3D-AQS

From Federation of Earth Science Information Partners

<Back to Data Summit Workspace <All Data Systems
Edit with Form or Submit Word Doc

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: [email protected]; [email protected]

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.Property "About" (as page type) with input value "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." contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process.

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:

Not Given

Spatial - Temporal Coverage:

Not Given

Applications/Potential


Health:

Not Given

Forecasting and Reanalysis:

Not Given

Model/Emissions Evaluation:

Not Given

Characterization, Trends, Accountability:

Not Given

Other:

Not Given

Data System IT

Primary/Official Store for Some data:

Not Given

Data Consolidation/integration:

Not Given

Providing Data Access to users/externals:

Not Given

Data Processing:

Not Given

Visualization/Analysis:

Not Given

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

Not Given

End-to-End Integration:

Not Given

Other DS Values:

Not Given

Data Access and/or Output Interoperability:

Not Given

Reusable Tools and Methods:

Not Given

Security Barriers and Solutions:

Not Given

User Feedback Approach:

Not Given

Other Architecture:

Not Given

User Provided Content