Numerical Weather Prediction
General
Prefix
AHS
Course Number
467
Course Level
Undergraduate
Department/Unit(s)
College/School
College of Science and Engineering
Description
Basic concepts of numerical weather prediction (NWP) including: the history of NWP models, necessary assumptions, common methods of solutions to the primitive equations, model initialization and data assimilation, parameterization schemes, and ensemble forecast systems. Rationale for different NWP systems, sources of errors in forecasts, and best practices when interpreting output of numerical models.
Prerequisites
Credits
Min
2
Max
2
Repeatable
No
Goals and Diversity
MN Goal Course
No
Cultural Diversity
No
Learning Outcomes
Outcome
Explain the basic structure of weather forecasting model.
Outcome
Differentiate the structure and parameterization schemes employed in operational numerical weather prediction models.
Outcome
Construct model configurations, boundary conditions and initial conditions for a numerical forecast experiment.
Outcome
Run a numerical forecast model experiment and analyze the results.
Outcome
Evaluate the application and utility of operational ensemble forecasting products.
Dependencies
Courses
AHS467
is a
corequisite
for: