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DOI | 10.1007/s00382-019-04742-z |
Examining the capability of reanalyses in capturing the temporal clustering of heavy precipitation across Europe | |
Yang, Zhiqi; Villarini, Gabriele | |
2019-08-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2019 |
卷号 | 53页码:1845-1857 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The aim of this study is to examine the capability of reanalyses in capturing the temporal clustering of heavy precipitation over Europe. We focus on four widely used products: the National Aeronautics and Space Administration's Modern Era Retrospective-Analysis for Research and Applications (MERRA) and version 2 (MERRA2); European Centre for Medium-Range Weather Forecasts' ERA-Interim; Japanese Meteorological Agency's Japanese 55-year Reanalysis (JRA-55). We define as heavy precipitation days those exceeding the 95th percentile of the precipitation distribution at every pixel, and investigate the temporal clustering in these events with respect to the Arctic Oscillation (AO) or the North Atlantic Oscillation (NAO). We evaluate the performance of these datasets in reproducing the temporal clustering in the observations using Cox regression. The results of this work indicate that: (1) heavy precipitation events over Europe exhibit temporal clustering; (2) all of the reanalysis products we have considered are capable of well reproducing the temporal clustering exhibited by the observations, and in general JRA-55 performs the best; moreover, our findings indicate that MERRA2 performs better than its predecessor MERRA in representing the relationship between heavy precipitation and these two climate indices; (3) all the reanalysis products in general tend to agree in terms of the temporal variability of NAO/AO. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000475558800036 |
WOS关键词 | NORTH-ATLANTIC OSCILLATION ; EXTREME PRECIPITATION ; GLOBAL PRECIPITATION ; ARCTIC OSCILLATION ; COX REGRESSION ; VARIABILITY ; TEMPERATURE ; CIRCULATION ; MODELS ; RAINFALL |
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/185430 |
专题 | 气候变化 |
作者单位 | Univ Iowa, IIHR Hydrosci & Engn, 100 C Maxwell Stanley Hydraul Lab, Iowa City, IA 52242 USA |
推荐引用方式 GB/T 7714 | Yang, Zhiqi,Villarini, Gabriele. Examining the capability of reanalyses in capturing the temporal clustering of heavy precipitation across Europe[J]. CLIMATE DYNAMICS,2019,53:1845-1857. |
APA | Yang, Zhiqi,&Villarini, Gabriele.(2019).Examining the capability of reanalyses in capturing the temporal clustering of heavy precipitation across Europe.CLIMATE DYNAMICS,53,1845-1857. |
MLA | Yang, Zhiqi,et al."Examining the capability of reanalyses in capturing the temporal clustering of heavy precipitation across Europe".CLIMATE DYNAMICS 53(2019):1845-1857. |
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