статья в журнале

En

Izvestiya - Atmospheric and Oceanic Physics

ISSN:00014338
eSSN:1555-628X

2022

10.1134/S000143382201011X

A study has been performed for the Black Sea basin investigating the properties of the vertical distribution of the daily temperature variation in different seasons of 2015 and their relationship with stratification based on the results of the NEMO model simulations. It is shown that the seasonal variation and spatial features of the diurnal temperature variation based on the model simulation results coincide quite well with the measurements using the SEVIRI scanner. The simulation results and satellite measurements demonstrate the presence of a pronounced linear relationship between the amplitude of daily fluctuations and wind speed. The properties of seasonal variation of daily fluctuations are investigated based on the simulation results. A spectral analysis of the vertical distribution of temperature shows that, in the warm period of the year, the maximum daily fluctuations in energy are observed, which are localized in the upper 0–10 m water layer. In the cold period of the year, the intensity of daily fluctuations is much lower; however, the penetration depth of the daily temperature variation reaches 35–40 m. In March, there is an abrupt heating of rather deep layers, which is formed under conditions when night convection, which promotes sinking of warm waters, is preceded by calm conditions and significant daytime warming. In summer, in the presence of stable stratification, the waters that warmed during the day remain in the surface thin layer. During the cold season, daily temperature fluctuations penetrate deeper into the downwelling zones at the periphery of the basin than in the center of the sea. These spatial features qualitatively coincide with the position of the upper quasi-homogeneous layer, where stratification is weakly pronounced and does not interfere with night convection events. © 2022, Pleiades Publishing, Ltd.

Black Sea, daytime heating, diurnal temperature variation, NEMO, SEVIRI, spectral analysis

2022-05-11 11:20:06