Is Computational Oceanography Coming of Age?
Is Computational Oceanography Coming of Age?
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DOI：
10.1175/bams-d-20-0258.1
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发表时间：
2021-02
影响因子：
8
通讯作者：
T. Haine;R. Gelderloos;Miguel A. Jiménez-Urias;Ali H. Siddiqui;G. Lemson;Dmitry Medvedev;A. Szalay;R. Abernathey;Mattia Almansi;Christopher Hill
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文献类型：
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作者：
T. Haine;R. Gelderloos;Miguel A. Jiménez-Urias;Ali H. Siddiqui;G. Lemson;Dmitry Medvedev;A. Szalay;R. Abernathey;Mattia Almansi;Christopher Hill
计算海洋学是通过数值模拟研究海洋现象，特别是动力和物理现象。在过去几十年中，信息技术的进步推动了全球海洋观测数量的指数增长和海洋数值模拟的保真度。然而，海洋模拟的增长速度呈指数级增长。我们认为，这种更快的增长正在改变海洋学研究的实地测量和数值模拟的重要性。它正导致计算海洋学的成熟，使之成为与观测海洋学同等重要的海洋科学的一个分支。其中一个含义是，超分辨海洋模拟只受到观测的松散约束。另一个含义是，应该消除分析此类模拟输出的障碍。虽然存在一些具体的限制和挑战，但计算海洋学的未来仍有许多机会。最重要的是混合计算和观测方法的前景，以促进对海洋的了解。
Computational oceanography is the study of ocean phenomena by numerical simulation, especially dynamical and physical phenomena. Progress in information technology has driven exponential growth in the number of global ocean observations and the fidelity of numerical simulations of the ocean in the past few decades. The growth has been exponentially faster for ocean simulations, however. We argue that this faster growth is shifting the importance of field measurements and numerical simulations for oceanographic research. It is leading to the maturation of computational oceanography as a branch of marine science on par with observational oceanography. One implication is that ultraresolved ocean simulations are only loosely constrained by observations. Another implication is that barriers to analyzing the output of such simulations should be removed. Although some specific limits and challenges exist, many opportunities are identified for the future of computational oceanography. Most important is the prospect of hybrid computational and observational approaches to advance understanding of the ocean.