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Forecasting and reanalysis in the Monterey Bay/California Current region for the Autonomous Ocean Sampling Network-II experiment

机译:加州海洋蒙特利湾当前区域的自主海洋采样网络II预报和再分析

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摘要

During the August-September 2003 Autonomous Ocean Sampling Network-II experiment, the Harvard Ocean Prediction System (HOPS) and Error Subspace Statistical Estimation (ESSE) system were utilized in real-time to forecast physical fields and uncertainties, assimilate various ocean measurements (CTD, AUVs, gliders and SST data), provide suggestions for adaptive sampling, and guide dynamical investigations. The qualitative evaluations of the forecasts showed that many of the surface ocean features were predicted, but that their detailed positions and shapes were less accurate. The root-mean-square errors of the real-time forecasts showed that the forecasts had skill out to two days. Mean one-day forecast temperature RMS error was 0.26 ℃ less than persistence RMS error. Mean two-day forecast temperature RMS error was 0.13 ℃ less than persistence RMS error. Mean one- or two-day salinity RMS error was 0.036 PSU less than persistence RMS error. The real-time skill in the surface was found to be greater than the skill at depth. Pattern correlation coefficient comparisons showed, on average, greater skill than the RMS errors. For simulations lasting 10 or more days, uncertainties in the boundaries could lead to errors in the Monterey Bay region.rnFollowing the real-time experiment, a reanalysis was performed in which improvements were made in the selection of model parameters and in the open-boundary conditions. The result of the reanalysis was improved long-term stability of the simulations and improved quantitative skill, especially the skill in the main thermocline (RMS simulation error 1 ℃ less than persistence RMS error out to five days). This allowed for an improved description of the ocean features. During the experiment there were two-week to 10-day long upwelling events. Two types of upwelling events were observed: one with plumes extending westward at point Ano Nuevo (AN) and Point Sur (PS); the other with a thinner band of upwelled water parallel to the coast and across Monterey Bay. During strong upwelling events the flows in the upper 10-20 m had scales similar to atmospheric scales. During relaxation, kinetic energy becomes available and leads to the development of mesoscale features. At 100-300 m depths, broad northward flows were observed, sometimes with a coastal branch following topographic features. An anticyclone was often observed in the subsurface fields in the mouth of Monterey Bay.
机译:在2003年8月至9月的自主海洋采样网络II实验中,哈佛海洋预测系统(HOPS)和误差子空间统计估计(ESSE)系统被实时用于预测物理场和不确定性,并吸收了各种海洋测量值(CTD) ,AUV,滑翔机和SST数据),为自适应采样提供建议,并指导动力学研究。对预报的定性评估表明,对许多表层海洋特征进行了预报,但其详细位置和形状不太准确。实时预测的均方根误差表明,该预测可以使用两天。一日平均预测温度RMS误差比持久性RMS误差小0.26℃。两天平均预测温度RMS误差比持久性RMS误差小0.13℃。平均1天或2天盐度RMS误差比持久性RMS误差小0.036 PSU。发现表面上的实时技能要比深度上的技能强。模式相关系数的比较显示,平均而言,技巧要比RMS误差大。对于持续10天或更长时间的模拟,边界的不确定性可能导致蒙特雷湾地区的错误。rn在实时实验之后,进行了重新分析,其中对模型参数的选择和开放边界进行了改进条件。重新分析的结果是提高了模拟的长期稳定性并提高了定量技能,尤其是主要热跃线的技能(RMS模拟误差比持续时间RMS误差小1℃到5天)。这样可以更好地描述海洋特征。在实验过程中,发生了两周到十天的上升流事件。观察到两种上升流事件:一种是羽流向西延伸至Ano Nuevo(AN)和Point Sur(PS);另一个则有较薄的上升流带,与海岸平行并横跨蒙特雷湾。在强烈的上升流事件中,上部10-20 m的水流规模与大气规模相似。在松弛过程中,动能变得可用并导致中尺度特征的发展。在100-300 m的深度处,观察到了广泛的北向流动,有时沿地形特征具有沿海分支。在蒙特雷湾河口的地下田野中经常观察到反旋风。

著录项

  • 来源
    《Deep-Sea Research》 |2009年第5期|127-148|共22页
  • 作者单位

    Massachusetts Institute of Technology, 77 Mass. Avenue, Cambridge, MA 02139, USA Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA;

    Massachusetts Institute of Technology, 77 Mass. Avenue, Cambridge, MA 02139, USA Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA;

    Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA;

    Massachusetts Institute of Technology, 77 Mass. Avenue, Cambridge, MA 02139, USA Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA;

    Massachusetts Institute of Technology, 77 Mass. Avenue, Cambridge, MA 02139, USA Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA;

    Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Borgo Grotta Gigante 42/C, 34010, Sgonico (TS), Italy University of Trieste, Piazzale Europa, 1 I-34127, Trieste, Italy;

    Courant Institute, 231 Mercer Street, New York, NY 10012, USA Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA;

    Swedish Meteorological and Hydrological Institute, Sven Kaellfelts gata J5 426 71 Vastra Frolunda, Sweden Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA;

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

    Naval Research Laboratory, 7 Grace Hopper Avenue, Monterey, CA 93943, USA;

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

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

    Scripps Institution of Oceanography, 9500 Gilman Drive, La Jolla, CA 92093, USA;

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

    coastal upwelling; data assimilation; physical oceanography; prediction; skill; uncertainty;

    机译:沿海上升流;数据同化物理海洋学;预测;技能;不确定;

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