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 …
DA Areru, FA Zimale, DW Goshime - Southern Ethiopia - papers.ssrn.com
Abstract Study region: Lake Abaya-Chamo Sub-basin, Ethiopia. Study focus: Assessment of
water resource development is hampered by hydro-meteorological data gaps at …
water resource development is hampered by hydro-meteorological data gaps at …
Integration of Machine Learning and Deep Learning Models for Daily Hydro-Meteorological Data Gap Filling and Prediction of Daily Rainfall in the Lake Abaya …
DA Areru, FA Zimale, DW Goshime - Southern Ethiopia - papers.ssrn.com
Abstract Study region: Lake Abaya-Chamo Sub-basin, Ethiopia. Study focus: Assessment of
water resource development is hampered by hydro-meteorological data gaps at …
water resource development is hampered by hydro-meteorological data gaps at …
Applying Deep Learning to Sub-seasonal to Seasonal (S2S) prediction of rainfall over Burkina Faso
A Toguyeni - 2021 - 197.159.135.214
This study proposes to predict rainfall on a Sub-seasonal to seasonal (S2S) time scale over
six (6) locations (Dori, Ouahigouya, Ouagadougou, Fada N'Gourma, Bobo-Dioulasso and …
six (6) locations (Dori, Ouahigouya, Ouagadougou, Fada N'Gourma, Bobo-Dioulasso and …