Missing data estimation in extreme rainfall indices for the Metropolitan area of Cali - Colombia: An approach based on artificial neural networks

Changes observed in the current climate and projected for the future significantly concern researchers, decision-makers, and the general public. Climate indices of extreme rainfall events are a trend assessment tool to detect climate variability and change signals, which have an average reliability...

Full description

Autores:

Ocampo-Marulanda, Camilo
Cerón Loaiza, Wilmar
Avila Diaz, Alvaro Javier
Canchala Nastar, Teresita del Rocio
Alfonso-Morales, Wilfredo
Kayano, Mary
Torres, Roger R.

Tipo de recurso:

Article of investigation

Fecha de publicación:

2021

Institución:

Universidad de Ciencias Aplicadas y Ambientales U.D.C.A

Repositorio:

Repositorio Institucional UDCA

Idioma:

eng

OAI Identifier:

oai:repository.udca.edu.co:11158/4462

Acceso en línea:

https://repository.udca.edu.co/handle/11158/4462
https://doi.org/10.1016/j.dib.2021.107592

Palabra clave:

NLPCA
ETCCDI indices
Complete missing data
Sistema climático
Precipitación atmosférica

Rights

openAccess

License

https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es