COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review

doi:10.5194/gmd-14-5125-2021

IOCAS-IR > 海洋环流与波动重点实验室

	COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review
	Sorland, Silje Lund 1,18; Brogli, Roman 1; Pothapakula, Praveen Kumar 2; Russo, Emmanuele 3; Van de Walle, Jonas 4; Ahrens, Bodo 2; Anders, Ivonne 5,6; Bucchignani, Edoardo 7,8; Davin, Edouard L.1; Demory, Marie-Estelle 1; Dosio, Alessandro 9; Feldmann, Hendrik 10; Frueh, Barbara 11; Geyer, Beate 12; Keuler, Klaus 13; Lee, Donghyun 14; Li, Delei 15; van Lipzig, Nicole P. M.4; Min, Seung-Ki 14,16; Panitz, Hans-Juergen 10; Rockel, Burkhardt 12; Schaer, Christoph 1; Steger, Christian 11; Thiery, Wim 17
	2021-08-17
Source Publication	GEOSCIENTIFIC MODEL DEVELOPMENT
ISSN	1991-959X
Volume	14 Issue:8 Pages:5125-5154
Corresponding Author	Sorland, Silje Lund(ssor@norceresearch.no)
Abstract	In the last decade, the Climate Limited-area Modeling Community (CLM-Community) has contributed to the Coordinated Regional Climate Downscaling Experiment (CORDEX) with an extensive set of regional climate simulations. Using several versions of the COSMO-CLM-Community model, ERA-Interim reanalysis and eight global climate models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) were dynamically downscaled with horizontal grid spacings of 0.44 degrees (similar to 50 km), 0.22 degrees (similar to 25 km), and 0.11 degrees (similar to 12 km) over the CORDEX domains Europe, South Asia, East Asia, Australasia, and Africa. This major effort resulted in 80 regional climate simulations publicly available through the Earth System Grid Federation (ESGF) web portals for use in impact studies and climate scenario assessments. Here we review the production of these simulations and assess their results in terms of mean near-surface temperature and precipitation to aid the future design of the COSMO-CLM model simulations. It is found that a domain-specific parameter tuning is beneficial, while increasing horizontal model resolution (from 50 to 25 or 12 km grid spacing) alone does not always improve the performance of the simulation. Moreover, the COSMO-CLM performance depends on the driving data. This is generally more important than the dependence on horizontal resolution, model version, and configuration. Our results emphasize the importance of performing regional climate projections in a coordinated way, where guidance from both the global (GCM) and regional (RCM) climate modeling communities is needed to increase the reliability of the GCM-RCM modeling chain.
DOI	10.5194/gmd-14-5125-2021
Indexed By	SCI
Language	英语
Funding Project	Korea Meteorological Administration Research and Development Program[KMI2020-01413]
WOS Research Area	Geology
WOS Subject	Geosciences, Multidisciplinary
WOS ID	WOS:000686635700002
Publisher	COPERNICUS GESELLSCHAFT MBH
Citation statistics	Cited Times:29[WOS] [WOS Record] [Related Records in WOS]
Document Type	期刊论文
Identifier	http://ir.qdio.ac.cn/handle/337002/176044
Collection	海洋环流与波动重点实验室
Corresponding Author	Sorland, Silje Lund
Affiliation	1.Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland 2.Goethe Univ, Inst Atmospher & Environm Sci, Frankfurt, Germany 3.Univ Bern, Climate & Environm Phys, Bern, Switzerland 4.Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium 5.Deutsch Klimarechenzentrum, Hamburg, Germany 6.Cent Inst Meteorol & Geodynam ZAMG, Vienna, Austria 7.Ctr Italian Ric Aerosp CIRA, Capua, Italy 8.Ctr Euro Mediterraneo Cambiamenti Climat CMCC, Caserta, Italy 9.European Commiss Joint Res Ctr JRC, Ispra, Italy 10.Karlsruhe Inst Technol KIT, Inst Meteorol & Climate Res IMK TRO, Karlsruhe, Germany 11.Deutsch Wetterdienst DWD, D-63067 Offenbach, Germany 12.Helmholtz Zentrum, Geesthacht, Germany 13.Brandenburg Univ Technol BTU, Chair Atmospher Proc, Cottbus, Germany 14.Pohang Univ Sci & Technol POSTECH, Div Environm Sci & Engn, Pohang, South Korea 15.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 16.Yonsei Univ, Inst Convergence Res & Educ Adv Technol, Incheon, South Korea 17.Vrije Univ Brussels, Dept Hydrol & Hydraul Engn, Brussels, Belgium 18.NORCE Norwegian Res Ctr, Bergen, Norway
Recommended Citation GB/T 7714	Sorland, Silje Lund,Brogli, Roman,Pothapakula, Praveen Kumar,et al. COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2021,14(8):5125-5154.
APA	Sorland, Silje Lund.,Brogli, Roman.,Pothapakula, Praveen Kumar.,Russo, Emmanuele.,Van de Walle, Jonas.,...&Thiery, Wim.(2021).COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review.GEOSCIENTIFIC MODEL DEVELOPMENT,14(8),5125-5154.
MLA	Sorland, Silje Lund,et al."COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review".GEOSCIENTIFIC MODEL DEVELOPMENT 14.8(2021):5125-5154.

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