气候变化领域集成服务门户(CCPortal): Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations

CCPortal

DOI	10.1109/LGRS.2019.2907532
	Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations
	Li, Weiyue; Sun, Weiwei; He, Xiaogang; Scaioni, Marco; Yao, Dongjing; Chen, Yu; Gao, Jun; Li, Xin; Cheng, Guodong
通讯作者	Sun, WW (通讯作者)
发表日期	2019
ISSN	1545-598X
EISSN	1558-0571
起始页码	1678
结束页码	1682
卷号	16 期号:11
英文摘要	A clear bias exists in the widely used gridded precipitation products (GPPs) that result from factors about topography, climate, and retrieval algorithms. Many existing optimization works have a deficiency in validation and domain sizes, which makes the evaluation and corrections of the Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) product still challenging. In this letter, we propose a bias-correction approach that combines coarser-resolution gauge-based precipitation with a probability distribution function (PDF) to improve the accuracy of CHIRPS. The data from 27 local precipitation gauges in Shanghai are utilized to testify the performance of our method. Results explain that daily corrected CHIRPS (Cor-CHIRPS) product has higher accuracy than CHIRPS compared with ground truths (GrTs) in terms of both error statistics and detection capability, particularly in spring, autumn, and winter. Moreover, Cor-CHIRPS better captures the frequencies of precipitation events and well depicts the spatial characteristics of the annual precipitation.
关键词	MICROWAVE RADAR
英文关键词	Climate Hazards group InfraRed Precipitation with Station data (CHIRPS); correction; errors; gridded precipitation; spatial resolution; validation
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000496226100002
来源期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259601
推荐引用方式 GB/T 7714	Li, Weiyue,Sun, Weiwei,He, Xiaogang,et al. Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations[J]. 中国科学院青藏高原研究所,2019,16(11).
APA	Li, Weiyue.,Sun, Weiwei.,He, Xiaogang.,Scaioni, Marco.,Yao, Dongjing.,...&Cheng, Guodong.(2019).Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,16(11).
MLA	Li, Weiyue,et al."Improving CHIRPS Daily Satellite-Precipitation Products Using Coarser Ground Observations".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 16.11(2019).