Abstract
Abstract. A new global reanalysis data set of atmospheric composition (AC) for the period 2003–2015 has been produced by the Copernicus Atmosphere Monitoring Service (CAMS). Satellite observations of total column (TC) carbon monoxide (CO) and aerosol optical depth (AOD), as well as several TC and profile observations of ozone, have been assimilated with the Integrated Forecasting System for Composition (C-IFS) of the European Centre for Medium-Range Weather Forecasting. Compared to the previous Monitoring Atmospheric Composition and Climate (MACC) reanalysis (MACCRA), the new CAMS interim reanalysis (CAMSiRA) is of a coarser horizontal resolution of about 110 km, compared to 80 km, but covers a longer period with the intent to be continued to present day. This paper compares CAMSiRA with MACCRA and a control run experiment (CR) without assimilation of AC retrievals. CAMSiRA has smaller biases than the CR with respect to independent observations of CO, AOD and stratospheric ozone. However, ozone at the surface could not be improved by the assimilation because of the strong impact of surface processes such as dry deposition and titration with nitrogen monoxide (NO), which were both unchanged by the assimilation. The assimilation of AOD led to a global reduction of sea salt and desert dust as well as an exaggerated increase in sulfate. Compared to MACCRA, CAMSiRA had smaller biases for AOD, surface CO and TC ozone as well as for upper stratospheric and tropospheric ozone. Finally, the temporal consistency of CAMSiRA was better than the one of MACCRA. This was achieved by using a revised emission data set as well as by applying careful selection and bias correction to the assimilated retrievals. CAMSiRA is therefore better suited than MACCRA for the study of interannual variability, as demonstrated for trends in surface CO.
Highlights
Exploiting the multitude of satellite observations of atmospheric composition (AC) is a key objective of the Copernicus Atmosphere Monitoring Service (CAMS)
The overestimation of CAMS interim reanalysis (CAMSiRA) and MACC reanalysis (MACCRA) and the underestimation of the control run experiment (CR) over North America leads to the conclusion that the assimilated Moderate Resolution Imaging Spectroradiometer (MODIS) retrievals were biased higher compared with the AErosol RObotic NETwork (AERONET) observations in this region, as pointed out in Levy et al (2010)
It was produced by assimilating satellite retrievals of aerosol optical depth (AOD) and total column (TC) carbon monoxide (CO) as well as TC and stratospheric ozone profile retrievals from various sensors in C-Integrated Forecasting System (IFS) using the European Centre for Medium-Range Weather Forecasts (ECMWF) 4D-VAR approach
Summary
Exploiting the multitude of satellite observations of atmospheric composition (AC) is a key objective of the Copernicus Atmosphere Monitoring Service (CAMS). The global CAMS system is built on the heritage of the EU-funded GEMS project (Hollingsworth et al, 2008) and a series of Monitoring Atmospheric Composition and Climate (MACC) projects at the European Centre for Medium-Range Weather Forecasts (ECMWF). During these projects the Integrated Forecasting System (IFS) of ECMWF was extended by modules for atmospheric chemistry, aerosols and greenhouse gases in such a way that the 4D-VAR data assimilation system, which had been developed for the analysis of the me-. Flemming et al.: The CAMS interim Reanalysis of Carbon Monoxide teorological fields, could be used for the assimilation of AC retrievals
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