The CAMS reanalysis of atmospheric composition

Author:

Inness AntjeORCID,Ades Melanie,Agustí-Panareda Anna,Barré Jérôme,Benedictow Anna,Blechschmidt Anne-Marlene,Dominguez Juan Jose,Engelen RichardORCID,Eskes HenkORCID,Flemming Johannes,Huijnen VincentORCID,Jones Luke,Kipling ZakORCID,Massart Sebastien,Parrington Mark,Peuch Vincent-HenriORCID,Razinger Miha,Remy Samuel,Schulz MichaelORCID,Suttie Martin

Abstract

Abstract. 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.

Publisher

Copernicus GmbH

Subject

Atmospheric Science

Reference103 articles.

1. Agustí-Panareda, A., Massart, S., Chevallier, F., Boussetta, S., Balsamo, G., Beljaars, A., Ciais, P., Deutscher, N. M., Engelen, R., Jones, L., Kivi, R., Paris, J.-D., Peuch, V.-H., Sherlock, V., Vermeulen, A. T., Wennberg, P. O., and Wunch, D.: Forecasting global atmospheric CO2, Atmos. Chem. Phys., 14, 11959–11983, https://doi.org/10.5194/acp-14-11959-2014, 2014.

2. Barré, J., Gaubert, B., Arellano, A. F. J., Worden, H. M., Edwards, D. P., Deeter, M. N., Anderson, J. L., Raeder, K., Collins, N., and Tilmes, S.: Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM-CAM-chem and DART, J. Geophys. Res.-Atmos., 120, 10501–10529, https://doi.org/10.1002/2015JD023467, 2015.

3. Basher, R. E.: Review of the Dobson spectrophotometer and its accuracy, Global Ozone Res. Monit. Proj., Rep. 13, World Meteor. Organ., Geneva, Switzerland, December, available at: http://www.esrl.noaa.gov/gmd/ozwv/dobson/papers/report13/report13.html (last access: 3 February 2017), 1982.

4. Benedetti, A. and Fisher M.: Background error statistics for aerosols, Q. J. Roy. Meteor. Soc., 133, 391–405, 2007.

5. Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J., Fisher, M., Flentje, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S., Mangold, A., Razinger, M., Simmons, A. J., Suttie, M., and the GEMS-AER team: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: Data Assimilation. J. Geophys. Res., 114, D13205, https://doi.org/10.1029/2008JD011115, 2009.

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