Atmospheric science is the study of the physics, chemistry, and dynamics of the atmosphere and its interrelationship with the hydrosphere and the biosphere. Students gain advanced knowledge of air quality, meteorology, atmospheric chemistry, micrometeorology, biometeorology, climate dynamics, mesoscale meteorology, large-scale dynamics, and numerical weather prediction. Students graduate with the qualitative and quantitative skills necessary for professional research and teaching in the chemistry and dynamics of the atmosphere and its interrelationship with the hydrosphere and the biosphere. The Graduate Group in Atmospheric Science offers both M.S. and Ph.D. degree programs. A student may place emphasis on graduate work in one or more of the following fields: air quality meteorology, atmospheric chemistry, cloud physical processes, biometeorology, micrometeorology, numerical weather prediction, remote sensing, climate dynamics, large-scale dynamics, meso-scale and boundary-layer meteorology, computational geosciences, extreme weather, and climate change impacts. The diverse and extensive backgrounds of the faculty allow opportunities for interdisciplinary training and research.The Computational Geosciences program at UC Davis focuses on the development and use of regional and global climate and weather models, and associated modeling tools, to build an understanding of atmospheric phenomena and improve weather forecasting systems. Computing power has increased exponentially over the past decade, stimulating a significant burst of new research focused on developing software that can take advantage of the rapidly advancing hardware. In particular, it has become increasingly important to design atmospheric models which are capable of scaling on systems with tens to hundreds of thousands of processors. Hence, significant effort has been directed to the study and application of modern numerical techniques to simulating the atmosphere, developing tools for assimilating observations into predictive models and building algorithms for processing and analyzing large climate datasets.
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