Possible Extensions to the VIEWS System

ToolsCATT for VIEWS 30k

Gridder/Contourer 15k

Auxiliary DataASOS-Current Visibility 20k

Historical Weather 20k

Infrastructure supportDynamic maps in VIEWS 30k

Network data access 20k

Trajectory Aggregation Tool for VIEWS

Background:

A combined aerosol trajectory aggregation tool, CATT, has been developed for easy aggregation and browsing of airmass histories associated with specific aerosol conditions. The CATT tool, is now supported (MANEVU/MRPO) for 16 stations and for pre-calculated residence

times.

Proposal:

We propose to extend the CATT tool by allowing ‘on the fly’ trajectory aggregation and use of VIEWS chemical data to set the aerosol conditions.

Budget:

$30k

Implementation and Status:

The CATT toll is now in beta testing by the MANEVU/MRPO group. This extension to CATT has been an option on the contract but funds were not available. The technologies of ‘on the fly’ trajectory aggregation and the VIEWS link have been tested for feasibility. R. Husar will lead

this effort in close cooperation with B. Schichtel of CIRA/VIEWS.

Extending CATT to VIEWS

Prepared by

Battelle and Sonoma Tech. Inc.

Prepared by

Battelle and Sonoma Tech. Inc.

Typical Source ProfilesTypical Source Profiles

Current MANEVU/MRPO Project Proposed Extension to VIEWS

‘On the fly trajectory aggregation for 150+ VIEWS sites

16 sites

180+ sites over the entire US

100+ ‘species’

15 ‘species’

CATT Tool Implementation

• The beta version of CATT is available now for testing.

• The tool displays the incremental transport probability for specified query conditions

Combined Aerosol Trajectory Tool - CATT

Query Conditions

Ad-hoc aggregation with VIEWS data

• The feasibility of ad-hog trajectory aggregation has been tested with success

• The combination with VIEWS chemical data is also practical

Spatial Interpolation and Rendering Tool for VIEWS

Background:

A tool for transforming point measurement data to a continuous surface would aid the analysis of VIEWS data and their comparison with other data from monitoring, emissions,

satellite as well as with model results

Proposal:

We propose to incorporate spatial interpolation and rendering facilities into the Dvoy data access and browsing system. The Gridder/Contourer tool will be applicable to the spatial

datasets in as well as from other monitoring networks.

Budget:

$15k

Implementation and Status:

The gridder/contourer technology has been developed at CAPITA over the past 15 years. Stefan Falke, who did his PhD dissertation on spatial extrapolation will lead the effort.

Spatial Interpolation and RenderingSite Code Lat Lon VALUE1534 21.3291 -158.093 4.601538 21.3966 -157.972 4.101535 21.3102 -157.858 4.001540 20.7808 -156.446 6.50108 20.8086 -156.282 4.09107 19.4309 -155.258 2.781142 61.533 -150.25 4.901135 61.2066 -149.821 5.101137 61.1822 -149.814 5.901143 61.5341 -149.032 5.40102 63.7233 -148.968 4.561144 63.7258 -148.963 5.801138 64.8411 -147.72 7.401140 58.3592 -134.509 5.2088 41.56 -124.086 89 42.5519 -124.059 6.752388 42.4319 -123.346 8.702380 44.5883 -123.274 6.102396 44.6156 -123.092 7.202392 44.0263 -123.084 9.002393 43.8338 -123.035 8.802397 44.9432 -123.006 7.8083 48.0065 -122.973 2410 45.5182 -122.967 5.70

Spatial Interpolation Settings

PM25 Conc.Grid PM25

InterpolatePM25 Conc.

The spatial interpolation operator transforms a data table to a gridded map using nearby measurement data.

The gridding and contouring of the selected data is done ‘on the fly’ by the user

Point Rendering

Contour Rendering

Gridding: Accounting for Data Density

The advanced spatial interpolation algorithm accounts for the variations in point data density inherent in air quality monitoring networks.

The resulting interpolated estimates are more representative of the urban and rural differences in air pollutant concentrations.

Low Point Data Density

High Point Data Density

Rendering: Rectangular, Contour, Lines

Rectangular Grid Cells Contoured Grid Cells Contoured Grid Lines

A flexible display rendering of gridded data will be implemented to accommodate different applications.

The flexibility enables clearer presentation and easier comparison with other data.