Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Victor Shutyaev"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 6, p 1253 (2023)
The use of Four-Dimensional variational (4D-Var) data assimilation technology in the context of sea dynamics problems, with a sensitivity analysis of model results to observation errors, is presented. The technology is applied to a numerical model of
Externí odkaz:
https://doaj.org/article/44b36b5120eb42c2827a819174871a2a
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 7, p 503 (2020)
The technology is presented for modeling and prediction of marine hydrophysical fields based on the 4D variational data assimilation technique developed at the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS). The tec
Externí odkaz:
https://doaj.org/article/6647cd62f30041b48792170d45465c7f
Autor:
Vladimir Zalesny, Valeriy Agoshkov, Robert Aps, Victor Shutyaev, Anton Zayachkovskiy, Floris Goerlandt, Pentti Kujala
Publikováno v:
Journal of Marine Science and Engineering, Vol 5, Iss 3, p 27 (2017)
Methods and technology have been developed to solve a wide range of problems in the dynamics of sea currents and to assess their “impact” on objects in the marine environment. Technology can be used for monitoring and forecasting sea currents, fo
Externí odkaz:
https://doaj.org/article/fdc070d3ce644fb49357884ed5706eb7
Publikováno v:
Journal of Marine Science and Engineering; Volume 11; Issue 6; Pages: 1253
The use of Four-Dimensional variational (4D-Var) data assimilation technology in the context of sea dynamics problems, with a sensitivity analysis of model results to observation errors, is presented. The technology is applied to a numerical model of
Publikováno v:
Russian Journal of Numerical Analysis and Mathematical Modelling. 37:41-61
Prediction of pollution in water flow is a very important task. To this end, it is imperative to be able to define the uncertainty in a model prediction. This is the purpose of sensitivity analysis whose role is to identify what uncertainty in the mo
Publikováno v:
Russian Journal of Numerical Analysis and Mathematical Modelling. 36:347-357
The problem of stability and sensitivity of functionals of the optimal solution of the variational data assimilation of sea surface temperature for the model of sea thermodynamics is considered. The variational data assimilation problem is formulated
Data assimilation is the combination of information from observations and models of a particular physical system in order to get the best possible estimate of the state of that system. The technique has wide applications across a range of earth scien