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    Definition of Climate Regions in the Northern Plains Using an Objective Cluster Modification Technique

    Source: Journal of Climate:;1996:;volume( 009 ):;issue: 001::page 130
    Author:
    Bunkers, Matthew J.
    ,
    Miller, James R.
    ,
    DeGaetano, Arthur T.
    DOI: 10.1175/1520-0442(1996)009<0130:DOCRIT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Spatially homogeneous climate regions were developed from long-term monthly temperature and precipitation data for a subset of the U.S. Northern Plains. Climate regions were initially defined using the ?best? of three agglomerative and hierarchical clustering methodologies, then the clusters were objectively modified using a ?pseudohierarchical? iterative improvement technique. Under the premise of hierarchical cluster analysis, once an object has been assigned to a cluster, it cannot later he reassigned to a different cluster, even if it is statistically desirable. The objective modification technique used herein is employed to compensate for this problem. Principal component analysis (PCA) was used to reduce a 147-station dataset, consisting of 24 climatic variables averaged over the 1931?1990 period, to three orthogonal components. The new standardized mars, which explain 93% of the original dataset variance, were then subjected to the Ward's, average linkage, and complete linkage clustering methods. The average linkage method produced the most representative statistical results in identifying the climate regions. An iterative improvement technique was then utilized to test ?border station? membership and to modify the climate region houses. Fifteen climate regions resulted from the clustering (with two single-station clusters in the Black Hills alone), although they age just one possible partitioning of the data. The within-cluster variability is generally the same for the 15 climate regions and the corresponding 21 National Climatic Data Center (NCM) climate divisions. However, since data within-cluster variability tends to decrease with increasing cluster number, this result favors the new climate regions. Additionally, the new climate regions am shown to be superior to the NCDC climate, divisions in wont of between-cluster variability. These results suggest that the NCDC climate divisions could be redefined, improving their climatic homogeneity.
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      Definition of Climate Regions in the Northern Plains Using an Objective Cluster Modification Technique

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4183833
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    contributor authorBunkers, Matthew J.
    contributor authorMiller, James R.
    contributor authorDeGaetano, Arthur T.
    date accessioned2017-06-09T15:28:50Z
    date available2017-06-09T15:28:50Z
    date copyright1996/01/01
    date issued1996
    identifier issn0894-8755
    identifier otherams-4489.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4183833
    description abstractSpatially homogeneous climate regions were developed from long-term monthly temperature and precipitation data for a subset of the U.S. Northern Plains. Climate regions were initially defined using the ?best? of three agglomerative and hierarchical clustering methodologies, then the clusters were objectively modified using a ?pseudohierarchical? iterative improvement technique. Under the premise of hierarchical cluster analysis, once an object has been assigned to a cluster, it cannot later he reassigned to a different cluster, even if it is statistically desirable. The objective modification technique used herein is employed to compensate for this problem. Principal component analysis (PCA) was used to reduce a 147-station dataset, consisting of 24 climatic variables averaged over the 1931?1990 period, to three orthogonal components. The new standardized mars, which explain 93% of the original dataset variance, were then subjected to the Ward's, average linkage, and complete linkage clustering methods. The average linkage method produced the most representative statistical results in identifying the climate regions. An iterative improvement technique was then utilized to test ?border station? membership and to modify the climate region houses. Fifteen climate regions resulted from the clustering (with two single-station clusters in the Black Hills alone), although they age just one possible partitioning of the data. The within-cluster variability is generally the same for the 15 climate regions and the corresponding 21 National Climatic Data Center (NCM) climate divisions. However, since data within-cluster variability tends to decrease with increasing cluster number, this result favors the new climate regions. Additionally, the new climate regions am shown to be superior to the NCDC climate, divisions in wont of between-cluster variability. These results suggest that the NCDC climate divisions could be redefined, improving their climatic homogeneity.
    publisherAmerican Meteorological Society
    titleDefinition of Climate Regions in the Northern Plains Using an Objective Cluster Modification Technique
    typeJournal Paper
    journal volume9
    journal issue1
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(1996)009<0130:DOCRIT>2.0.CO;2
    journal fristpage130
    journal lastpage146
    treeJournal of Climate:;1996:;volume( 009 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian