MERRA2_CNN_HAQAST bias corrected global hourly surface total PM2.5 mass concentration, V1 (MERRA2_CNN_HAQAST_PM25) at GES DISC
This product provides MERRA-2 bias-corrected global hourly surface total PM2.5 mass concentration with the same horizontal spatial resolution as MERRA-2, covering a temporal range from 2000 to 2024. It is derived using a machine learning (ML) approach with a convolutional neural network (CNN) method and is specifically developed for the NASA Health and Air Quality Applied Sciences Team (HAQAST).The dataset consists of two parameters: MERRA2_CNN_Surface_PM25 and QFLAG. MERRA2_CNN_Surface_PM25, a 3-dimensional variable (time, latitude, longitude), represents the surface PM2.5 concentrations in µg/m³. QFLAG denotes the quality of data at each grid point, where 4 indicates the highest quality and 1 indicates the lowest quality. It is recommended to use QFLAG values of 3 and 4 for quantitative analysis.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"026:00"
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|
| contactPoint |
{
"fn": "Earthdata Forum",
"@type": "vcard:Contact",
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}
|
| description | This product provides MERRA-2 bias-corrected global hourly surface total PM2.5 mass concentration with the same horizontal spatial resolution as MERRA-2, covering a temporal range from 2000 to 2024. It is derived using a machine learning (ML) approach with a convolutional neural network (CNN) method and is specifically developed for the NASA Health and Air Quality Applied Sciences Team (HAQAST).The dataset consists of two parameters: MERRA2_CNN_Surface_PM25 and QFLAG. MERRA2_CNN_Surface_PM25, a 3-dimensional variable (time, latitude, longitude), represents the surface PM2.5 concentrations in µg/m³. QFLAG denotes the quality of data at each grid point, where 4 indicates the highest quality and 1 indicates the lowest quality. It is recommended to use QFLAG values of 3 and 4 for quantitative analysis. |
| distribution |
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|
| identifier | doi:10.5067/OCKK5HCFW5N3 |
| keyword |
[
"earth-science-aerosols-atmosphere-particulate-matter",
"earth-science-air-quality-atmosphere",
"earth-science-public-health-human-dimensions-environmental-health-factors-particulate-matter-pm"
]
|
| landingPage | https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/MERRA2_CNN_HAQAST_PM25_1.png |
| modified | 2026-02-17 |
| programCode |
[
"026:000"
]
|
| publisher |
{
"name": "NASA/GSFC/SED/ESD/TISL/GESDISC",
"@type": "org:Organization"
}
|
| spatial |
"["CARTESIAN",[{"WestBoundingCoordinate":-180,"NorthBoundingCoordinate":90,"EastBoundingCoordinate":180,"SouthBoundingCoordinate":-90}]]"
|
| temporal | 2000-01-01/2000-01-01 |
| theme |
[
"Earth Science"
]
|
| title | MERRA2_CNN_HAQAST bias corrected global hourly surface total PM2.5 mass concentration, V1 (MERRA2_CNN_HAQAST_PM25) at GES DISC |
