Integration of machine learning and deep learning models for hydro-meteorological data gap filling and prediction of daily rainfall in the Lake Abaya-Chamo Sub-basin, South Ethiopia

Domaine:

climate

Type de record:

paper

Créateur:

DesFasDem

Éditeur:

Elsevier BV

Hôte:

Visit

Languages

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-license http://creativecommons.org/licenses/by/4.0/

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Integration of Machine Learning and Deep Learning Models for Daily Hydro-Meteorological Data Gap Filling and Prediction of Daily Rainfall in the Lake Abaya-Chamo Sub-Basin, Southern EthiopiaIntegration of Machine Learning and Deep Learning Models For Hydro-Meteorological Data Gap Filling and Prediction of Daily Rainfall in the Lake Abaya-Chamo Sub-Basin, Southern Ethiopia

Integration of Machine Learning and Deep Learning Models for Daily Hydro-Meteorological Data Gap Filling and Prediction of Daily Rainfall in the Lake Abaya-Chamo Sub-Basin, Southern Ethiopia

Integration of Machine Learning and Deep Learning Models For Hydro-Meteorological Data Gap Filling and Prediction of Daily Rainfall in the Lake Abaya-Chamo Sub-Basin, Southern Ethiopia