干旱区生态环境知识资源中心(Arid): The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia

Arid

DOI	10.1016/j.atmosres.2021.105452
	The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia
	Lu, Xinyu; Tang, Guoqiang; Liu, Xinchun; Wang, Xiuqin; Liu, Yan; Wei, Ming
通讯作者	Liu, XC (corresponding author), China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China. ; Tang, GQ (corresponding author), Univ Saskatchewan, Coldwater Lab, Canmore, AB, Canada.
来源期刊	ATMOSPHERIC RESEARCH
ISSN	0169-8095
EISSN	1873-2895
出版年	2021
卷号	252
英文摘要	Although satellite-based precipitation estimation has extensive application potential, validation of its reliability is challenging for areas lacking ground-based data which is particularly true for many arid and semiarid regions. The triple collocation (TC) method can be used to evaluate three independent inputs with unknown true values, and thus provides an appealing alternative for assessment of satellite precipitation products in lack of observation regions. This study is the first to utilize TC to comprehensively assess the uncertainties of various satellite precipitation products in Central Asia (CA) with a distinctive continental arid and semi-arid climate. TC requires the errors of inputs to be independent with each other, while many multi-satellite precipitation products use overlapped data sources. To address this problem, this study uses a soil moisture-based product (SM2RAIN) and a reanalysis model-based product (ERA5) as two inputs of a triplet with the last input coming from each one of the six satellite precipitation products (3B42, CHIRPS, CMORPH, GSMaP, IMERG, PERSIANN). Six independent triplets are obtained in this way. The temporal/spatial resolution is daily/0.1. and the period is 2007-2019. The results show the overall performance of GSMaP is best among eight gridded precipitation products over CA, followed by IMERG, CMORPH and PERSIANN. All precipitation products show degraded performance with increasing altitude. Moreover, the accuracy estimates are subjected to uncertainties caused by the TC method and data inputs. Overall, the study concludes the TC method can provide a new perspective for the assessment of precipitation products over data-absent arid and semiarid regions, while careful check and explanation of evaluation results are always necessary to defend the rationality of TC in specific cases.
英文关键词	Triple collocation Satellite precipitation Assessment Central Asia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000656833100006
WOS关键词	SOIL-MOISTURE ; DATA SETS ; RAINFALL ; ERRORS ; REANALYSIS ; MICROWAVE ; CLIMATE ; RADAR ; MODIS
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
来源机构	南京信息工程大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368849
作者单位	[Lu, Xinyu; Liu, Xinchun; Wang, Xiuqin; Liu, Yan] China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China; [Lu, Xinyu] Cent Asia Res Ctr Atmosphere Sci, Urumqi 830002, Peoples R China; [Tang, Guoqiang] Univ Saskatchewan, Coldwater Lab, Canmore, AB, Canada; [Tang, Guoqiang] Univ Saskatchewan, Ctr Hydrol, Saskatoon, SK, Canada; [Wei, Ming] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Peoples R China
推荐引用方式 GB/T 7714	Lu, Xinyu,Tang, Guoqiang,Liu, Xinchun,et al. The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia[J]. 南京信息工程大学,2021,252.
APA	Lu, Xinyu,Tang, Guoqiang,Liu, Xinchun,Wang, Xiuqin,Liu, Yan,&Wei, Ming.(2021).The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia.ATMOSPHERIC RESEARCH,252.
MLA	Lu, Xinyu,et al."The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia".ATMOSPHERIC RESEARCH 252(2021).