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Influence of the vertical mixing parameterization on the modeling results of the Arctic Ocean hydrology. / Iakshina, D. F.; Golubeva, E. N.

23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ред. / GG Matvienko; OA Romanovskii. Том 10466 SPIE, 2017. 1046657 (Proceedings of SPIE; Том 10466).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Iakshina, DF & Golubeva, EN 2017, Influence of the vertical mixing parameterization on the modeling results of the Arctic Ocean hydrology. в GG Matvienko & OA Romanovskii (ред.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Том. 10466, 1046657, Proceedings of SPIE, Том. 10466, SPIE, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Irkutsk, Российская Федерация, 03.07.2017. https://doi.org/10.1117/12.2285723

APA

Iakshina, D. F., & Golubeva, E. N. (2017). Influence of the vertical mixing parameterization on the modeling results of the Arctic Ocean hydrology. в GG. Matvienko, & OA. Romanovskii (Ред.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Том 10466). [1046657] (Proceedings of SPIE; Том 10466). SPIE. https://doi.org/10.1117/12.2285723

Vancouver

Iakshina DF, Golubeva EN. Influence of the vertical mixing parameterization on the modeling results of the Arctic Ocean hydrology. в Matvienko GG, Romanovskii OA, Редакторы, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Том 10466. SPIE. 2017. 1046657. (Proceedings of SPIE). doi: 10.1117/12.2285723

Author

Iakshina, D. F. ; Golubeva, E. N. / Influence of the vertical mixing parameterization on the modeling results of the Arctic Ocean hydrology. 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Редактор / GG Matvienko ; OA Romanovskii. Том 10466 SPIE, 2017. (Proceedings of SPIE).

BibTeX

@inproceedings{693f8b1a292c4ca68520aeb588cd3a97,
title = "Influence of the vertical mixing parameterization on the modeling results of the Arctic Ocean hydrology",
abstract = "The vertical distribution of the hydrological characteristics in the upper ocean layer is mostly formed under the influence of turbulent and convective mixing, which are not resolved in the system of equations for large-scale ocean. Therefore it is necessary to include additional parameterizations of these processes into the numerical models. In this paper we carry out a comparative analysis of the different vertical mixing parameterizations in simulations of climatic variability of the Arctic water and sea ice circulation. The 3D regional numerical model for the Arctic and North Atlantic developed in the ICMMG SB RAS (Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Science) and package GOTM (General Ocean Turbulence Model1,2, http://www.gotm.net/) were used as the numerical instruments. NCEP/NCAR reanalysis data were used for determination of the surface fluxes related to ice and ocean. The next turbulence closure schemes were used for the vertical mixing parameterizations: 1) Integration scheme based on the Richardson criteria (RI); 2) Second-order scheme TKE with coefficients Canuto-A3 (CANUTO); 3) First-order scheme TKE with coefficients Schumann and Gerz4 (TKE-1); 4) Scheme KPP5 (KPP). In addition we investigated some important characteristics of the Arctic Ocean state including the intensity of Atlantic water inflow, ice cover state and fresh water content in Beaufort Sea.",
keywords = "Arctic Ocean modeling, Atlantic water inflow, fresh water content, sea ice, vertical mixing parameterization, SEA-ICE, ADVECTION, CLOSURE-MODEL, TURBULENCE, LAYER",
author = "Iakshina, {D. F.} and Golubeva, {E. N.}",
year = "2017",
month = jan,
day = "1",
doi = "10.1117/12.2285723",
language = "English",
isbn = "978-1-5106-1413-0",
volume = "10466",
series = "Proceedings of SPIE",
publisher = "SPIE",
editor = "GG Matvienko and OA Romanovskii",
booktitle = "23rd International Symposium on Atmospheric and Ocean Optics",
address = "United States",
note = "23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics ; Conference date: 03-07-2017 Through 07-07-2017",

}

RIS

TY - GEN

T1 - Influence of the vertical mixing parameterization on the modeling results of the Arctic Ocean hydrology

AU - Iakshina, D. F.

AU - Golubeva, E. N.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - The vertical distribution of the hydrological characteristics in the upper ocean layer is mostly formed under the influence of turbulent and convective mixing, which are not resolved in the system of equations for large-scale ocean. Therefore it is necessary to include additional parameterizations of these processes into the numerical models. In this paper we carry out a comparative analysis of the different vertical mixing parameterizations in simulations of climatic variability of the Arctic water and sea ice circulation. The 3D regional numerical model for the Arctic and North Atlantic developed in the ICMMG SB RAS (Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Science) and package GOTM (General Ocean Turbulence Model1,2, http://www.gotm.net/) were used as the numerical instruments. NCEP/NCAR reanalysis data were used for determination of the surface fluxes related to ice and ocean. The next turbulence closure schemes were used for the vertical mixing parameterizations: 1) Integration scheme based on the Richardson criteria (RI); 2) Second-order scheme TKE with coefficients Canuto-A3 (CANUTO); 3) First-order scheme TKE with coefficients Schumann and Gerz4 (TKE-1); 4) Scheme KPP5 (KPP). In addition we investigated some important characteristics of the Arctic Ocean state including the intensity of Atlantic water inflow, ice cover state and fresh water content in Beaufort Sea.

AB - The vertical distribution of the hydrological characteristics in the upper ocean layer is mostly formed under the influence of turbulent and convective mixing, which are not resolved in the system of equations for large-scale ocean. Therefore it is necessary to include additional parameterizations of these processes into the numerical models. In this paper we carry out a comparative analysis of the different vertical mixing parameterizations in simulations of climatic variability of the Arctic water and sea ice circulation. The 3D regional numerical model for the Arctic and North Atlantic developed in the ICMMG SB RAS (Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Science) and package GOTM (General Ocean Turbulence Model1,2, http://www.gotm.net/) were used as the numerical instruments. NCEP/NCAR reanalysis data were used for determination of the surface fluxes related to ice and ocean. The next turbulence closure schemes were used for the vertical mixing parameterizations: 1) Integration scheme based on the Richardson criteria (RI); 2) Second-order scheme TKE with coefficients Canuto-A3 (CANUTO); 3) First-order scheme TKE with coefficients Schumann and Gerz4 (TKE-1); 4) Scheme KPP5 (KPP). In addition we investigated some important characteristics of the Arctic Ocean state including the intensity of Atlantic water inflow, ice cover state and fresh water content in Beaufort Sea.

KW - Arctic Ocean modeling

KW - Atlantic water inflow

KW - fresh water content

KW - sea ice

KW - vertical mixing parameterization

KW - SEA-ICE

KW - ADVECTION

KW - CLOSURE-MODEL

KW - TURBULENCE

KW - LAYER

UR - http://www.scopus.com/inward/record.url?scp=85043343972&partnerID=8YFLogxK

U2 - 10.1117/12.2285723

DO - 10.1117/12.2285723

M3 - Conference contribution

AN - SCOPUS:85043343972

SN - 978-1-5106-1413-0

VL - 10466

T3 - Proceedings of SPIE

BT - 23rd International Symposium on Atmospheric and Ocean Optics

A2 - Matvienko, GG

A2 - Romanovskii, OA

PB - SPIE

T2 - 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

Y2 - 3 July 2017 through 7 July 2017

ER -

ID: 10455475