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Analysis of temperature and humidity in Oman using singular spectrum analysis

Al Marhoobi, S. and Pepelyshev, Andrey 2021. Analysis of temperature and humidity in Oman using singular spectrum analysis. Communications in Statistics - Simulation and Computation 10.1080/03610918.2021.1884714
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Abstract

The purpose of this paper is to study hourly time series of temperature and humidity from six meteorological stations in Oman from 2009 to 2018. Since our data contains missing values due to device failures, we have compared several methods of imputation and found that regression with lagging is most reasonable. To extract the annual oscillations and daily periodicities from hourly time series we apply Singular Spectrum Analysis. By applying the Mann–Kendall test, Spearman’s rho test and the ITM test to the annual oscillations and daily periodicities monotonic trends in temperature and humidity over the ten year period have not been confirmed.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Mathematics
Publisher: Taylor & Francis
ISSN: 0361-0918
Date of First Compliant Deposit: 10 February 2021
Date of Acceptance: 25 January 2021
Last Modified: 31 Mar 2021 13:07
URI: http://orca.cf.ac.uk/id/eprint/138389

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