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Volumn 33, Issue 4-5, 2004, Pages 176-182

The Swedish regional climate modelling programme, SWECLIM: A review

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; CLIMATE MODELING; HYDROLOGICAL CHANGE; REGIONAL CLIMATE;

EID: 3042556448     PISSN: 00447447     EISSN: None     Source Type: Journal    
DOI: 10.1579/0044-7447-33.4.176     Document Type: Review
Times cited : (52)

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    • note
    • SWECLIM was funded mainly by MISTRA and by SMHI. Research supported by a number of other bodies also contributed to meeting the program aims: the European Union (Framework 5 research project contracts: EVK2-CT2001-00132 [PRUDENCE], EVR1-CT2001-40012 [PRISM], EVK2-CT-1999-00007 [CLIWA-NET], EVK2-CT-1999-00051 [EUROCS], EVK1-2001-00297 [CLIME], EVK2-CT-2002-00164 [GLIMPSE], EVG1-CT-2001-00050 [ELDAS], and the INTERREG IIIb project C/2001/2023 [SEAREG]), the Nordic Energy Research and the Nordic Arctic Research Programme of the Nordic Council of Ministers (within the CWE and RESMoNA projects, respectively), Elforsk AB, Svenska Kraftnät and the Swedish Rescue Services Agency (Statens Räddningsverk), as well as the Swedish National Space Board (Rymdstyrelsen). The universities of Göteborg and Stockholm contributed to the program with additional personal resources for the scientific work. The regional climate model simulations were performed on supercomputing platforms at the Swedish National Supercomputing Centre (NSC) in Linköping. The NSC staff is thanked for their expert advice and support. The international HIRLAM project is thanked for provision of the HIRLAM model, which RCA builds on. We hope that our contributions match the help in kind. The international OCCAM project is thanked for the base on which RCO is built on. CERFACS in France is thanked for their excellent coupling tool OASIS that facilitated the development of RCAO. The provision of global simulations by the Hadley Centre of the Meteorological Office in the U.K., the Max-Planck-Institute for Meteorology (MPIfM) and the German Climate Computing Centre, DKRZ, both in Hamburg, Germany, and the Danish Climate Centre at the Danish Meteorological Institute (DMI) in Copenhagen, Denmark, is greatly acknowledged. For help with global model data we wish to thank especially Drs. Richard Jones and David Hassell at the Hadley Centre, Dr. Erich Roeckner at MPIfM, and Drs. Jens Hesselbjerg Christensen and Ole Bessing Christensen at DMI.


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