Tag: Meteorological Phenomena and Simulations
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.
CMIP6 models project stronger precipitation extremes in the Kosi Basin
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in ClimatologyCMIP6 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.
Climate explains mean storm activity more than individual storm features
Machine learning reveals how seasonal climate and synoptic conditions differently control storm activity, with climate trends more strongly affecting storm heat anomalies than intensity.
