气候变化领域集成服务门户(CCPortal): A principal component analysis approach to assess CHIRPS precipitation dataset for the study of climate variability of the La Plata Basin, Southern South America

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DOI	10.1007/s11069-020-04011-x
	A principal component analysis approach to assess CHIRPS precipitation dataset for the study of climate variability of the La Plata Basin, Southern South America
	Cerón W.L.; Molina-Carpio J.; Ayes Rivera I.; Andreoli R.V.; Kayano M.T.; Canchala T.
发表日期	2020
ISSN	0921030X
起始页码	767
结束页码	783
卷号	103 期号:1
英文摘要	This article assesses the consistency of the satellite precipitation estimate CHIRPS v.2 to describe the spatiotemporal rainfall variability in the La Plata Basin (LPB), the second largest hydrographic basin in South America, by (a) pixel-to-point comparison of CHIRPS data with 167 observed monthly precipitation time series using three pairwise metrics (coefficient of correlation, bias and root mean square error) and (b) principal component analysis (PCA) to evaluate the large-scale coherence between CHIRPS and rain gauge data. The pairwise metrics indicate that CHIRPS better represents the rainfall in the coastal, northeastern and southeastern parts of the basin than in the Andean region to the west. The PCA shows that CHIRPS describes most of the observed rainfall variability in the LPB, but contains more variability, especially during December–February and March–May seasons. The two major modes observed are highly correlated spatially (empirical orthogonal functions—EOFs) and temporally (principal components—PCs) with the corresponding CHIRPS modes. The PCA allows the determination of the main rainfall variability modes and their possible relations with climate variability modes. Besides, the analyses of the precipitation anomaly modes show that the El Niño Southern Oscillation explains the first EOF modes of datasets. The PCA provides an alternative and effective means of assessing the consistency of CHIRPS data in representing spatial and temporal rainfall variability in the LPB. © 2020, Springer Nature B.V.
关键词	CHIRPS La Plata Basin Performance metrics Principal component analysis Satellite precipitation estimate
英文关键词	climate change; data set; meteorological hazard; precipitation assessment; principal component analysis; raingauge; satellite data; spatiotemporal analysis; La Plata Basin
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205622
作者单位	Department of Geography, Faculty of Humanities, Universidad del Valle, Calle 13 #100-00, Cali, 25360, Colombia; Programa de Pós-Graduação em Clima e Ambiente (CLIAMB, INPA/UEA), Av. André Araújo, 2936, Campus II, Aleixo, Manaus, AM 69060-001, Brazil; Instituto de Hidráulica e Hidrología, Universidad Mayor de San Andrés, calle 30 Cota Cota, La Paz, Bolivia; Escola Superior de Tecnologia, Universidade do Estado do Amazonas, Av. Darcy Vargas, 1200, Parque 10 de Novembro, Manaus, AM 69065-020, Brazil; Centro de Previsão de Tempo e Estudos Climáticos, Divisão de Modelagem e Desenvolvimento, Instituto Nacional de Pesquisas Espaciais, Av. dos Astronautas, 1758, São José dos Campos, SP 12227-010, Brazil; Research Group in Water Resources Engineering and Soil (IREHISA), School of Natural Resources and Environmental Engineering, Universidad del Valle, Cali, Colombia
推荐引用方式 GB/T 7714	Cerón W.L.,Molina-Carpio J.,Ayes Rivera I.,et al. A principal component analysis approach to assess CHIRPS precipitation dataset for the study of climate variability of the La Plata Basin, Southern South America[J],2020,103(1).
APA	Cerón W.L.,Molina-Carpio J.,Ayes Rivera I.,Andreoli R.V.,Kayano M.T.,&Canchala T..(2020).A principal component analysis approach to assess CHIRPS precipitation dataset for the study of climate variability of the La Plata Basin, Southern South America.Natural Hazards,103(1).
MLA	Cerón W.L.,et al."A principal component analysis approach to assess CHIRPS precipitation dataset for the study of climate variability of the La Plata Basin, Southern South America".Natural Hazards 103.1(2020).