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中文摘要: 通过对小概率事件历史样本作多层递推选代,逐次改变引入样本数求取权函数,建立一种平稳统计模式。模式信息容量大,收敛快,克服了常规统计模式的局限性,在灾害性天气客观预报模型应用中取得了明显效果。
中文关键词: 小概率事件,环流背景,多层递推
Abstract:Through Multi-level recurrence iteration for historical samples of small-probability events,inducted sample numbers are progressively varied to win weight function. An equable statistical model is developed with this method. The model contained more information and converged faster. It overcomes the limitation of annual statistical model. This has obviously increased the capability in application of the objective forecasting model to the calamitous weather.
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基金项目:
作者 | 单位 |
汤兆焘 | 浙江省湖州市气象局 313000 |
李法然 | 浙江省湖州市气象局 313000 |
杨育强 | 浙江省湖州市气象局 313000 |
黄玲琳 | 浙江省湖州市气象局 313000 |
孙建明 | 浙江省湖州市气象局 313000 |
Author Name | Affiliation |
引用文本:
汤兆焘,李法然,杨育强,黄玲琳,孙建明,1994.多层递推平稳模型[J].气象,20(11):40-43.
,1994.A Multi-Level Recurrence Equable Model[J].Meteor Mon,20(11):40-43.
汤兆焘,李法然,杨育强,黄玲琳,孙建明,1994.多层递推平稳模型[J].气象,20(11):40-43.
,1994.A Multi-Level Recurrence Equable Model[J].Meteor Mon,20(11):40-43.