Applications in coastal modeling and forecasting
Applications in coastal modeling and forecasting
复制标题
沿海模拟和预报中的应用
DOI：
10.5670/oceanog.2009.79
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发表时间：
2009
期刊：
影响因子：
2.8
通讯作者：
Jiang Zhu
中科院分区：
文献类型：
--
作者：
P. Mey;P. Craig;F. Davidson;C. Edwards;Y. Ishikawa;J. Kindle;R. Proctor;K. Thompson;Jiang Zhu
在全球海洋数据同化实验（GODAE）期间，沿海和陆架海的数值模拟和预测受益于最先进的数据同化和数据验证的大型模型的开发，这些模型可以为嵌套域提供初始条件和边界条件。本文并没有尝试进行详尽的综合，而是通过直接提供估计，或更巧妙地通过使沿海预测更加可行及其应用更加明显，来说明 GODAE 在沿海海洋建模和预测方面取得的进展。
During the Global Ocean Data Assimilation Experiment (GODAE), numerical modeling and prediction in coastal and shelf seas benefited from development of state-of-the-art, data-assimilative, and data-validated large-scale models that can supply initial and boundary conditions to nested domains. Rather than attempting an exhaustive synthesis, this article illustrates the progress in coastal ocean modeling and prediction made possible by GODAE, either directly by providing estimates, or more subtly by rendering coastal forecasting more feasible and its applications more obvious.