黑海动力学数学模型中的变分资料同化

IF 0.7 Q4 OCEANOGRAPHY Physical Oceanography Pub Date : 2019-12-01 DOI:10.22449/0233-7584-2019-6-585-599
V. Agoshkov, V. Shutyaev, E. Parmuzin, N. Zakharova, T. Sheloput, N. Lezina
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引用次数: 3

摘要

目的。为了模拟海洋水热力学,解决了海面温度资料的变分同化问题。数据同化可以使数值模型的计算与所研究环境中的测量数据相适应。方法与结果。本文考虑了由俄罗斯科学院数值数学研究所开发的以西格玛坐标系表示的黑海和亚速海流体热力学数学模型。该模型的独特之处在于将分裂方法应用于物理过程和空间坐标,大大简化了变分数据同化算法。提出了海面温度资料的变分同化问题。引入了成本函数;它包括控制函数-海上界热通量和海表温度的卫星观测。通过最优性系统,包括直接问题和伴随问题,以及控制条件,重新表述了函数最小值的必要条件。利用卫星观测资料的变分同化,提出了求解上述问题的算法。它考虑了根据海面温度观测资料统计特征计算的观测误差协方差矩阵。该算法在选定的迭代参数下,在迭代过程中实现最优性系统的顺序解。以黑海和亚速海为例,说明了该问题的数值解的结果。Conslusion。比较了同化观测资料和不同化观测资料的数值模拟结果;证明了观测资料同化过程的有效性。研究了海温同化对其他系统参数的影响。结果表明,在吸收海表温度时,只有上层的温度受到影响,而在深度足够的情况下,下层的剖面几乎保持不变。对其他系统参数的影响要么很小,要么根本不表现出来。
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Variational Data Assimilation in the Mathematical Model of the Black Sea Dynamics
Purpose. In order to simulate the sea hydrothermodynamics, the problem of variational assimilation of the sea surface temperature data is solved. The data assimilation permits to adjust the numerical model calculations to the measurement data obtained in the environment under study. Methods and Results. The mathematical model of hydrothermodynamics of the Black and Azov seas, developed at the Institute of Numerical Mathematics of RAS and written in the sigma coordinate system, is considered. The distinctive feature of the model consists in applying the splitting method to physical processes and spatial coordinates that can significantly simplify the variational data assimilation algorithm. The problem of variational assimilation of the sea surface temperature data is formulated. A cost functional has been introduced; it includes the control function – heat flux at the sea upper boundary and satellite observations of the sea surface temperature. The necessary condition for the functional minimum is reformulated through the optimality system including the direct and adjoint problems, and the control condition. Using the variational assimilation of the satellite-derived observations, the algorithm for solving the stated problem was developed. It takes into account the observational errors’ covariance matrix calculated based on the statistical characteristics of the sea surface temperature observational data. The algorithm implies a sequential solution of the optimality system in the iterative process with the specially selected iterative parameter. The results of numerical solution of this problem are represented by the example of the Black and Azov seas. Conslusion. The results of numerical modeling with the observational data assimilation and without it are compared; efficiency of the observational data assimilation procedures is shown. Influence of the sea surface temperature assimilation upon the other system parameters is investigated. It is shown that when assimilating the sea surface temperature, only temperature in the upper layers is affected, whereas, provided that the depth is sufficient, the profile in the lower layers remains practically unchanged. The impact on the other system parameters is either minimal or not manifested at all.
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来源期刊
Physical Oceanography
Physical Oceanography OCEANOGRAPHY-
CiteScore
1.80
自引率
25.00%
发文量
8
审稿时长
24 weeks
期刊最新文献
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