Machine Learning Maps Climate Risks to West Africa’s Hydropower Future
A five-step machine learning framework projects sharp, basin-specific declines and surprising gains in West African hydropower under future climate scenarios.
A five-step machine learning framework projects sharp, basin-specific declines and surprising gains in West African hydropower under future climate scenarios.
A new study tested five satellite and reanalysis rainfall products against 23 Egyptian rain gauges and used deep neural networks ...
A new PLOS Water study finds that machine learning bias correction can transform flawed satellite rainfall and modelled river discharge ...
A nearly four-decade analysis of Sudan's Gedaref State shows that the internal structure of seasonal rainfall, including onset timing, dry ...
A new study testing twelve gridded precipitation datasets against 120 weather stations across Central-West Brazil finds that the gauge-based BR-DWGD ...
A 21-year satellite analysis of northwestern Algeria shows significant drying across all rainfall timescales since 2015, with vegetation health declining ...
A 35-year statistical analysis of satellite rainfall data shows Warangal district in Telangana is experiencing significant increasing rainfall trends punctuated ...
A systematic test of thirteen RegCM5 configurations over Côte d'Ivoire's Bandama watershed shows that the choice of convection scheme can ...
Scientists have built the scientific foundation for Cambodia's first automated agrometeorological service, mapping rainy-season onset, cessation, and duration across the ...
A Lagrangian analysis reveals that the tropical Indian Ocean supplied nearly two-thirds of the moisture behind the devastating May 2017 ...
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© 2025 Scienmag - Science Magazine