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基于GPM数据的华东地区降水时空分布特征研究 被引量:1

Spatial and Temporal Distribution of Precipitation in East China Based on GPM Data
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摘要 干旱与洪涝是华东地区最主要的气候灾害,针对当前该地区降水时空分布研究的缺失,借助气象站点实测数据对GPM降水数据进行了精度验证,在精度满足后续研究的基础上,利用Mann-Kendall突变检验方法以及地统计分析方法研究了华东地区降水时空分布特征。结果表明:GPM降水数据在年和月尺度上,与实测站点数据的相关系数分别为0.84、0.81,偏差分别为9.56%、9.31%,总体精度较高;在空间分布上,降水呈现出南多北少的空间格局;在时间分布上,年降水量逐渐增加并出现波动上升的趋势。研究结论对该地区气象灾害防范、政府决策具有一定参考意义。 Drought and flood are the most important climatic disasters in East China,and precipitation plays an important role in them.In view of the lack of current studies on the spatial and temporal distribution of precipitation in this region,this paper verifies the accuracy of GPM precipitation data with the help of measured data from meteorological stations.On the basis that the accuracy meets the requirements of subsequent studies,the Mann-Kendall mutation test method and geostatistical analysis method are used to study the spatial and temporal distribution characteristics of precipitation in East China.The results show that the correlation coefficients between the GPM precipitation data and the measured station data are 0.84 and 0.81,respectively,and the deviations are 9.56% and 9.31%,respectively.The overall accuracy is high.In the spatial distribution,the precipitation is more in the south and less in the north.In the time distribution,the annual precipitation increased gradually and showed a trend of fluctuation.The research conclusion of this paper has certain reference significance for meteorological disaster prevention and government decision-making in this region.
作者 王伟 余芳滨 曹良中 林雅睿 余佳美 Wang Wei;Yu Fangbin;Cao Liangzhong;Lin Yarui;Yu Jiamei(Geographic Information Engineering Brigade,Jiangxi Provincial Geological Bureau,Nanchang 330000,Jiangxi,China;Jiangxi Province Traditional Village Development Research Center,Jiujiang University,Jiujiang 332005,Jiangxi,China)
出处 《绿色科技》 2023年第24期8-15,共8页 Journal of Green Science and Technology
基金 江西省地质局科技创新立项项目(编号:赣地质2022-117-3)。
关键词 GPM 降水量 精度验证 时空变化 华东地区 GPM precipitation accuracy verification temporal and spatial variation East China
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