EGU General Assembly 2020
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Evolution of the CAMS global air quality forecasting system

Zak Kipling1, Melanie Ades1, Anna Agusti-Panareda1, Jérôme Barré1, Nicolas Bousserez1, Juan-José Dominguez1, Richard Engelen1, Johannes Flemming1, Sebastien Garrigues1, Vincent Huijnen2, Antje Inness1, Luke Jones1, Mark Parrington1, Miha Razinger1, Vincent-Henri Peuch1, Samuel Rémy3, Roberto Ribas1, and Martin Suttie1
Zak Kipling et al.
  • 1European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
  • 2Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
  • 3HYGEOS, Lille, France

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.

How to cite: Kipling, Z., Ades, M., Agusti-Panareda, A., Barré, J., Bousserez, N., Dominguez, J.-J., Engelen, R., Flemming, J., Garrigues, S., Huijnen, V., Inness, A., Jones, L., Parrington, M., Razinger, M., Peuch, V.-H., Rémy, S., Ribas, R., and Suttie, M.: Evolution of the CAMS global air quality forecasting system, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17941,, 2020.

This abstract will not be presented.