caa a22 4500 467922276 CHVBK 20180406152920.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s00477-006-0036-7 doi (NATIONALLICENCE)springer-10.1007/s00477-006-0036-7 Spatiotemporal analysis of precipitation trends in the Yangtze River catchment [Elektronische Daten] [Stefan Becker, Marco Gemmer, Tong Jiang] Precipitation trends in the Yangtze River catchment (PR China) have been analyzed for the past 50years by applying the Mann-Kendall trend test and geospatial analyses. Monthly precipitation trends of 36 stations have been calculated. Significant positive trends at many stations can be observed for the summer months, which naturally show precipitation maxima. They were preceded and/or followed by negative trends. This observation points towards a concentration of summer precipitation within a shorter period of time. The analysis of a second data set on a gridded basis with 0.5° resolution reveals trends with distinct spatial patterns. The combination of classic trend tests and spatially interpolated precipitation data sets allows the spatiotemporal visualization of detected trends. Months with positive trends emphasize the aggravation of severe situation in a region, which is particularly prone to flood disasters during summer. Reasons for the observed trends were found in variations in the meridional wind pattern at the 850hPa level, which account for an increased transport of warm moist air to the Yangtze River catchment during the summer months. Springer-Verlag, 2006 East Asian monsoon nationallicence Precipitation nationallicence Climate trends nationallicence Mann-Kendall trend test nationallicence Yangtze River catchment nationallicence Becker Stefan Department of Geography and Urban Planning, University of Wisconsin Oshkosh, 800 Algoma Blvd., 54901, Oshkosh, WI, USA aut Gemmer Marco European Commission, DG Joint Research Centre, Institute for the Protection and Security of the Citizen, TP 723, 21020, Ispra, Italy aut Jiang Tong Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, People's Republic of China aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/6(2006-09-01), 435-444 1436-3240 20:6<435 2006 20 477 https://doi.org/10.1007/s00477-006-0036-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-006-0036-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Becker Stefan Department of Geography and Urban Planning, University of Wisconsin Oshkosh, 800 Algoma Blvd., 54901, Oshkosh, WI, USA aut NATIONALLICENCE 700 1- Gemmer Marco European Commission, DG Joint Research Centre, Institute for the Protection and Security of the Citizen, TP 723, 21020, Ispra, Italy aut NATIONALLICENCE 700 1- Jiang Tong Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, People's Republic of China aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/6(2006-09-01), 435-444 1436-3240 20:6<435 2006 20 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer