Abstract
The article is devoted to the problems of seasonal changes of temperature in the warm and cold periods of the year. To describe the development of the process over time, a spatial statistical model has been created that allows predicting physical fields over the entire specified information space. To predict seasonal changes in temperature, we used a two-dimensional model with an interval of the process history within a three-year period. The results of testing the spatial model for the territory of Western Siberia on large statistical material are compared with the forecast results obtained using the one-dimensional model. The obtained results are also compared with the forecast results using the climate model and the inertial model. The possibilities of modifying the model in order to increase its efficiency are discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
