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

Tuchkova Natalia Pavlovna,  ,  orcid.org/0000-0001-5357-9640,  Dorodnicyn Computing Center FRC CSC of RAS

Belyaev Konstantin Pavlovich,  ,  orcid.org/0000-0003-2111-2709,  Dorodnicyn Computing Center FRC CSC of RAS; Shirshov Institute of Oceanology of RAS

Mikhaylov Gury Mikhaylovich,  ,  orcid.org/0000-0002-4535-7180,  Dorodnicyn Computing Center FRC CSC of RAS