Seasonal and interannual variability of the Black Sea eddies and its dependence on characteristics of the large-scale circulation

Kubryakov, A. A.; Stanichny, S. V.

doi:10.1016/j.dsr.2014.12.002

Cited by 95 publications

(67 citation statements)

References 22 publications

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“…It is also essential (1) to determine to which extent the shoaling of the oxygen penetration depth entrains a shoaling of the sulfidic onset depth, (2) to set up a continuous monitoring of the Black Sea oxygen inventory and the intensity of winter convective ventilation (through CIL cold content), and (3) to clarify and quantify the interplay of diapycnal and isopycnal ventilation mechanisms and, in particular, the role played by the peripheral permanent/semipermanent mesoscale structures and how this relates to the intensity of the Rim Current (Stanev et al, 2014;Kubryakov and Stanichny, 2015). We propose that these objectives might be answered by maintaining in the Black Sea a minimum population of both moored and drifting autonomous profilers equipped with oxygen and sulfidic sensors.…”

Section: Discussionmentioning

confidence: 99%

Decline of the Black Sea oxygen inventory

et al. 2016

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Section: Discussionmentioning

confidence: 99%

Decline of the Black Sea oxygen inventory

et al. 2016

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“…2) is the highest on the surface where it is 0.15 m/s for the anticyclonic and it is 0.13 m/s for cyclonic Seasonal variability of the main characteristics of cyclones and anticyclones is in antiphase. This was previously determined in [7] from altimeter data. Anticyclonic activity in the Black Sea increases in summer period during the decrease of the wind cyclonic vorticity and the BSRC intensity.…”

Section: Trajectories and Monitoring Frequency Of Eddiesmentioning

confidence: 99%

“…The cyclones are formed mainly on the left from the BSRC, in the area of the maximum cyclonic shift of the current velocity. The velocity shift of currents is probably the main mechanism for their generation in winter period [7,11].…”

Section: Trajectories and Monitoring Frequency Of Eddiesmentioning

confidence: 99%

“…max R and lim ν parameters are chosen on the basis of a comparison of identification results with the existing data on eddy dimensions and velocity in the Black Sea. At all horizons max R was set as equal to 80 km, which corresponds to the data on the maximum eddy dimensions in the Black Sea from [1][2][3][4][5][6][7][8][9][10][11]. lim ν minimum velocity changed vertically.…”

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confidence: 99%

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Three-Dimensional Identification of the Black Sea Mesoscale Eddies according to NEMO Numerical Model Calculations

Kubryakov¹,

Mizyuk²,

Puzina³

et al. 2018

PhO

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A new method of three-dimensional identification of mesoscale eddies based on the results of the Black Sea hydrodynamics modeling is applied. It is based on identification of the closed streamlines in the velocity fields. This method and the data resulted from the NEMO calculations for [2005][2006][2007][2008] are used to identify more than 1000 mesoscale eddies in the basin. The results permit to define eddy characteristic trajectories, calculate spatial variability of their velocities and radii and frequency of detection of cyclones and anticyclones. The obtained results are in good agreement with the earlier published studies of the eddy characteristics derived from satellite and in situ data. The modeling results permit to investigate the features of vertical distribution of eddy characteristics. The eddies are most often detected in the 0-150 m layer (the highest detection frequency F is within 20-50 m). In the 150-300 m layer this value is two times smaller, but still is substantial. Below 300 meters F quickly decreases with depth. The analogous distribution is characteristic of the eddy radii and orbital velocity: the highest values are observed in the upper 0-150 m layer, and in the lower layers they sharply decrease with depth. The analysis of seasonal variability of the eddy characteristics shows that the anticyclonic dynamics intensifies in summer, whereas the cyclonic one -in winter, that is consistent with the previous studies. The developed method provides additional opportunities for investigating the features of the eddy generation and evolution in the Black Sea.

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“…In the Black Sea region, altimetry data were validated using tide gauges, drifters, hydrology, and satellite imagery data in a series of studies [6][7][8][9][10][11][12][13][14], which show its good capability for reconstructing sea level and current velocity. Altimetry data were used to investigate mechanisms driving the Black Sea's large [7,15], and mesoscale dynamics [16][17][18][19], their seasonal and interannual variability [12,18,20], and their impact on the basin ecosystem [18,[21][22][23]. However, microwave altimetry measurements have several weaknesses.…”

Section: Introductionmentioning

confidence: 99%

Reconstructing Large- and Mesoscale Dynamics in the Black Sea Region from Satellite Imagery and Altimetry Data—A Comparison of Two Methods

2018

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Two remote sensing methods, satellite altimetry and 4D-Var assimilation of satellite imagery, are used to compute surface velocity fields in the Black Sea region. Surface currents derived from the two methods are compared for several cases with intense mesoscale and large-scale dynamics during low wind conditions. Comparison shows that the obtained results coincide well quantitatively and qualitatively. However, satellite imagery provides more reasonable results on the spatial variability of coastal dynamics than altimetry data. In particular, this is related to the reconstruction of eddy coastal dynamics, such as Black Sea near-shore anticyclones. Current streamlines in these eddies are not closed near the coast in altimetry data, which we relate to the extrapolation during mapping procedure in the absence of coastal along-track measurements. On the other hand, in offshore areas, imagery-derived currents can be underestimated due to the absence of thermal contrasts and smoothing during the procedure of the 4D-Var assimilation. Wind drift currents are another source of inconsistency, as their impact is directly observed in satellite imagery but absent in altimetry data. The advantage of the 4D-Var method for reconstructing coastal dynamics is used to compute surface currents in the Marmara Sea on the base of 250 m resolution Modis optical data. The results reveal the very complex dynamics of the basin, with a large number of mesoscale and sub-mesoscale eddies. 4D-Var assimilation of Modis imagery is used to obtain information about dynamic characteristics of these small eddies with radiuses of 4-10 km.

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Seasonal and interannual variability of the Black Sea eddies and its dependence on characteristics of the large-scale circulation

Cited by 95 publications

References 22 publications

Decline of the Black Sea oxygen inventory

Decline of the Black Sea oxygen inventory

Three-Dimensional Identification of the Black Sea Mesoscale Eddies according to NEMO Numerical Model Calculations

Reconstructing Large- and Mesoscale Dynamics in the Black Sea Region from Satellite Imagery and Altimetry Data—A Comparison of Two Methods

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