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OMIDA_ens32_no2_Modellevel_2hourly_20180501-20180531.nc
3-D NO 2 concentration fields derived from the assimilation of OMI NO 2 from 1-31 May 2018. Variables: NO 2 volume mixing ratio [pptv], surface pressure [hPa]Horizonta
Figshare2021-11-19 更新60
Estimated PM2.5 2013
Description1: Daily adaptive bandwidth geographically weighted regression using daily infilled MODIS AOD, Description2: daily smog intensity and static smog potential as predictors. Description3: Base
NIAID Data Ecosystem50
CONUS PM2.5 estimation
CONUS PM2.5 We estimated daily ground-level PM2.5 concentrations across the contiguous U.S. by integrating EPA AQS reference measurements with PurpleAir sensor data, applying rigorous quality contro
Zenodo2025-11-04 更新20
Continuous daily maps of fine particulate matter (PM2.5) air quality in East Asia by application of a random forest algorithm to GOCI geostationary satellite data
We use 2011-2019 aerosol optical depth (AOD) observations from the Geostationary Ocean Color Imager (GOCI) instrument over East Asia to infer 24-h daily surface fine particulate matter (PM2.5) concent
NIAID Data Ecosystem60
Annual PM2.5 Grids from MODIS-Paraguay
The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) data sets represent a series of three-year running mean grids (1998-2012) of fine particulate matter (solid parti
Open SDG Hub for the Environment2020-08-02 更新30
