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Forecasting of Air Maximum Temperature on Monthly Basis Using Singular Spectrum Analysis and Linear Autoregressive Model

Al-Bdairi, N, Zubaidi, S, Al-Bugharbee, H, Hashim, KS, Farhan, S and Al Defae, A (2021) Forecasting of Air Maximum Temperature on Monthly Basis Using Singular Spectrum Analysis and Linear Autoregressive Model. In: IOP Conference Series : Earth and Environmental Science . (IOP Conference Series: Earth and Environmental Science,, 1st-2nd September 2021, Erbil, Iraq).

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Abstract

In this research, the singular spectrum analysis technique is combined with a linear autoregressive model for the purpose of prediction and forecasting of monthly maximum air temperature. The temperature time series is decomposed into three components and the trend component is subjected for modelling. The performance of modelling for both prediction and forecasting is evaluated via various model fitness function. The results show that the current method presents an excellent performance in expecting the maximum air temperature in future based on previous recordings.

Item Type: Conference or Workshop Item (Paper)
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Publisher: IOP Publishing
Date Deposited: 17 Nov 2021 12:25
Last Modified: 17 Nov 2021 12:30
URI: https://researchonline.ljmu.ac.uk/id/eprint/15798

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