YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Atmospheric and Oceanic Technology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Atmospheric and Oceanic Technology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Air Temperature Comparison between the MMTS and the USCRN Temperature Systems

    Source: Journal of Atmospheric and Oceanic Technology:;2004:;volume( 021 ):;issue: 010::page 1590
    Author:
    Hubbard, K. G.
    ,
    Lin, X.
    ,
    Baker, C. B.
    ,
    Sun, B.
    DOI: 10.1175/1520-0426(2004)021<1590:ATCBTM>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A new U.S. Climate Reference Network (USCRN) was officially and nationally commissioned by the Department of Commerce and the National Oceanic and Atmospheric Administration in 2004. During a 1-yr side-by-side field comparison of USCRN temperatures and temperatures measured by a maximum?minimum temperature system (MMTS), analyses of hourly data show that the MMTS temperature performed with biases: 1) a systematic bias?ambient-temperature-dependent bias and 2) an ambient-solar-radiation- and ambient-wind-speed-dependent bias. Magnitudes of these two biases ranged from a few tenths of a degree to over 1°C compared to the USCRN temperatures. The hourly average temperatures for the USCRN were the dependent variables in the development of two statistical models that remove the biases due to ambient temperature, ambient solar radiation, and ambient wind speed in the MMTS. The model performance was examined, and the results show that the adjusted MMTS data were substantially improved with respect to both systematic bias and the bias associated with ambient solar radiation and ambient wind speed. In addition, the results indicate that the historical temperature datasets prior to the MMTS era need to be further investigated to produce long-term homogenous times series of area-average temperature.
    • Download: (715.3Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Air Temperature Comparison between the MMTS and the USCRN Temperature Systems

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4160345
    Collections
    • Journal of Atmospheric and Oceanic Technology

    Show full item record

    contributor authorHubbard, K. G.
    contributor authorLin, X.
    contributor authorBaker, C. B.
    contributor authorSun, B.
    date accessioned2017-06-09T14:39:23Z
    date available2017-06-09T14:39:23Z
    date copyright2004/10/01
    date issued2004
    identifier issn0739-0572
    identifier otherams-2375.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4160345
    description abstractA new U.S. Climate Reference Network (USCRN) was officially and nationally commissioned by the Department of Commerce and the National Oceanic and Atmospheric Administration in 2004. During a 1-yr side-by-side field comparison of USCRN temperatures and temperatures measured by a maximum?minimum temperature system (MMTS), analyses of hourly data show that the MMTS temperature performed with biases: 1) a systematic bias?ambient-temperature-dependent bias and 2) an ambient-solar-radiation- and ambient-wind-speed-dependent bias. Magnitudes of these two biases ranged from a few tenths of a degree to over 1°C compared to the USCRN temperatures. The hourly average temperatures for the USCRN were the dependent variables in the development of two statistical models that remove the biases due to ambient temperature, ambient solar radiation, and ambient wind speed in the MMTS. The model performance was examined, and the results show that the adjusted MMTS data were substantially improved with respect to both systematic bias and the bias associated with ambient solar radiation and ambient wind speed. In addition, the results indicate that the historical temperature datasets prior to the MMTS era need to be further investigated to produce long-term homogenous times series of area-average temperature.
    publisherAmerican Meteorological Society
    titleAir Temperature Comparison between the MMTS and the USCRN Temperature Systems
    typeJournal Paper
    journal volume21
    journal issue10
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(2004)021<1590:ATCBTM>2.0.CO;2
    journal fristpage1590
    journal lastpage1597
    treeJournal of Atmospheric and Oceanic Technology:;2004:;volume( 021 ):;issue: 010
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian