Cargando…
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...
Autores principales: | Canchala-Nastar, Teresita, Carvajal-Escobar, Yesid, Alfonso-Morales, Wilfredo, Loaiza Cerón, Wilmar, Caicedo, Eduardo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811873/ https://www.ncbi.nlm.nih.gov/pubmed/31667280 http://dx.doi.org/10.1016/j.dib.2019.104517 |
Ejemplares similares
-
Missing data estimation in extreme rainfall indices for the Metropolitan area of Cali - Colombia: An approach based on artificial neural networks
por: Ocampo-Marulanda, Camilo, et al.
Publicado: (2021) -
Sequías & adaptación : principios para su evaluación en sistemas productivos agrícolas del Valle del Cauca, Colombia /
por: Loaiza Cerón, Wilmar
Publicado: (2014) -
Rainfall partitioning in two native tree legumes in the Andean region, Colombia
por: Pabón-Morales, Miguel Á., et al.
Publicado: (2023) -
Imputation of missing daily rainfall data; A comparison between artificial intelligence and statistical techniques
por: Wangwongchai, Angkool, et al.
Publicado: (2023) -
Multidrug-Resistant Mycobacterium tuberculosis, Southwestern Colombia
por: Ferro, Beatriz E., et al.
Publicado: (2011)