Assimilation of the Data of Satellite Altimetry in an Eddy-Resolving Model of Circulation of the Black Sea

Dorofeev, Yu. G.; Коротаев, Г. К.

doi:10.1023/b:poce.0000025369.39845.c3

Cited by 18 publications

(20 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the regions of high vertical gradients even small error in the isohaline depth produces large error. However simulated salinity maps agree well with observations, as it was shown earlier by (Dorofeyev and Korotaev, 2004a).…”

Section: Hydrographic Surveys and Profiling Floatssupporting

confidence: 77%

“…In the regions of high vertical gradients even small error in th depth produces large error. However simulated salinity maps agree well with obser it was shown earlier by (Dorofeyev and Korotaev, 2004a). Standard deviation of the differences between simulated and observed fields as a function of depth (solid lines), and the natural variability (root mean square deviation from mean value) of the same fields (dash lines) (according to Dorofeyev and Korotaev, 2004a).…”

Section: Quantitative Model Calibrationsupporting

confidence: 73%

“…This calibration is carried out with use of regular space remote sensing measurements, in situ data of hydrographic surveys, surface drifting buoys and deep profiling floats. Figure 7 Standard deviation of the differences between simulated and observed fields as a depth (solid lines), and the natural variability (root mean square deviation from mean v same fields (dash lines) (according to Dorofeyev and Korotaev, 2004a) Figure 7 shows, that the altimetry assimilation brings the most significant impr salinity field. It is natural, because density stratification in the Black Sea depends salinity.…”

Section: Quantitative Model Calibrationmentioning

confidence: 99%

“…and salinity field simulations. Standard deviations of simulated fields against the observed ones were calculated on each depth level (Dorofeyev and Korotaev, 2004a). These functions are presented on Fig.…”

Section: Hydrographic Surveys and Profiling Floatsmentioning

confidence: 99%

See 3 more Smart Citations

Development of Black Sea nowcasting and forecasting system

et al. 2011

Self Cite

View full text Add to dashboard Cite

Abstract. The paper presents the development of the Black Sea community nowcasting and forecasting system under the Black Sea GOOS initiative and the EU framework projects ARENA, ASCABOS and ECOOP. One of the objectives of the Black Sea Global Ocean Observing System project is a promotion of the nowcasting and forecasting system of the Black Sea, in order to implement the operational oceanography in the Black Sea region. The first phase in the realization of this goal was the development of the pilot nowcasting and forecasting system of the Black Sea circulation in the framework of project ARENA funded by the EU. The ARENA project included the implementation of advanced modeling and data assimilation tools for near real time prediction. Further progress in development of the Black Sea nowcasting and forecasting system was made in the frame of ASCABOS project, which was targeted at strengthening the communication system, ensuring flexible and operative infrastructure for data and information exchange between the Black Sea partners and end-users. The improvement of the system was made in the framework of the ECOOP project. As a result it was transformed into a real-time mode operational nowcasting and forecasting system. The paper provides the general description of the main parts of the system: circulation and ecosystem models, data assimilation approaches, the system architecture as well as their qualitative and quantitative calibrations.

show abstract

Section: Hydrographic Surveys and Profiling Floatssupporting

confidence: 77%

Section: Quantitative Model Calibrationsupporting

confidence: 73%

Section: Quantitative Model Calibrationmentioning

confidence: 99%

Section: Hydrographic Surveys and Profiling Floatsmentioning

confidence: 99%

See 2 more Smart Citations

Development of Black Sea nowcasting and forecasting system

et al. 2011

Self Cite

View full text Add to dashboard Cite

show abstract

“…Altimetry provides ocean velocity information indirectly through the geostrophy within the model. The assimilation of altimetry has been shown to improve model circulation in numerous studies of various parts of the ocean [18,17,16,33,13]. Satellite-derived surface current products compute the geostrophic component explicitly from altimetry often combining with a wind-induced Ekman surface current component derived from surface wind data.…”

Section: Introductionmentioning

confidence: 99%

Impact of data assimilation on ocean current forecasts in the Angola Basin

Phillipson

Toumi

2017

Ocean Modelling

View full text Add to dashboard Cite

Seasonal Variations and Transformations of Climatic Currents with Depth on the Basis of Assimilation of New Climatic Data on Temperature and Salinity in a Model of the Black Sea

2005

View full text Add to dashboard Cite

Demyshev, V. V. Knysh, and N. V. Inyushina UDC 551.465 The seasonal climatic circulation of the sea reconstructed on the basis of assimilation of new arrays of many-year average hydrological data in a model is analyzed. Five layers are discovered in the structure of climatic currents in the sea in depth: the surface Ekman layer (& 10 m), a layer with small vertical gradients of the kinetic energy (& 10-60 m), a layer with relatively high vertical gradients of the kinetic energy (& 60-150 m), a layer with gradual decrease in the kinetic energy and intensification (from 250-350 m) of the east cyclonic gyre and Batumi anticyclonic eddy (& 150-1000 m), and an abyssal layer characterized by an almost barotropic velocity (& 1000-2000 m).The specific features of the seasonal evolution of currents at these depths are investigated. It is shown that the key role in the formation of deep-water circulation of the sea is played by the south east flow, east cyclonic gyre, and Batumi anticyclonic eddy.Marine Hydrophysical Institute, Ukrainian Academy of Sciences, Sevastopol.

show abstract

Assimilation of the Data of Satellite Altimetry in an Eddy-Resolving Model of Circulation of the Black Sea

Cited by 18 publications

References 6 publications

Development of Black Sea nowcasting and forecasting system

Development of Black Sea nowcasting and forecasting system

Impact of data assimilation on ocean current forecasts in the Angola Basin

Seasonal Variations and Transformations of Climatic Currents with Depth on the Basis of Assimilation of New Climatic Data on Temperature and Salinity in a Model of the Black Sea

Contact Info

Product

Resources

About