GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2020.104879
Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia
Lopes Cavalcante, Rosane Barbosa1; da Silva Ferreira, Douglas Batista1; Monteiro Pontes, Paulo Rogenes1; Tedeschi, Renata Goncalves1; Wanzeler da Costa, Claudia Priscila1; de Souza, Everaldo Barreiros2
2020-07-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2020
卷号238
文章类型Article
语种英语
国家Brazil
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 degrees 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, Rx1 day, 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.


英文关键词CHIRPS Extreme rainfall Rainfall trends Amazon
领域地球科学
收录类别SCI-E
WOS记录号WOS:000525323500015
WOS关键词SATELLITE ; PRODUCTS ; BASIN ; TEMPERATURE ; ACCURACY ; ATLANTIC ; DATASETS ; FLOODS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/289279
专题地球科学
作者单位1.Inst Tecnol Vale Dev Sustentavel, Belem, Para, Brazil;
2.Univ Fed Para, Belem, Para, Brazil
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GB/T 7714
Lopes Cavalcante, Rosane Barbosa,da Silva Ferreira, Douglas Batista,Monteiro Pontes, Paulo Rogenes,et al. Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia[J]. ATMOSPHERIC RESEARCH,2020,238.
APA Lopes Cavalcante, Rosane Barbosa,da Silva Ferreira, Douglas Batista,Monteiro Pontes, Paulo Rogenes,Tedeschi, Renata Goncalves,Wanzeler da Costa, Claudia Priscila,&de Souza, Everaldo Barreiros.(2020).Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia.ATMOSPHERIC RESEARCH,238.
MLA Lopes Cavalcante, Rosane Barbosa,et al."Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia".ATMOSPHERIC RESEARCH 238(2020).
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