气候变化领域集成服务门户(CCPortal): Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula

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DOI	10.1007/s00382-019-04673-9
	Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula
	González-Rojí S.J.; Wilby R.L.; Sáenz J.; Ibarra-Berastegi G.
发表日期	2019
ISSN	0930-7575
起始页码	1413
结束页码	1433
卷号	53 期号:2020-03-04
英文摘要	There have been numerous statistical and dynamical downscaling model comparisons. However, differences in model skill can be distorted by inconsistencies in experimental set-up, inputs and output format. This paper harmonizes such factors when evaluating daily precipitation downscaled over the Iberian Peninsula by the Statistical DownScaling Model (SDSM) and two configurations of the dynamical Weather Research and Forecasting Model (WRF) (one with data assimilation (D) and one without (N)). The ERA-Interim reanalysis at 0. 75 ∘ resolution provides common inputs for spinning-up and driving the WRF model and calibrating SDSM. WRF runs and SDSM output were evaluated against ECA&D stations, TRMM, GPCP and EOBS gridded precipitation for 2010–2014 using the same suite of diagnostics. Differences between WRF and SDSM are comparable to observational uncertainty, but the relative skill of the downscaling techniques varies with diagnostic. The SDSM ensemble mean, WRF-D and ERAI have similar correlation scores (r = 0.45 –0.7), but there were large variations amongst SDSM ensemble members (r = 0.3 –0.6). The best Linear Error in Probability Space (LEPS = 0.001 –0.007) and simulations of precipitation amount were achieved by individual members of the SDSM ensemble. However, the Brier Skill Score shows these members do not improve the prediction by ERA-Interim, whereas precipitation occurrence is reproduced best by WRF-D. Similar skill was achieved by SDSM when applied to station or gridded precipitation data. Given the greater computational demands of WRF compared with SDSM, clear statements of expected value-added are needed when applying the former to climate impacts and adaptation research. © 2019, The Author(s).
英文关键词	Data assimilation; Dynamical downscaling; Iberian Peninsula; Precipitation; Regional climate modelling; SDSM; Statistical downscaling; WRF
语种	英语
scopus关键词	atmospheric modeling; climate modeling; data assimilation; downscaling; precipitation assessment; regional climate; weather forecasting; Iberian Peninsula
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/146147
作者单位	Applied Physics II Department, University of the Basque Country UPV/EHU, Leioa, Bizkaia, Spain; Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland; Climate and Environmental Physics, University of Bern, Bern, Switzerland; Department of Geography, Loughborough University, Leicestershire, United Kingdom; Joint Research Unit BEGIK, Spanish Institute of Oceanography (IEO), University of the Basque Country, Plentziako Itsas Estazioa, University of the Basque Country UPV/EHU, Plentzia, Bizkaia, Spain; Fluid Mechanics and N.I. Department, University of the Basque Country UPV/EHU, Bilbao, Bizkaia, Spain
推荐引用方式 GB/T 7714	González-Rojí S.J.,Wilby R.L.,Sáenz J.,et al. Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula[J],2019,53(2020-03-04).
APA	González-Rojí S.J.,Wilby R.L.,Sáenz J.,&Ibarra-Berastegi G..(2019).Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula.Climate Dynamics,53(2020-03-04).
MLA	González-Rojí S.J.,et al."Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula".Climate Dynamics 53.2020-03-04(2019).