نمایش مختصر رکورد

dc.contributor.authorDas, Kalyanen_US
dc.contributor.authorRahman, Mden_US
dc.contributor.authorSrinivas, M.N.en_US
dc.contributor.authorDas, Anishaen_US
dc.contributor.authorKumar, Vijayen_US
dc.date.accessioned1400-12-14T14:23:54Zfa_IR
dc.date.accessioned2022-03-05T14:23:54Z
dc.date.available1400-12-14T14:23:54Zfa_IR
dc.date.available2022-03-05T14:23:54Z
dc.date.issued2022-01-01en_US
dc.date.issued1400-10-11fa_IR
dc.date.submitted2020-10-22en_US
dc.date.submitted1399-08-01fa_IR
dc.identifier.citationDas, Kalyan, Rahman, Md, Srinivas, M.N., Das, Anisha, Kumar, Vijay. (2022). Analysis of thunderstorms in Bangladesh using ARIMA model. International Journal of Nonlinear Analysis and Applications, 13(1), 2897-2909. doi: 10.22075/ijnaa.2021.21639.2284en_US
dc.identifier.issn2008-6822
dc.identifier.urihttps://dx.doi.org/10.22075/ijnaa.2021.21639.2284
dc.identifier.urihttps://ijnaa.semnan.ac.ir/article_6022.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/879817
dc.description.abstractIn this paper our main goal is to study the climatology and variability of the frequency of thunderstorm days over Bangladesh region throughout the year. It has been found that the mean thunderstorm days increase significantly from March to May, i.e. during the pre-monsoon season, although the graphical devices show that there does not seem to be much deviation from the occurrences of thunderstorms each year. The mean monthly and seasonal thunderstorm days were maximum in 1993, followed by that in 1997; whereas it was a minimum in the year 1980, with an extension in its frequency in the subsequent years 1981 and 1982. The coefficient of variation of both annual and seasonal thunderstorm days is minimum over the areas of maximum frequency of mean thunderstorm days and vice-versa. The time-domain analysis confirms that the occurrence happened to be maximum in the year 1991, although each and every state did not witness thunderstorms every year. Also some other time-domain models like autocorrelation and seasonal integrated moving average provide adequate evidence for exploring the number of thunderstorms which happen to confirm the trend of occurrence of thunderstorm over the years.en_US
dc.format.extent414
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherSemnan Universityen_US
dc.relation.ispartofInternational Journal of Nonlinear Analysis and Applicationsen_US
dc.relation.isversionofhttps://dx.doi.org/10.22075/ijnaa.2021.21639.2284
dc.subjectThunderstormen_US
dc.subjectFrequencyen_US
dc.subjectDifferential equationen_US
dc.subjectInterpolationen_US
dc.subjectextrapolationen_US
dc.subjectautocorrelation functionen_US
dc.subjectARIMAen_US
dc.titleAnalysis of thunderstorms in Bangladesh using ARIMA modelen_US
dc.typeTexten_US
dc.typeResearch Paperen_US
dc.contributor.departmentDepartment of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, HSIIDC Industrial Estate, Kundli -- 131028, Haryana, India.en_US
dc.contributor.departmentInstitute of Statistical Research \& Training (ISRT),University of Dhaka,Dhaka - 1000, Bangladesh.en_US
dc.contributor.departmentDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore-632014, India.en_US
dc.contributor.departmentDepartment of Statistics and Biostatistics, Florida State University, USA.en_US
dc.contributor.departmentDepartment of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, HSIIDC Industrial Estate, Kundli -- 131028, Haryana, India.en_US
dc.citation.volume13
dc.citation.issue1
dc.citation.spage2897
dc.citation.epage2909


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