Numerical modeling of the autumnal thermal bar

On the role of wind direction in the thermal bar dynamics in autumn: A numerical study

“…The atmospheric data, including air temperature, atmospheric pressure, relative humidity, and cloudiness, available from the Ust-Barguzin weather station archive for November 2015 (https://rp5.ru/), were used to calculate heat fluxes (the calculation formulas are given in [12]) at the The problem was solved numerically by the finite volume method. This method assumes that fluid velocity components are determined in the middle points of the cell boundaries and scalar values (water pressure, salinity, and temperature; and eddy viscosity and diffusivity coefficients) are in the center of the mesh cell.…”

“…Blokhina found that the deeper a lake is, the greater are the wind speeds required for the domination of the density instability of water masses, which is conditioned by the anomalous properties of the water [11]. In addition, the wind can destroy the thermal front in a short-term time frame [12].…”

Numerical modeling of spring plankton dynamics in the Selenga shallow waters of Lake Baikal

“…Ветер играет важную роль в озерной гидродинамике в периоды развития термобара [Blokhina, 2015;Tsydenov, 2018a]. В различных районах Байкала, в зависимости от особенностей ветрового режима и рельефа дна, вызванное ветром перемешивание достигает различной глубины [Верещагин, 1939].…”