Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region

Mouatadid, Soukayna; Raj, Nawin; Deo, Ravinesh C.; Adamowski, Jan F.

doi:10.1016/j.atmosres.2018.05.012

Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region

Type de ressource

Auteurs/contributeurs

Mouatadid, Soukayna (Auteur)
Raj, Nawin (Auteur)
Deo, Ravinesh C. (Auteur)
Adamowski, Jan F. (Auteur)

Titre

Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region

Publication

Atmospheric Research

Volume

212

Pages

130-149

Date

11/2018

Abrév. de revue

Atmospheric Research

Langue

en

DOI

10.1016/j.atmosres.2018.05.012

ISSN

01698095

URL

https://linkinghub.elsevier.com/retrieve/pii/S0169809518300954

Consulté le

2024-05-25 11 h 11

Catalogue de bibl.

DOI.org (Crossref)

Référence

Mouatadid, S., Raj, N., Deo, R. C., & Adamowski, J. F. (2018). Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region. Atmospheric Research, 212, 130–149. https://doi.org/10.1016/j.atmosres.2018.05.012

Types d'événements extrêmes

Sécheresses et canicules

Lien vers cette notice

https://bibliographies.uqam.ca/riisq/bibliographie/32MVUN9C