Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis

This paper presents the wavelet-based analysis of meteorological parameters for nine meteorological stations in Saudi Arabia. The study utilised the daily mean values of pressure, temperature, relative humidity and wind speed data over a period of 16 years between 1990 and 2005. In case of rainfall...

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Main Author: Rehman, Shafiqur (author)
Other Authors: unknown (author)
Format: article
Published: 2020
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Online Access:https://eprints.kfupm.edu.sa/id/eprint/136070/1/shafiq_Application_Discrete_Continuous_Wavelets_for_Saudi_Arabian_Meteorological_Data_Analysis.pdf
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author Rehman, Shafiqur
author2 unknown
author2_role author
author_facet Rehman, Shafiqur
unknown
author_role author
dc.creator.none.fl_str_mv Rehman, Shafiqur
unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/136070/1/shafiq_Application_Discrete_Continuous_Wavelets_for_Saudi_Arabian_Meteorological_Data_Analysis.pdf
Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis. INDIAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/136070/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
dc.title.none.fl_str_mv Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description This paper presents the wavelet-based analysis of meteorological parameters for nine meteorological stations in Saudi Arabia. The study utilised the daily mean values of pressure, temperature, relative humidity and wind speed data over a period of 16 years between 1990 and 2005. In case of rainfall data, daily total values were used. The time series of meteorological parameters has so much noise that their overall shape is not visible upon visual inspection. It has been observed in the present investigation that trends become more and more readable at decomposition at different scales. The wavelet tools have been used to reveal the trends of the meteorological data time series. If the signal itself includes sharp changes then successive approximation look less and less similar to the original signal. This paper deals with the meteorological data visualisation. such as pressure, temperature, relative humidity, rainfall and the wind speed time series of the Kingdom of Saudi Arabia. The present analysis is based on discrete and continuous wavelet transforms.
eu_rights_str_mv openAccess
format article
id KFUPM_7eba5b4089dc2017b9b7b5355f13db05
identifier_str_mv Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis. INDIAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::136070
publishDate 2020
repository.mail.fl_str_mv
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spelling Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data AnalysisRehman, ShafiqurunknownEngineeringThis paper presents the wavelet-based analysis of meteorological parameters for nine meteorological stations in Saudi Arabia. The study utilised the daily mean values of pressure, temperature, relative humidity and wind speed data over a period of 16 years between 1990 and 2005. In case of rainfall data, daily total values were used. The time series of meteorological parameters has so much noise that their overall shape is not visible upon visual inspection. It has been observed in the present investigation that trends become more and more readable at decomposition at different scales. The wavelet tools have been used to reveal the trends of the meteorological data time series. If the signal itself includes sharp changes then successive approximation look less and less similar to the original signal. This paper deals with the meteorological data visualisation. such as pressure, temperature, relative humidity, rainfall and the wind speed time series of the Kingdom of Saudi Arabia. The present analysis is based on discrete and continuous wavelet transforms.ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/136070/1/shafiq_Application_Discrete_Continuous_Wavelets_for_Saudi_Arabian_Meteorological_Data_Analysis.pdf Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis. INDIAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS. enhttps://eprints.kfupm.edu.sa/id/eprint/136070/2020info:eu-repo/semantics/openAccessoai::1360702021-08-01T11:34:33Z
spellingShingle Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis
Rehman, Shafiqur
Engineering
status_str publishedVersion
title Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis
title_full Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis
title_fullStr Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis
title_full_unstemmed Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis
title_short Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis
title_sort Application of Discrete and Continuous Wavelets for Saudi Arabian Meteorological Data Analysis
topic Engineering
url https://eprints.kfupm.edu.sa/id/eprint/136070/1/shafiq_Application_Discrete_Continuous_Wavelets_for_Saudi_Arabian_Meteorological_Data_Analysis.pdf