Academic Journal

Analysis of temperature and humidity in Oman using singular spectrum analysis

التفاصيل البيبلوغرافية
العنوان: Analysis of temperature and humidity in Oman using singular spectrum analysis
المؤلفون: Al-Marhoobi, Safia, Pepelyshev, Andrey
بيانات النشر: Taylor & Francis
سنة النشر: 2023
المجموعة: Cardiff University: ORCA (Online Research @ Cardiff)
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://orca.cardiff.ac.uk/id/eprint/138389/1/omandata19-01-2021.pdf; Al-Marhoobi, Safia and Pepelyshev, Andrey https://orca.cardiff.ac.uk/view/cardiffauthors/A090723N.html orcid:0000-0001-5634-5559 orcid:0000-0001-5634-5559 2023. Analysis of temperature and humidity in Oman using singular spectrum analysis. Communications in Statistics - Simulation and Computation 52 (4) , pp. 1404-1417. 10.1080/03610918.2021.1884714 https://doi.org/10.1080/03610918.2021.1884714 file https://orca.cardiff.ac.uk/id/eprint/138389/1/omandata19-01-2021.pdf
DOI: 10.1080/03610918.2021.1884714
الاتاحة: https://orca.cardiff.ac.uk/id/eprint/138389/
https://doi.org/10.1080/03610918.2021.1884714
https://orca.cardiff.ac.uk/id/eprint/138389/1/omandata19-01-2021.pdf
Rights: cc_by_nc
رقم الانضمام: edsbas.98A168D4
قاعدة البيانات: BASE
الوصف
DOI:10.1080/03610918.2021.1884714