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    Subscribers to the NOAA Monthly and Seasonal Weather Outlook

    Source: Bulletin of the American Meteorological Society:;1986:;volume( 067 ):;issue: 004::page 402
    Author:
    Easterling, William E.
    DOI: 10.1175/1520-0477(1986)067<0402:STTNMA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The identity and characteristics of users of existing climate predictions (monthly and seasonal) as inputs to decision making am described. Subscribers to the NOAA Climate Analysis Center's Monthly and Seasonal Weather Outlook (MSWO) are surveyed by questionnaire to identify their industry types, general levels of climate-information use, and geographic locations. Characteristics of subscribers who have indicated that they do use the predictions in decision making, as opposed to those who do not, are determined using stepwise discriminant analysis. It is found that agricultural activities represent the largest group of subscribers, whereas energy producers and distributors represent the largest group of systematic users of the climate predictions. Maps showing the distribution of the three leading categories of respondents (agriculture, energy, and government and education) are presented to show where certain types of subscribers are located and where they most often apply the predictions. The analysis suggests that subscriber/respondents' firm size, level of familiarity with atmospheric science, and judgments of the usefulness of predictions given current accuracies, lead time, and skill in anticipating extreme weather events had the most bearing on whether or not they use the MWSO in decision making. Moreover, the fact that the MSWO has essentially no load time was three times more important than any of the other parameters in discriminating between users and nonusers.
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      Subscribers to the NOAA Monthly and Seasonal Weather Outlook

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    contributor authorEasterling, William E.
    date accessioned2017-06-09T14:40:22Z
    date available2017-06-09T14:40:22Z
    date copyright1986/04/01
    date issued1986
    identifier issn0003-0007
    identifier otherams-24158.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4160799
    description abstractThe identity and characteristics of users of existing climate predictions (monthly and seasonal) as inputs to decision making am described. Subscribers to the NOAA Climate Analysis Center's Monthly and Seasonal Weather Outlook (MSWO) are surveyed by questionnaire to identify their industry types, general levels of climate-information use, and geographic locations. Characteristics of subscribers who have indicated that they do use the predictions in decision making, as opposed to those who do not, are determined using stepwise discriminant analysis. It is found that agricultural activities represent the largest group of subscribers, whereas energy producers and distributors represent the largest group of systematic users of the climate predictions. Maps showing the distribution of the three leading categories of respondents (agriculture, energy, and government and education) are presented to show where certain types of subscribers are located and where they most often apply the predictions. The analysis suggests that subscriber/respondents' firm size, level of familiarity with atmospheric science, and judgments of the usefulness of predictions given current accuracies, lead time, and skill in anticipating extreme weather events had the most bearing on whether or not they use the MWSO in decision making. Moreover, the fact that the MSWO has essentially no load time was three times more important than any of the other parameters in discriminating between users and nonusers.
    publisherAmerican Meteorological Society
    titleSubscribers to the NOAA Monthly and Seasonal Weather Outlook
    typeJournal Paper
    journal volume67
    journal issue4
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/1520-0477(1986)067<0402:STTNMA>2.0.CO;2
    journal fristpage402
    journal lastpage410
    treeBulletin of the American Meteorological Society:;1986:;volume( 067 ):;issue: 004
    contenttypeFulltext
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