CONUS air quality reanalysis dataset (2005-2018)
d583129
<p>This 14 year hourly air quality reanalysis dataset is generated through daily assimilation of the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) and the Measurement of Pollution in the Troposphere (MOPITT) carbon monoxide (CO) retrievals in the Community Multiscale Air Quality Model (CMAQ) from 01 January 2005 to 31 December 2018. The production of this air quality reanalysis is funded by the Atmospheric Composition Modeling and Analysis Program (ACMAP) under the project entitled 'Quantification and attribution of past (2005-2018) air quality trends over the Contiguous United States (CONUS) via assimilation of NASA atmospheric composition'. This data can be used to (1) develop products and metrics for assessing the long-term impact of air pollution on public health, agriculture, and economy as well as for quantifying air quality changes in unmonitored areas and benefits of emission control policies.</p>
dataset
https://gdex.ucar.edu/datasets/d583129/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d583129/dataaccess/
protocol: https
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
CMAQ > Community Multiscale Air Quality Modeling System
revision
2025-10-03
EARTH SCIENCE > ATMOSPHERE > ALTITUDE > PLANETARY BOUNDARY LAYER HEIGHT
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR RADIATION
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > RELATIVE HUMIDITY
revision
2025-10-03
2005-01-01
2018-12-31
publication
2023-09-15
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
function: download
pointOfContact
2025-10-09T01:35:16Z