N2O

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.

The CAMS reanalysis is the latest global reanalysis data set of atmospheric composition (AC) produced by the Copernicus Atmosphere Monitoring Service, consisting of 3-dimensional time-consistent AC fields, including aerosols, chemical species and greenhouse gases.The data set builds on the experience gained during the production of the earlier MACC reanalysis and 

 CAMS Global atmospheric composition forecast production system is used to produce the daily forecasts of pollutants, aerosols and greenhouse gases across the globe. Satellite observations of atmospheric composition are merged with a detailed computer simulation of the atmosphere using a method called data assimilation. The resulting analyses, i.e.