Poirot’ Metric)

• http://webapps.datafed.net/dvoy_services/datafed.aspx?page=CATT/CATT_IP

• Settings:• Button ‘G’: View: 'map'; Layer: 'Traj_Grid';

ID='ws_reference_grid'• param_filter = all_values• use_weight = none• Button ‘Q’:View: 'map'; Layers: 'Traj_Line',

'Traj_Grid'; ID='ws_data'• param_filter = percentile (80-100)• loc_filter = loc_code• time_filter = datatime_range• Button ‘G’: View: 'map'; Layer: 'Traj_Grid';

ID='ws_grid' • use_weight = none• normalize = true• Button ‘O’: View: 'map'; Layer: 'Traj_Grid';

ID='ws_mgo'• Expression = a - b

Potential Source Contribution Function, PSCF (‘Phil Hopke’ Metric)

• http://webapps.datafed.net/dvoy_services/datafed.aspx?page=CATT/CATT_SC

• Settings:• Button ‘G’: View: 'map'; Layer:

'Traj_Grid'; ID='ws_reference_grid'• param_filter = all_values• use_weight = none• Button ‘Q’:View: 'map'; Layers:

'Traj_Line', 'Traj_Grid'; ID='ws_data'

• param_filter = percentile (80-100)• loc_filter = loc_code• time_filter = datatime_range• Button ‘G’: View: 'map'; Layer:

'Traj_Grid'; ID='ws_grid' • use_weight = none• normalize = true• Button ‘O’: View: 'map'; Layer:

'Traj_Grid'; ID='ws_mgo'• Expression = a / b

Grid-Average Concentration Metric, DM(‘Donna Kenski’ Metric)

• http://webapps.datafed.net/dvoy_services/datafed.aspx?page=CATT/CATT_DM

• Settings:• Button ‘G’: View: 'map'; Layer:

'Traj_Grid'; ID='ws_reference_grid'

• param_filter = all_values• use_weight = none• Button ‘Q’:View: 'map'; Layers:

'Traj_Line', 'Traj_Grid'; ID='ws_data'

• param_filter = all_data• loc_filter = loc_code• time_filter = datatime_range• Button ‘G’: View: 'map'; Layer:

'Traj_Grid'; ID='ws_grid' • use_weight = linear• normalize = true• Button ‘O’: View: 'map'; Layer:

'Traj_Grid'; ID='ws_mgo'• Expression = a / b

Weighed Probability Metric, WP (‘Mark Green’ Metric)

• http://webapps.datafed.net/dvoy_services/datafed.aspx?page=CATT/CATT_WP

• Settings:• Button ‘Q’: View: 'map';

Layers: 'Traj_Line', 'Traj_Grid'; ID='ws_data'

• param_filter = all_values• loc_filter = loc_code• time_filter =

datatime_ramge• Button ‘G’: View: 'map';

Layer: 'Traj_Grid'; ID='ws_grid'

• use_wight = linear• normalize = true• Button ‘O’: View: 'map';

Layer: 'Traj_Grid'; ID='ws_mgo'

• Expression = a

Button ‘GReference Grid Settings Reference Grid Settings (Same as for Traj_line Query)

• Button ‘G’ Filtered Grid Settings Button ‘O’ Grid Operator Button ‘R’ Grid Rendering

TrajAgg viewer

• Given a table of receptor locations, dates, and chemical concentration the TrajAgg tool draws the corresponding ensemble of backtrajectories or residence time contour plots.

• The TrajAgg page has a single map view with trajectory Traj_line and Traj_grid layers.

Submission form for the chemical filter table

• The user defined filter table can be submitted and edited using the form, accessible through the button E.

• Following the submission (saving) of the data table on the server, the TajAgg viewer automatically displays the data in trajectory or grid mode. The table consists of simple comma separated fields with the first line indicating the column names. The fields loc-code and datetime are mandatory. Such csv tables can be exported from Excel.

• The loc_code field has to contain location identifiers that are in the IMPROVE/STN list. The list can be viewed in the main viewer window through the drop-down box for locations. If the chemical data for this table are obtained at location other than the IMPROVE/STN site list, the user can hand-select a nearby IMPROVE/STN location for the backtrajectories

Grid settings for the weighed residence time calculations

Setting for grid rendering of weighed trajectory aggregations