Cao Hongxing, Gu Xiangqian. Numerical weather prediction with self-memorial spectral model. J Appl Meteor Sci, 2000, 11(4): 455-466.
Citation: Cao Hongxing, Gu Xiangqian. Numerical weather prediction with self-memorial spectral model. J Appl Meteor Sci, 2000, 11(4): 455-466.

NUMERICAL WEATHER PREDICTION WITH SELF-MEMORIAL SPECTRAL MODEL

  • Received Date: 1999-06-17
  • Rev Recd Date: 2000-01-20
  • Publish Date: 2000-11-30
  • Applying a memory concept to numerical weather prediction and introducing a memorial function, an appropriate difference-integral equation which is called a selfmemorization one has been formulated. Meanwhile the spherical harmonic representation of the equation is drieved too. Setting up and solving the equation establish a new approach of numerical weather prediction. Using T42L9 spectral model as a dynamic kernel, a global self-memorial T42 model (SMT42) was setup, with which several cases of 15-day integration experiments were carried out. Compared with T42, SMT42 is much better in 500 hPa forecast in daily up to 15 days, whose root mean square error (RMSE) is significantly reduced.
  • [1]
    Charney J G, Fjortoft R, von Neumann J.Numerical in tegration of the barotopic vorticity equation.Tellus, 1950, 2: 237~254.
    [2]
    顾震潮.作为初值问题的天气形势数值预报与用地面天气历史演变作预报的等值性.气象学报, 1958, 29 (2): 176~186. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB195802003.htm
    [3]
    Chou Jifan.The problem of using past data in numerical weather prediction.Scientia Sinica, 1974, 1 (6): 635~644.
    [4]
    Cao Hongxing.Self-memorization equation in atmospheric motion, Science in China, series B, 1993, 26 (7): 845~855.
    [5]
    Cao Hongxing, Zhu Zhengxin.Self-memorization and predictability of atmospheric motion.In ternational Workshop on Imbalances of Slowly Varying Components of Predictable Atmospheric Motion, 1995, WMO/TD No.652, 13~18, Beijing, China, 7~10 March.
    [6]
    曹鸿兴, 蒋维东, 哥道夫斯基.自忆谱模式及其初步应用.大气科学, 1998, 22 (1): 119~126. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK801.012.htm
    [7]
    ECMWF.ECMWF forecast model.Research Manual 2 and 3, 1987, 1988, ECMWF, Reading, England.
    [8]
    Bourke W.A Multi-level spectral model: (Ⅰ), Formulation and hemispheric integration, Mon.Wea.Rev., 1974, 102: 688~701.
    [9]
    谷湘潜.全球大气自忆谱模式及其数值试验.[博士论文].兰州:兰州大学, 1998.
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    • Received : 1999-06-17
    • Accepted : 2000-01-20
    • Published : 2000-11-30

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