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Sensitivity of results of Black Sea level modeling to the choice of boundary conditions on the free surface  id статьи: 196
Тип публикации
материалы конференции
Язык
En
Журнал
Journal of Physics: Conference Series

ISSN:17551307
Год
2019
Выходные данные
том 386
выпуск 1
страницы Номер статьи 012027
EDN
Абстракт
This work is devoted to an analysis of the influence of sea surface boundary conditions on results of Black Sea level modeling. Two numerical experiments are carried out by using a z-coordinate model of the Marine Hydrophysical Institute, RAS. A linear kinematic condition on the free surface is used for calculating a level rise in the first experiment and a nonlinear one - in the second experiment. The analysis shows that both experiments reconstruct the Black Sea surface dynamics in accordance with altimetry data. It is found that the sea level near the western boundary of the basin decreases under the nonlinear kinematic condition in cases of storm winds. The greatest differences in the structure of the sea level fields are observed during weakening of the RIM Current in the evolution zones of Sevastopol and Batumi anticyclones. The minimal and maximal values of the level are almost identical in both experiments, but the locations do not match. The discrepancies in the spatial positions of raising/lowering levels are due to a mismatch in the motion phases of anticyclones and mesoscale eddies along the periphery of the RIM Current. © Published under licence by IOP Publishing Ltd.
Ключевые слова
ATMOSPHERIC PRESSURE, BOUNDARY CONDITIONS, ENVIRONMENTAL TECHNOLOGY, KINEMATICS, STORMS, SURFACE WATERS
Дата занесения
2019-12-12 15:49:00
Scopus
Статус есть
Квартиль --
WoS
Статус нет
Квартиль --
РИНЦ
Статус нет
Импакт-фактор --
количество баллов за публикацию
2
количество баллов каждому автору
0.67
история начисления баллов за квартал:
Финансирование:

18-45-92001

0827-2019-0003
Фундаментальные исследования океанологических процессов, определяющих состояние и эволюцию морской среды под влиянием естественных и антропогенных факторов, на основе методов наблюдения и моделирования