Satellite estimates and subpixel variability of rainfall in a semi-arid grassland

被引：0
|
作者：
Yong Chen [1 ]
Jing Duan [2 ]
Junling An [1 ]
Huizhi Liu [1 ]
Ulrich G?rsdorf [3 ]
Franz H.Berger [3 ]
机构：
[1] State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences
[2] State Key Laboratory of Severe Weather & Key Laboratory for Cloud Physics of China Meteorological Administration,Chinese Academy of Meteorological Sciences
[3] Meteorologisches Observatorium Lindenberg/Richard Aβmann Observatory,Deutscher Wetterdienst
来源：
AtmosphericandOceanicScienceLetters | 2021年 / 14卷 / 05期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
卫星估算降雨; 降雨非均匀性; 微雨雷达; TRMM;
D O I：
暂无
中图分类号：
P412.27 [卫星探测]; P426.6 [降水];
学科分类号：
摘要：
卫星估雨精度的不确定性受到当地降雨类型和像元内降雨非均匀性影响,而结合这两个关键因素开展半干旱草原卫星估雨的研究有限.2009年夏,我们在中国锡林郭勒半干旱草原用多部微雨雷达和雨量计构建了9 km卫星像元降雨观测网,观测了像元内降雨非均匀性(空间变异系数CV),并评估了卫星估雨精度.结果表明:(1) CV值受像元内平均降雨量,降雨类型,降雨云面积及移向等影响,如高CV值的降雨过程大多为平均降雨量小,对流性降雨过程,降雨云边缘像元CV值较高;(2) TRMM 3B42V7卫星估雨产品适用性较好,CMORPH和PERSIANN次之,但TRMM3B42V7易在半干旱草原湖泊处高估降雨.
引用
收藏
页码：26 / 31
页数：6
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