PCA analysis of wind direction climate in the baltic states

Wind direction is one of the fundamental parameters of weather. In this study we investigate the wind direction climate 10 m above surface level in the Baltic States (Estonia, Latvia, Lithuania). The analysis of wind direction over larger regions is usually hindered by the fact that wind direction i...

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Autores principales:	Maksims Pogumirskis, Tija Sīle, Juris Seņņikovs, Uldis Bethers
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	wind direction principal component analysis baltic sea coastal winds Oceanography GC1-1581 Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/fcadb9385b534cccb2318b3e7d688acf
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id	oai:doaj.org-article:fcadb9385b534cccb2318b3e7d688acf
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spelling	oai:doaj.org-article:fcadb9385b534cccb2318b3e7d688acf2021-12-01T14:40:59ZPCA analysis of wind direction climate in the baltic states1600-087010.1080/16000870.2021.1962490https://doaj.org/article/fcadb9385b534cccb2318b3e7d688acf2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/16000870.2021.1962490https://doaj.org/toc/1600-0870Wind direction is one of the fundamental parameters of weather. In this study we investigate the wind direction climate 10 m above surface level in the Baltic States (Estonia, Latvia, Lithuania). The analysis of wind direction over larger regions is usually hindered by the fact that wind direction is a circular variable, which means that averaged values are meaningless. Here we show how Principal Component Analysis (PCA) can be applied to give a large scale overview of typical wind direction patterns in the region. Here we apply PCA to both observational and reanalysis data. The most significant wind direction patterns are detected in both synoptic scale and mesoscale, and we attempt to link the identified patterns with meteorological phenomena. In addition, the differences in the PCA results between observation and model data are analysed. The results show that PCA method is successful in identifying and ranking the wind direction climate features, leading to a complete and thorough investigation for the whole region that would be not possible by human researchers analysing individual distributions of wind direction.Maksims PogumirskisTija SīleJuris SeņņikovsUldis BethersTaylor & Francis Grouparticlewind directionprincipal component analysisbaltic seacoastal windsOceanographyGC1-1581Meteorology. ClimatologyQC851-999ENTellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wind direction principal component analysis baltic sea coastal winds Oceanography GC1-1581 Meteorology. Climatology QC851-999
spellingShingle	wind direction principal component analysis baltic sea coastal winds Oceanography GC1-1581 Meteorology. Climatology QC851-999 Maksims Pogumirskis Tija Sīle Juris Seņņikovs Uldis Bethers PCA analysis of wind direction climate in the baltic states
description	Wind direction is one of the fundamental parameters of weather. In this study we investigate the wind direction climate 10 m above surface level in the Baltic States (Estonia, Latvia, Lithuania). The analysis of wind direction over larger regions is usually hindered by the fact that wind direction is a circular variable, which means that averaged values are meaningless. Here we show how Principal Component Analysis (PCA) can be applied to give a large scale overview of typical wind direction patterns in the region. Here we apply PCA to both observational and reanalysis data. The most significant wind direction patterns are detected in both synoptic scale and mesoscale, and we attempt to link the identified patterns with meteorological phenomena. In addition, the differences in the PCA results between observation and model data are analysed. The results show that PCA method is successful in identifying and ranking the wind direction climate features, leading to a complete and thorough investigation for the whole region that would be not possible by human researchers analysing individual distributions of wind direction.
format	article
author	Maksims Pogumirskis Tija Sīle Juris Seņņikovs Uldis Bethers
author_facet	Maksims Pogumirskis Tija Sīle Juris Seņņikovs Uldis Bethers
author_sort	Maksims Pogumirskis
title	PCA analysis of wind direction climate in the baltic states
title_short	PCA analysis of wind direction climate in the baltic states
title_full	PCA analysis of wind direction climate in the baltic states
title_fullStr	PCA analysis of wind direction climate in the baltic states
title_full_unstemmed	PCA analysis of wind direction climate in the baltic states
title_sort	pca analysis of wind direction climate in the baltic states
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/fcadb9385b534cccb2318b3e7d688acf
work_keys_str_mv	AT maksimspogumirskis pcaanalysisofwinddirectionclimateinthebalticstates AT tijasile pcaanalysisofwinddirectionclimateinthebalticstates AT jurissennikovs pcaanalysisofwinddirectionclimateinthebalticstates AT uldisbethers pcaanalysisofwinddirectionclimateinthebalticstates
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PCA analysis of wind direction climate in the baltic states

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