YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Climate
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Climate
    • 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

    Assessment of Regional Global Climate Model Water Vapor Bias and Trends Using Precipitable Water Vapor (PWV) Observations from a Network of Global Positioning Satellite (GPS) Receivers in the U.S. Great Plains and Midwest

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 016::page 5471
    Author:
    Roman, Jacola A.
    ,
    Knuteson, Robert O.
    ,
    Ackerman, Steven A.
    ,
    Tobin, David C.
    ,
    Revercomb, Henry E.
    DOI: 10.1175/JCLI-D-11-00570.1
    Publisher: American Meteorological Society
    Abstract: recipitable water vapor (PWV) observations from the National Center of Atmospheric Research (NCAR) SuomiNet networks of ground-based global positioning system (GPS) receivers and the National Oceanic and Atmospheric Administration (NOAA) Profiler Network (NPN) are used in the regional assessment of global climate models. Study regions in the U.S. Great Plains and Midwest highlight the differences among global climate model output from the Fourth Assessment Report (AR4) Special Report on Emissions Scenarios (SRES) A2 scenario in their seasonal representation of column water vapor and the vertical distribution of moisture. In particular, the Community Climate System model, version 3 (CCSM3) is shown to exhibit a dry bias of over 30% in the summertime water vapor column, while the Goddard Institute for Space Studies Model E20 (GISS E20) agrees well with PWV observations. A detailed assessment of vertical profiles of temperature, relative humidity, and specific humidity confirm that only GISS E20 was able to represent the summertime specific humidity profile in the atmospheric boundary layer (<3%) and thus the correct total column water vapor. All models show good agreement in the winter season for the region. Regional trends using station-elevation-corrected GPS PWV data from two complimentary networks are found to be consistent with null trends predicted in the AR4 A2 scenario model output for the period 2000?09. The time to detect (TTD) a 0.05 mm yr?1 PWV trend, as predicted in the A2 scenario for the period 2000?2100, is shown to be 25?30 yr with 95% confidence in the Oklahoma?Kansas region.
    • Download: (4.140Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Assessment of Regional Global Climate Model Water Vapor Bias and Trends Using Precipitable Water Vapor (PWV) Observations from a Network of Global Positioning Satellite (GPS) Receivers in the U.S. Great Plains and Midwest

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4221971
    Collections
    • Journal of Climate

    Show full item record

    contributor authorRoman, Jacola A.
    contributor authorKnuteson, Robert O.
    contributor authorAckerman, Steven A.
    contributor authorTobin, David C.
    contributor authorRevercomb, Henry E.
    date accessioned2017-06-09T17:05:25Z
    date available2017-06-09T17:05:25Z
    date copyright2012/08/01
    date issued2012
    identifier issn0894-8755
    identifier otherams-79215.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4221971
    description abstractrecipitable water vapor (PWV) observations from the National Center of Atmospheric Research (NCAR) SuomiNet networks of ground-based global positioning system (GPS) receivers and the National Oceanic and Atmospheric Administration (NOAA) Profiler Network (NPN) are used in the regional assessment of global climate models. Study regions in the U.S. Great Plains and Midwest highlight the differences among global climate model output from the Fourth Assessment Report (AR4) Special Report on Emissions Scenarios (SRES) A2 scenario in their seasonal representation of column water vapor and the vertical distribution of moisture. In particular, the Community Climate System model, version 3 (CCSM3) is shown to exhibit a dry bias of over 30% in the summertime water vapor column, while the Goddard Institute for Space Studies Model E20 (GISS E20) agrees well with PWV observations. A detailed assessment of vertical profiles of temperature, relative humidity, and specific humidity confirm that only GISS E20 was able to represent the summertime specific humidity profile in the atmospheric boundary layer (<3%) and thus the correct total column water vapor. All models show good agreement in the winter season for the region. Regional trends using station-elevation-corrected GPS PWV data from two complimentary networks are found to be consistent with null trends predicted in the AR4 A2 scenario model output for the period 2000?09. The time to detect (TTD) a 0.05 mm yr?1 PWV trend, as predicted in the A2 scenario for the period 2000?2100, is shown to be 25?30 yr with 95% confidence in the Oklahoma?Kansas region.
    publisherAmerican Meteorological Society
    titleAssessment of Regional Global Climate Model Water Vapor Bias and Trends Using Precipitable Water Vapor (PWV) Observations from a Network of Global Positioning Satellite (GPS) Receivers in the U.S. Great Plains and Midwest
    typeJournal Paper
    journal volume25
    journal issue16
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-11-00570.1
    journal fristpage5471
    journal lastpage5493
    treeJournal of Climate:;2012:;volume( 025 ):;issue: 016
    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