Earth and Planetary Sciences 236. Environmental Modeling and Data Analysis

Chemical transport models: principles, numerical methods. Inverse models: Bayes’ theorem, optimal estimation, Kalman filter, adjoint methods. Analysis of environmental data: visualization, time series analysis, Monte Carlo methods, statistical assessment. Students prepare projects and presentations.
Notes: Course includes one to three hours of computer-based laboratory work per week to be arranged. Students specializing in this area are expected to take EPS 200 and 236. EPS 236 may also serve as an introduction to modeling and applied statistics for other students.​
Prerequisite: Applied Mathematics 105; a course in atmospheric chemistry (EPS 133 or 200 or equivalent); or permission of the instructors.







Course ID: 


Subject Area: 

Earth and Planetary Sciences

Research Areas: 

  • [Course titles in brackets] indicate that the course is not scheduled to be taught during the 2019-2020 academic year, but may be offered in an alternate year.
  • An asterisk (*) before a course number indicates that a student must obtain the instructor's permission in order to enroll in the course.

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