Abstract
Hydrophysical fields and arrays of kinetic and potential energy budget components, continuous in time and space, were reconstructed on the basis of a thermohydrodynamic model and observational measurements of temperature and salinity in 2007 and 2009 in the region of western Crimea. To implement the procedure of assimilation of data observations, we used a four-dimensional analysis, based on a Kalman filter, taking into account the heterogeneity and non-isotropy of error estimates of temperature and salinity. We used a real atmospheric forcing and a high resolution (a horizontal grid ~1.6 × 1.6 km and 30 vertical layers from 1 to 1200 m). The change of kinetic energy was determined mainly by wind action, vertical friction and the work of pressure forces; change in potential energy—by advection of potential energy. The calculated fields of currents were characterized by mesoscale eddy formations and jet currents. A horizontal velocity shear (resulting from the negative work of the wind force) and current flow around the coastline under the action of weak winds could be possible mechanisms of the generation of coastal mesoscale and submesoscale eddies in the coastal zone.
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References
Knysh VV, Korotaev GK, Mizyuk AI, Sarkisyan AS (2012) Assimilation of hydrological observation data for calculating currents in seas and oceans. Izv Atmos Ocean Phys 48:57–73. https://doi.org/10.1134/S0001433812010057
Tanajura CAS, Costa FB, Silva RR, Ruggiero GA et al (2014) Assimilation of sea surface height anomalies into HYCOM with an Optimal Interpolation Scheme over the Atlantic Ocean. Rev Brasilian Geofis 31:257–270. https://doi.org/10.22564/rbgf.v31i2.293
Agoshkov VI, Parmuzin EI, Shutyaev VP (2013) Observational data assimilation in the problem of Black Sea circulation and sensitivity analysis of its solution. Izv Atmos Ocean Phys 49:592–602. https://doi.org/10.1134/S0001433813060029
Zelenko AA, Vil’fand RM, Resnyanskii YuD, Strukov BS et al (2016) An ocean data as-similation system and reanalysis of the world ocean hydrophysical fields. Izvestiya. at-Mospheric and Oceanic Physics. 52(4):443–454. https://doi.org/10.1134/S0001433816040149
Agoshkov VI, Zalesny VB, Sheloput TO (2020) Variational assimilation of data in prob-lems of modeling hydrophysical fields in open water areas. Izvestiya RAN. Phys Atmos Ocean 56(3):293–308. https://doi.org/10.1134/S0001433820030020
Demyshev SG (2011) Prognostic numerical analysis of currents in the black sea with high horizontal resolution. Phys Oceanogr 21(1):33–44. https://doi.org/10.1007/s11110-011-9102-x
Knysh VV, Moiseenko VA, Sarkisyan AS, Timchenko IE (1980) Complex use of meas-urements at the hydrophysical ocean polygons in four-dimensional analysis. Reports of AS USSR. 252(4):832–836
Knysh VV (1981) Hydrothermodynamic models of the ocean in the algorithm of multielement four-dimensional analysis of hydrophysical fields: dissertation for the degree of Doctor of Physics and Mathematics. Sevastopol, 396 p. (in Russian)
Pacanowski RC, Philander SGH (1981) Parameterization of vertical mixing in numerical models of tropical oceans. J Phys Oceanogr 11(11):1443–1451
ALADIN international team (1997) The ALADIN project: mesoscale modelling seen as a basic tool for weather forecasting and atmospheric research. World Meteorol Organ Bulle 46(4):317–324. http://www.umr-cnrm.fr/aladin/IMG/pdf/ALADIN_PROJECT-pdf_-_Adobe_Acrobat_Professional.pdf. Accessed 23 Nov 2020
NonHydrostatic SKIRON/Eta modelling system. http://forecast.uoa.gr/forecastnew.php. Accessed 18 Apr 2019
Suvorov AM, Andryushchenko EG, Godin EA, Ingerov AV et al (2003) The bank of oceanological data of the MHI NASU: content and structure of databases, database man-agreement system. Environ Monit Syst 130–137. (in Russian)
Demyshev SG (2004) Energy of the Black Sea climatic circulation. Part I. Discrete equa-tions for the rate of change of kinetic and potential energies. Meteorol Hydrol 9:65–80
Acknowledgements
The analysis of hydrophysical fields, reconstructed taking into account the data of hydrological surveys of 2007–2009, was carried out with the financial support of the Russian Foundation for Basic Research and the city of Sevastopol within the framework of the scientific project No. 18-45-920019. The study of possible physical mechanisms for the generation of meso- and submesoscale circulation features on the basis of the analysis of energy fields was carried out within the framework of the state assignment on topic No. 0555-2021-0004 (code “Oceano-logical processes”).
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Sergei, D., Natalia, E. (2022). Calculation of Dynamic and Energy Characteristics in the Region of Western Crimea Based on the Observational Data from Hydrological Surveys in 2007–2009 in the Numerical Model of the Black Sea Dynamics Using the Kalman Filter Algorithm. In: Chaplina, T. (eds) Processes in GeoMedia—Volume V. Springer Geology. Springer, Cham. https://doi.org/10.1007/978-3-030-85851-3_8
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