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    Intercomparison of Spatially Distributed Models for Predicting Surface Energy Flux Patterns during SMACEX

    Source: Journal of Hydrometeorology:;2005:;Volume( 006 ):;issue: 006::page 941
    Author:
    Crow, Wade T.
    ,
    Li, Fuqin
    ,
    Kustas, William P.
    DOI: 10.1175/JHM468.1
    Publisher: American Meteorological Society
    Abstract: The treatment of aerodynamic surface temperature in soil?vegetation?atmosphere transfer (SVAT) models can be used to classify approaches into two broad categories. The first category contains models utilizing remote sensing (RS) observations of surface radiometric temperature to estimate aerodynamic surface temperature and solve the terrestrial energy balance. The second category contains combined water and energy balance (WEB) approaches that simultaneously solve for surface temperature and energy fluxes based on observations of incoming radiation, precipitation, and micrometeorological variables. To date, few studies have focused on cross comparing model predictions from each category. Land surface and remote sensing datasets collected during the 2002 Soil Moisture?Atmosphere Coupling Experiment (SMACEX) provide an opportunity to evaluate and intercompare spatially distributed surface energy balance models. Intercomparison results presented here focus on the ability of a WEB-SVAT approach [the TOPmodel-based Land?Atmosphere Transfer Scheme (TOPLATS)] and an RS-SVAT approach [the Two-Source Energy Balance (TSEB) model] to accurately predict patterns of turbulent energy fluxes observed during SMACEX. During the experiment, TOPLATS and TSEB latent heat flux predictions match flux tower observations with root-mean-square (rms) accuracies of 67 and 63 W m?2, respectively. TSEB predictions of sensible heat flux are significantly more accurate with an rms accuracy of 22 versus 46 W m?2 for TOPLATS. The intercomparison of flux predictions from each model suggests that modeling errors for each approach are sufficiently independent and that opportunities exist for improving the performance of both models via data assimilation and model calibration techniques that integrate RS- and WEB-SVAT energy flux predictions.
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      Intercomparison of Spatially Distributed Models for Predicting Surface Energy Flux Patterns during SMACEX

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4224482
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    contributor authorCrow, Wade T.
    contributor authorLi, Fuqin
    contributor authorKustas, William P.
    date accessioned2017-06-09T17:13:51Z
    date available2017-06-09T17:13:51Z
    date copyright2005/12/01
    date issued2005
    identifier issn1525-755X
    identifier otherams-81475.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224482
    description abstractThe treatment of aerodynamic surface temperature in soil?vegetation?atmosphere transfer (SVAT) models can be used to classify approaches into two broad categories. The first category contains models utilizing remote sensing (RS) observations of surface radiometric temperature to estimate aerodynamic surface temperature and solve the terrestrial energy balance. The second category contains combined water and energy balance (WEB) approaches that simultaneously solve for surface temperature and energy fluxes based on observations of incoming radiation, precipitation, and micrometeorological variables. To date, few studies have focused on cross comparing model predictions from each category. Land surface and remote sensing datasets collected during the 2002 Soil Moisture?Atmosphere Coupling Experiment (SMACEX) provide an opportunity to evaluate and intercompare spatially distributed surface energy balance models. Intercomparison results presented here focus on the ability of a WEB-SVAT approach [the TOPmodel-based Land?Atmosphere Transfer Scheme (TOPLATS)] and an RS-SVAT approach [the Two-Source Energy Balance (TSEB) model] to accurately predict patterns of turbulent energy fluxes observed during SMACEX. During the experiment, TOPLATS and TSEB latent heat flux predictions match flux tower observations with root-mean-square (rms) accuracies of 67 and 63 W m?2, respectively. TSEB predictions of sensible heat flux are significantly more accurate with an rms accuracy of 22 versus 46 W m?2 for TOPLATS. The intercomparison of flux predictions from each model suggests that modeling errors for each approach are sufficiently independent and that opportunities exist for improving the performance of both models via data assimilation and model calibration techniques that integrate RS- and WEB-SVAT energy flux predictions.
    publisherAmerican Meteorological Society
    titleIntercomparison of Spatially Distributed Models for Predicting Surface Energy Flux Patterns during SMACEX
    typeJournal Paper
    journal volume6
    journal issue6
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM468.1
    journal fristpage941
    journal lastpage953
    treeJournal of Hydrometeorology:;2005:;Volume( 006 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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