Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven climate and disaster modeling

AI-driven climate and disaster modeling

Showing 73-84 of 295 articles

Using AI-driven wildfire prediction models to optimize controlled burn strategies

Predicting earthquake precursors across galactic distances using reaction prediction transformers

For 2040 climate migration scenarios: predictive modeling of urban heat island effects on displaced populations

For volcanic winter preparation using stratospheric aerosol reflectance modeling

Updating Cold War research on atmospheric ionization for wildfire suppression

Planning for next glacial period using paleoclimate data and climate models

Uniting paleoclimatology with AI prediction to model ancient climate tipping points

Across paleomagnetic reversals with controversial but promising approaches to geomagnetic forecasting

Using AI-driven wildfire prediction models for early evacuation planning in urban-wildland interfaces

Synthesizing future-historical approaches to simulate post-climate collapse societal adaptations

Using AI-driven wildfire prediction models with satellite and IoT data fusion

For supernova event readiness in nearby stellar systems