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

AI-driven climate and disaster modeling

Showing 229-240 of 295 articles

Modeling crop resilience during impact winter scenarios following large asteroid collisions

Mapping glacier dynamics across Milankovitch cycles using space-based interferometric radar

Across magma chamber dynamics during supervolcano eruption cycles

Mapping magma chamber dynamics using distributed fiber-optic seismic networks

Neurosymbolic integration for real-time asteroid threat assessment during solar maximum

Predicting coronal mass ejection impacts during the 2025-2035 solar maximum

Anticipating 2080 population peaks with high-resolution demographic climate models

Controlling magma chamber dynamics to improve volcanic eruption forecasting

Anticipating 2080 population peaks through coupled demographic-climate migration models

Modeling tectonic plate movements across subduction zones using high-resolution seismic tomography

Synthesizing future-historical approaches to predict climate migration patterns using agent-based modeling

For volcanic winter preparation using stratospheric aerosol monitoring and climate modeling