CAMS Greenhouse Gas (GHG) flux inversions

Copernicus Atmosphere Monitoring Service produces global atmospheric inversion for methane, carbon dioxide and nitrous oxide using the atmospheric inversion framework PyVAR. The framework uses a process called data assimilation, or flux inversion, where ground-based and satellite remote-sensing observations are ingested into transport models of the atmosphere to infer the surface fluxes of greenhouse gases for the last few decades. For each species, there are different PyVAR versions depending on the period.

Generally, users can request data for concentration, surface flux and total column with frequency of 3 hourly, 6 hourly, Daily average or Monthly average.

Natural and anthropogenic surface fluxes of greenhouse gases are key drivers of the evolution of Earth’s climate, so their monitoring is essential. Such information has been used in particular as part of the Assessment Reports of the Intergovernmental Panel on Climate Change (IPCC).

Created by
Copernicus Atmosphere Monitoring Service
Provided by