Raster · collection · 2024
Daily and Annual PM2.5 Concentrations for the Contiguous United States, 1-km Grids, Version 1.10 (2000-2016)
Listed in NASA Earthdata CMR and NASA Data Portal — shown once because both records carry DOI 10.7927/g2n9-ca10
The Daily and Annual PM2.5 Concentrations for the Contiguous United States, 1-km Grids, Version 1.10 (2000-2016) data set includes predictions of PM2.5 concentration in grid cells at a resolution of 1-km for the years 2000-2016.
Description
A generalized additive model was used that accounted for geographic difference to ensemble daily predictions of three machine learning models: neural network, random forest, and gradient boosting.
The three machine learners incorporated multiple predictors, including satellite data, meteorological variables, land-use variables, elevation, chemical transport model predictions, several reanalysis data sets, and others. The annual predictions were calculated by averaging the daily predictions for each year in each grid cell. The ensembled model demonstrated better predictive performance than the individual machine learners with 10-fold cross-validated R-squared values of 0.86 for daily predictions and 0.89 for annual predictions.
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In version 1.10, the completeness of daily PM2.5 predictions have been enhanced by employing linear interpolation to impute missing values. Specifically, for days with small spatial patches of missing data with less than 100 grid cells, inverse distance weighting interpolation was used to fill the missing grid cells. Other missing daily PM2.5 predictions were interpolated from the nearest days with available data.
Annual predictions were updated by averaging the imputed daily predictions for each year in each grid cell. These daily and annual PM2.5 predictions allow public health researchers to respectively estimate the short- and long-term effects of PM2.5 exposures on human health, supporting the U.S. Environmental Protection Agency (EPA) for the revision of the National Ambient Air Quality Standards for 24-hour average and annual average concentrations of PM2.5.
The data are available in RDS and GeoTIFF formats for statistical research and geospatial analysis.
Links
Get the data
- Data Set Documentation sedac.ciesin.columbia.edu/downloads/docs-repo/aqdh-pm2-5-concentrations-contiguous-us-1-… ↗
documentation · download · from NASA CMR, data nasa gov
- search.earthdata.nasa.gov /search/granules?p=C3540930144-ESDIS ↗
Earthdata Search allows users to search, discover, visualize, refine, and access NASA Earth Observation data.
download · from NASA CMR
- Original Metadata cmr.earthdata.nasa.gov/search/concepts/C3540930144-ESDIS.iso19115 ↗
download · from data nasa gov
Where it is published
- NASA Data Portal dataset page data.nasa.gov/dataset/daily-and-annual-pm2-5-concentrations-for-the-contiguo… ↗
landing page · from data nasa gov
- DOI doi.org/10.7927/g2n9-ca10 ↗
DOI / persistent id · from NASA CMR
Catalogue records · 3
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C3540930144-ESDIS.umm_json ↗
metadata API · from NASA CMR
- CKAN API data.nasa.gov/api/3/action/package_show?id=ed889280-ebe8-4e45-9200-bbc4cac55… ↗
metadata API · from data nasa gov
- CMR record cmr.earthdata.nasa.gov/search/concepts/C3540930144-ESDIS.html ↗
catalogue entry · from NASA CMR
Topics
- Stated by source
- Computer · MODELS · Particulate Matter · Particulates
- From keywords
- Astronomy & Astrophysics · Earth & Environmental Science · Ocean & Atmospheric Science · Physics
- Inferred from text
- Atmospheric sciences 69%
Provenance · 2 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Earthdata CMR | C3540930144-ESDIS | 13 d ago | JSON v1 |
| NASA Data Portal | ed889280-ebe8-4e45-9200-bbc4cac55a27 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[field].anzsrc:group:3701 | enrichment · NASA CMR | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:astronomy | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[field].local:field:physics | mapping · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| concepts[instrument].gcmd_instrument:computer | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[measured_variable].gcmd:earth-science/atmosphere/aerosols/particulate-matter | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[measured_variable].gcmd:earth-science/atmosphere/air-quality/particulates | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[platform].gcmd_platform:models | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| created_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| description | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/Abstract |
| license_text | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| publication_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| spatial | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/SpatialExtent |
| temporal | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/TemporalExtents |
| title | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/EntryTitle |
| updated_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| version_label | source · NASA CMR | connector:nasa_cmr@1.0.0 |