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Properties of the Vertical Distribution of Diurnal Temperature Variations in Different Seasons in the Black Sea Based on the NEMO Model Data

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Abstract

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.

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REFERENCES

  1. S. Marullo, P. J. Minnett, R. Santoleri, et al., “The diurnal cycle of sea-surface temperature and estimation of the heat budget of the Mediterranean Sea,” J. Geophys. Res.: Oceans 121 (11), 8351–8367 (2016). https://doi.org/10.1002/2016JC012192

    Article  Google Scholar 

  2. A. C. Stuart-Menteth, I. S. Robinson, and P. G. Challenor, “A global study of diurnal warming using satellite-derived sea surface temperature,” J. Geophys. Res.: Oceans 108 (C5), 1–16 (2003). https://doi.org/10.1029/2002JC001534

    Article  Google Scholar 

  3. D. B. Chelton, S. K. Esbensen, M. G. Schlax, et al., “Observations of coupling between surface wind stress and sea surface temperature in the eastern tropical Pacific,” J. Clim. 14 (7), 1479–1498 (2001). https://doi.org/10.1175/1520-0442(2001)014<1479:OOCBSW>2.0.CO;2

    Article  Google Scholar 

  4. V. V. Efimov and V. S. Barabanov, " Breeze circulation in the Black Sea region," Phys. Oceanogr. 19 (5), 289–300 (2009).

    Article  Google Scholar 

  5. V. V. Efimov and A. V. Krupin, “Breeze circulation in the Black Sea region,” Russ. Meteorol. Hydrol. 41 (4), 240–246 (2016). https://doi.org/10.3103/S1068373916040026

    Article  Google Scholar 

  6. A. S. Mikaelyan, V. K. Chasovnikov, A. A. Kubryakov, et al., “Phenology and drivers of the winter-spring phytoplankton bloom in the open Black Sea: The application of Sverdrup’s hypothesis and its refinements,” Prog. Oceanogr. 151, 163–176 (2017). https://doi.org/10.1016/j.pocean.2016.12.006

    Article  Google Scholar 

  7. S. L. Castro, G. A. Wick, and J. J. H. Buck, “Comparison of diurnal warming estimates from unpumped Argo data and SEVIRI satellite observations,” Remote Sens. Environ. 140, 789–799 (2014). https://doi.org/10.1016/j.rse.2013.08.042

    Article  Google Scholar 

  8. C. L. Gentemann, P. J. Minnett, P. Le Borgne, and C. J. Merchant, “Multi-satellite measurements of large diurnal warming events,” Geophys. Res. Lett. 35 (22), L22602 (2008). https://doi.org/10.1029/2008GL035730

    Article  Google Scholar 

  9. V. A. Rubakina, A. A. Kubryakov, and S. V. Stanichnyi, “Seasonal and diurnal course of the Black Sea temperature according to thermal profiling drifting buoy data,” Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa 16 (5), 268–281 (2019). https://doi.org/10.21046/2070-7401-2019-16-5-268-281

    Article  Google Scholar 

  10. D. J. Bernie, S. J. Woolnough, J. M. Slingo, et al., “Modeling diurnal and intraseasonal variability of the ocean mixed layer,” J. Clim. 18 (8), 1190–1202 (2005). https://doi.org/10.1175/JCLI3319.1

    Article  Google Scholar 

  11. T. Shinoda and H. H. Hendon, “Mixed layer modeling of intraseasonal variability in the tropical Western Pacific and Indian Oceans,” J. Clim. 11 (10), 2668–2685 (1998). https://doi.org/10.1175/1520-0442(1998)011<2668:MLMOIV>2.0.CO;2

    Article  Google Scholar 

  12. J. P. McCreary, K. E. Kohler, R. R. Hood, et al., “Influences of diurnal and intraseasonal forcing on mixed-layer and biological variability in the central Arabian Sea,” J. Geophys. Res.: Oceans 106 (C4), 7139–7155 (2001). https://doi.org/10.1029/2000JC900156

    Article  Google Scholar 

  13. T. Shinoda, “Impact of the diurnal cycle of solar radiation on intraseasonal SST variability in the western equatorial Pacific,” J. Clim. 18 (14), 2628–2636 (2005). https://doi.org/10.1175/JCLI3432.1

    Article  Google Scholar 

  14. V. A. Rubakina, A. A. Kubryakov, and S. V. Stanichny, “Seasonal variability of the diurnal cycle of the Black Sea surface temperature from the SEVIRI satellite measurements,” Phys. Oceanogr. 26 (2), 157–169 (2019). https://doi.org/10.22449/1573-160X-2019-2-157-169

    Article  Google Scholar 

  15. V. A. Rubakina, A. A. Kubryakov, and S. V. Stanichnyi, “Seasonal and diurnal variability of the thermal skin layer characteristics based on a comparison of satellite measurements by SEVIRI and data from temperature-profiling drifters,” Izv., Atmos. Ocean. Phys. 57 (9), 950–961 (2021). https://doi.org/10.1134/S0001433821090607

    Article  Google Scholar 

  16. M. J. Filipiak, C. J. Merchant, H. Kettle, et al., “An empirical model for the statistics of sea surface diurnal warming,” Ocean Sci. 8 (2), 197–209 (2012). https://doi.org/10.5194/os-8-197-2012

    Article  Google Scholar 

  17. S. Marullo, R. Santoleri, V. Banzon, et al., “A diurnal-cycle resolving sea surface temperature product for the tropical Atlantic,” J. Geophys. Res.: Oceans 115 (C5), 1–18 (2010). https://doi.org/10.1029/2009JC005466

    Article  Google Scholar 

  18. C. J. Merchant, M. J. Filipiak, P. Le Borgne, et al., “Diurnal warm-layer events in the western Mediterranean and European shelf seas,” Geophys. Res. Lett. 35 (4), 1–4 (2008). https://doi.org/10.1029/2007GL033071

    Article  Google Scholar 

  19. S. Pimentel, K. Haines, and N. K. Nichols, “Modeling the diurnal variability of sea surface temperatures,” J. Geophys. Res.: Oceans 113 (C11) (2008). https://doi.org/10.1029/2007JC004607

  20. I. Karagali, J. L. Høyer, and C. J. Donlon, “Using a 1-D model to reproduce the diurnal variability of SST,” J. Geophys. Res.: Oceans 122 (4), 2945–2959 (2017). https://doi.org/10.1002/2016JC012542

    Article  Google Scholar 

  21. S. Pimentel, W. H. Tse, H. Xu, et al., “Modeling the near-surface diurnal cycle of sea surface temperature in the Mediterranean Sea,” J. Geophys. Res.: Oceans 124 (1), 171–183 (2019). https://doi.org/10.1029/2018JC014289

    Article  Google Scholar 

  22. A. P. Tolstosheev, E. G. Lunev, and V. S. Motyzhev, “Development of means and methods of drifter technology applied to the problem of the Black Sea research,” Oceanology (Engl. Transl.) 48 (1), 138–146 (2008).

  23. A. P. Tolstosheev, E. G. Lunev, and V. S. Motyzhev, “Analysis of the results of field experiments with thermal profiling drifting buoys in the Black Sea and other regions of the World Ocean,” Morsk. Gidrofiz. Zh., No. 5, 9–32 (2014).

  24. J. F. Price, R. A. Weller, and R. Pinkel, “Diurnal cycling: Observations and models of the upper ocean response to diurnal heating, cooling, and wind mixing,” J. Geophys. Res.: Oceans 91 (C7), 8411–8427 (1986). https://doi.org/10.1029/JC091iC07p08411

    Article  Google Scholar 

  25. C. A. Clayson and D. Weitlich, “Variability of tropical diurnal sea surface temperature,” J. Clim. 20 (2), 334–352 (2007). https://doi.org/10.1175/JCLI3999.1

    Article  Google Scholar 

  26. R. M. Yablonsky and I. Ginis, “Limitation of one-dimensional ocean models for coupled hurricane–ocean model forecasts,” Mon. Weather Rev. 137 (12), 4410–4419 (2009). https://doi.org/10.1175/2009MWR2863.1

    Article  Google Scholar 

  27. A. I. Mizyuk, G. K. Korotaev, and A. V. Grigoriev, “Long-term variability of thermohaline characteristics of the Azov Sea based on the numerical eddy-resolving model,” Phys. Oceanogr. 26 (5) 438–450 (2019).

    Google Scholar 

  28. W. Rodi, “Examples of calculation methods for flow and mixing in stratified fluids,” J. Geophys. Res.: Oceans 92 (C5), 5305–5328 (1987). https://doi.org/10.1029/JC092iC05p05305

    Article  Google Scholar 

  29. V. M. Canuto, A. Howard, Y. Cheng, et al., “Ocean turbulence. Part I: One-point closure model-momentum and heat vertical diffusivities,” J. Phys. Oceanogr. 31 (6), 1413–1426 (2001). https://doi.org/10.1175/1520-0485(2001)031<1413:OTPIOP>2.0.CO;2

    Article  Google Scholar 

  30. Copernicus Climate Change Service (C3S) ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate, Copernicus Climate Change Service Climate Data Store (CDS). https://cds.climate.copernicus.eu. Accessed August 22, 2018.

  31. W. G. Large and S. G. Yeager, Diurnal to decadal global forcing for ocean and sea-ice models: The data sets and flux climatologies, Tech Rep. No. NCAR/TN-460+STR (2004). https://doi.org/10.5065/D6KK98Q6

  32. E. A. Akimov, S. V. Stanichnyi, and A. B. Polonskii, “The use of SEVIRI data for estimating the Black Sea surface temperature,” Morsk. Gidrofiz. Zh., No. 6, 37–46 (2014).

  33. P. M. Saunders, “Aerial measurement of sea surface temperature in the infrared,” J. Geophys. Res. 72 (16), 4109–4117 (1967). https://doi.org/10.1029/JZ072i016p04109

    Article  Google Scholar 

  34. A. A. Kubryakov, V. N. Belokopytov, A. G. Zatsepin, et al., “The Black Sea mixed layer depth variability and its relation to the basin dynamics and atmospheric forcing,” Phys. Oceanogr. 26 (5), 397–413 (2019). https://doi.org/10.22449/1573-160X-2019-5-397-413

    Article  Google Scholar 

  35. H. U. Sverdrup, “On conditions for the vernal blooming of phytoplankton,” ICES J. Mar. Sci. 18 (3), 287–295 (1953). https://doi.org/10.1093/icesjms/18.3.287

    Article  Google Scholar 

  36. R. Ferrari, S. T. Merrifield, and J. R. Taylor, “Shutdown of convection triggers increase of surface chlorophyll,” J. Mar. Syst. 147, 116–122 (2015). https://doi.org/10.1016/j.jmarsys.2014.02.009

    Article  Google Scholar 

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Funding

The estimate of the daily temperature variation was supported by Russian Foundation for Basic Research, grant no. 20-35-70034. Validation of the SEVIRI scanner data and the NEMO model data was supported by the Russian Foundation for Basic Research, grant no. 19-35-90084. Spectral analysis of daily temperature fluctuations was supported by State Task no. 0555-2021-0006.

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Correspondence to V. A. Rubakina.

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Translated by E. Morozov

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Rubakina, V.A., Kubryakov, A.A., Stanichny, S.V. et al. Properties of the Vertical Distribution of Diurnal Temperature Variations in Different Seasons in the Black Sea Based on the NEMO Model Data. Izv. Atmos. Ocean. Phys. 58, 54–67 (2022). https://doi.org/10.1134/S000143382201011X

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