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    Comments on “Use of Mesoscale Climatology in Mountainous Terrain to Improve the Spatial Representation of Mean Monthly Temperatures”

    Source: Monthly Weather Review:;1979:;volume( 107 ):;issue: 003::page 352
    Author:
    Hennessey, Joseph P.
    DOI: 10.1175/1520-0493(1979)107<0352:COOMCI>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Pielke and Mehring have recently recommended a method for contouring temperature fields in mountainous terrain. In attempting to extend this method to the more complex terrain on the prototype, federal, oil shale leaseholds it was found that 1) it is difficult to find climatically homogeneous regions with enough climatic stations for meaningful analyses; 2) the method of contouring a height field in terms of a temperature statistic could be generalized to include cases where second-order statistical models are required; and 3) denser data networks increase the probability of finding climatically homogeneous regions?an advantage which outweighs, at least in this region, the usual disadvantages of increased resolution.
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      Comments on “Use of Mesoscale Climatology in Mountainous Terrain to Improve the Spatial Representation of Mean Monthly Temperatures”

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4200015
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    contributor authorHennessey, Joseph P.
    date accessioned2017-06-09T16:02:23Z
    date available2017-06-09T16:02:23Z
    date copyright1979/03/01
    date issued1979
    identifier issn0027-0644
    identifier otherams-59455.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4200015
    description abstractPielke and Mehring have recently recommended a method for contouring temperature fields in mountainous terrain. In attempting to extend this method to the more complex terrain on the prototype, federal, oil shale leaseholds it was found that 1) it is difficult to find climatically homogeneous regions with enough climatic stations for meaningful analyses; 2) the method of contouring a height field in terms of a temperature statistic could be generalized to include cases where second-order statistical models are required; and 3) denser data networks increase the probability of finding climatically homogeneous regions?an advantage which outweighs, at least in this region, the usual disadvantages of increased resolution.
    publisherAmerican Meteorological Society
    titleComments on “Use of Mesoscale Climatology in Mountainous Terrain to Improve the Spatial Representation of Mean Monthly Temperatures”
    typeJournal Paper
    journal volume107
    journal issue3
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1979)107<0352:COOMCI>2.0.CO;2
    journal fristpage352
    journal lastpage353
    treeMonthly Weather Review:;1979:;volume( 107 ):;issue: 003
    contenttypeFulltext
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