Using Neural Network parameterizations of the Nonlinear Energy Transfer for Application in Wave Models

Using Neural Network parameterizations of the Nonlinear Energy Transfer for Application in Wave Models
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使用非线性能量传递的神经网络参数化在波浪模型中的应用

DOI:
10.21236/ada626714
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发表时间:
2001
期刊:
--
影响因子:
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通讯作者:
V. Krasnopolsky
V. Krasnopolsky
中科院分区:
--
文献类型:
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作者:
H. Tolman;D. Chalikov;V. Krasnopolsky

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Abstract : Considering the crucial importance of nonlinear interaction Snl for the development of third generation wave models the long-term goal of this work is to improve accuracy of calculating nonlinear interaction Snl in wind wave models, and hence improving wave prediction in general.