气候变化领域集成服务门户(CCPortal): Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge

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DOI	10.1080/01431161.2019.1584686
	Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge
	Li, Weiyue; He, Xiaogang; Sun, Weiwei; Scaioni, Marco; Yao, Dongjing; Fu, Jing; Chen, Yu; Liu, Bin; Gao, Jun; Li, Xin; Cheng, Guodong
通讯作者	Li, WY ; Fu, J (通讯作者)
发表日期	2019
ISSN	0143-1161
EISSN	1366-5901
起始页码	5875
结束页码	5891
卷号	40 期号:15
英文摘要	Gridded precipitation products have been widely used in scientific literatures, e.g., weather forecasting, hydrological process modelling and disaster simulating. However, it is necessary to evaluate their accuracies before using them for practical purposes. In this study, three mainstream different-spatial-scale daily gridded precipitation data (GPD), including [Global Satellite Mapping of Precipitation-gauge adjusted (GSMAP_Gauge), TRMM 3B42 version-7 (TRMM 3B42V7) and Global Precipitation Climatology Project version 1.2 (GPCP-V1.2)] were systematically evaluated against local rain gauges for their ability to detect precipitation characteristics of Shanghai in 2008 based on upscaling of rain gauge. In general, the gridded precipitation products overestimate precipitation compared to upscaled ground observations (UGOs). However, all of the products have an obvious underestimation on extreme precipitation (>50 mm day(-1)). In contrast, the results show that GSMaP_Gauge has the highest correlation coefficient, TRMM 3B42V7 has the lowest RMSE, and Probability of Detection (POD) in GPCP-V1.2 is better than that in TRMM 3B42V7 and GSMaP_Gauge. As the spatial resolution decreases, the frequency and amount of extreme precipitation events decrease regardless of detection from UGOs and GPD. We also find that those heavy precipitation events detected from TRMM 3B42V7 at 0.25 degrees and 1.0 degrees are significantly underestimated. Overall, we believe that it is necessary to evaluate gridded precipitation products at the urban scale based on upscaling of rain gauge.
关键词	GLOBAL GRIDDED PRECIPITATION PASSIVE MICROWAVE URBAN WEATHER CLIMATOLOGY LANDSLIDES PROJECT CMORPH GSMAP AREAS
语种	英语
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000467756400010
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
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/259609
推荐引用方式 GB/T 7714	Li, Weiyue,He, Xiaogang,Sun, Weiwei,et al. Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge[J]. 中国科学院青藏高原研究所,2019,40(15).
APA	Li, Weiyue.,He, Xiaogang.,Sun, Weiwei.,Scaioni, Marco.,Yao, Dongjing.,...&Cheng, Guodong.(2019).Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(15).
MLA	Li, Weiyue,et al."Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.15(2019).