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    White Christmas? An Application of NOAA’s 1981–2010 Daily Normals

    Source: Bulletin of the American Meteorological Society:;2015:;volume( 096 ):;issue: 011::page 1853
    Author:
    Durre, Imke
    ,
    Squires, Michael F.
    DOI: 10.1175/BAMS-D-15-00038.1
    Publisher: American Meteorological Society
    Abstract: re we going to have a white Christmas? That is a question that scientists at the National Oceanic and Atmospheric Administration (NOAA) receive each autumn from members of the media and general public. NOAA personnel typically respond by way of a press release and map depicting the climatological probability of observing snow on the ground on 25 December at stations across the contiguous United States. This map has become one of the most popular applications of NOAA?s 1981?2010 U.S. Climate Normals.The purpose of this paper is to expand upon the annual press release in two ways. First, the methodology for empirically calculating the probabilities of snow on the ground is documented. Second, additional maps describing the median snow depth on 25 December as well as the probability and amount of snowfall are presented. The results are consistent with a climatologist?s intuitive expectations. In the Sierras, Cascades, the leeward side of the Great Lakes, and northern New England, snow cover is a near certainty. In these regions, most precipitation falls as snow, and the probability of snowfall can exceed 25%. At higher elevations of the Rocky Mountains and at many locations between the northern Rockies and New England, snowfall is considerably less frequent on Christmas Day, yet the probability of snow on the ground exceeds 50%. For those who would like to escape the snow, the best places to be in late December are in Southern California, the lower elevations of the Southwest, and Florida.
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      White Christmas? An Application of NOAA’s 1981–2010 Daily Normals

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    contributor authorDurre, Imke
    contributor authorSquires, Michael F.
    date accessioned2017-06-09T16:45:52Z
    date available2017-06-09T16:45:52Z
    date copyright2015/11/01
    date issued2015
    identifier issn0003-0007
    identifier otherams-73676.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215816
    description abstractre we going to have a white Christmas? That is a question that scientists at the National Oceanic and Atmospheric Administration (NOAA) receive each autumn from members of the media and general public. NOAA personnel typically respond by way of a press release and map depicting the climatological probability of observing snow on the ground on 25 December at stations across the contiguous United States. This map has become one of the most popular applications of NOAA?s 1981?2010 U.S. Climate Normals.The purpose of this paper is to expand upon the annual press release in two ways. First, the methodology for empirically calculating the probabilities of snow on the ground is documented. Second, additional maps describing the median snow depth on 25 December as well as the probability and amount of snowfall are presented. The results are consistent with a climatologist?s intuitive expectations. In the Sierras, Cascades, the leeward side of the Great Lakes, and northern New England, snow cover is a near certainty. In these regions, most precipitation falls as snow, and the probability of snowfall can exceed 25%. At higher elevations of the Rocky Mountains and at many locations between the northern Rockies and New England, snowfall is considerably less frequent on Christmas Day, yet the probability of snow on the ground exceeds 50%. For those who would like to escape the snow, the best places to be in late December are in Southern California, the lower elevations of the Southwest, and Florida.
    publisherAmerican Meteorological Society
    titleWhite Christmas? An Application of NOAA’s 1981–2010 Daily Normals
    typeJournal Paper
    journal volume96
    journal issue11
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-15-00038.1
    journal fristpage1853
    journal lastpage1858
    treeBulletin of the American Meteorological Society:;2015:;volume( 096 ):;issue: 011
    contenttypeFulltext
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