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Numerical Weather and Climate Prediction ATOC 4500-7500

Numerical Weather and Climate Prediction ATOC 4500-7500. Prerequisites. Atmospheric (or fluid) dynamics and thermodynamics Calculus through differential equations Permission of the instructor. Course Philosophy. Designed for model users, not hard-core developers

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Numerical Weather and Climate Prediction ATOC 4500-7500

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  1. Numerical Weather and Climate PredictionATOC 4500-7500

  2. Prerequisites • Atmospheric (or fluid) dynamics and thermodynamics • Calculus through differential equations • Permission of the instructor

  3. Course Philosophy • Designed for model users, not hard-core developers • The scope is broad, without a great deal of depth in any single area

  4. Textbook • Title: Numerical Weather and Climate Prediction • Availability – CU bookstore (I’ll notify you when it is in stock)

  5. Text and course content • Chapter 1. INTRODUCTION • Chapter 2. THE GOVERNING SYSTEMS OF EQUATIONS • Chapter 3. NUMERICAL SOLUTIONS TO THE EQUATIONS • Chapter 4. PHYSICAL-PROCESS PARAMETERIZATIONS • Chapter 5. MODELING SURFACE PROCESSES • Chapter 6. MODEL INITIALIZATION AND DATA ASSIMILATION • Chapter 7. ENSEMBLE TECHNIQUES • Chapter 8. PREDICTABILITY • Chapter 9. MODEL VERIFICATION METHODS • Chapter 10. EXPERIMENTAL DESIGN IN MODEL-BASED RESEARCH • Chapter 11. TECHNIQUES FOR ANALYZING MODEL OUTPUT • Chapter 12. OPERATIONAL NUMERICAL WEATHER PREDICTION • Chapter 13. POST-PROCESSING MODEL OUTPUT • Chapter 14. SPECIAL-APPLICATIONS MODELS • Chapter 15. COMPUTATIONAL FLUID-DYNAMICS MODELS • Chapter 16. CLIMATE MODELING AND DOWNSCALING

  6. Approximate Schedule • Topic schedule by week – see syllabus • Exam 1 – week 6 • Exam 2 – week 12 • Final exam – last week of class

  7. Class format • Readings in preparation for class will be clearly defined. • Class format will be a combination of discussion of topics in the reading, lecture, discussion of lab projects.. • We will try different approaches for motivating discussion – perhaps students will pose/record questions as they read the material, and addressing these will be a focus of the discussion. • Lab projects – these model-based experiments will be assigned throughout the course to illustrate concepts being discussed.

  8. Grading • 2 exams plus final - 20% each • Lab projects – 20% • Homework – 20%

  9. Course computing • Lab projects will involve coding simple models, and running them to illustrate numerical properties of solutions. • There is no particular computing language required, but Fortran is used in the geosciences.

  10. Student Responsibilities • Check email at least once a day. • Attend class. • Email or call me if there is a problem. • Participate in class discussions. • Let me know if you are going to miss class because of planned trips.

  11. Instructor Responsibilities • Announce reading assignments • Provide basic (not extensive) advice on code debugging.

  12. Class Web Sitehttp://www.rap.ucar.edu/~warner/ - text errata - syllabus - lab assignments

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