Skip to main content

Description

The Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2 represent a series of three-year running mean grids (1996-2012) of ground level NO2 that were derived from Global Ozone Monitoring Experiment (GOME), SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment-2 (GOME-2) satellite retrievals. For each satellite-derived NO2 source, the relationship between satellite observations of tropospheric NO2 column densities and the NO2 concentrations at ground level relevant to human exposure is simulated, using the Goddard Earth Observing System chemical transport model (GEOS-Chem) to produce a mean NO2 concentration raster grid. The grid cell resolution is six arc-minutes (0.1 degree, or approximately 10 km at the equator) covering the global land surface.

Product Summary

Platforms
ENVISAT,
ERS-2,
METOP-A,
METOP-B,
MODELS
Instruments
Computer,
GOME,
GOME-2,
SCIAMACHY
Spatial Extent
N: 90 S: -90 E: 180 W: -180
Spatial Resolution
0.1 Decimal Degrees x 0.1 Decimal Degrees
Geographic Region
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1996-01-01 to 2012-12-31
Data Partner
Earth Science Data Information System (ESDIS)
Concept ID
c3550191461-esdis
Data State
COMPLETE
Processing Level
4
Published
Updated

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Geddes, J. A., Martin, R. V., Brauer, M., Boys, B. L., & vanDonkelaar, A. (2017). Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2 (Version 1.00) [Data set]. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4JW8BTT Date Accessed: 2025-07-04

Documents

GENERAL DOCUMENTATION Data Set Documentation

Learning Resources

View All Learning Resources
Filters
No Results