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

DOI	10.1016/j.aosl.2021.100055
	Satellite estimates and subpixel variability of rainfall in a semi-arid grassland
	Chen, Yong; Duan, Jing; An, Junling; Liu, Huizhi; Goersdorf, Ulrich; Berger, Franz H.
通讯作者	Duan, J (corresponding author), Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China. ; Duan, J (corresponding author), Chinese Acad Meteorol Sci, Key Lab Cloud Phys, China Meteorol Adm, Beijing, Peoples R China.
来源期刊	ATMOSPHERIC AND OCEANIC SCIENCE LETTERS
ISSN	1674-2834
EISSN	2376-6123
出版年	2021
卷号	14 期号:5
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.
英文关键词	Satellite rainfall estimation Rainfall variability Micro Rain Radar TRMM
类型	Article
语种	英语
开放获取类型	gold
收录类别	ESCI
WOS记录号	WOS:000677668200009
WOS关键词	RAINDROP SIZE DISTRIBUTIONS ; PRECIPITATION ESTIMATION ; NETWORK
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
来源机构	中国科学院大气物理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362642
作者单位	[Chen, Yong; An, Junling; Liu, Huizhi] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing, Peoples R China; [Duan, Jing] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China; [Duan, Jing] Chinese Acad Meteorol Sci, Key Lab Cloud Phys, China Meteorol Adm, Beijing, Peoples R China; [Goersdorf, Ulrich; Berger, Franz H.] Deutsch Wetterdienst, Meteorol Observ Lindenberg, Richard Assmann Observ, Lindenberg, Germany
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]. 中国科学院大气物理研究所,2021,14(5).
APA	Chen, Yong,Duan, Jing,An, Junling,Liu, Huizhi,Goersdorf, 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).