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首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >High resolution modeling and data assimilation in the Monterey Bay area
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High resolution modeling and data assimilation in the Monterey Bay area

机译:蒙特利湾地区的高分辨率建模和数据同化

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A high resolution, data assimilating ocean model of the Monterey Bay area (ICON model) is under development within the framework of the project "An Innovative Coastal-Ocean Observing Network" (ICON) sponsored by the National Oceanographic Partnership Program. The main objective of the ICON model development is demonstration of the capability of a high resolution model to track the major mesoscale ocean features in the Monterey Bay area when constrained by the measurements and nested within a regional larger-scale model. This paper focuses on the development of the major ICON model components, including grid generation and open boundary conditions, coupling with a larger scale, Pacific West Coast (PWC) model, atmospheric forcing etc. Impact of these components on the Model's predictive skills in reproducing major hydrographic conditions in the Monterey Bay area are analyzed. Comparisons between observations and the ICON model predictions with and without coupling to the PWC model, show that coupling with the regional model improves significantly both the correlation between the ICON model and observed ADCP currents, and the ICON model's skill in predicting the location and intensity of observed upwelling events. Analysis of the ICON model mixed layer depth predictions show that the ICON model tends to develop a thicker than observed mixed layer during the summer time, and while assimilation of sea surface temperature data is enough for development of observed thin mixed layer in the regional larger-scale model, the fine-resolution ICON model needs variable heat fluxes as surface boundary conditions for the accurate prediction of the vertical thermal structure. The paper targets researchers involved in high-resolution numerical modeling of coastal areas in which the dynamics are determined by the complex geometry of a coastline, variable bathymetry and by the influence of complex water masses from a complicated hydrographic system (such as the California Current system). (C) 2002 Elsevier Science Ltd. All rights reserved. [References: 24]
机译:蒙特利湾地区的高分辨率,可吸收数据的海洋模型(ICON模型)正在由国家海洋学合作计划资助的“创新的沿海-海洋观测网络”(ICON)项目的框架内开发。 ICON模型开发的主要目标是展示高分辨率模型能够在受到测量限制并嵌套在区域较大规模模型中的情况下,追踪蒙特雷湾地区主要的中尺度海洋特征。本文着重于主要ICON模型组成部分的开发,包括网格生成和开放边界条件,与更大比例的耦合,太平洋西海岸(PWC)模型,大气强迫等。这些组成部分对模型的再现预测技能的影响分析了蒙特利湾地区的主要水文条件。在有和没有与PWC模型耦合的情况下,观测值与ICON模型预测之间的比较表明,与区域模型耦合可以显着改善ICON模型和观测到的ADCP电流之间的相关性,以及ICON模型预测位置和强度的技巧。观察到上升流事件。对ICON模型混合层深度预测的分析表明,在夏季,ICON模型趋向于比观测到的混合层更厚,而同化海面温度数据足以在较大的区域发展观测到的薄混合层。在比例模型中,精细分辨率的ICON模型需要可变的热通量作为表面边界条件,以精确预测垂直热结构。本文针对参与沿海地区高分辨率数值建模的研究人员,在这些方面,动力学是由海岸线的复杂几何形状,可变的测深法以及复杂的水文系统(例如,加利福尼亚水流系统)产生的复杂水团的影响所决定的。 )。 (C)2002 Elsevier ScienceLtd。保留所有权利。 [参考:24]

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