A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis

A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis

Long and temporal time-consistency rainfall time series are essential for studying climate; nevertheless, raingauge stations are unevenly distributed across southwestern Colombia. This research paper assesses the consistency of the satellite rainfall estimate from Climate Hazards Group Infrared Prec...

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Bibliographic Details
Main Authors: Camilo Ocampo-Marulanda, Cristhian Fernández-Álvarez, Wilmar L. Cerón, Teresita Canchala, Yesid Carvajal-Escobar, Wilfredo Alfonso-Morales
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Ain Shams Engineering Journal
Subjects:
Combined Principal Component Analyses
Pairwise comparison
Satellite rainfall estimates and Southwestern Colombia
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447922000508

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http://www.sciencedirect.com/science/article/pii/S2090447922000508

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