Seasonal temperature and salinity fields in the Mediterranean Sea: Climatological analyses of a historical data set
Seasonal temperature and salinity fields in the Mediterranean Sea: Climatological analyses of a historical data set
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DOI：
10.1016/0967-0637(96)00012-x
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发表时间：
1996-02-01
影响因子：
2.4
通讯作者：
Schoenauen, R
中科院分区：
文献类型：
--
作者：
Brasseur, P;Beckers, JM;Schoenauen, R
对历史数据库进行了气候学分析，目的是重建地中海的三维温度和盐度场。作为标准Gandin(1969；以色列科学翻译计划，耶路撒冷气象领域的客观分析)程序的替代，用变分反方法计算了水文性质的季节和月分布。证明了极小化问题的样条解在数值和理论上与传统客观分析得到的场估计是等价的。有限元技术的应用允许在模型空间而不是在观测空间进行分析，这大大提高了程序的数值效率。根据气候数据的统计，调整方案的参数。结果以网格数据集的形式实现(水平分辨率为0.25度)，显示了影响水团特性的季节变化的一些趋势。正如预期的那样，上层受到一个明确的季节性信号的影响，影响着温度和盐度场。系统地制作了反映分析中不确定程度的误差图。这项工作被认为是对更高级的研究的基本支持，如诊断计算、动力模式的初始化、将水文数据同化为原始方程模式或规划实验调查。随着数据被添加到历史数据库中，新版本的气候场将被发布。版权所有(C)1996爱思唯尔科学有限公司。
Climatological analyses of a historical data base have been carried out with the aim of reconstructing the three-dimensional temperature and salinity fields in the Mediterranean Sea. Seasonal and monthly distributions of hydrographic properties have been computed by a variational inverse method as an alternate to the standard Gandin (1969; Objective analysis of meterological fields, Israeli Program for Scientific Translation, Jerusalem) procedure. The spline solutions of the minimization problem are demonstrated to be numerically and theoretically equivalent to field estimates obtained by conventional objective analysis. The application of a finite-element technique allows analysis to be performed in the model space rather than in the observational space, which substantially improves the numerical efficiency of the procedure. The parameters of the scheme are adjusted according to the statistics of the climatological data. The results,realized as gridded data sets (horizontal resolution of 0.25 degrees), show some trends in seasonal variability affecting the properties of water masses. As expected, the upper layer is subject to a well-defined seasonal signal affecting both the temperature and salinity fields. Error maps, reflecting the degree of uncertainty in the analyses, have been systematically produced. The present work is conceived as a basic support to more advanced studies such as diagnostic calculations, initialization of dynamical models, assimilation of hydrological data into primitive equation models, or planning of experimental surveys. New versions of the climatological fields will be released as data are added to the historical data base. Copyright (C) 1996 Elsevier Science Ltd.