C ombined A erosol T rajectory T ool, CATT Status Report on Tools Development and Use Project supported by the Inter-RPO Data Analysis Workgroup Project Manager: Sirpil Kayin, MARAMA Technical Project Officer: Rich Poirot, Vermont DEP Project performed by CAPITA, Rudolf Husar, PI July 2004 Trajectory BrowserKitty: Simple CATT CATT Transport Analyzer

Next Process Why? How? When? Where? The new CATT: A Community Tool! Part of an Analysis Value Chain Aerosol Data Collection IMP. EPA Aerosol Sensors Integration VIEWS Integrated AerData AEROSOL Weather Data Assimilate NWS Gridded Meteor. Trajectory ARL Traject. Data TRANSPORT TrajData Cube Aggreg. Traject. AerData Cube CATT Aggreg. Aerosol CATT-In CAPITA There! Not There! Further Analysis GIS Grid Processing Emission Comparison

New CATT Components: TrajData Cube Aggreg. Traject. AerData Cube CATT Aggreg. Aerosol CATT-In CAPITA Chemical filter Accomplished through queries to chemical data sets. The output a list of “qualified” dates for a specific location (s). Trajectory aggregator Receives the list of dates for a specific location Performs the trajectory/restime aggregation Yield transport pattern for specific receptor location and chemical filter conditions. Trajectory Aggregator Tool Inputs: –Receptor location. Single location; multiple receptors; weighed multi-site –Receptor times. Time range for each site –Temporal filter/weight conditions. Date range; specific dates; weights for each date –Trajectory input files. Pre-computed or on the fly calculated (e.g. HYSPLIT, ATAD etc) –Trajectory aggregation metrics. Endpoint counts, residence time, incr. probability TAT Output: –XMLGrid, GIS layers, ASCII point –Rendered contour images of transport metric

The CATT Family IMPROVE-ATAD Trajectory Browser Tool –This tool is used to find the airmass history for an IMPROVE site and time TrajAgg- Trajectory Aggregator (Grid)TrajAgg- Trajectory AggregatorGrid –Uses user-defined filter (locations and dates) to aggregate trajectories Kitty – Simple Combined Aerosol Trajectory Tool –Limited filtering and aggregation for IMPROVE-ATAD data CATT - Combined Aerosol Trajectory Tool (Threshold, Percentile, Ratio)CATT - Combined Aerosol Trajectory Tool –Full featured chemical-transport exploration tool

IMPROVE-ATAD Trajectory Browser Tool This tool is used to find the airmass history for arbitrary location over the US and time Backtrajectory browser for IMPROVE sampling sites. Click on location and date.Backtrajectory browser for IMPROVE sampling sites. Fir a given sampling date, the backtrajectories for multiple receptor sites can be retrieved. The sites are specified in the URL, e.g.: datafed.net/dvoy_services/ datafed.aspx?view=atad_map&loc_code=SA LM+SAMA+SHEN+UPBU

TrajAgg- Trajectory Aggregator – User Defined Filter This tool performs weighed trajectory aggregation using user-supplied filter The filter can be submitted as a comma separated CSV table, shown here The aggregator returns either trajectory or weighed contour plots

Kitty – Simple CATT Combined Aerosol Trajectory Tool All the VIEWS chemical parameters available for filtering Filter settable as Parameter-Operator-Threshold, e.g. SOILf >20 or SO4<5

CATT – Combined Aerosol Trajectory Aggregator

Differing TrajPoint weight combinations These were all created using the CATT Aerosol Trajectory Aggregator Uncertainty potential further away

The Role of Age Weighing: Example: Fine SOIL Transport Probability map to Shenandoah, July Age weight factor = 1 Hi weighed restime near the receptor Factor ~ square root of age Weighed restime uniform along path Recommended (why? Don’t know) Factor ~ age Hi weighed restime far from receptor

Transport Probability Metrics The transport metric is calculated from two residence time grids, one for all trajectories and another for trajectories on selected (filtered days). Both residence time grids are normalized by the sum of all resdence times in all grid cells: p ij f =r ij /  r ij p ij a =r ij /  r ij p ij f, is the filtered and p ij a is the unfiltered residence time probability that an air masses passes through a specific grid. There is a choice of transport probability metrics: The Incremental Residence Time Probability (IP) proposed by Poirot et al., 2001 is obtained by subtracting the chemically filtered grid from the unfiltered residence time grid, IRTP = p ij f - p ij a The other metric is the Potential Source Contribution Function (PSCF) proposed by Hopke et al., which is the ratio of the filtered and unfiltered residence time probabilities, PSCF = p ij f / p ij a

Incremental Transport Probability Analysis In the Incremental Probability Map, red areas represent high probability transport path Blue zones represent the regions where a species are NOT coming from Upper Buffalo IMPROVE Site Backtrajectories for top 10 percentile Soil, Jun, Jul, Aug Backtrajectories for all days, Jun, Jul, Aug Incremental Transport Probability, Jun, Jul, Aug First, the trajectories for top 10 percent SOILf are calculated Next, the trajectories for all days are calculated Thirdly, the –Trajectory endpoints are gridded –Each grid is normalized to probability –The all-data grid is subtracted from filtered grid

Fine SOIL transport at decreasing concentration limit Weight by 1 Calc high Percent days Dust > 30 ug/m3 Dust > 1.8 ug/m3Dust > 3.7 ug/m3Dust > 1.8 ug/m3 Dust > 15 ug/m3Dust > 7.5 ug/m3

SO4 Multi- Site CATT

Incremental Probability Maps Upper 10 percentile, Big Bend, Jun, Jul Aug Incremental Transport Probabilities for Big Bend indicate southerly transport of species, except sulfate Conspicuously, in the summer, nitrate is also transported from the south

Incremental Probability Maps Upper 10 percentile, Brigantine, Jun, Jul Aug Incremental Transport Probabilities for Brigantine indicate westerly transport of species Soil is preferentially transported from southwest; nitrate is transported from the northwest

Project Status: Extensions to the CATT Analysis Tool 1.Connectivity to VIEWS chemical datasets Done 2.Flexible import of pre-calculated back-trajectory data Done for ATAD, Nor done for HYSPLIT 3.Additional chemical filtering and trajectory aggregation algorithms Done for some, may add some filters 4.Spatial interpolation and rendering (contouring) of point data Done 5.CATT server hardware and software installation and maintenance Done