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Earth system chemistry integrated modelling (ESCiMo) with the modular earth submodel system (MESSy) version 2.51

Jöckel, Patrick; Tost, Holger; Pozzer, Andrea; Kunze, Markus; Kirner, Oliver; Brenninkmeijer, Carl A.M.; Brinkop, Sabine; Cai, Duy S.; Dyroff, Christoph; Eckstein, Johannes; Frank, Franziska; Garny, Hella; Gottschaldt, Klaus-Dirk; Graf, Phoebe; Grewe, Volker; Kerkweg, Astrid; Kern, Bastian; Matthes, Sigrun; Mertens, Mariano; Meul, Stefanie; ... mehr

Abstract (englisch):
Abstract. Three types of reference simulations, as recommended by the Chemistry–Climate Model Initiative (CCMI), have been performed with version 2.51 of the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model: hindcast simulations (1950–2011), hindcast simulations with specified dynamics (1979–2013), i.e. nudged towards ERA-Interim reanalysis data, and combined hindcast and projection simulations (1950–2100). The manuscript summarizes the updates of the model system and details the different model set-ups used, including the on-line calculated diagnostics. Simulations have been performed with two different nudging set-ups, with and without interactive tropospheric aerosol, and with and without a coupled ocean model. Two different vertical resolutions have been applied. The on-line calculated sources and sinks of reactive species are quantified and a first evaluation of the simulation results from a global perspective is provided as a quality check of the data. The focus is on the intercomparison of the different model set-ups. The simulation data will become publicly available via CCMI and the Climate and Environmental Retrieval and Archive (CERA) database of the German Climate Computing Centre (DKRZ). ... mehr

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Volltext §
DOI: 10.5445/IR/1000054126
Originalveröffentlichung
DOI: 10.5194/gmd-9-1153-2016
Scopus
Zitationen: 72
Web of Science
Zitationen: 66
Coverbild
Zugehörige Institution(en) am KIT Fakultät für Physik (PHYSIK)
Steinbuch Centre for Computing (SCC)
Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2016
Sprache Englisch
Identifikator ISSN: 1991-959X
urn:nbn:de:swb:90-541265
KITopen-ID: 1000054126
HGF-Programm 12.03.04 (POF III, LK 01)
Erschienen in Geoscientific Model Development
Band 9
Heft 3
Seiten 1153-1200
Nachgewiesen in Web of Science
Scopus
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