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Development, implementation and evaluation of a data-assimilative ocean forecasting system off the central California coast

机译:开发,实施和评估加利福尼亚中部沿海地区的数据辅助海洋预报系统

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摘要

The development and implementation of a real-time ocean forecast system based on the Regional Ocean Modeling System (ROMS) off the coast of central California are described. The ROMS configuration consists of three nested modeling domains with increasing spatial resolutions: the US West coastal ocean at 15-km resolution, the central California coastal ocean at 5 km, and the Monterey Bay region at 1.5 km. All three nested models have 32 vertical sigma (or terrain-following) layers and were integrated in conjunction with a three-dimensional variational data assimilation algorithm (3DVAR) to produce snapshots of the ocean state every 6 h (the reanalysis) and 48-h forecasts once a day. This ROMS forecast system was operated in real time during the field experiment known as the Autonomous Ocean Sampling Network (AOSN-II) in August 2003. After the field experiment, a number of improvements were made to the ROMS forecast system: more data were added in the reanalysis with more careful quality control procedures, improvements were made in the data assimilation scheme, as well as model surface and side boundary conditions.rnThe results from the ROMS reanalysis are presented here. The ROMS reanalysis is first compared with the assimilated data as a consistency check. An evaluation of the ROMS reanalysis against the independent measurements that are not assimilated into the model is then presented. This evaluation shows the mean differences in temperature and salinity between reanalysis and observations to be less than 1 ℃ and 0.2 psu (practical salinity unit), respectively, with root-mean-square (RMS) differences of less than 1.5 ℃ and 0.25 psu. Qualitative agreement is found between independent current measurements and the ROMS reanalysis. The agreement is particularly good for the vertically integrated current along the offshore glider tracks: the ROMS reanalysis can realistically reproduce the poleward California Undercurrent. Reasonably good agreement is found in the spatial patterns of the surface current as measured by high-frequency (HF) radars. Preliminary results concerning the ROMS forecast skill and predictability are also presented. Future plans to improve the ROMS forecast system with a particular focus on assimilation of HF radar current measurements are discussed.
机译:描述了基于加利福尼亚中部沿海地区区域海洋建模系统(ROMS)的实时海洋预报系统的开发和实施。 ROMS配置由三个嵌套的建模域组成,它们的空间分辨率不断提高:分辨率为15 km的美国西部沿海海洋,距离为5 km的加利福尼亚中部沿海海洋和距离1.5 km的蒙特雷湾地区。这三个嵌套模型均具有32个垂直sigma(或跟随地形)层,并与三维变分数据同化算法(3DVAR)集成在一起,每隔6小时(重新分析)和48小时产生一次海洋状态快照每天进行一次预测。这个ROMS预报系统是在2003年8月被称为自主海洋采样网(AOSN-II)的野外试验中实时运行的。在野外试验之后,对ROMS预报系统进行了许多改进:增加了更多数据在重新分析中,通过更仔细的质量控制程序,对数据同化方案以及模型的表面和侧面边界条件进行了改进。rns这里提供了ROMS重新分析的结果。首先将ROMS重新分析与同化数据进行比较,以进行一致性检查。然后介绍了ROMS重新分析针对未同化为模型的独立测量的评估。该评估表明,再分析和观测值之间的温度和盐度平均差异分别小于1℃和0.2 psu(实用盐度单位),均方根(RMS)差异小于1.5℃和0.25 psu。在独立的电流测量与ROMS重新分析之间发现了定性一致性。该协议对于沿海上滑翔机轨道垂直整合的洋流特别有利:ROMS重新分析可以真实地再现极地的加利福尼亚暗流。通过高频(HF)雷达测量,在表面电流的空间模式中找到了合理的良好一致性。还介绍了有关ROMS预测技能和可预测性的初步结果。讨论了改进ROMS预测系统的未来计划,特别是着重于HF雷达电流测量的同化。

著录项

  • 来源
    《Deep-Sea Research》 |2009年第5期|100-126|共27页
  • 作者单位

    Jet Propulsion Laboratory, California Institute of Technology, M/S 183-601, 4800 Oak Grove Drive, Pasadena, CA 91109, USA;

    Jet Propulsion Laboratory, California Institute of Technology, M/S 183-601, 4800 Oak Grove Drive, Pasadena, CA 91109, USA;

    Raytheon ITSS, Pasadena, CA, USA;

    Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA;

    University of California, Los Angeles, CA, USA;

    Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA;

    Naval Oceanographic Office, Stennis Space Center, MS, USA;

    Scripps Institute of Oceanography, University of California, San Diego, CA, USA;

    Naval Research Laboratory, Monterey, CA, USA;

    Woods Hole Institution of Oceanography, Woods Hole, MA, USA;

    Jet Propulsion Laboratory, California Institute of Technology, M/S 183-601, 4800 Oak Grove Drive, Pasadena, CA 91109, USA;

    Institut de Recherche pour le Developpement (IRD), Noumea, New Caledonia;

    California Polytechnic State University, San Luis Obispo, CA, USA;

    Naval Postgraduate School, Monterey, CA, USA;

    Naval Postgraduate School, Monterey, CA, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    data assimilation; ocean modeling; ocean forecast; coastal ocean; adaptive sampling; reanalysis;

    机译:数据同化海洋建模;海洋预报;沿海海洋;自适应采样再分析;

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