The students will gain a basic understanding of the weather modeling process and how errors in the numerical weather prediction models affect the solution. The students will become familiar with the history of the numerical weather prediction and its evolution before providing step-by-step descriptions of the various model components. The well-know sources of errors will be described: errors in the initial conditions, in the numerical approximations, in the physical-processes parameterizations, and in the boundary conditions. The discussion on the ensemble methods will enable the students to understand the uncertainty in the numerical weather forecast. The students will become familiar with programing using FORTRAN language. The course will give the students a comprehensive of the techniques used in the numerical weather prediction and the skill that we can expect from these models.
Coiffier, Jean 2012: Fundamentals of Numerical Weather Prediction, Cambridge Press, ISBN 978-1-107-00103-9
The class meets twice a week. Every week, the first class time is dedicated to NWP topics and the second class time is dedicated to programming.
Periodic homework is assigned and is due at the start of the class indicated. There will be one exam during the semester and a final. Exams are designed to test basic concepts and are closed books and closed notes. A class project will be assigned after the midterm exam. The project is designed to test programming concepts. The project is due on the day of final. The project will be evaluated based on an oral presentation.