气候变化领域集成服务门户(CCPortal): Numerical simulation of surface solar radiation over Southern Africa. Part 1: Evaluation of regional and global climate models

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DOI	10.1007/s00382-018-4143-1
	Numerical simulation of surface solar radiation over Southern Africa. Part 1: Evaluation of regional and global climate models
	Tang C.; Morel B.; Wild M.; Pohl B.; Abiodun B.; Bessafi M.
发表日期	2019
ISSN	0930-7575
起始页码	457
结束页码	477
卷号	52 期号:2020-01-02
英文摘要	This study evaluates the performance of climate models in reproducing surface solar radiation (SSR) over Southern Africa (SA) by validating five Regional Climate Models (RCM, including CCLM4, HIRHAM5, RACMO22T, RCA4 and REMO2009) that participated in the Coordinated Regional Downscaling Experiment program over Africa (CORDEX-Africa) along with their ten driving General Circulation Models (GCMs) from the Coupled Model Intercomparison Project Phase 5 over SA. The model simulated SSR was thereby compared to reference data from ground-based measurements, satellite-derived products and reanalyses over the period 1990–2005. Results show that (1) the references obtained from satellite retrievals and reanalyses overall overestimate SSR by up to 10 W/m 2 on average when compared to ground-based measurements from the Global Energy Balance Archive, which are located mainly over the eastern part of the southern African continent. (2) Compared to one of the satellite products (Surface Solar Radiation Data Set—Heliosat Edition 2; SARAH-2): GCMs overestimate SSR over SA in terms of their multi-model mean by about 1 W/m 2 (compensation of opposite biases over sub-regions) and 7.5 W/m 2 in austral summer and winter respectively; RCMs driven by GCMs show in their multimodel mean underestimations of SSR in both seasons with Mean Bias Errors (MBEs) of about − 30 W/m 2 in austral summer and about − 14 W/m 2 in winter compared to SARAH-2. This multi-model mean low bias is dominated by the simulations of the CCLM4, with negative biases up to − 76 W/m 2 in summer and − 32 W/m 2 in winter. (3) The discrepancies in the simulated SSR over SA are larger in the RCMs than in the GCMs. (4) In terms of trend during the “brightening” period 1990–2005, both GCMs and RCMs (driven by European Centre for Medium-Range Weather Forecasts Reanalysis ERA-Interim, short as ERAINT and GCMs) simulate an SSR trend of less than 1 W/m 2 per decade. However, variations of SSR trend exist among different references data. (5) For individual RCM models, their SSR bias fields seem rather insensitive with respect to the different lateral forcings provided by ERAINT and various GCMs, in line with previous findings over Europe. (6) Biases in SSR are overall qualitatively consistent with those in total cloud cover. The information obtained in present study is of crucial importance for understanding future climate projections of SSR and for relevant impact studies. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	CORDEX-Africa; GEBA; Regional climate model; Southern Africa; Surface solar radiation
语种	英语
scopus关键词	climate modeling; computer simulation; general circulation model; regional climate; solar radiation; summer; Southern Africa
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146591
作者单位	Laboratoire d’Energétique, d’Electronique et Procédés, Université de La Réunion, La Réunion, France; Institute for Atmospheric and Climate Science, ETH Zurich, Universitätsstr. 16, Zurich, 8092, Switzerland; Centre de Recherches de Climatologie, UMR6282 Biogéosciences, CNRS/Université de Bourgogne Franche-Comté, 6 boulevard Gabriel, Dijon, 21000, France; Climate System Analysis Group, Department of Environmental and Geographical Sciences, University of Cape Town, Cape Town, South Africa
推荐引用方式 GB/T 7714	Tang C.,Morel B.,Wild M.,et al. Numerical simulation of surface solar radiation over Southern Africa. Part 1: Evaluation of regional and global climate models[J],2019,52(2020-01-02).
APA	Tang C.,Morel B.,Wild M.,Pohl B.,Abiodun B.,&Bessafi M..(2019).Numerical simulation of surface solar radiation over Southern Africa. Part 1: Evaluation of regional and global climate models.Climate Dynamics,52(2020-01-02).
MLA	Tang C.,et al."Numerical simulation of surface solar radiation over Southern Africa. Part 1: Evaluation of regional and global climate models".Climate Dynamics 52.2020-01-02(2019).