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Найдено документов в текущей БД: 3

    Numerical analysis of pollutant transport in upper turbulent layers of seas and oceans
/ N. V. Dmitriev, E. A. Dvurechenskaya // Meteorologiya i Gidrologiya. - 1994. - Is. 12. - P53-62 . - ISSN 0130-2906

Кл.слова (ненормированные):
Computer simulation -- Flow of fluids -- Fluid dynamics -- Hydrodynamics -- Mathematical models -- Numerical analysis -- Oceanography -- Seawater -- Thermodynamics -- Turbulence -- Pollutant transfer -- Water pollution

Аннотация: Two mathematical models of admixture dispersion in a surface turbulent layer of the pool are considered. All hydrodynamic characteristics required for the models are determined using a thermodynamic model of the horizontally homogeneous upper turbulent layer of the ocean. Numerical experiments have been performed to estimate the influence of stratification on the admixture diffusion. The advantages and drawbacks of the models are discussed. The importance of consideration of the influence of stratification on admixture diffusion is shown.

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Держатели документа:
Vychislitel'nyj Tsentr SO RAN, Krasnoyarsk, Russian Federation
ИВМ СО РАН

Доп.точки доступа:
Dmitriev, N.V.; Dvurechenskaya, E.A.

    Spatial and temporal anomalies of sea surface temperature in global scale (by space-based data)
/ A. Shevyrnogov, G. Vysotskaya, E. Shevyrnogov // Advances in Space Research. - 2004. - Vol. 33, Is. 7. - P. 1179-1183, DOI 10.1016/S0273-1177(03)00369-7 . - ISSN 0273-1177
Аннотация: The work presents the data on the spatial distribution of temperature anomalies in the Global Ocean, based on the long-term measurements with the AVHRR satellite equipment. It is noteworthy that such results can be only obtained by using long time series of satellite images. To obtain them by ship-borne methods is actually impossible. The proposed anomaly criterion is equal to a difference between minimum/maximum and average temperature, normed for the mean square deviation. The difference is calculated from the whole time series (with regard to a season). Based on this criterion, anomalies can be distinguished on the background of usual seasonal dynamics at various absolute values of deviations of the measured parameter. Besides, rare, single, fluctuations can be also revealed. Based on the proposed criterion, connected zones have been defined. These zones occur almost in every part of the Global Ocean. The data obtained have been analyzed in association with the CZCS (1978-1986) and SeaWiFS satellite images in order to compare them with the areas of anomalous dynamics of chlorophyll concentration and the regions quasistationary in the seasonal dynamics of chlorophyll. Anomalies in the temperature dynamics are of exceptional importance for the formation of climatic deviations; they affect the ocean-atmosphere interaction and reflect variations in the hydrological structure of the surface waters. The work presents a comparison with the dynamics of chlorophyll concentration distribution determined from the SeaWiFS data for the Atlantic Ocean. В© 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

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Полный текст


Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Высоцкая, Галина Степановна; Shevyrnogov, E.

    Empirical orthogonal analysis of temperature and vertical velocity in lake Shira
/ O. S. Volodko, L. A. Kompaniets, L. Gavrilova // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : International Multidisciplinary Scientific Geoconference, 2018. - Vol. 18: 18th International Multidisciplinary Scientific Geoconference, SGEM 2018 (2 July 2018 through 8 July 2018, ) Conference code: 142896, Is. 3.1. - P251-258, DOI 10.5593/sgem2018/3.1/S12.033 . -
Аннотация: The empirical orthogonal functions method is widely used for the study of the hydrophysical characteristics in meteorology and oceanography, for example for the analysis of ocean surface currents in the North Carolina and the distribution of horizontal velocities in the Shira Lake. This method is also applied to study the distribution temperatures with depth in the Pacific Ocean and to analyze sea surface temperature in the Western North Atlantic. The empirical orthogonal functions method gives us an optimal modal decomposition of the data and allows us to identify particular modes with relevant physical processors. The empirical orthogonal functions analysis used in this study was performed to measure temperature and vertical velocity in Lake Shira (Southern Siberia, Russia) in the summer of 2014 and 2015. The measurements of currents were recorded using Acoustic Doppler Current Profilers 600 kHz and 1200 kHz at two points. The measurements of temperature were recorded by termistor sensors distributing with depth at ten locations. The first and second empirical orthogonal modes for temperature account for 70-90 % of the total energy. They were used to identify the periods of summer heating and the location of the thermocline. The first mode for surface temperature accounts for about 96 % of the total energy and corresponds to surface temperature gradients. The first mode for vertical velocities accounts for about 10 % of the total energy and the analysis of the corresponding modal coefficient makes it possible to determine the periods when water moves up or down vertically. © SGEM2018 All Rights Reserved.

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Держатели документа:
ICM SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Volodko, O. S.; Kompaniets, L. A.; Gavrilova, L.