气候变化领域集成服务门户(CCPortal): Evaluation of the Large EURO-CORDEX Regional Climate Model Ensemble

CCPortal

DOI	10.1029/2019JD032344
	Evaluation of the Large EURO-CORDEX Regional Climate Model Ensemble
	Vautard R.; Kadygrov N.; Iles C.; Boberg F.; Buonomo E.; Bülow K.; Coppola E.; Corre L.; van Meijgaard E.; Nogherotto R.; Sandstad M.; Schwingshackl C.; Somot S.; Aalbers E.; Christensen O.B.; Ciarlo J.M.; Demory M.-E.; Giorgi F.; Jacob D.; Jones R.G.; Keuler K.; Kjellström E.; Lenderink G.; Levavasseur G.; Nikulin G.; Sillmann J.; Solidoro C.; Sørland S.L.; Steger C.; Teichmann C.; Warrach-Sagi K.; Wulfmeyer V.
发表日期	2021
ISSN	2169-897X
卷号	126 期号:17
英文摘要	The use of regional climate model (RCM)-based projections for providing regional climate information in a research and climate service contexts is currently expanding very fast. This has been possible thanks to a considerable effort in developing comprehensive ensembles of RCM projections, especially for Europe, in the EURO-CORDEX community (Jacob et al., 2014, 2020). As of end of 2019, EURO-CORDEX has developed a set of 55 historical and scenario projections (RCP8.5) using 8 driving global climate models (GCMs) and 11 RCMs. This article presents the ensemble including its design. We target the analysis to better characterize the quality of the RCMs by providing an evaluation of these RCM simulations over a number of classical climate variables and extreme and impact-oriented indices for the period 1981–2010. For the main variables, the model simulations generally agree with observations and reanalyses. However, several systematic biases are found as well, with shared responsibilities among RCMs and GCMs: Simulations are overall too cold, too wet, and too windy compared to available observations or reanalyses. Some simulations show strong systematic biases on temperature, others on precipitation or dynamical variables, but none of the models/simulations can be defined as the best or the worst on all criteria. The article aims at supporting a proper use of these simulations within a climate services context. ©2020 Crown Copyright. This article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.
英文关键词	climate change; climate model evaluation; EURO-CORDEX; European climate; model biases; regional climate modeling
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/237048
作者单位	Institut Pierre-Simon Laplace, Paris, France; Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, Gif-sur-Yvette, France; Danish Meteorological Institute, Copenhagen, Denmark; Met Office Hadley Center, Exeter, United Kingdom; Climate Service Center Germany (GERICS), Helmholtz-Zentrum Geesthacht, Hamburg, D-20095, Germany; The Abdus Salam International Center for Theoretical Physic (ICTP), Trieste, Italy; Meteo-France, Toulouse, France; KNMI, Royal Netherlands Meteorological Institute, De Bilt, Netherlands; Center for International Climate Research (CICERO), Oslo, Norway; CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France; National Institute of Oceanography and Experimental Geophysics-OGS, Trieste, Italy; Institute for Atmospheric and Climate Science, ETH Zurich, Zürich, Switzerland; Atmospheric Processes, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany; SMHI: Swedish Meteorological and Hydrological Institute, Norrköping, Swede...
推荐引用方式 GB/T 7714	Vautard R.,Kadygrov N.,Iles C.,et al. Evaluation of the Large EURO-CORDEX Regional Climate Model Ensemble[J],2021,126(17).
APA	Vautard R..,Kadygrov N..,Iles C..,Boberg F..,Buonomo E..,...&Wulfmeyer V..(2021).Evaluation of the Large EURO-CORDEX Regional Climate Model Ensemble.Journal of Geophysical Research: Atmospheres,126(17).
MLA	Vautard R.,et al."Evaluation of the Large EURO-CORDEX Regional Climate Model Ensemble".Journal of Geophysical Research: Atmospheres 126.17(2021).