| 自忆谱模式制作中期天气预报的试验 |
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| 引用本文： | 曹鸿兴,谷湘潜.自忆谱模式制作中期天气预报的试验[J].应用气象学报,2000,11(4):455-466. |
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| 作者姓名： | 曹鸿兴 谷湘潜 |
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| 作者单位： | 中国气象科学研究院, 北京 100081 |
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| 基金项目： | 中国科学院资助项目，中国气象科学院博士科研启动基金 |
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| 摘 要： | 基于大气自忆性观点, 引进记忆函数, 可构造一个差分-积分方程; 称之为自忆性方程; 给出了此方程的球谐表达式及其离散计算公式.以T42L9谱模式为动力核, 建立了一个全球自忆T42谱模式 (SMT42).用实际资料进行了逐日至15天积分试验计算, 表明对于500 hPa中期数值天气预报, SMT42比T42的均方根误差小得多, 同时SMT42对距平相关系数也有所提高, 这为中期数值天气预报提供了一种有潜力的新途径.
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| 关 键 词： | 中期天气预报 数值谱模式 自记忆 |
| 收稿时间： | 1999-06-17 |
Numerical Weather Prediction with Self-memorial Spectral Model |
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| Cao Hongxing,Gu Xiangqian.Numerical Weather Prediction with Self-memorial Spectral Model[J].Quarterly Journal of Applied Meteorology,2000,11(4):455-466. |
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| Authors: | Cao Hongxing Gu Xiangqian |
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| Affiliation: | Chinese Academy of Meteorological Sciences, Beijing, 100081 |
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| Abstract: | Applying a memory concept to numerical weather prediction and introducing a memorial function, an appropriate difference-integral equation which is called a self-memorization 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 15 days, whose root mean square error (RMSE) is significantly reduced. |
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