Atmospheric composition in ECMWF's Integrated Forecasting System
Peuch, Vincent-Henri ; Engelen, Richard ; Flemming, Johannes ; Huijnen, Vincent ; Inness, Antje
Weather conditions can have a strong influence on atmospheric composition, and composition can in turn have a significant impact on weather-related atmospheric processes, such as radiation and microphysics. Integrating atmospheric composition into numerical weather prediction models can thus not only help to produce reliable forecasts of composition but can also improve the skill of weather forecasts. The benefits of considering the interaction between composition and meteorology have been documented in several individual cases (Baklanov et al., 2014).
As part of the EU-funded Monitoring Atmospheric Composition and Climate research and development projects (MACC), ECMWF has devoted significant efforts to integrating a detailed representation of atmospheric composition and associated processes into its Integrated Forecasting System (IFS). The resulting system, C-IFS (Composition-IFS), is presented in this article. The system has been extensively validated both in model-only and data assimilation configurations and replaced the previous system in September 2014, in anticipation of transitioning to the operational phase of the Copernicus Atmosphere Monitoring Service (CAMS). C-IFS is effectively one of the first examples of a new class of global forecasting systems capable of delivering combined weather and environmental services.<br>Just like the IFS, C-IFS will undergo continuous development, including a resolution upgrade expected for later this year.
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