A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis
Under a Creative Commons license
open access
Keywords
Combined Principal Component Analyses
Pairwise comparison
Satellite rainfall estimates and Southwestern Colombia
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Camilo Ocampo Marulanda, is a researcher at the Faculty of Engineering of the Universidad del Valle in Cali - Colombia. Affiliated to the research group of Water Resources and Soil Engineering IREHISA since 2016. The author is a sanitary and environmental engineer, agricultural engineer and master in engineering. He currently teaches in the Faculty of Natural Sciences and Engineering at the Fundación Universitaria de San Gil, Yopal-Colombia. His research topics have been climatology, extreme weather events, geography and hydrology. Additional and updated information can be found at: https://www.linkedin.com/in/camilo-ocampo-marulanda-51a880119/. Contact me at: [email protected]
Peer review under responsibility of Ain Shams University.
© 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.