| 西北太平洋温盐多模式集合预报 |
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| 引用本文： | 田志光,吴宝勤.西北太平洋温盐多模式集合预报[J].海洋测绘,2017(4):39-42. |
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| 作者姓名： | 田志光 吴宝勤 |
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| 作者单位： | ;1.92899部队;2.海军海洋测绘研究所 |
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| 摘 要： | 借鉴大气集合预报中的多模式集合预报思想,开展了海洋数值模式的集合预报方法研究,将数据分频集合技术方法应用于6个海洋模式的海洋环境预报中,并以Argo实测资料对集合预报效果进行了验证。比对分析结果表明,多模式集合预报的温盐精度明显提高,预报效果明显优于单一模式。
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| 关 键 词： | 多模式集合预报 海洋模式 数据分频 基准数据 相关系数 |
Multimodel Ensemble Prediction About Temperature and Salinity in the Northweat Pacific Ocean |
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| TIAN Zhiguang,WU Baoqin.Multimodel Ensemble Prediction About Temperature and Salinity in the Northweat Pacific Ocean[J].Hydrographic Surveying and Charting,2017(4):39-42. |
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| Authors: | TIAN Zhiguang WU Baoqin |
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| Affiliation: | 92899 Troops,Ningbo 315000 ,China; Naval Institute of Hydrographic Surveying and Charting,Tianjin 300061 ,China |
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| Abstract: | Based on the multi-model ensemble idea in aerography,the multi-model ensemble prediction method about ocean model is researched.The data disfrequency method is used in six models of multi-model ensemble prediction.Finally the ensemble results are validated with the Argo data.The result indicates that the precision of multi-model ensemble prediction is enhanced obviously,and the prediction is better than single model. |
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