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    Evaluating Enhanced Hydrological Representations in Noah LSM over Transition Zones: Implications for Model Development

    Source: Journal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 003::page 600
    Author:
    Rosero, Enrique
    ,
    Yang, Zong-Liang
    ,
    Gulden, Lindsey E.
    ,
    Niu, Guo-Yue
    ,
    Gochis, David J.
    DOI: 10.1175/2009JHM1029.1
    Publisher: American Meteorological Society
    Abstract: The authors introduce and compare the performance of the unified Noah land surface model (LSM) and its augments with physically based, more conceptually realistic hydrologic parameterizations. Forty-five days of 30-min data collected over nine sites in transition zones are used to evaluate (i) their benchmark, the standard Noah LSM release 2.7 (STD); (ii) a version equipped with a short-term phenology module (DV); and (iii) one that couples a lumped, unconfined aquifer model to the model soil column (GW). Their model intercomparison, enhanced by multiobjective calibration and model sensitivity analysis, shows that, under the evaluation conditions, the current set of enhancements to Noah fails to yield significant improvement in the accuracy of simulated, high-frequency, warm-season turbulent fluxes, and near-surface states across these sites. Qualitatively, the versions of DV and GW implemented degrade model robustness, as defined by the sensitivity of model performance to uncertain parameters. Quantitatively, calibrated DV and GW show only slight improvement in the skill of the model over calibrated STD. Then, multiple model realizations are compared to explicitly account for parameter uncertainty. Model performance, robustness, and fitness are quantified for use across varied sites. The authors show that the least complex benchmark LSM (STD) remains as the most fit version of the model for broad application. Although GW typically performs best when simulating evaporative fraction (EF), 24-h change in soil wetness (?W30), and soil wetness, it is only about half as robust as STD, which also performs relatively well for all three criteria. GW?s superior performance results from bias correction, not from improved soil moisture dynamics. DV performs better than STD in simulating EF and ?W30 at the wettest site, because DV tends to enhance transpiration and canopy evaporation at the expense of direct soil evaporation. This same model structure limits performance at the driest site, where STD performs best. This dichotomous performance suggests that the formulations that determine the partitioning of LE flux need to be modified for broader applicability. Thus, this work poses a caveat for simple ?plug and play? of functional modules between LSMs and showcases the utility of rigorous testing during model development.
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      Evaluating Enhanced Hydrological Representations in Noah LSM over Transition Zones: Implications for Model Development

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4210617
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    • Journal of Hydrometeorology

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    contributor authorRosero, Enrique
    contributor authorYang, Zong-Liang
    contributor authorGulden, Lindsey E.
    contributor authorNiu, Guo-Yue
    contributor authorGochis, David J.
    date accessioned2017-06-09T16:30:05Z
    date available2017-06-09T16:30:05Z
    date copyright2009/06/01
    date issued2009
    identifier issn1525-755X
    identifier otherams-68998.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4210617
    description abstractThe authors introduce and compare the performance of the unified Noah land surface model (LSM) and its augments with physically based, more conceptually realistic hydrologic parameterizations. Forty-five days of 30-min data collected over nine sites in transition zones are used to evaluate (i) their benchmark, the standard Noah LSM release 2.7 (STD); (ii) a version equipped with a short-term phenology module (DV); and (iii) one that couples a lumped, unconfined aquifer model to the model soil column (GW). Their model intercomparison, enhanced by multiobjective calibration and model sensitivity analysis, shows that, under the evaluation conditions, the current set of enhancements to Noah fails to yield significant improvement in the accuracy of simulated, high-frequency, warm-season turbulent fluxes, and near-surface states across these sites. Qualitatively, the versions of DV and GW implemented degrade model robustness, as defined by the sensitivity of model performance to uncertain parameters. Quantitatively, calibrated DV and GW show only slight improvement in the skill of the model over calibrated STD. Then, multiple model realizations are compared to explicitly account for parameter uncertainty. Model performance, robustness, and fitness are quantified for use across varied sites. The authors show that the least complex benchmark LSM (STD) remains as the most fit version of the model for broad application. Although GW typically performs best when simulating evaporative fraction (EF), 24-h change in soil wetness (?W30), and soil wetness, it is only about half as robust as STD, which also performs relatively well for all three criteria. GW?s superior performance results from bias correction, not from improved soil moisture dynamics. DV performs better than STD in simulating EF and ?W30 at the wettest site, because DV tends to enhance transpiration and canopy evaporation at the expense of direct soil evaporation. This same model structure limits performance at the driest site, where STD performs best. This dichotomous performance suggests that the formulations that determine the partitioning of LE flux need to be modified for broader applicability. Thus, this work poses a caveat for simple ?plug and play? of functional modules between LSMs and showcases the utility of rigorous testing during model development.
    publisherAmerican Meteorological Society
    titleEvaluating Enhanced Hydrological Representations in Noah LSM over Transition Zones: Implications for Model Development
    typeJournal Paper
    journal volume10
    journal issue3
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/2009JHM1029.1
    journal fristpage600
    journal lastpage622
    treeJournal of Hydrometeorology:;2009:;Volume( 010 ):;issue: 003
    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
    yabeshDSpacePersian