Tag: Atmospheric Science
Southern land evaporation linked to North China extreme rain
Study identifies atmospheric circulation patterns and cross-regional evaporation precursors driving extreme precipitation trends in North China using information flow analysis.
Regional transport increased ozone pollution in the Fen-Wei Plain
Study reveals cross-regional ozone transport contributes 65% of surface pollution in Fenwei Plain, with Hubei and Henan as dominant sources. Multi-source observations show transport drives.
Coastal aerosol types vary strongly by season worldwide
Analyze seasonal aerosol variations at coastal boundaries using global AERONET data. Machine learning identifies four distinct aerosol regimes with pronounced seasonal patterns and spectral.
Kilometre-scale simulations improved extreme rainfall forecasts in eastern Qinghai
Kilometre-scale convection-permitting simulations significantly improve extreme precipitation forecasting accuracy in Qinghai’s eastern valleys by better representing valley circulation patterns.
Weather regimes change short-term solar forecast error
Study reveals how North Atlantic weather regimes significantly influence satellite-based solar forecast accuracy, with seasonal variations up to 20% in error magnitude affecting renewable energy.
Hydrogen contrail ice crystal formation depends on entrained aerosols
Systematic microphysical simulations reveal ice crystal formation mechanisms in hydrogen-combustion contrails, establishing foundation for climate impact parameterization.
OH reaction with gamma-heptalactone favors C5 hydrogen abstraction
Computational kinetic study of OH radical reactions with gamma-heptalactone, establishing reaction mechanisms, rate coefficients, and product formation pathways relevant to atmospheric chemistry.
Wind shear strengthens soil moisture effects on thunderstorm growth
Wind shear and soil moisture interact to enhance rapid thunderstorm growth, offering new predictability for severe convective initiation across Africa and beyond.
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.
Arctic extreme weather events have increased sharply
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in ClimatologySeven-decade reanalysis reveals sharp increases and spatial shifts in Arctic bioclimatic extremes—droughts, winter warming and rain-on-snow—signaling novel stressors for cold ecosystems.
