Air pressure is an important measure for weather forecasting , and is also used in air transport , agriculture , NRM (Natural Resource Management) , astronomical observation, geophysics, geodesy , etc . Air pressure is an important criterion for weather forecasting , and is also widely used in some branches of science . In this paper , we propose the " ARIMA model " for modeling air pressure at the Isfahan Airport meteorological station . In the next step , the model assumptions will be examined . Finally , we will show how well the model describes the data . For convenience, all R code used in the paper is included at the end of the paper in the Appendix section.
Shams,M and Mirzaie,M A . (2025). Air Pressure Modeling with an ARIMA Time Series Model. Journal of Algorithms and Computation, 57(1), 59-79. doi: 10.22059/jac.2025.397946.1234
MLA
Shams,M , and Mirzaie,M A . "Air Pressure Modeling with an ARIMA Time Series Model", Journal of Algorithms and Computation, 57, 1, 2025, 59-79. doi: 10.22059/jac.2025.397946.1234
HARVARD
Shams M, Mirzaie M A. (2025). 'Air Pressure Modeling with an ARIMA Time Series Model', Journal of Algorithms and Computation, 57(1), pp. 59-79. doi: 10.22059/jac.2025.397946.1234
CHICAGO
M Shams and M A Mirzaie, "Air Pressure Modeling with an ARIMA Time Series Model," Journal of Algorithms and Computation, 57 1 (2025): 59-79, doi: 10.22059/jac.2025.397946.1234
VANCOUVER
Shams M, Mirzaie M A. Air Pressure Modeling with an ARIMA Time Series Model. J. Algo. Comp.. 2025;57(1):59-79. doi: 10.22059/jac.2025.397946.1234
