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

AI-driven climate and disaster modeling

Showing 49-60 of 295 articles

Projecting 2030 infrastructure needs for Arctic shipping routes under ice-free scenarios

Anticipating 2080 population peaks through agent-based migration modeling

Developing AI-driven wildfire prediction models with real-time satellite data integration

Modeling coastal urban infrastructure resilience against 2100 sea level rise scenarios

Planning for next glacial period using paleoclimate data and ice core analysis

Across magma chamber dynamics to forecast supereruption precursors

Predicting space weather impacts during the 2025-2035 solar maximum cycle

Predicting coastal city resilience considering 2100 sea level rise scenarios

Across paleomagnetic reversals to decode Earth's core dynamics and climate links

Synthesizing future-historical approaches to predict impact winter agricultural resilience

Anticipating 2080 population peaks through coupled demographic-climate modeling

Predicting 2040 climate migration patterns using AI-driven socioeconomic modeling