A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to cor...
A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases
About this item
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Author / Creator
Publisher
Katlenburg-Lindau: Copernicus GmbH
Journal title
Language
English
Formats
Publication information
Publisher
Katlenburg-Lindau: Copernicus GmbH
Subjects
More information
Scope and Contents
Contents
Satellite observations of dry-column methane mixing
ratios (XCH4) from shortwave infrared (SWIR) solar backscatter
radiation provide a powerful resource to quantify methane emissions in
service of climate action. The TROPOspheric Monitoring Instrument (TROPOMI), launched in October 2017,
provides global daily coverage at a 5.5 × 7 km2 (...
Alternative Titles
Full title
A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c828a75276fe46bf9cae97d13d365442
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c828a75276fe46bf9cae97d13d365442
Other Identifiers
ISSN
1867-8548,1867-1381
E-ISSN
1867-8548
DOI
10.5194/amt-16-3787-2023
