Precipitation

Climate models show fire weather conditions driven by human warming already detectable in 39% of burnable areas, with dangerous extremes emerging at 2–3°C warming in multiple regions.

Study shows extreme droughts, floods, and wildfires could occur at 2°C warming, exceeding impacts projected for 3-4°C. New sector-focused assessment reveals risks hidden by standard climate models.

EICP biomimetic mineralization strengthens Yili loess under freeze-thaw conditions, increasing compressive strength 1.5-fold and restricting moisture migration in cold regions.

Attribution study shows anthropogenic climate change amplified extreme rainfall and flash flooding in Valencia, October 2024, increasing 6-hour rainfall by 21% and affected area by 55%.

New index based on precipitation and evapotranspiration ratio reveals land relative humidity decreased substantially since 1973, reconciles climate model discrepancies, and improves hydroclimate.

CMIP6 climate models project intensified precipitation extremes in the Kosi Basin, with 47-79% increases in rainfall by 2100, critical for flood risk management and water resource planning.

Study analyzes compound drought-heatwave events across Africa 1979-2024, revealing acceleration trends and spatiotemporal patterns with implications for climate vulnerability and adaptation.

Climate change threatens mammal and bird distributions in the Altai Mountains. MaxEnt modeling reveals habitat loss and range shifts toward higher elevations, with human activities and snow cover.

Four years of continuous sewer hydraulic and water quality data from Austria with precipitation records and hydrodynamic model for combined sewer system analysis and pollutant transport research

SnowModel simulations project increased rain-on-snow events in the upper Gallatin River watershed, with significant hydrologic implications for streamflow and aquatic ecosystems under future.

Study identifies atmospheric circulation patterns and cross-regional evaporation precursors driving extreme precipitation trends in North China using information flow analysis.

Kilometre-scale convection-permitting simulations significantly improve extreme precipitation forecasting accuracy in Qinghai's eastern valleys by better representing valley circulation patterns.

Projection of flood susceptibility in the Kabul River Basin through 2100 integrating climate, population, and land cover dynamics using XGBoost machine learning with high predictive accuracy.

Study uses cloud seeding experiments and deep learning to identify ice crystal concentration as the dominant factor controlling aggregation rates in supercooled clouds, with implications for.