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 Lund1,18; Brogli, Roman1; Pothapakula, Praveen Kumar2; Russo, Emmanuele3; Van de Walle, Jonas4; Ahrens, Bodo2; Anders, Ivonne5,6; Bucchignani, Edoardo7,8; Davin, Edouard L.1; Demory, Marie-Estelle1; Dosio, Alessandro9; Feldmann, Hendrik10; Frueh, Barbara11; Geyer, Beate12; Keuler, Klaus13; Lee, Donghyun14; Li, Delei15; van Lipzig, Nicole P. M.4; Min, Seung-Ki14,16; Panitz, Hans-Juergen10; Rockel, Burkhardt12; Schaer, Christoph1; Steger, Christian11; Thiery, Wim17
2021-08-17
Source PublicationGEOSCIENTIFIC MODEL DEVELOPMENT
ISSN1991-959X
Volume14Issue:8Pages:5125-5154
Corresponding AuthorSorland, Silje Lund(ssor@norceresearch.no)
AbstractIn 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.
DOI10.5194/gmd-14-5125-2021
Indexed BySCI
Language英语
Funding ProjectKorea Meteorological Administration Research and Development Program[KMI2020-01413]
WOS Research AreaGeology
WOS SubjectGeosciences, Multidisciplinary
WOS IDWOS:000686635700002
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/176044
Collection海洋环流与波动重点实验室
Corresponding AuthorSorland, Silje Lund
Affiliation1.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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