Unsupervised classification of vertical profiles of dual polarization radar variables

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dc.contributor.author Tiira, Jussi
dc.contributor.author Moisseev, Dmitri
dc.date.accessioned 2020-08-31T18:47:02Z
dc.date.available 2020-08-31T18:47:02Z
dc.date.issued 2020-03-13
dc.identifier.citation Tiira , J & Moisseev , D 2020 , ' Unsupervised classification of vertical profiles of dual polarization radar variables ' , Atmospheric Measurement Techniques , vol. 13 , no. 3 , pp. 1227-1241 . https://doi.org/10.5194/amt-13-1227-2020
dc.identifier.other PURE: 140269124
dc.identifier.other PURE UUID: bf7b6360-a8e8-43ce-aafd-e12a0c9756c2
dc.identifier.other WOS: 000520409100001
dc.identifier.other ORCID: /0000-0002-4575-0409/work/79876303
dc.identifier.other ORCID: /0000-0003-0851-3989/work/79878170
dc.identifier.uri http://hdl.handle.net/10138/318898
dc.description.abstract Vertical profiles of polarimetric radar variables can be used to identify fingerprints of snow growth processes. In order to systematically study such manifestations of precipitation processes, we have developed an unsupervised classification method. The method is based on k-means clustering of vertical profiles of polarimetric radar variables, namely reflectivity, differential reflectivity and specific differential phase. For rain events, the classification is applied to radar profiles truncated at the melting layer top. For the snowfall cases, the surface air temperature is used as an additional input parameter. The proposed unsupervised classification was applied to 3.5 years of data collected by the Finnish Meteorological Institute Ikaalinen radar. The vertical profiles of radar variables were computed above the University of Helsinki Hyytiala station, located 64 km east of the radar. Using these data, we show that the profiles of radar variables can be grouped into 10 and 16 classes for rainfall and snowfall events, respectively. These classes seem to capture most important snow growth and ice cloud processes. Using this classification, the main features of the precipitation formation processes, as observed in Finland, are presented. en
dc.format.extent 15
dc.language.iso eng
dc.relation.ispartof Atmospheric Measurement Techniques
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 114 Physical sciences
dc.subject 1171 Geosciences
dc.subject WINTER STORMS
dc.subject MELTING LAYER
dc.subject PHASE
dc.subject SIGNATURES
dc.subject AIRCRAFT
dc.subject INSIGHTS
dc.subject CLIMATE
dc.title Unsupervised classification of vertical profiles of dual polarization radar variables en
dc.type Article
dc.contributor.organization Radar Meteorology group
dc.contributor.organization INAR Physics
dc.contributor.organization Institute for Atmospheric and Earth System Research (INAR)
dc.contributor.organization University Management
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.5194/amt-13-1227-2020
dc.relation.issn 1867-1381
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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