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 PLOS Water analysis argues that politics, media framing, and underused treaty provisions have transformed the Indus Waters Treaty ...
Early career polar researchers argue that the fifth International Polar Year in 2032-2033 must redefine research impact and embed responsible ...
A new 43-year global database applies ten different marine heatwave definitions in parallel, revealing how methodological choices reshape our picture ...
A four-decade satellite analysis of Brazil's Cananéia-Iguape mangroves shows regional warming of about 0.20 degrees Celsius per decade and reveals ...
A twenty-year cohort study in Hubei Province, China, finds that long-term ozone exposure and frequent cold spells each raise AIDS-related ...
A qualitative study of 42 stakeholders in Nairobi shows that climate change, governance failures, and power dynamics interact across the ...
The open-access journal PLOS Ecosystems published its first issue on September 8, 2026, debuting with multidisciplinary research on biodiversity, ecosystems, ...
A new study shows that an observation-trained LSTM neural network can produce stable and physically plausible runoff projections for Switzerland ...
An unsupervised machine learning analysis of ERA5 reanalysis data shows that Western European heatwaves are undergoing structural shifts in their ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine