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Satellite-Derived Environmental Indicators

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  • Collection Overview
  • Data Sets (10)
    • Global 3-Year Running Mean Ground-Level NO2 Grids from GOME, SCIAMACHY and GOME-2, v1 (1996 – 2012)
    • Annual PM2.5 Concentrations for Countries and Urban Areas, v1 (1998 – 2016)
    • Global (GL) Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD), v4.03 (1998 – 2019)
    • Global Fire Emissions Indicators, Country-Level Tabular Data, v1 (1997 – 2015)
    • Global Fire Emissions Indicators, Grids, v1 (1997 – 2015)
    • Global High Resolution Daily Extreme Urban Heat Exposure (UHE-Daily), v1 (1983 – 2016)
    • Global Summer Land Surface Temperature (LST) Grids, v1 (2013)
    • Global Urban Heat Island (UHI) Data Set, v1 (2013)
    • Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), v1 (2002 – 2016)
    • VIIRS Plus DMSP Change in Lights (VIIRS+DMSP dLIGHT), v1 (1992, 2002, 2013)
  • Map Gallery (65)
  • Map Services (14)
  • Citations

Global 3-Year Running Mean Ground-Level NO2 Grids from GOME, SCIAMACHY and GOME-2, v1 (1996 – 2012)

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Purpose:
To provide a continuous surface of NO2 concentrations for health and environmental research.
Abstract:
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.
Recommended Citation(s)*:

Geddes, J.A., R.V. Martin, B.L. Boys, and A. van Donkelaar. 2017. Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4JW8BTT. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

Geddes, J.A, R.V. Martin, B.L. Boys, and A. van Donkelaar. 2016. Long-term Trends Worldwide in Ambient NO2 Concentrations Inferred from Satellite Observations for Exposure Assessment. Environmental Health Perspectives 124 (3): 281-289. http://dx.doi.org/10.1289/ehp.1409567.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

Available Formats:
raster, map, map service

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