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利用自记忆模式试报我国汛期降水

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基于大气运动是一种不可逆过程的观点,引进了记忆过去时次资料的记忆函数。进一步阐明了大气运动的自记忆概念,导出了大气运动的自记忆性方程。基于自记忆原理,从大气热力学方程和水分平衡方程出发,建立了一个用于短期降水预报的数学模式。对6-8月我国汛期降水预测作了12年的回报试验,结果表明该模式的预测评分比目前的月预报有很大提高。
Prediction of Precipitation during Summer Monsoon with Self-memorial Model
In view of the fact that the atmospheric motion is an irreversible process, a memory function which can recall the observation data in the past is introduced, moreover, a special concept of self-memorization of the atmospheric motion is proposed, and a so-called self-memorization equation of the atmospheric motion has been derived. Based on the self-memorization principle, a numerical model for decadal forecast is established by means of the thermodynamic equation and the precipitation equation. The verification scores of the hindcasts of the model in the period from 1 to 12 years are much higher than that of monthly weather forecasts at present.

封国林、曹鸿兴、高新全、董文杰、丑纪范

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Mathematics and Physics College, Yangzhou University

Chinese Academy of Meteorological Science 46 Baishiqiaolu

Department of Meteorological Science, Lanzhou University

Institute of Atmospheric Physics, Chinese Academy of Sciences

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数值模式 气候预报 记忆

National Natural Science Foundation of China under Grant NoNational Key Program for Developing Basic Sciences

49875025G1998040901-1 and G 1999043400

2001

大气科学进展(英文版)
中国科学院大气物理研究所

大气科学进展(英文版)

CSCDSCI
影响因子:0.741
ISSN:0256-1530
年,卷(期):2001.18(5)
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