Title: On the numerical solution and mathematical modelling of the global warming data from the years 1970 to 1994 and from 1995 to 2019

Authors: Zuhair A. Al-Hemyari; Jamal N. Al Abbasi

Addresses: Department of Mathematical and Physical Sciences, CAS, University of Nizwa, P.O. Box 33, PC 616, Nizwa, Oman ' Department of Statistics, Al-Nahrain University, Baghdad, Iraq

Abstract: In this paper, the numerical method and modelling of a big data set related to global warming are developed using several techniques. The data of daily temperatures is collected from several cities over a 50-year period. To study the existence 8of the global warming precisely, the collected data is to be divided into two equal secondary periods. In addition, several methods of analysis and modelling will be applied in this paper. The analytical and modelling methods applied to the global warming in this paper are unique. In addition, the results on this paper are comprehensive, prominent and describe the essence of the problem and its perspective in the future. In specific, the results have shown that the changes occurring in the climate in the studied cities are significant and more severe than the changes occurring in the past (before 1970) and in other countries of Middle East region.

Keywords: numerical solution; modelling; global warming; fitting; mixture distributions; EM algorithm.

DOI: 10.1504/IJMOR.2025.145758

International Journal of Mathematics in Operational Research, 2025 Vol.30 No.3, pp.267 - 294

Received: 01 Aug 2023
Accepted: 04 Aug 2023
Published online: 23 Apr 2025 *

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