Towards the next CAMS reanalysis of atmospheric composition

作者：Johannes Flemming, Antje Inness, Melanie Ades, Enza Di Tomaso, Flora Kluge, Zoi Paschalidi, Roberto Robas, Christopher Kelly, Samuel Rémy, Vincent Huijnen · 年份：2025 · DOI：10.5194/egusphere-egu25-12348 · 被引用次数：2 · 研究领域：Atmospheric and Environmental Gas Dynamics、Geochemistry and Geologic Mapping、Laser-induced spectroscopy and plasma

Global reanalyses of atmospheric composition (AC) have become a valuable data source to study trends of aerosols, reactive gases, and greenhouse gases. These reanalyses are produced by data assimilation of satellite retrievals of atmospheric composition with atmospheric composition models. The AC reanalysis data are consistent gridded data sets at high temporal resolution (“maps without gaps”) covering decades. Reanalyses are well suited for the study of trends as the users do not have to deal with spatial and temporal gaps in the assimilated observations and their inter-instrument biases. However, the trends and variability of the atmospheric composition fields in AC reanalysis are also influenced by the trends of the model input data such as emissions from anthropogenic sources and wildfires as well as from the meteorological conditions and changes in the availability of the assimilated satellite data.The Copernicus Atmosphere Monitoring Service (CAMS, atmosphere.copernicus.eu) has produced several AC reanalyses for the period starting in 2003 by assimilating satellite retrievals of atmospheric composition with the ECMWF model. The latest version is the CAMS Reanalysis (EAC4, Inness et al 2019) which is continued in near-real-time with a delay of a few weeks. It has been used for a wide range of applications such as the monitoring of the ozone hole, trends of surface PM2.5 and AOD, tropospheric ozone, and carbon monoxide.CAMS currently prepares the produ...