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Multi-Satellite Air Quality Sulfur Dioxide (SO2) Database Long-Term L4 Global V2 (MSAQSO2L4) at GES DISC

Metadata Updated: May 6, 2024

These data are a part of Multi-Decadal Sulfur Dioxide (SO2) Climatology from Satellite Instruments (MEaSUREs-12-0022 project). Version 2 of the global catalogue of emissions from large SO2 point sources combines data from the Ozone Monitoring Instrument (OMI) on NASA's EOS Aura spacecraft, the Ozone Mapping and Profiler Suite (OMPS) on the NASA-NOAA Suomi National Polar-orbiting Partnership (SNPP), and the TROPOspheric Monitoring Instrument (TROPOMI) on the ESA/Copernicus Sentinel-5 Precursor (S-5P) spacecraft.

The catalogue MSAQSO2L4 file contains the site coordinates, source type, country, source name, annual SO2 emissions, annual emission uncertainties, and the number of satellite pixels in the fitting area for three satellite instruments as well as for their weighted average.

The emission estimates are based on operational version 2 OMI and OMPS Principal Component Analysis (PCA) retrieval algorithm SO2 slant column density (SCD) data (Li et al., 2020) as well as on new TROPOMI Covariance-Based Retrieval Algorithm (COBRA) SCD data (Theys et al., 2021). A single time-independent site-specific Air-Mass Factor (AMF) value for each site was calculated (McLinden et al., 2014) and applied consistently to each satellite SCD dataset to derive SO2 vertical column densities (VCDs=SCDs/AMFs). The emission estimate method is based on a fit of satellite VCDs to an empirical plume model developed to describe the SO2 spatial distribution near emission point sources. The plume model assumes that the SO2 concentrations emitted from a point source decline exponentially with distance and that they are affected by turbulent diffusion that can be described by a two-dimensional (2D) exponentially modified Gaussian function. The total SO2 mass is derived from the fit and the annual emission rate is calculated as the ratio between the total mass and the prescribed SO2 lifetime.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

References

https://doi.org/10.5194/essd-2022-281
https://doi.org/10.5194/acp-21-16727-2021
https://doi.org/10.5194/acp-20-5591-2020
https://doi.org/2017
https://doi.org/10.1038/srep44095
https://doi.org/10.5194/acp-16-11497-2016
https://doi.org/10.1038/ngeo2724
https://doi.org/10.1002/2015GL063148
https://doi.org/10.5194/acp-14-3637-2014

Dates

Metadata Created Date May 30, 2023
Metadata Updated Date May 6, 2024

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Graphic Preview

Additional Metadata

Resource Type Dataset
Metadata Created Date May 30, 2023
Metadata Updated Date May 6, 2024
Publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
Maintainer
Identifier C2503251631-GES_DISC
Data First Published 2024-04-20
Language en-US
Data Last Modified 2024-04-20
Category MEaSUREs, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Vitali Fioletov, Chris A. McLinden, Debora Griffin, Ihab Abboud, Nickolay Krotkov, Peter J. T. Leonard, Can Li, Joanna Joiner, Nicolas Theys, and Simon Carn. Peter Leonard. 2022-11-11. MSAQSO2L4. Version 2. Multi-Satellite Air Quality Sulfur Dioxide (SO2) Database Long-Term L4 Global V2. Greenbelt, MD, USA. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Science Data and Information Services Center (GES DISC). https://doi.org/10.5067/MEASURES/SO2/DATA406. https://disc.gsfc.nasa.gov/datacollection/MSAQSO2L4_2.html. Digital Science Data.
Creator Vitali Fioletov, Chris A. McLinden, Debora Griffin, Ihab Abboud, Nickolay Krotkov, Peter J. T. Leonard, Can Li, Joanna Joiner, Nicolas Theys, and Simon Carn
Data Presentation Form Digital Science Data
Editor Peter Leonard
Graphic Preview File https://docserver.gesdisc.eosdis.nasa.gov/public/project/MEaSUREs/Krotkov/MSAQSO2L4.PNG
Harvest Object Id cac3dd09-4cec-4716-a302-36683f4b8715
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/MEASURES/SO2/DATA406
Metadata Type geospatial
Old Spatial -180.0 -90.0 180.0 90.0
Program Code 026:001
Related Documents https://doi.org/10.5194/essd-2022-281, https://doi.org/10.5194/acp-21-16727-2021, https://doi.org/10.5194/acp-20-5591-2020, https://doi.org/2017, https://doi.org/10.1038/srep44095, https://doi.org/10.5194/acp-16-11497-2016, https://doi.org/10.1038/ngeo2724, https://doi.org/10.1002/2015GL063148, https://doi.org/10.5194/acp-14-3637-2014
Release Place Greenbelt, MD, USA
Series Name MSAQSO2L4
Source Datajson Identifier True
Source Hash 260c62f60f9068861024c842cbe58493e913d3fdfd534a3f32da40afaa8e9226
Source Schema Version 1.1
Spatial
Temporal 2005-01-01T00:00:00Z/2023-12-31T23:59:59Z

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