• Medientyp: E-Artikel
  • Titel: The CAMS reanalysis of atmospheric composition
  • Beteiligte: Inness, Antje; Ades, Melanie; Agustí-Panareda, Anna; Barré, Jérôme; Benedictow, Anna; Blechschmidt, Anne-Marlene; Dominguez, Juan Jose; Engelen, Richard; Eskes, Henk; Flemming, Johannes; Huijnen, Vincent; Jones, Luke; Kipling, Zak; Massart, Sebastien; Parrington, Mark; Peuch, Vincent-Henri; Razinger, Miha; Remy, Samuel; Schulz, Michael; Suttie, Martin
  • Erschienen: Copernicus GmbH, 2019
  • Erschienen in: Atmospheric Chemistry and Physics, 19 (2019) 6, Seite 3515-3556
  • Sprache: Englisch
  • DOI: 10.5194/acp-19-3515-2019
  • ISSN: 1680-7324
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: Abstract. The Copernicus Atmosphere Monitoring Service (CAMS)reanalysis is the latest global reanalysis dataset of atmosphericcomposition produced by the European Centre for Medium-Range WeatherForecasts (ECMWF), consisting of three-dimensional time-consistent atmosphericcomposition fields, including aerosols and chemical species. The datasetcurrently covers the period 2003–2016 and will be extended in the future byadding 1 year each year. A reanalysis for greenhouse gases is beingproduced separately. The CAMS reanalysis builds on the experience gainedduring the production of the earlier Monitoring Atmospheric Composition andClimate (MACC) reanalysis and CAMS interim reanalysis. Satellite retrievalsof total column CO; tropospheric column NO2; aerosol optical depth (AOD); andtotal column, partial column and profile ozone retrievals were assimilatedfor the CAMS reanalysis with ECMWF's Integrated Forecasting System. The newreanalysis has an increased horizontal resolution of about 80 km andprovides more chemical species at a better temporal resolution (3-hourlyanalysis fields, 3-hourly forecast fields and hourly surface forecastfields) than the previously produced CAMS interim reanalysis. The CAMSreanalysis has smaller biases compared with most of the independent ozone,carbon monoxide, nitrogen dioxide and aerosol optical depth observationsused for validation in this paper than the previous two reanalyses and ismuch improved and more consistent in time, especially compared to the MACCreanalysis. The CAMS reanalysis is a dataset that can be used to computeclimatologies, study trends, evaluate models, benchmark other reanalyses orserve as boundary conditions for regional models for past periods.
  • Zugangsstatus: Freier Zugang