Focal Interest
Focal Interest

Terrain

  1. Neural network predicts shifts in extreme weather frequency
    Neural networks leverage climate model data to predict how extreme rainfall, hail, and winds will shift geographically as climate changes, accounting for terrain effects.
  2. Regional transport increased surface ozone 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.
  3. 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.