Climate variability and models

Study reveals tropical isoprene varies by region: Amazonia emission-controlled, Maritime Continent chemistry-controlled, and equatorial Africa intermediate, requiring region-specific atmospheric.

Neural networks leverage climate model data to predict how extreme rainfall, hail, and winds will shift geographically as climate changes, accounting for terrain effects.

Cropland expansion across tropical Africa produces nighttime cooling but hydroclimatically-dependent daytime effects, driven by turbulent heat flux changes tied to vegetation differences.

High-resolution climate projections for Pampanga and Pasig-Marikina-Laguna-Lake basins reveal intensifying rainfall extremes, elevated design rainfall, and increased seasonal variability.

Study projects atmospheric river frequency to double over South Pacific by mid-century, with robust trends emerging within 10-20 years first affecting southern New Zealand and Tasmania.

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.

Theoretical analysis explains why climate foundation models succeed at field prediction but fail at extreme event detection through in-context learning complexity.

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%.

75-year analysis reveals regional tropical cyclone patterns shift with climate phases, with highest activity in the Western Pacific and strong associations with El Niño and La Niña conditions.

GloMarGridding isolates and assesses structural uncertainty from spatial interpolation in global temperature datasets using Gaussian Process Regression Modelling.

Study shows Alberta's electricity demand increasingly sensitive to temperature extremes, with hot days rising since 1991 and demand peaks doubling in some cities over recent decades.

Modified isotopic mixing model for estimating precipitation moisture sources in southwest China using transpiration ratios and leaf area index constraints.

Study examines how aerosol and greenhouse gas reductions under carbon neutrality create regionally divergent wildfire impacts in China, with competing mechanisms driving risk changes.

A statistical method corrects biases in Greenland ice sheet snow accumulation estimates from climate models, reducing uncertainties in sea-level rise projections.

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.

Study reveals how forecasting systems and drought management plans enable European institutions to respond 1-2 months earlier during droughts, with higher effectiveness ratings across 30 countries.

Mechanistic framework for marine heatwave characterization integrating spatiotemporal evolution with attribution of dominant physical drivers using kinematic object-based approaches.

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