3D-AQS

From Earth Science Information Partners (ESIP)

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General

Contact

Data System Name: Three Dimensional Air Quality System (3D-AQS)
Data System URL: http://alg.umbc.edu/3D-AQS
Contact Person: Dr. Ray Hoff, University of Maryland, Baltimore County; Jill Engel-Cox, Battelle Memorial Institute
Contact e-mail: hoff@umbc.edu; engelcoxj@battelle.org

Background

About the Data System (Purposes, Audience)

The 3D-AQS project is using a range of remote sensing instruments to expand EPA’s AQS into a three-dimensional system of nation-wide coverage, with the goal of providing information on the vertical and horizontal distribution of pollutants, particularly aerosols and particulates. The 3D-AQS project has three key initiatives. First, the project is improving existing data and visualization methods by developing finer resolution products, quantitative analysis of the satellite data with ground-based data, and creating new visualizations of 3D air quality information. Second, the project integrates satellite and lidar data into EPA’s AirQuest system, a database that merges AQS and AIRNow data with other monitor, model, and socioeconomic data, making the NASA data easily accessible. Third, the Integrating satellite Data from Environmental Applications (IDEA) product, which unites a range of satellite data in near real time, is bing migrated to an operational environment within NOAA’s National Environmental Satellite, Data, and Information Service (NESDIS). IDEA is being enhanced to include data from GASP and the ground-based LIDAR sensors. An end user advisory committee comprised of air quality forecasters and analysts is providing input and advice at each stage of the project.

Presentation

http://alg.umbc.edu/3D-AQS

History

Three year project funded by NASA Applied Sciences Program.

Agencies

University of Maryland, Baltimore County. Partners include Battelle Memorial Institute, University of Wisconsin, NASA, EPA, NOAA, and CDC.

List of Publications, Papers, Presentations

Available at http://alg.umbc.edu/3D-AQS. Also, numerous journal publications.

Data System Scope

Data Content

Datasets Served

Not Given

Parameters

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Spatial - Temporal Coverage

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Applications/Potential


Health

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Forecasting and Reanalysis

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Model/Emissions Evaluation

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Characterization, Trends, Accountability

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Other

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Data System IT

Primary/Official Store for Some data

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Data Consolidation/integration

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Providing Data Access to users/externals

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Data Processing

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Visualization/Analysis

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Decision Support (e.g. some integration into user business process)

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End-to-End Integration

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Other DS Values

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Data Access and/or Output Interoperability

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Reusable Tools and Methods

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Security Barriers and Solutions

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User Feedback Approach

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Other Architecture

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User Provided Content