2017
DOI: 10.1134/s0001437017060017
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Modeling of Long-Term Evolution of Hydrophysical Fields of the Black Sea

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Cited by 7 publications
(7 citation statements)
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“…These errors indicate that the SKIRON data on sea surface T temperature and climatic data on S salinity differ from the ARGO data. The nature of the error profiles in depth corresponds to those presented in [16]: the model in the 50-200 m layer rather strongly underestimates the salinity, and in the 50-100 m layer it overstates the temperature.…”
Section: The Mean and Rms Deviations Of Model T And S From The Valuessupporting
confidence: 58%
See 2 more Smart Citations
“…These errors indicate that the SKIRON data on sea surface T temperature and climatic data on S salinity differ from the ARGO data. The nature of the error profiles in depth corresponds to those presented in [16]: the model in the 50-200 m layer rather strongly underestimates the salinity, and in the 50-100 m layer it overstates the temperature.…”
Section: The Mean and Rms Deviations Of Model T And S From The Valuessupporting
confidence: 58%
“…The implementation of this method consists in adding relaxation terms to the equations for temperature and salinity, representing the difference between the climatic and model values of these characteristics multiplied by the relaxation coefficient, which is equal to the inverse relaxation time of the model to the observations [15]. This method is mainly used for deep layers in the BS models [16]. The method can be considered as a simple assimilation of climate data observations in the ocean models.…”
Section: The Model and Argo Data Descriptionmentioning
confidence: 99%
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“…For the parameterization of vertical fluxes of momentum, heat and salt, a turbulent model is used. This is a QETE quasi-equilibrium turbulent energy model [15], which is part of the Mellor-Yamada models family [16] and consists of two equations -turbulent energy evolution q 2 /2 and the turbulence scale l. This variant of circulation model was described in detail in [17] and was applied for the modeling of the Black Sea long-term dynamics evolution with no data assimilation.…”
Section: Methodsmentioning
confidence: 99%
“…В работе [2] реанализ выполнен за период 1993-2012 гг. на основе изложенной в [3] модели с пространственным разрешением 5 × 5 км. В модели усваивались данные спутниковых измерений (температура поверхности моря, аномалии уровня), а также профили температуры и солености на глубинах ниже 200 м, описывающие климатический сезонный ход.…”
Section: Introductionunclassified