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The Sixth International Conference "Supercomputer Technologies of Mathematical Modelling" (SCTeMM'25)
July 15, 2025 15:10, Moscow, Steklov Mathematical Institute, Conference hall, 9th floor (Gubkina 8)


Методы вариационного усвоения данных наблюдений в задачах геофизической гидродинамики

V. P. Shutyaev

Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow


https://vk.com/video-222947497_456239115
https://youtu.be/vstG3mI43Ho


References
  1. Marchuk G.I., Adjoint Equations and Analysis of Complex Systems, Springer, Dordrecht, 1995
  2. Zalesny V.B., Agoshkov V.I., Shutyaev V.P., Le Dimet F.-X., Ivchenko B.O., “Numerical modeling of ocean hydrodynamics with variational assimilation of observational data”, Izv. Atmos. Ocean. Phys., 52 (2016), 431–442
  3. Shutyaev V.P., “Methods for observation data assimilation in problems of physics of atmosphere and ocean”, Izv. Atmos. Ocean. Phys., 55 (2019), 17–31
  4. V.P. Shutyaev, Le Dimet F.-X., “Sensitivity of functionals of variational data assimilation problems”, Doklady Mathematics, 99:3 (2019), 295–298
  5. Shutyaev V., Agoshkov V., Zalesny V., Parmuzin E., Zakharova N., “4D Technology of variational data assimilation for sea dynamics problems”, Supercomputing Frontiers and Innovations, 9:1 (2022), 4–16
  6. Shutyaev V., Zalesny V., Agoshkov V., Parmuzin E., Zakharova N., “Four-dimensional variational data assimilation and sensitivity of ocean model state variables to observation errors”, J. Mar. Sci. Eng., 11 (2023), 1253
  7. Agoshkov V.I., Shutyaev V.P., Parmuzin E.I., Zakharova N.B., Sheloput T.O., “Metody variatsionnogo usvoeniya dannykh nablyudenii v zadachakh geofizicheskoi gidrodinamiki”, ZhVM i MF, 2025, № 6, 1378–1391


© Steklov Math. Inst. of RAS, 2025