干旱区生态环境知识资源中心(Arid): Satellite estimates and subpixel variability of rainfall in a semi-arid grassland

Arid

	Satellite estimates and subpixel variability of rainfall in a semi-arid grassland
	Chen Yong; Duan Jing; An Junling; Liu Huizhi; Gorsdorf Ulrich; Berger Franz H
来源期刊	Atmospheric and Oceanic Science Letters
ISSN	1674-2834
出版年	2021
卷号	14 期号:5
中文摘要	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TRMM 3B42V7易在半干旱草原湖泊处高估降雨.
英文摘要	Uncertainties in satellite rainfall estimation may derive from both the local rainfall characteristics and its subpixel variability. To study this issue, Micro Rain Radars and a rain gauge network were deployed within a 9-km satellite pixel in the semi-arid Xilingol grassland of China in summer 2009. The authors characterized the subpixel variability with the coefficient of variation (CV) and evaluated the satellite rainfall estimation for this semi-arid area. The results showed that rainfall events with a high CV were mostly convective with a small amount of rainfall. Spatially inhomogeneous rainfall was most likely to occur at the edges of small clouds producing rain. The performance of the TRMM (Tropical Rainfall Measuring Mission) 3B42V7 product for daily rainfall was better than that of the CMORPH (Climate Prediction Center morphing technique) and PERSIANN (Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks) products, although the TRMM product tended to overestimate rainfall in a lake area of the semi-arid grassland.
中文关键词	卫星估算降雨 ; 降雨非均匀性 ; 微雨雷达
英文关键词	Satellite rainfall estimation Rainfall variability Micro Rain Radar TRMM TRMM
类型	Article
语种	英语
开放获取类型	gold
收录类别	CSCD
WOS类目	Science & Technology - Other Topics
CSCD记录号	CSCD:7043623
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377406
作者单位	Chen Yong, Institute of Atmospheric Physics, Chinese Academy of Sciences, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Beijing China.; An Junling, Institute of Atmospheric Physics, Chinese Academy of Sciences, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Beijing China.; Liu Huizhi, Institute of Atmospheric Physics, Chinese Academy of Sciences, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Beijing China.; Duan Jing, State Key Laboratory of Severe Weather & Key Laboratory for Cloud Physics of China Meteorological Administration, Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather;;Key Laboratory for Cloud Physics of China Meteorological Administration, Chinese Academy of Meteorological Sciences, Beijing China.; Gorsdorf Ulrich, Meteorologisches Observatorium Lindenberg/Richard Apmann Observatory, Deutscher Wetterdienst, Lindenberg, Germany.; Berger Franz H,...
推荐引用方式 GB/T 7714	Chen Yong,Duan Jing,An Junling,et al. Satellite estimates and subpixel variability of rainfall in a semi-arid grassland[J],2021,14(5).
APA	Chen Yong,Duan Jing,An Junling,Liu Huizhi,Gorsdorf Ulrich,&Berger Franz H.(2021).Satellite estimates and subpixel variability of rainfall in a semi-arid grassland.Atmospheric and Oceanic Science Letters,14(5).
MLA	Chen Yong,et al."Satellite estimates and subpixel variability of rainfall in a semi-arid grassland".Atmospheric and Oceanic Science Letters 14.5(2021).