The CAMS reanalysis of atmospheric composition
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 aero...
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Veröffentlicht in: | Atmospheric chemistry and physics 2019-03, Vol.19 (6), p.3515-3556 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 1680-7324 1680-7316 1680-7324 |
DOI: | 10.5194/acp-19-3515-2019 |