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contributor authorWang, Chenghai
contributor authorYang, Kai
contributor authorLi, Yiling
contributor authorWu, Di
contributor authorBo, Yue
date accessioned2017-06-09T17:13:10Z
date available2017-06-09T17:13:10Z
date copyright2017/02/01
date issued2016
identifier issn0894-8755
identifier otherams-81268.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224252
description abstractibetan Plateau (TP) snow cover undergoes significant temporal and spatial variations during the winter and spring months. This study investigates the relationship between the spatiotemporal distribution of winter?spring snow cover (SC) over the TP and summer precipitation in eastern China (EC) using the singular value decomposition (SVD) method. Four simulation experiments are designed to validate the results of SVD analysis. Both observations and simulations show that heavier snow cover in the southern TP leads to more rainfall in the Yangtze River basin and northeastern China, and less precipitation in southern China, whereas heavier snow cover in the northern TP results in enhanced rainfall in southeastern and northern China and weakened precipitation in the Yangtze River basin. The linkage is attributed to anomalous westerly winds in the upper troposphere at around 200 hPa and to changes of the southern branch of westerlies at 500 hPa on the south side of the TP, which are caused by lasting diabatic heat anomalies over the TP. The shifts in position of the westerly jet at the exit region and negative anomalies of geopotential height at 500 hPa further result in anomalous anticyclone over the East China Sea and the corresponding 850-hPa water vapor convergence and influence the anomalous summer precipitation belt in EC.
publisherAmerican Meteorological Society
titleImpacts of Spatiotemporal Anomalies of Tibetan Plateau Snow Cover on Summer Precipitation in Eastern China
typeJournal Paper
journal volume30
journal issue3
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-16-0041.1
journal fristpage885
journal lastpage903
treeJournal of Climate:;2016:;volume( 030 ):;issue: 003
contenttypeFulltext


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