Ecosystem Modeling and Data Assimilation of Physical-Biogeochemical processes in Shelf and Regional Areas of the Mediterranean Sea

Triantafyllou George, Hoteit Ibrahim, Korres Gerassimos, Petihakis George
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引用次数: 15

Abstract

In this work, a general overview of the recent progress and the existing difficulties in the implementation of physical and biogeochemical models accompanied with advanced Kalman filtering techniques in regional and shelf areas of the Mediterranean Sea is presented. The hydrodynamics of these areas were simulated with realistic implementations of the Princeton Ocean Model (POM) while the biogeochemistry of the ecosystems was tackled with the European Regional Seas Ecosystem Model (ERSEM). On the other hand, the Singular Evolutive Extended Kalman (SEEK) filter and its ensemble-based variant called the SEIK filter was used to assimilate all physical and biogeochemical data into the models. In these filters the error statistics were parameterized by means of a suitable basis of empirical orthogonal functions (EOFs). This contribution falls into the framework of the ‘Mediterranean ocean Forecasting System: Toward Environmental Predictions (MFSTEP)’ project and synthetically presents the modeling efforts in conjunction with data assimilation techniques for the development of operational systems in regional and shelf areas of the Mediterranean Sea. (© 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

地中海陆架和区域生态系统模拟与物理-生物地球化学过程数据同化
在这项工作中,概述了在地中海区域和大陆架地区实施物理和生物地球化学模型与先进卡尔曼滤波技术的最新进展和存在的困难。利用普林斯顿海洋模型(POM)模拟了这些区域的水动力学,并用欧洲区域海洋生态系统模型(ERSEM)处理了生态系统的生物地球化学。另一方面,奇异进化扩展卡尔曼(SEEK)滤波器及其基于集成的变体SEIK滤波器用于将所有物理和生物地球化学数据吸收到模型中。在这些滤波器中,误差统计量是通过经验正交函数(EOFs)的适当基础来参数化的。这一贡献属于“地中海海洋预报系统:迈向环境预测(MFSTEP)”项目的框架,并综合介绍了与数据同化技术相结合的建模工作,以开发地中海区域和大陆架地区的业务系统。(©2005 WILEY-VCH Verlag GmbH &KGaA公司,Weinheim)
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