An interactive map showing areas threatened by sea level rise and coastal flooding. Combining the most advanced global model of coastal elevations with the latest projections for future flood levels.
Source identity and required public metadata were editorially reviewed on 2026-09-15.
Climate Central. Date unknown. Coastal Risk Finder. https://app.climatecentral.org/coastal-risk-finder (AI & Environment Resource Hub; record atlas-79753b5cf3ae; collection snapshot 2026-09-15).
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Severe flash floods in Charikar, Afghanistan, on August 26, 2020, were driven by extreme atmospheric instability, deep low-level convergence, and local topography, with climate change intensifying frontal activity and baroclinicity in the region.
Journal of Water and Climate Change
Shared topics: Water; Oceans and coasts; Weather, hazards, and adaptation
Analysis of rainfall extremes in Côte d'Ivoire's watersheds (1976–2050) reveals decreasing drought indices in historical data but increasing flood-related indices under RCP 4.5 and RCP 8.5 scenarios, highlighting growing climate-induced disaster risks.
Journal of Water and Climate Change
Shared topics: Water; Oceans and coasts; Weather, hazards, and adaptation
Machine learning models predict hydrological changes in the 3S River Basin under climate change scenarios, showing increased flood risk in some areas and reduced streamflow in others.
Journal of Water and Climate Change
Shared topics: Water; Oceans and coasts; Weather, hazards, and adaptation
Floods impact millions of people worldwide every year, causing devastation to homes, communities, and livelihoods. But what if we could predict them earlier and more accurately through WeatherLabs, Google's newest AI tool for predicting extreme weather including cyclones.