UC Atmospheric Science integrates physics, chemistry, and data analytics to model atmospheric processes from micro-scale turbulence to global climate.
WRF high-resolution simulation of Bay-Area wildfire smoke dispersion
Machine-learning downscaling of CMIP6 climate projections
Drone-based measurement campaign of coastal boundary-layer humidity
Policy brief on extreme heat early-warning systems
Interactive dashboard visualizing atmospheric river events and flood risk
Ozone LIDAR data analysis for urban air-quality policy
VR classroom module on cloud-formation microphysics
Remote-sensing study of urban albedo modification via cool roofs
Field experiment launching radiosondes during atmospheric inversion events
Carbon-cycle model coupling terrestrial biosphere feedbacks
Comparison of ensemble forecasting skill for tropical cyclone tracks
Analysis of jet-stream variability and aviation route optimization
Citizen-science app collecting rainfall data to validate radar estimates
Critical essay on geoengineering ethics and governance
Automatic detection of lightning strokes using VLF signals
Workshop teaching Python climate-data analysis with xarray
Integrating atmospheric chemistry into local emissions-reduction plans
Network analysis of teleconnections between ENSO and Indian monsoon
VR reenactment of historical storm events for risk communication
Life-cycle assessment of hydrogen-based aviation and contrail impacts
Forecast, model, and mitigate climate risks with UC Atmospheric Science.
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