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    Identifying Weather Regimes in the Wintertime 500-hPa Geopotential Height Field for the Pacific–North American Sector Using a Limited-Contour Clustering Technique

    Source: Journal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 010::page 1619
    Author:
    Casola, Joseph H.
    ,
    Wallace, John M.
    DOI: 10.1175/JAM2564.1
    Publisher: American Meteorological Society
    Abstract: A hierarchical clustering algorithm using Ward?s method has been applied to the 500-hPa geopotential height field in the Pacific?North American sector. In contrast to previous clustering studies that measure distance between records by using all the grid points within the domain (full-field method), the procedure outlined here, referred to as the limited-contour method, focuses on the coordinates of the 540-dam contour as the distance measure. Comparison between the regimes emerging from the two methods shows that the limited-contour method is more efficient than the full-field method with respect to grouping maps with ridges located at similar longitudes. The four regimes emerging from the limited-contour clustering analysis have been named as follows: Off-Shore Trough, Alaskan Ridge, Coastal Ridge, and Rockies Ridge. The frequencies of occurrence of the regimes have a significant relationship with the phase of the El Niño?Southern Oscillation. El Niño winters exhibit a strong preference for the Rockies Ridge pattern; La Niña winters exhibit a greater diversity of regimes. The frequencies of occurrence of extreme cold outbreaks and episodes of heavy precipitation in the Pacific Northwest show a relatively strong connection to the regime type. For other regions in the western portion of the United States, only the frequency of occurrence of cold outbreaks exhibits a significant relationship to regime type.
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      Identifying Weather Regimes in the Wintertime 500-hPa Geopotential Height Field for the Pacific–North American Sector Using a Limited-Contour Clustering Technique

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    contributor authorCasola, Joseph H.
    contributor authorWallace, John M.
    date accessioned2017-06-09T16:48:23Z
    date available2017-06-09T16:48:23Z
    date copyright2007/10/01
    date issued2007
    identifier issn1558-8424
    identifier otherams-74484.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216714
    description abstractA hierarchical clustering algorithm using Ward?s method has been applied to the 500-hPa geopotential height field in the Pacific?North American sector. In contrast to previous clustering studies that measure distance between records by using all the grid points within the domain (full-field method), the procedure outlined here, referred to as the limited-contour method, focuses on the coordinates of the 540-dam contour as the distance measure. Comparison between the regimes emerging from the two methods shows that the limited-contour method is more efficient than the full-field method with respect to grouping maps with ridges located at similar longitudes. The four regimes emerging from the limited-contour clustering analysis have been named as follows: Off-Shore Trough, Alaskan Ridge, Coastal Ridge, and Rockies Ridge. The frequencies of occurrence of the regimes have a significant relationship with the phase of the El Niño?Southern Oscillation. El Niño winters exhibit a strong preference for the Rockies Ridge pattern; La Niña winters exhibit a greater diversity of regimes. The frequencies of occurrence of extreme cold outbreaks and episodes of heavy precipitation in the Pacific Northwest show a relatively strong connection to the regime type. For other regions in the western portion of the United States, only the frequency of occurrence of cold outbreaks exhibits a significant relationship to regime type.
    publisherAmerican Meteorological Society
    titleIdentifying Weather Regimes in the Wintertime 500-hPa Geopotential Height Field for the Pacific–North American Sector Using a Limited-Contour Clustering Technique
    typeJournal Paper
    journal volume46
    journal issue10
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAM2564.1
    journal fristpage1619
    journal lastpage1630
    treeJournal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 010
    contenttypeFulltext
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