YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology and Climatology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology and Climatology
    • 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

    Evaluating Soil Water Content in a WRF-Noah Downscaling Experiment

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 052 ):;issue: 010::page 2312
    Author:
    Greve, Peter
    ,
    Warrach-Sagi, Kirsten
    ,
    Wulfmeyer, Volker
    DOI: 10.1175/JAMC-D-12-0239.1
    Publisher: American Meteorological Society
    Abstract: oil water content (SWC) depends on and affects the energy flux partitioning at the land?atmosphere interface. Above all, the latent heat flux is limited by the SWC of the root zone on one hand and radiation on the other. Therefore, SWC is a key variable in the climate system. In this study, the performance of the Weather Research and Forecasting model coupled with the Noah land surface model (WRF-Noah) system in a climate hindcast simulation from 1990 to 2008 is evaluated with respect to SWC versus two reanalysis datasets for Europe during 2007 and 2008 with in situ soil moisture observations from southern France. When compared with the in situ observations, WRF-Noah generally reproduces the SWC annual cycle while the reanalysis SWCs do not. The biases in areal mean WRF-Noah SWCs relate to biases in precipitation and evapotranspiration in a cropland environment. The spatial patterns and temporal variability of the seasonal mean SWCs from the WRF-Noah simulations and from the two reanalyses correspond well, while absolute values differ significantly, especially at the regional scale.
    • Download: (8.868Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Evaluating Soil Water Content in a WRF-Noah Downscaling Experiment

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4217023
    Collections
    • Journal of Applied Meteorology and Climatology

    Show full item record

    contributor authorGreve, Peter
    contributor authorWarrach-Sagi, Kirsten
    contributor authorWulfmeyer, Volker
    date accessioned2017-06-09T16:49:23Z
    date available2017-06-09T16:49:23Z
    date copyright2013/10/01
    date issued2013
    identifier issn1558-8424
    identifier otherams-74762.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217023
    description abstractoil water content (SWC) depends on and affects the energy flux partitioning at the land?atmosphere interface. Above all, the latent heat flux is limited by the SWC of the root zone on one hand and radiation on the other. Therefore, SWC is a key variable in the climate system. In this study, the performance of the Weather Research and Forecasting model coupled with the Noah land surface model (WRF-Noah) system in a climate hindcast simulation from 1990 to 2008 is evaluated with respect to SWC versus two reanalysis datasets for Europe during 2007 and 2008 with in situ soil moisture observations from southern France. When compared with the in situ observations, WRF-Noah generally reproduces the SWC annual cycle while the reanalysis SWCs do not. The biases in areal mean WRF-Noah SWCs relate to biases in precipitation and evapotranspiration in a cropland environment. The spatial patterns and temporal variability of the seasonal mean SWCs from the WRF-Noah simulations and from the two reanalyses correspond well, while absolute values differ significantly, especially at the regional scale.
    publisherAmerican Meteorological Society
    titleEvaluating Soil Water Content in a WRF-Noah Downscaling Experiment
    typeJournal Paper
    journal volume52
    journal issue10
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-12-0239.1
    journal fristpage2312
    journal lastpage2327
    treeJournal of Applied Meteorology and Climatology:;2013:;volume( 052 ):;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