AI Learns to Predict the Moment of No Return in Climate and Flight Systems
A Caltech-led team has shown that a recurrent neural operator can forecast irreversible tipping points in climate and aerodynamic models ...
A Caltech-led team has shown that a recurrent neural operator can forecast irreversible tipping points in climate and aerodynamic models ...
High-resolution simulations of 45 extreme rainfall events show that Manaus's urban surface intensifies Amazonian downpours by up to 16.8 percent ...
A new attribution study finds that greenhouse gas forcing, not aerosols or natural variability, is amplifying the contrast between wet ...
Researchers introduced TRAILS, a framework that combines satellite observations with trajectory modeling to dynamically attribute long-range transported wildfire smoke by ...
A $1 million NSF-funded Washington University team will use physics-informed generative AI and causal statistics to isolate how wildfire-smoke aerosols ...
Wind-tunnel experiments in Inner Mongolia reveal that fine dust particles settle most efficiently at a gentle breeze of about 2 ...
A new Nature Communications study finds that extreme precipitation in East Asia exhibits hysteresis, failing to return to initial levels ...
Scientists overhauled the snow physics of Canada's CLASSIC land surface model, cutting Arctic snow depth and soil temperature errors dramatically ...
A new model-data synthesis of benthic foraminiferal oxygen isotopes indicates the Miocene Climatic Optimum was about 7.5 degrees Celsius warmer ...
A high-resolution simulation of Typhoon Molave's 2020 landfall in the Philippines shows that mountains beneath a typhoon create gravity waves ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine