English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Operational forecasts of stratospheric chemistry and aerosols by the ECMWF Integrated Forecasting System for the Copernicus Atmosphere Monitoring Service (CAMS)

Authors

Chabrillat,  Simon
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Bingen,  Christine
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Errera,  Quentin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Huijnen,  Vincent
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Metzger,  Swen
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Minganti,  Daniele
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Remy,  Samuel
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

William,  Jason
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Flemming,  Johannes
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Chabrillat, S., Bingen, C., Errera, Q., Huijnen, V., Metzger, S., Minganti, D., Remy, S., William, J., Flemming, J. (2023): Operational forecasts of stratospheric chemistry and aerosols by the ECMWF Integrated Forecasting System for the Copernicus Atmosphere Monitoring Service (CAMS), XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3964


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019869
Abstract
The ECMWF’s Integrated Forecast System (IFS) is the global atmospheric model used by the Copernicus Atmosphere Monitoring Service (CAMS) to provide analyses and forecasts on atmospheric composition. While the IFS configuration used operationally until June 2023 comprised a chemistry scheme and an aerosol module designed only for tropospheric composition, it has now been upgraded (cycle 48R1) to solve also for stratospheric chemistry and sulfate aerosols. We describe these two modules and their latest developments, evaluating hindcasts of stratospheric composition across eight winter-spring seasons above the polar regions and different aerosol case studies including quiescent and volcanic periods.The new stratospheric chemistry module, IFS(BASCOE), is evaluated against the BASCOE Reanalysis of Aura-MLS (BRAM) demonstrating its capacity to forecast the chemical composition of the polar lower stratosphere above both the Arctic and the Antarctic for five years with very different evolutions of the polar vortices. The current performance allows us to study the interannual variability of ozone hole episodes, including the exceptional Antarctic 2020 event.The stratospheric extension of the aerosol module has been coupled to IFS(BASCOE) through sulphuric acid, the radiation scheme, and the 4Dvar assimilation scheme. Intercomparisons with aerosol-related datasets (GloSSAC, GOMOS-AerGOM, AERONET, TROPOMI-SO2) and simulations by WACCM-CARMA show reasonable agreement for the post-Pinatubo event (1991-1995), a quiescent period (1997-1999), the early Envisat period (2002-2004) and the Raikoke eruption (June 2019). The Raikoke test shows that the chain from (volcanic) trace gas increments, impacting consecutively SO2, sulfate, radiation, and temperature, is functional and ready to be tested in data assimilation mode.