Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors
Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of pro...
Ausführliche Beschreibung
Autor*in: |
Knysh, V. V. [verfasserIn] Demyshev, S. G. [verfasserIn] Inyushina, N. V. [verfasserIn] Korotaev, G. K. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2008 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Physical oceanography - Sevastopol : Federal State Budget Scientific Institution Federal Research Centre "Marine Hydrophysical Institute of RAS", 1987, 18(2008), 1 vom: Jan., Seite 14-24 |
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Übergeordnetes Werk: |
volume:18 ; year:2008 ; number:1 ; month:01 ; pages:14-24 |
Links: |
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DOI / URN: |
10.1007/s11110-008-9006-6 |
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Katalog-ID: |
SPR016810341 |
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520 | |a Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. | ||
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10.1007/s11110-008-9006-6 doi (DE-627)SPR016810341 (SPR)s11110-008-9006-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.90 bkl Knysh, V. V. verfasserin aut Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. Vertical Velocity (dpeaa)DE-He213 Vertical Diffusion (dpeaa)DE-He213 Vertical Advection (dpeaa)DE-He213 Adaptive Statistic (dpeaa)DE-He213 Marine Hydrophysical Institute (dpeaa)DE-He213 Demyshev, S. G. verfasserin aut Inyushina, N. V. verfasserin aut Korotaev, G. K. verfasserin aut Enthalten in Physical oceanography Sevastopol : Federal State Budget Scientific Institution Federal Research Centre "Marine Hydrophysical Institute of RAS", 1987 18(2008), 1 vom: Jan., Seite 14-24 (DE-627)340872527 (DE-600)2065659-2 0928-5105 nnns volume:18 year:2008 number:1 month:01 pages:14-24 https://dx.doi.org/10.1007/s11110-008-9006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_63 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_110 GBV_ILN_120 GBV_ILN_161 GBV_ILN_285 GBV_ILN_293 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2190 GBV_ILN_4313 GBV_ILN_4328 GBV_ILN_4333 38.90 ASE AR 18 2008 1 01 14-24 |
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10.1007/s11110-008-9006-6 doi (DE-627)SPR016810341 (SPR)s11110-008-9006-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.90 bkl Knysh, V. V. verfasserin aut Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. Vertical Velocity (dpeaa)DE-He213 Vertical Diffusion (dpeaa)DE-He213 Vertical Advection (dpeaa)DE-He213 Adaptive Statistic (dpeaa)DE-He213 Marine Hydrophysical Institute (dpeaa)DE-He213 Demyshev, S. G. verfasserin aut Inyushina, N. V. verfasserin aut Korotaev, G. K. verfasserin aut Enthalten in Physical oceanography Sevastopol : Federal State Budget Scientific Institution Federal Research Centre "Marine Hydrophysical Institute of RAS", 1987 18(2008), 1 vom: Jan., Seite 14-24 (DE-627)340872527 (DE-600)2065659-2 0928-5105 nnns volume:18 year:2008 number:1 month:01 pages:14-24 https://dx.doi.org/10.1007/s11110-008-9006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_63 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_110 GBV_ILN_120 GBV_ILN_161 GBV_ILN_285 GBV_ILN_293 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2190 GBV_ILN_4313 GBV_ILN_4328 GBV_ILN_4333 38.90 ASE AR 18 2008 1 01 14-24 |
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10.1007/s11110-008-9006-6 doi (DE-627)SPR016810341 (SPR)s11110-008-9006-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.90 bkl Knysh, V. V. verfasserin aut Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. Vertical Velocity (dpeaa)DE-He213 Vertical Diffusion (dpeaa)DE-He213 Vertical Advection (dpeaa)DE-He213 Adaptive Statistic (dpeaa)DE-He213 Marine Hydrophysical Institute (dpeaa)DE-He213 Demyshev, S. G. verfasserin aut Inyushina, N. V. verfasserin aut Korotaev, G. K. verfasserin aut Enthalten in Physical oceanography Sevastopol : Federal State Budget Scientific Institution Federal Research Centre "Marine Hydrophysical Institute of RAS", 1987 18(2008), 1 vom: Jan., Seite 14-24 (DE-627)340872527 (DE-600)2065659-2 0928-5105 nnns volume:18 year:2008 number:1 month:01 pages:14-24 https://dx.doi.org/10.1007/s11110-008-9006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_63 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_110 GBV_ILN_120 GBV_ILN_161 GBV_ILN_285 GBV_ILN_293 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2190 GBV_ILN_4313 GBV_ILN_4328 GBV_ILN_4333 38.90 ASE AR 18 2008 1 01 14-24 |
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10.1007/s11110-008-9006-6 doi (DE-627)SPR016810341 (SPR)s11110-008-9006-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.90 bkl Knysh, V. V. verfasserin aut Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. Vertical Velocity (dpeaa)DE-He213 Vertical Diffusion (dpeaa)DE-He213 Vertical Advection (dpeaa)DE-He213 Adaptive Statistic (dpeaa)DE-He213 Marine Hydrophysical Institute (dpeaa)DE-He213 Demyshev, S. G. verfasserin aut Inyushina, N. V. verfasserin aut Korotaev, G. K. verfasserin aut Enthalten in Physical oceanography Sevastopol : Federal State Budget Scientific Institution Federal Research Centre "Marine Hydrophysical Institute of RAS", 1987 18(2008), 1 vom: Jan., Seite 14-24 (DE-627)340872527 (DE-600)2065659-2 0928-5105 nnns volume:18 year:2008 number:1 month:01 pages:14-24 https://dx.doi.org/10.1007/s11110-008-9006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_63 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_110 GBV_ILN_120 GBV_ILN_161 GBV_ILN_285 GBV_ILN_293 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2190 GBV_ILN_4313 GBV_ILN_4328 GBV_ILN_4333 38.90 ASE AR 18 2008 1 01 14-24 |
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10.1007/s11110-008-9006-6 doi (DE-627)SPR016810341 (SPR)s11110-008-9006-6-e DE-627 ger DE-627 rakwb eng 550 ASE 38.90 bkl Knysh, V. V. verfasserin aut Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. Vertical Velocity (dpeaa)DE-He213 Vertical Diffusion (dpeaa)DE-He213 Vertical Advection (dpeaa)DE-He213 Adaptive Statistic (dpeaa)DE-He213 Marine Hydrophysical Institute (dpeaa)DE-He213 Demyshev, S. G. verfasserin aut Inyushina, N. V. verfasserin aut Korotaev, G. K. verfasserin aut Enthalten in Physical oceanography Sevastopol : Federal State Budget Scientific Institution Federal Research Centre "Marine Hydrophysical Institute of RAS", 1987 18(2008), 1 vom: Jan., Seite 14-24 (DE-627)340872527 (DE-600)2065659-2 0928-5105 nnns volume:18 year:2008 number:1 month:01 pages:14-24 https://dx.doi.org/10.1007/s11110-008-9006-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_63 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_110 GBV_ILN_120 GBV_ILN_161 GBV_ILN_285 GBV_ILN_293 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2190 GBV_ILN_4313 GBV_ILN_4328 GBV_ILN_4333 38.90 ASE AR 18 2008 1 01 14-24 |
language |
English |
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Enthalten in Physical oceanography 18(2008), 1 vom: Jan., Seite 14-24 volume:18 year:2008 number:1 month:01 pages:14-24 |
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Enthalten in Physical oceanography 18(2008), 1 vom: Jan., Seite 14-24 volume:18 year:2008 number:1 month:01 pages:14-24 |
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Vertical Velocity Vertical Diffusion Vertical Advection Adaptive Statistic Marine Hydrophysical Institute |
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Knysh, V. V. @@aut@@ Demyshev, S. G. @@aut@@ Inyushina, N. V. @@aut@@ Korotaev, G. K. @@aut@@ |
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Knysh, V. V. ddc 550 bkl 38.90 misc Vertical Velocity misc Vertical Diffusion misc Vertical Advection misc Adaptive Statistic misc Marine Hydrophysical Institute Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors |
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550 ASE 38.90 bkl Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors Vertical Velocity (dpeaa)DE-He213 Vertical Diffusion (dpeaa)DE-He213 Vertical Advection (dpeaa)DE-He213 Adaptive Statistic (dpeaa)DE-He213 Marine Hydrophysical Institute (dpeaa)DE-He213 |
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assimilation of climatic hydrological data in a black-sea model based on the algorithm of adaptive statistics of prognostic errors |
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Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors |
abstract |
Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. |
abstractGer |
Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. |
abstract_unstemmed |
Abstract We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. |
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