Articles | Volume 17, issue 3
https://doi.org/10.5194/amt-17-1091-2024
https://doi.org/10.5194/amt-17-1091-2024
Research article
 | 
15 Feb 2024
Research article |  | 15 Feb 2024

The GeoCarb greenhouse gas retrieval algorithm: simulations and sensitivity to sources of uncertainty

Gregory R. McGarragh, Christopher W. O'Dell, Sean M. R. Crowell, Peter Somkuti, Eric B. Burgh, and Berrien Moore III

Model code and software

RtRetrievalFramework GeoCarb https://github.com/GeoCarb/RtRetrievalFramework

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Short summary
Carbon dioxide and methane are greenhouse gases that have been rapidly increasing due to human activity since the industrial revolution, leading to global warming and subsequently negative affects on the climate. It is important to measure the concentrations of these gases in order to make climate predictions that drive policy changes to mitigate climate change. GeoCarb aims to measure the concentrations of these gases from space over the Americas at unprecedented spatial and temporal scales.