課程資訊

Numerical Weather Prediction

111-2

AtmSci5092

229 U1000

3.0

Course Description:
This course will first introduce the basic concepts of numerical methods, such as finite difference, computational stability, time- and space-differencing, and spectral method, which are the key components for the class of Numerical Weather Prediction(NWP). The commonly-used community mesoscale model, the WRF (Weather Research and Forecast) model, will be discussed. Students taking this course are required to write their own codes (in Python, Matlab, or Fortran) to do the homework and exam problems, and solutions to the assigned coding problems will be discussed in class.

Lecture Outline:
1. Numerical approximation, finite differencing
2. Accuracy, stability, and convergence
3. Time-differencing
4. Space-differencing
5. Combined time- and space-differencing
6. Spectral and pseudospectral methods
7. WRF model introduction and applications

Office Hours

Textbook:
Durran, Dale R.: Numerical Methods for Fluid Dynamics with Applications in
Geophysics. Springer-Verlag New York. 2nd edition.2010, 516 pp.
Chapters 2, 3, 4 and 6

Reference:
1. Mesinger and Arakawa: Numerical methods used in atmospheric models, GARP
Publications Series No. 17, 1976, 64 pp.
2. 2. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G. Duda, X. Y. Huang, W. Wang, and J. G. Powers, 2008: A description of the Advanced Research WRF version 3, NCAR Tech. Note NCAR/TN–475+STR, 113 pp.

(僅供參考)

 No. 項目 百分比 說明 1. Homework 50% 2. Midterm 25% 3. Final 25%

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