Air Pressure Modeling with an ARIMA Time Series Model
نویسندگان
1 Department of Mathematics, University of Kashan, Kashan, Iran.
2 Department of Mathematical Sciences, University of Kashan, Isfahan, Iran.
doi
10.22059/jac.2025.397946.1234چکیده
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.
