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Evolution of the CAMS global air quality forecasting system

Authors :
Anna Agusti-Panareda
Juan-José Dominguez
Nicolas Bousserez
Richard Engelen
Samuel Remy
L. Jones
Mark Parrington
Vincent-Henri Peuch
Johannes Flemming
M. Razinger
Sebastien Garrigues
Zak Kipling
Roberto Ribas
Antje Inness
Jerome Barre
Melanie Ades
Martin Suttie
Vincent Huijnen
Publication Year :
2020
Publisher :
Copernicus GmbH, 2020.

Abstract

As part of the Copernicus Atmosphere Monitoring Service (CAMS), operated by ECMWF on behalf of the European Commission, global analyses and forecasts of atmospheric composition have been produced operationally since 2015. These were built on many years of previous work under the GEMS and MACC projects, which began producing regular forecasts in 2007.Since the transition to an operational service, there have continued to be many new developments and improvements to the system in five major upgrades, including increased horizontal and vertical resolution, updated emissions and paramterisations, additional species such as nitrate aerosol, as well as updates to the underlying meteorological model and data assimilation. The components of this system (aerosols, gas-phase chemistry, meteorology and the ocean) are also now coupled more tightly via active feedbacks then ever before.In this interactive presentation, we will demonstrate the impact of a number of these developments on the performance of the resulting global air quality forecasts, alongside the continuing evolution of our approaches to assessing model improvement against independent in-situ and remote-sensing observations from a variety of platforms.Because the continuing evolution of an operational system can make the analysis of long-term trends problematic, we will also contrast this with the CAMS global reanalysis product, which (while not using the very latest version of the model) do provide a consistent long-term dataset from 2003 onwards.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........317e707a148fbf03ca38bd0702f848c6
Full Text :
https://doi.org/10.5194/egusphere-egu2020-17941