气候变化领域集成服务门户(CCPortal): The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia

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DOI	10.1016/j.atmosres.2021.105452
	The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia
	Lu X.; Tang G.; Liu X.; Wang X.; Liu Y.; Wei M.
发表日期	2021
ISSN	0169-8095
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. © 2021 Elsevier B.V.
英文关键词	Assessment; Central Asia; Satellite precipitation; Triple collocation
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/236871
作者单位	Institute of Desert Meteorology, China Meteorological Administration, Urumqi, 830002, China; Central-Asia Research Center of Atmosphere Science, Urumqi, 830002, China; University of Saskatchewan Coldwater Lab, Canmore, Canada; Center for Hydrology, University of Saskatchewan, Saskatchewan, Canada; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, 210044, China
推荐引用方式 GB/T 7714	Lu X.,Tang G.,Liu X.,et al. The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia[J],2021,252.
APA	Lu X.,Tang G.,Liu X.,Wang X.,Liu Y.,&Wei M..(2021).The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia.Atmospheric Research,252.
MLA	Lu X.,et al."The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia".Atmospheric Research 252(2021).