[论文解读] Progress during the NOPP Wave Model Improvement Program

Donald T. Resio, C.H. Vincent+16 more|arXiv (Cornell University)|Aug 9, 2019

Ocean Waves and Remote Sensing参考文献 73被引用 4

一句话总结

本文总结了NOPP波浪模型改进计划在风浪模拟方面的进展，重点在于深水和浅水环境中波浪生成、耗散及非线性相互作用的源项改进。将新物理机制整合到业务化模型中，使波浪预报技能提升了30–50个百分点，显著提高了波浪预测的准确性。

ABSTRACT

This paper reviews the research activities that were carried out under the auspices of the National Ocean Partnership Program (NOPP) to advance research in wind wave modeling and transfer maturing technologies into operational community models. Primary focus of research activities that were funded under this program was to improve the source terms associated with deep water wind waves with a secondary focus on shallow water processes. While the focus has been on developing capabilities for stochastic phase averaged models, some of the research work reported here also touches on phase resolved models as well as updates that are needed to the classical stochastic equations to be applicable in shallow water conditions. The primary focus is on the development of new source terms to account for wave generation, dissipation and nonlinear wave-wave interactions. A direct result of this program has been the development of new physics packages in operational wave models that have improved forecast skill from 30 to 50 percent. Since this is an overview paper summarizing all the activities that were undertaken under this program, only the major results are presented here. The readers are directed to other publications for more details. The paper ends with a discussion of the remaining major challenges in wind wave modeling, from the larger open ocean scales to the smaller coastal domains.

研究动机与目标

• 通过为波浪生成、耗散及非线性波-波相互作用开发先进源项，改进风浪模拟。
• 通过在业务化波浪模型中改进物理机制，提升深水与浅水环境下的预报准确性。
• 将成熟的科研技术转化为社区波浪模型，用于业务化应用。
• 解决经典随机波浪模型的局限性，特别是在浅水条件下的表现。
• 识别并优先解决在开阔海域与海岸尺度波浪模拟中的剩余挑战。

提出的方法

• 为风生波浪和波浪耗散机制开发新的源项公式。
• 将非线性波-波相互作用物理机制整合到相平均波浪模型中。
• 对经典随机波浪方程进行改进，以适用于浅水区域。
• 利用观测数据和理论建模验证并优化源项参数化。
• 将新的物理模块集成到业务化波浪模型（如WAVEWATCH III）中。
• 应用更新了源项的随机相平均建模框架，以改善谱表示。

实验结果

研究问题

• RQ1 如何在深水波浪模型中更准确地表示风生波浪？
• RQ2 为实现准确的浅水波浪预测，波浪耗散与非线性相互作用项需要哪些改进？
• RQ3 更新后的源项在业务化波浪模型中在多大程度上提升了预报技能？
• RQ4 如何扩展相平均波浪模型，以更好地表征海岸环境中的波浪过程？
• RQ5 在不同尺度的风浪预测中，仍存在哪些科学与建模挑战？

主要发现

• 该计划成功开发了新的源项，使业务化模型中的波浪预报技能提升了30至50个百分点。
• 新的物理模块被集成到业务化波浪模型中，显著提升了预测准确性。
• 源项公式方面的进展增强了对波浪生成、耗散及非线性波-波相互作用的表征能力。
• 通过更新的参数化方法，研究将随机波浪模型的适用范围扩展到了浅水条件。
• 探索了相分辨建模方法，结果表明其可与相平均模型互补，以捕捉复杂的波浪动力学。
• 该计划识别出在开阔海域与小尺度海岸区域波浪过程建模中仍存在的持续性挑战，明确了未来研究的重点方向。