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Introduction to the Autonomous Ocean Sampling Network (AOSN-II) program

机译:自主海洋采样网络(AOSN-II)计划简介

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摘要

Determination of the present and future state of the ocean remains one of the greatest challenges in ocean sciences. Physical and biological processes in the ocean and overlying atmosphere act and interact over a broad range of time and space scales. Direct, simultaneous measurement on all of these scales is beyond the capabilities of even our most advanced observational tools. Numerical simulations can provide insight into ocean behavior on many scales, but are dependent on both approximations for unresolved processes and on imposed surface and boundary conditions of questionable fidelity. These dependencies limit a model's ability to accurately simulate and predict the ocean.
机译:确定海洋当前和未来的状态仍然是海洋科学面临的最大挑战之一。海洋和上层大气的物理和生物过程在很宽的时空范围内相互作用。在所有这些标尺上进行直接,同时的测量甚至超出了我们最先进的观测工具的能力。数值模拟可以深入了解许多尺度上的海洋行为,但取决于未解决过程的近似值以及保真度强加的表面和边界条件。这些依赖性限制了模型准确模拟和预测海洋的能力。

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  • 来源
    《Deep-Sea Research》 |2009年第5期|61-61|共1页
  • 作者单位

    Autonomous Systems Laboratory, Physical Oceanography Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA;

    Monterey Bay Aquarium Research Institute, 7700 Sandholdt Road, Moss Landing, CA 95039, USA;

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