Estimation of missing data of monthly rainfall in southwestern Colombia using artificial neural networks

The success of many projects linked to the management and planning of water resources depends mainly on the quality of the climatic and hydrological data that is provided. Nevertheless, the missing data are frequently found in hydroclimatic variables due to measuring instrument failures, observation...

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Bibliographic Details
Main Authors: Teresita Canchala-Nastar, Yesid Carvajal-Escobar, Wilfredo Alfonso-Morales, Wilmar Loaiza Cerón, Eduardo Caicedo
Format: Article
Language:English
Published: Elsevier 2019-10-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340919308728