Unsupervised classification of vertical profiles of dual polarization radar variables

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Pysyväisosoite

http://hdl.handle.net/10138/318898

Lähdeviite

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

Julkaisun nimi: Unsupervised classification of vertical profiles of dual polarization radar variables
Tekijä: Tiira, Jussi; Moisseev, Dmitri
Tekijän organisaatio: Radar Meteorology group
INAR Physics
Institute for Atmospheric and Earth System Research (INAR)
University Management
Päiväys: 2020-03-13
Kieli: eng
Sivumäärä: 15
Kuuluu julkaisusarjaan: Atmospheric Measurement Techniques
ISSN: 1867-1381
DOI-tunniste: https://doi.org/10.5194/amt-13-1227-2020
URI: http://hdl.handle.net/10138/318898
Tiivistelmä: 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.
Avainsanat: 114 Physical sciences
1171 Geosciences
POLARIMETRIC RADAR
HYDROMETEOR CLASSIFICATION
SNOWFALL MICROPHYSICS
WINTER STORMS
MELTING LAYER
PHASE
SIGNATURES
AIRCRAFT
INSIGHTS
CLIMATE
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: cc_by
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


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