Spatiotemporal analysis of nonlinear trends in precipitation over Germany during 1951-2013 from multiple observation-based gridded products
Duan, Zheng1; Chen, Qiuwen2; Chen, Cheng2; Liu, Junzhi3; Gao, Hongkai4; Song, Xianfeng5; Wei, Meng6,7
刊名INTERNATIONAL JOURNAL OF CLIMATOLOGY
2019-03-30
卷号39期号:4页码:2120-2135
关键词climate change EEMD Europe rainfall time-varying variability
ISSN号0899-8418
DOI10.1002/joc.5939
英文摘要Spatial and temporal patterns of trends in annual and seasonal precipitation over Germany during 1951-2013 were analysed using the ensemble empirical mode decomposition (EEMD) method. Three widely used and recognized high-resolution observation-based gridded precipitation products, the Climatic Research Unit (CRU) time-series data, Global Precipitation Climatology Centre (GPCC) Full Data Reanalysis data and the EU-FP6 project ENSEMBLES derived data set (EOBS), were used and compared. Comparison among different products showed that the CRU used a considerably lower number of gauge stations (maximum 36) in the construction of gridded product over Germany and should be used with great caution for other applications, and overall CRU presented less precipitation and smaller inter-annual variability; GPCC and EOBS agreed well in the spatial and temporal distribution of seasonal and annual precipitation, as well as the identified trends. The spatiotemporal analysis of trends showed that trends in precipitation during 1951-2013 were, in most cases, highly nonlinear and varying over time. In particular, the spring, summer and autumn precipitation showed large variations in trends. Therefore, the assumption of linear trends on which previous studies were based is invalid. Annual precipitation showed increasing trends in over 66% of Germany (particularly northern and eastern Germany), and the magnitude of increasing trends were generally enhanced over time, e.g. GPCC showed that the average magnitude of increasing trends rose from 6.3% for the 1951-1980 period to 12% for the 1951-2013 period. There were considerable spatial and temporal variabilities in trends in seasonal precipitation totals over Germany. This study is among one of the first studies applying the EEMD method to a comprehensive analysis of time-varying trends in precipitation over Germany, which is expected to improve our understanding of the complex and nonlinear regional climate system.
资助项目Natural Science Foundation of Jiangsu Province[BK20150975]
WOS关键词EMPIRICAL MODE DECOMPOSITION ; TEMPERATURE ; VARIABILITY ; CHINA ; RIVER ; XINJIANG ; BASIN
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者WILEY
WOS记录号WOS:000465456400021
内容类型期刊论文
源URL[http://ir.fio.com.cn:8080/handle/2SI8HI0U/24669]  
专题自然资源部第一海洋研究所
通讯作者Chen, Qiuwen
作者单位1.Tech Univ Munich, Chair Hydrol & River Basin Management, Munich, Germany
2.Nanjing Hydraul Res Inst, Ctr Ecoenvironm Res, Hujuguan 34 Gulou Dist, Nanjing 210029, Jiangsu, Peoples R China
3.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing, Jiangsu, Peoples R China
4.East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China
5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
6.State Ocean Adm, Inst Oceanog 1, Lab Marine Sci & Numer Modeling, Qingdao, Shandong, Peoples R China
7.Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao, Shandong, Peoples R China
推荐引用方式
GB/T 7714
Duan, Zheng,Chen, Qiuwen,Chen, Cheng,et al. Spatiotemporal analysis of nonlinear trends in precipitation over Germany during 1951-2013 from multiple observation-based gridded products[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(4):2120-2135.
APA Duan, Zheng.,Chen, Qiuwen.,Chen, Cheng.,Liu, Junzhi.,Gao, Hongkai.,...&Wei, Meng.(2019).Spatiotemporal analysis of nonlinear trends in precipitation over Germany during 1951-2013 from multiple observation-based gridded products.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(4),2120-2135.
MLA Duan, Zheng,et al."Spatiotemporal analysis of nonlinear trends in precipitation over Germany during 1951-2013 from multiple observation-based gridded products".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.4(2019):2120-2135.
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