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課程名稱 |
數值天氣預報
Numerical Weather Prediction |
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開課學期 |
111-2 |
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授課對象 |
理學院 大氣科學系 |
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授課教師 |
楊明仁 |
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課號 |
AtmSci5092 |
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課程識別碼 |
229 U1000 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
星期二2(9:10~10:00)星期四3,4(10:20~12:10) |
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上課地點 |
大氣系A100大氣系A100 |
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備註 |
天氣氣候學群必修
限學士班三年級以上
總人數上限：40人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
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. |
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課程目標 |
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 |
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課程要求 |
待補 |
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預期每週課後學習時數 |
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Office Hours |
每週四 09:00~10:00
每週二 10:00~11:00 |
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指定閱讀 |
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參考書目 |
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. |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Homework |
50% |
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2. |
Midterm |
25% |
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3. |
Final |
25% |
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針對學生困難提供學生調整方式 |
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上課形式 |
以錄影輔助 |
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作業繳交方式 |
延長作業繳交期限 |
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考試形式 |
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其他 |
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