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 CMIP6-based global assessment projects that soil moisture droughts will become longer and more severe by 2050, pushing agricultural ...
New ecological niche modeling shows the frugivorous bat Vampyrodes major may keep nearly all its suitable habitat through 2060, while ...
MaxEnt modeling under CMIP6 climate scenarios projects that suitable habitat for the destructive bamboo borer Dinoderus minutus could expand from ...
A new study finds that climate-driven flooding could inflict losses of up to 1.2 billion yuan at highly concentrated lithium ...
A spatially explicit modeling study projects that forest cover in Brazil's São Francisco River Basin could fall by up to ...
A first-of-its-kind land surface model study projects that South Africa's Limpopo River Basin will face flood peaks more than 50 ...
A new probabilistic and machine learning framework maps how climate change will accelerate carbonation-induced reinforcement corrosion across Brazil, revealing sharp ...
A new CMIP6-based study projects significant warming and shifting seasonal rainfall across Ethiopia's Arabica coffee regions, threatening yields and bean ...
A new study combining laboratory physiology with species distribution modeling projects that lemon balm's suitable habitat in Türkiye could more ...
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© 2025 Scienmag - Science Magazine