Performance of Multiple Satellite Precipitation Estimates over a Typical Arid Mountainous Area of China: Spatiotemporal Patterns and Extremes

Autor:	Zhiyuan Wang, Qiuwen Chen, Kangle Mo, Yina Song, Zheng Duan, Zhe Li, Cheng Chen
Rok vydání:	2020
Předmět:	Atmospheric Science Hydrology (agriculture) Rain gauge Correlation coefficient Climatology Common spatial pattern Environmental science Satellite Precipitation Arid Spatial heterogeneity
Zdroj:	Journal of Hydrometeorology. 21:533-550
ISSN:	1525-7541 1525-755X
Popis:	Precipitation in arid mountainous areas is characterized by low rainfall intensity and large spatial heterogeneity, which challenges satellite-based monitoring by the spaceborne sensors. This study aims to comparatively evaluate the detection ability of spatiotemporal patterns and extremes of rainfall by a range of mainstream satellite precipitation products [TMPA, Climate Hazards Group Infrared Precipitation with Station Data (CHIRPS), and PERSIANN–Climate Data Record (PERSIANN-CDR)] over a typical arid mountainous basin of China, benchmarking against rain gauge data from 2000 to 2015. Results showed that satellite precipitation estimates had relatively low accuracy at the daily scale, while a significant improvement of correlation coefficient (CC; >0.6) and a significant reduction of relative root-mean-square error (RRMSE
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bc9bfd0fdfb984558d34b964a3821dd3 https://doi.org/10.1175/jhm-d-19-0167.1 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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