Tag: Climate variability and models

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

Neural network predicts shifts in extreme weather frequency
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in MeteorologyNeural networks leverage climate model data to predict how extreme rainfall, hail, and winds will shift geographically as climate changes, accounting for terrain effects.

Downscaled projections show stronger rainfall extremes in two Philippine basins
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in ClimatologyHigh-resolution climate projections for Pampanga and Pasig-Marikina-Laguna-Lake basins reveal intensifying rainfall extremes, elevated design rainfall, and increased seasonal variability.

Landfalling South Pacific atmospheric rivers are projected to intensify
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in MeteorologyStudy 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.

Climate change intensified Valencia’s 2024 flash flood rainfall
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%.

Tropical cyclone patterns shifted across basins from 1950 to 2024
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.

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

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

Bias-corrected Greenland accumulation maps align more closely with observations
A statistical method corrects biases in Greenland ice sheet snow accumulation estimates from climate models, reducing uncertainties in sea-level rise projections.









