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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dc.contributor.authorWilmar L. Cerón
dc.contributor.authorJorge Molina‐Carpio
dc.contributor.authorIrma Ayes Rivera
dc.contributor.authorRita V. Andreoli
dc.contributor.authorMary Toshie Kayano
dc.contributor.authorTeresita Canchala
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T13:57:41Z
dc.date.available2026-03-22T13:57:41Z
dc.date.issued2020
dc.descriptionCitaciones: 41
dc.identifier.doi10.1007/s11069-020-04011-x
dc.identifier.urihttps://doi.org/10.1007/s11069-020-04011-x
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/43731
dc.language.isoen
dc.publisherSpringer Science+Business Media
dc.relation.ispartofNatural Hazards
dc.sourceNational Institute of Amazonian Research
dc.subjectClimatology
dc.subjectPrincipal component analysis
dc.subjectEmpirical orthogonal functions
dc.subjectPrecipitation
dc.subjectEnvironmental science
dc.subjectAnomaly (physics)
dc.subjectStructural basin
dc.subjectSpatial variability
dc.subjectGeology
dc.titleA principal component analysis approach to assess CHIRPS precipitation dataset for the study of climate variability of the La Plata Basin, Southern South America
dc.typearticle

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