Semantic search
From Earth Science Information Partners (ESIP)
| Data System Abbr | Data System Name | Organizations | Description |
|---|---|---|---|
| 3D-AQS | Three Dimensional Air Quality System (3D-AQS) | University of Maryland, Baltimore County. Partners include Battelle Memorial Institute, University of Wisconsin, NASA, EPA, NOAA, and CDC. | 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. |
| AERONETd | No Distributor | ||
| AIRNOW | No Distributor | ||
| AIRNow | AIRNow | EPA, National, State and Local Partners | |
| AMAP G | No Distributor | ||
| AQS d | No Distributor | ||
| AQS h | No Distributor | ||
| ASOS STI | No Distributor | ||
| ASTR FIREd | No Distributor | ||
| ASTR FIREm | No Distributor | ||
| ATADV | No Distributor | ||
| AVHRR | No Distributor | ||
| Africa Dust | No Distributor | ||
| Astrophoto | No Distributor | ||
| CALIPSO | No Distributor | ||
| CASTNET | CASTNET | EPA, NADP/NTN, CAPMoN | The Clean Air Status & Trends Network (CASTNET) is a rural, regional monitoring network designed primarily to measure seasonal and annual average concentrations and depositions over many years. CASTNET measurements are used to track long-term temporal and spatial trends due to changes in air quality. Data is used to assess the environmental impacts as a result of the U.S. EPA’s emission reduction programs (in particular, the Acid Rain Program (ARP) and the NOx Budget Trading Program (NBP)). In the future, CASTNET is expected to serve as an assessment tool for the Clean Air Interstate Rule (CAIR). Data measured from the CASTNET network is used by universities, ecologists, tribes, as well as federal regulators, as it is the only national long-term, regional, rural monitoring network. |
| CIESIN GPW | No Distributor | ||
| CIESIN POP | No Distributor | ||
| CMAQ | Community Multi-scale Air Quality Model (CMAQ) | EPA | The CMAQ model is a comprehensive, three-dimensional, grid-based Eulerian air quality model designed to estimate ozone and particulate concentrations and deposition over a broad range of temporal and spatial scales. CMAQ, which is a publically available, peer-reviewed, state-of-the-science model, consists of a number of science attributes that are critical for simulating the oxidant precursors and non-linear organic and inorganic chemical relationships associated with the formation of ozone and sulfate, nitrate, and organic aerosols. CMAQ also simulates the transport and removal of directly emitted particles which are speciated as elemental carbon, crustal material, nitrate, sulfate, and organic aerosols. Additionally, the multi-pollutant version of CMAQ simulates mercury and over 30 toxic volatile organic compounds and metals.
CMAQ is being used by the US EPA, State and Regional environmental organizations, universities, and independent research organizations to provide data in support of a wide range of analyses linked to understanding the spatial and temporal patterns of pollutant concentrations and deposition in relation to emissions and meteorology and as part of regulatory programs for evaluating the effectiveness of emissions control strategies for attainment of National Ambient Air Quality Standards. The US EPA’s Office of Air Quality Planning and Standards in collaboration with the Office of Research and Development have recently run CMAQ for the full year of 2002 using a 2002-based air quality modeling platform. |
| CMAQ Baron G | No Distributor |
