气候变化领域集成服务门户(CCPortal): Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia

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DOI	10.1016/j.atmosres.2020.104879
	Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia
	Cavalcante R.B.L.; Ferreira D.B.D.S.; Pontes P.R.M.; Tedeschi R.G.; da Costa C.P.W.; de Souza E.B.
发表日期	2020
ISSN	0169-8095
卷号	238
英文摘要	Since several datasets are available with marked differences, the assessment of precipitation data is a key aspect to support the choice of the most adequate precipitation product for a certain research or operational application. In the present study, we evaluated the use of the daily rainfall dataset from CHIRPS with spatial resolution of 0.05° for different purposes in the states of the Brazilian Legal Amazon. We compared monthly rainfall, annual rainfall indices and their trends calculated using CHIRPS data and rain gauge observations with a point-to-pixel analysis. The use of daily CHIRPS data provided mean monthly rainfall similar to that obtained using data from the rain gauge stations, but CHIRPS data tend to underestimate the values for the rainiest months. The correlation was usually lower in the western Amazon, especially during its rainy season. The same underestimation was observed for extreme rainfall indices. CHIRPS product produces more similar results to rain gauge data for the indices PRCPTOT, nP, and R95pad, while strong underestimate the most extreme rainfall indices (R50mm, Rx1day, Rx5days). For the 45 stations and 15 rainfall indices analysed, 63 significant trends were detected using rain gauge data, of which only 13 were detected using CHIRPS product. Therefore, the use of CHIRPS data does not well represent the trends in rainfall indices. © 2020 Elsevier B.V.
英文关键词	Amazon; CHIRPS; Extreme rainfall; Rainfall trends
学科领域	Chirp modulation; Rain gages; Amazon; Brazilian Amazonia; CHIRPS; Extreme rainfall; Operational applications; Precipitation data; Precipitation products; Rainfall trends; Rain; annual variation; correlation; estimation method; extreme event; pixel; precipitation intensity; rainfall; raingauge; regional climate; trend analysis; Amazonia; Brazil
语种	英语
scopus关键词	Chirp modulation; Rain gages; Amazon; Brazilian Amazonia; CHIRPS; Extreme rainfall; Operational applications; Precipitation data; Precipitation products; Rainfall trends; Rain; annual variation; correlation; estimation method; extreme event; pixel; precipitation intensity; rainfall; raingauge; regional climate; trend analysis; Amazonia; Brazil
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/120435
作者单位	Instituto Tecnológico Vale – Desenvolvimento Sustentável, Brazil; Universidade Federal do Pará, Brazil
推荐引用方式 GB/T 7714	Cavalcante R.B.L.,Ferreira D.B.D.S.,Pontes P.R.M.,et al. Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia[J],2020,238.
APA	Cavalcante R.B.L.,Ferreira D.B.D.S.,Pontes P.R.M.,Tedeschi R.G.,da Costa C.P.W.,&de Souza E.B..(2020).Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia.Atmospheric Research,238.
MLA	Cavalcante R.B.L.,et al."Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia".Atmospheric Research 238(2020).