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Conference material: "Scientific service & Internet: proceedings of the 25th All-Russian Scientific Conference (September 18-21, 2023, online)"
Authors: Tuchkova N.P., Belyaev K.P., Mikhaylov G.M.
Analysis of spatiotemporal variability of the coefficients of the stochastic differential equation of heat fluxes in the North Atlantic
For the analysis of heat fluxes observational data for 1979-2018 in the North Atlantic region were used. The spatiotemporal variability of the total heat flux, which is the sum of latent and sensible heat fluxes, was modeled by a stochastic diffusion process. The coefficients of the stochastic differential equation representing the stochastic process were statistically determined from the original dataset. Previously, the existence and uniqueness of a solution in the strong sense of a stochastic differential equation generated by the constructed diffusion process were proved under the conditions of Kolmogorov. In this paper, we analyze the spatial and long-term variability of the heat flux field. For a given series of 40 years in length from 1979 to 2018, spatial maps and time curves were constructed. Numerical calculations realized on the Lomonosov-2 supercomputer of the Lomonosov Moscow State University.
time series analysis, climatic seasonal cycle, maximum and minimum heat fluxes values within a climatic year
Publication language: russian,  pages: 8 (p. 359-366)
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About authors:
  • Tuchkova Natalia Pavlovna, Computing Center FRC CSC of RAS
  • Belyaev Konstantin Pavlovich, Computing Center FRC CSC of RAS; Shirshov Institute of Oceanology of RAS
  • Mikhaylov Gury Mikhaylovich, Computing Center FRC CSC of RAS