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DOI | 10.1002/joc.5249 |
Observational uncertainty and regional climate model evaluation: A pan-European perspective | |
Kotlarski, Sven1; Szabo, Peter2; Herrera, Sixto3; Raty, Olle4; Keuler, Klaus5; Soares, Pedro M.6; Cardoso, Rita M.6; Bosshard, Thomas7; Page, Christian8; Boberg, Fredrik9; Gutierrez, Jose M.10; Isotta, Francesco A.1; Jaczewski, Adam11; Kreienkamp, Frank12; Liniger, Mark A.1; Lussana, Cristian13; Pianko-Kluczynska, Krystyna11 | |
2019-07-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:9页码:3730-3749 |
文章类型 | Article |
语种 | 英语 |
国家 | Switzerland; Hungary; Spain; Finland; Germany; Portugal; Sweden; France; Denmark; Poland; Norway |
英文摘要 | The influence of uncertainties in gridded observational reference data on regional climate model (RCM) evaluation is quantified on a pan-European scale. Three different reference data sets are considered: the coarse-resolved E-OBS data set, a compilation of regional high-resolution gridded products (HR) and the European-scale MESAN reanalysis. Five high-resolution ERA-Interim-driven RCM experiments of the EURO-CORDEX initiative are evaluated against each of these references over eight European sub-regions and considering a range of performance metrics for mean daily temperature and daily precipitation. The spatial scale of the evaluation is 0.22 degrees, that is, the grid spacing of the coarsest data set in the exercise (E-OBS). While the three reference grids agree on the overall mean climatology, differences can be pronounced over individual regions. These differences partly translate into RCM evaluation uncertainty. For most cases observational uncertainty is smaller than RCM uncertainty. Nevertheless, for individual sub-regions and performance metrics observational uncertainty can dominate. This is especially true for precipitation and for metrics targeting the wet-day frequency, the pattern correlation and the distributional similarity. In some cases the spatially averaged mean bias can also be considerably affected. An illustrative ranking exercise highlights the overall effect of observational uncertainty on RCM ranking. Over individual sub-domains, the choice of a specific reference can modify RCM ranks by up to four levels (out of five RCMs). For most cases, however, RCM ranks are stable irrespective of the reference. These results provide a twofold picture: model uncertainty dominates for most regions and for most performance metrics considered, and observational uncertainty plays a minor role. For individual cases, however, observational uncertainty can be pronounced and needs to be definitely taken into account. Results can, to some extent, also depend on the treatment of precipitation undercatch in the observational reference. |
英文关键词 | CORDEX Europe observations RCM evaluation uncertainty |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000474001900005 |
WOS关键词 | GRIDDED DATA SETS ; DAILY PRECIPITATION ; COSMO-CLM ; RESOLUTION ; TEMPERATURE ; PERFORMANCE ; INTERPOLATION ; PROJECTIONS ; CORDEX ; INFORMATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184660 |
专题 | 气候变化 |
作者单位 | 1.Fed Off Meteorol & Climatol MeteoSwiss, Zurich, Switzerland; 2.Hungarian Meteorol Serv, Budapest, Hungary; 3.Univ Cantabria, Meteorol Grp, Dept Matemat Aplicada & Ciencias Comp, Santander, Spain; 4.Univ Helsinki, Helsinki, Finland; 5.Brandenburg Tech Univ Cottbus, Cottbus, Germany; 6.Univ Lisbon, Fac Ciencias, Inst Dom Luiz, Lisbon, Portugal; 7.Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden; 8.UMR CNRS 5318 CECI CERFACS, Toulouse, France; 9.Danish Meteorol Inst, Copenhagen, Denmark; 10.Univ Cantabria, CSIC, Inst Fis Cantabria, Meteorol Grp, Santander, Spain; 11.Natl Res Inst, Inst Meteorol & Water Management, Warsaw, Poland; 12.Deutsch Wetterdienst, Offenbach, Germany; 13.Norwegian Meteorol Inst, Oslo, Norway |
推荐引用方式 GB/T 7714 | Kotlarski, Sven,Szabo, Peter,Herrera, Sixto,et al. Observational uncertainty and regional climate model evaluation: A pan-European perspective[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(9):3730-3749. |
APA | Kotlarski, Sven.,Szabo, Peter.,Herrera, Sixto.,Raty, Olle.,Keuler, Klaus.,...&Pianko-Kluczynska, Krystyna.(2019).Observational uncertainty and regional climate model evaluation: A pan-European perspective.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(9),3730-3749. |
MLA | Kotlarski, Sven,et al."Observational uncertainty and regional climate model evaluation: A pan-European perspective".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.9(2019):3730-3749. |
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