10.14489/vkit.2019.05.pp.003-009

DOI: 10.14489/vkit.2019.05.pp.003-009

Май В. П., Шупикова А. А.
МОДЕЛИРОВАНИЕ ПОЛЕЙ СКОРОСТЕЙ ОКЕАНИЧЕСКИХ ТЕЧЕНИЙ
(с. 3-9)

Аннотация. Рассматривается новая стримлетная модель, предназначенная для объективного анализа полей скоростей океанических течений. В основе данной параметрической модели лежит когерентность синоптических объектов. Ассимиляция измерений скорости состоит в подборе оптимальных параметров функции с помощью хорошо известного алгоритма Нелдера–Мида. Стримлетная модель универсальна и позволяет функционально объединить разные синоптические объекты, такие как струйные течения и вихри, которые можно интерпретировать как замкнутые струи. Модель применена к синоптическим объектам различной природы и масштаба, включая как поверхностные и подповерхностные бароклинные, так и глубинные баротропные океанические течения.

Ключевые слова: струйные течения; синоптические объекты; объектное моделирование; завихренность; поверхность Лэмба.

May V. P., Shupikova A. A.
MODELING VELOCITY FIELDS OF THE OCEANIC CURRENTS
(pp. 3-9)

Abstract. Ocean currents velocity field analysis is one of the most important problem of applied oceanology. Unfortunately, its reconstruction using temperature and salinity fields on a basis of geostrophical balance, is not always possible. Therefore, some currents are considered as feature modeling. Velocity models have particular role for analysis of velocity fields. The advantage of feature models in comparison with point methods of objective analysis of oceanographic fields is their integral character, which enables us to solve this very important problem effectively. Perspective of feature models in initialization tasks arises because of models ability to remove small scale perturbation. It gives us an opportunity to use them in the modern eddy resolving numerical models. Even they are simple analytical functions, with the help of them we may construct the complicated fields. Stream coordinates are important property of feature models, which sufficiently improve gradients picture of oceanographic fields. The aim of this article is to verify the new streamlet model, which can be used for objective analysis of the three-dimensional velocity structure of ocean currents. It is a simple parametric model for coherent synoptic object such as eddies and jets. Velocity data assimilation consists in approximation of the optimal parameters by using the wellknown Nelder-Mead algorithm. Unfortunately, object modeling is not universal, and the same is true for velocity feature models. The proposed model is universal and allows us to combine functionally different synoptic objects such as jets and eddies, which can be interpreted as the closed jets. Streamlet model sets one-to-one correspondence between 3D-velocity and vorticity fields. This model is based on graphical representation of synoptic objects in the ocean. Each object has its own stream coordinates, it moves with them and allows to use its coherent characteristics of ocean flows. Streamlet model can be applied to synoptic objects of different type and scale, including both surface, subsurface baroclinic and deep barotropic ocean currents.

Keywords: Stream coordinates; Synoptic objects; Object modeling; Vorticity; Lamb surface.

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В. П. Май, А. А. Шупикова (Институт автоматики и процессов управления Дальневосточного отделения РАН, Владивосток, Россия) E-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

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V. P. May, A. A. Shupikova (Institute of Automation and Control Processes, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russia) E-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

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Eng

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5. Gangopadhyay A., Robinson A. R. (2002). Feature-oriented Regional Modeling of Oceanic Fronts. Dynamics of Atmospheres and Oceans, 36(1-3), pp. 201-232.
6. Schmidt A., Gangopadhyay A. (2013). An Operational Ocean Circulation Prediction System for the Western North Atlantic: Hindcasting During July – September of 2006. Continental Shelf Research, Vol. 63, pp. 177-192. DOI: doi.org/10.1016/j.csr.2012.08.017
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