The course introduces the fluid flows of the environment. We will survey the range of flow processes that influence the transport and dispersion of contaminants and other material in the environment and develop a framework for predicting their impact.
The course explores snow processes, mass and energy balance dynamics, with practical applications in data analysis and computational modeling. Students develop skills to interpret research, modify code, and apply snow science to real-world hydrological challenges.
The course will cover a number of fundamental topics related to data analysis including statistical inference testing and error estimation, use of linear and quantile-based regression models, Monte Carlo simulation, time series analysis, Bayes theorem, and data visualization using modern computer techniques.
This course will provide students an overview of past and future water management and policy issues related to current water resources projects. Through readings, guest speakers, and class discussion, we will consider both technical and social aspects of water resource system management and operations. Topics include federal water policy, regional water planning, expansion of existing water supplies, streamflow forecasting, planning with climate change, and more.
Note: Professor Lundquist doesn't always teach this course.
This course will give fundamental training to students in making and analyzing snow measurements including depth, density, water equivalence, grain size and shape, stratigraphy, temperature and hardness. Students completing this course will be able to perform high-quality fieldwork and design studies making snowpack measurements.