UC’s MS in Atmospheric Science trains students to model and observe the atmosphere, preparing them for forecasting, climate-policy, and doctoral roles.
Machine-learning downscaling of CMIP6 climate projections for California basins
UAV campaign profiling boundary-layer pollutants over megacities
WRF model study of wildfire smoke transport and radiative forcing
Satellite retrieval algorithm improving coastal fog detection
Policy brief on extreme-heat early-warning systems for farmworkers
Paleoclimate reconstruction using tree-ring isotopes from Sierra Nevada
Interactive dashboard of atmospheric rivers and flood risk
Laboratory cloud-chamber experiment on aerosol–ice nucleation
Data-assimilation project integrating radar and lidar into nowcasting models
Survey of public risk perception of atmospheric geoengineering options
Field deployment of low-cost sensors for urban heat-island mapping
Comparison of ENSO event forecasting using neural networks vs dynamical models
White paper on aviation contrail mitigation technologies
Visualization of jet-stream variability under Arctic amplification
Long-range transport analysis of Saharan dust into the Caribbean
Educational VR experience inside a supercell thunderstorm
Climatology of atmospheric blocking and drought persistence in the Mediterranean
Impact assessment of renewable-energy siting on local microclimates
Conference on open-source climate-model development practices
Public outreach workshop training citizen scientists in cloud observation
Forecast the future climate with UC’s atmosphere-focused MS.
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