Royal Dutch Meteorological Institute; Ministery Of Infrastructure And The Environment

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The CAMS reanalysis of atmospheric composition
by A. Inness (ECMWF), M. Ades (ECMWF), A. Agusti-Panareda (ECMWF), J. Barré (ECMWF), A. Benedictow (NMI)A.M. Blechschmidt (Univ. Bremen)J.J. Dominguez (ECMWF)R. Engelen (ECMWF)H. Eskes (KNMI)J. Flemming (ECMWF)V. Huijnen (KNMI)L. Jones (ECMWF)Z. Kipling (ECMWF)S. Massart (ECMWF)M. Parrington (ECMWF)

The Copernicus Atmosphere Monitoring Service (CAMS) reanalysis is the latest global reanalysis dataset of atmospheric composition produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), consisting of three-dimensional time-consistent atmospheric composition fields, including aerosols and chemical species. The dataset currently covers the period 2003–2016 and will be extended in the future by adding 1 year each year. A reanalysis for greenhouse gases is being produced separately. The CAMS reanalysis builds on the experience gained during the production of the earlier Monitoring Atmospheric Composition and Climate (MACC) reanalysis and CAMS interim reanalysis. Satellite retrievals of total column CO; tropospheric column NO2; aerosol optical depth (AOD); and total column, partial column and profile ozone retrievals were assimilated for the CAMS reanalysis with ECMWF's Integrated Forecasting System. The new reanalysis has an increased horizontal resolution of about 80 km and provides more chemical species at a better temporal resolution (3-hourly analysis fields, 3-hourly forecast fields and hourly surface forecast fields) than the previously produced CAMS interim reanalysis. The CAMS reanalysis has smaller biases compared with most of the independent ozone, carbon monoxide, nitrogen dioxide and aerosol optical depth observations used for validation in this paper than the previous two reanalyses and is much improved and more consistent in time, especially compared to the MACC reanalysis. The CAMS reanalysis is a dataset that can be used to compute climatologies, study trends, evaluate models, benchmark other reanalyses or serve as boundary conditions for regional models for past periods.

Bibliographic data
Inness, A., M. Ades, A. Agusti-Panareda, J. Barré, A. Benedictow, A.M. Blechschmidt, J.J. Dominguez, R. Engelen, H. Eskes, J. Flemming, V. Huijnen, L. Jones, Z. Kipling, S. Massart and M. Parrington, The CAMS reanalysis of atmospheric composition
Atm. Chem. Phys., 2019, 19, 3515-3556, doi:
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