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contributor authorGemmer, Marco
contributor authorFischer, Thomas
contributor authorJiang, Tong
contributor authorSu, Buda
contributor authorLiu, Lü Liu
date accessioned2017-06-09T16:35:55Z
date available2017-06-09T16:35:55Z
date copyright2011/02/01
date issued2010
identifier issn0894-8755
identifier otherams-70671.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212477
description abstractSpatial and temporal characteristics of precipitation trends in the Zhujiang River basin, South China, are analyzed. Nonparametric trend tests are applied to daily precipitation data from 192 weather stations between 1961 and 2007 for the following indices: annual, monthly, and daily precipitation; annual and monthly number of rain days and precipitation intensity; annual and monthly maximum precipitation; 5-day maximum precipitation, number of rainstorms with >50 mm day?1, and peaks over thresholds (90th, 95th, and 99th percentile). The results show that few stations experienced trends in the precipitation indices on an annual basis. On a monthly basis, significant positive and negative trends above the 90% confidence level appear in all months except December. Trends in the indices of monthly precipitation, rain intensity, rain days, and monthly maximum precipitation show very similar characteristics. They experience the most distinct negative (positive) trends in October (January). A change of the mean wind direction by 50° from east-southeast to east-northeast explains the downward trend in precipitation in October. Dry October months (months with low precipitation indices) can be observed when the mean wind direction is east-northeast (arid) instead of the prevailing mean wind direction, east-southeast (moist). The former is typical for the East Asian winter monsoon (EAWM). Nearly 90% of the driest October months can be explained by wind directions typical for the EAWM. The upward trend in precipitation indices in January cannot be explained by changes in large-scale circulation. The analysis of the precipitation indices delivers more detailed information on observed changes than other studies in the same area. This can be attributed to the higher station density, the quality of daily data, and the focus on monthly trends in the current study.
publisherAmerican Meteorological Society
titleTrends in Precipitation Extremes in the Zhujiang River Basin, South China
typeJournal Paper
journal volume24
journal issue3
journal titleJournal of Climate
identifier doi10.1175/2010JCLI3717.1
journal fristpage750
journal lastpage761
treeJournal of Climate:;2010:;volume( 024 ):;issue: 003
contenttypeFulltext


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