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    Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model

    Source: Journal of Hydrometeorology:;2015:;Volume( 017 ):;issue: 002::page 571
    Author:
    Thorstensen, Andrea
    ,
    Nguyen, Phu
    ,
    Hsu, Kuolin
    ,
    Sorooshian, Soroosh
    DOI: 10.1175/JHM-D-15-0071.1
    Publisher: American Meteorological Society
    Abstract: alibration is a crucial step in hydrologic modeling that is typically handled by tuning parameters to match an observed hydrograph. In this research, an alternative calibration scheme based on soil moisture was investigated as a means of identifying the potentially heterogeneous calibration needs of a distributed hydrologic model. The National Weather Service?s (NWS) Hydrology Laboratory Research Distributed Hydrologic Model (HL-RDHM) was employed to carry out such a calibration, along with concentrated in situ soil moisture observations from the Iowa Flood Studies (IFloodS) field campaign in Iowa?s Turkey River basin. Synthetic, single-pixel experiments were conducted in order to identify parameters relevant to soil moisture dynamics and to test the ability of three calibration procedures (discharge, soil moisture, and hybrid based) to recapture prescribed parameter sets. It was found that three storage parameters of HL-RDHM could be consistently identified using soil moisture RMSE as the objective function and that the addition of discharge-based calibration led to more consistent parameter identification for all 11 storage and release parameters. Expanding to full-basin experiments, these three calibration procedures were applied following an investigation to find the most advantageous method of distributing the point-based calibrations carried out at each pixel collocated with an IFloodS observation site. A method based on pixel similarity was deemed most appropriate for this purpose. Additionally, streamflow simulations calibrated with soil moisture showed improvement in RMSE and Nash?Sutcliffe efficiency (NSE) for all calibration?validation events despite a short calibration period, a promising result when considering calibration of ungauged basins. However, supplementary evaluation metrics show mixed results for streamflow simulations, suggesting further investigation is required.
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      Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225365
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    contributor authorThorstensen, Andrea
    contributor authorNguyen, Phu
    contributor authorHsu, Kuolin
    contributor authorSorooshian, Soroosh
    date accessioned2017-06-09T17:16:36Z
    date available2017-06-09T17:16:36Z
    date copyright2016/02/01
    date issued2015
    identifier issn1525-755X
    identifier otherams-82270.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225365
    description abstractalibration is a crucial step in hydrologic modeling that is typically handled by tuning parameters to match an observed hydrograph. In this research, an alternative calibration scheme based on soil moisture was investigated as a means of identifying the potentially heterogeneous calibration needs of a distributed hydrologic model. The National Weather Service?s (NWS) Hydrology Laboratory Research Distributed Hydrologic Model (HL-RDHM) was employed to carry out such a calibration, along with concentrated in situ soil moisture observations from the Iowa Flood Studies (IFloodS) field campaign in Iowa?s Turkey River basin. Synthetic, single-pixel experiments were conducted in order to identify parameters relevant to soil moisture dynamics and to test the ability of three calibration procedures (discharge, soil moisture, and hybrid based) to recapture prescribed parameter sets. It was found that three storage parameters of HL-RDHM could be consistently identified using soil moisture RMSE as the objective function and that the addition of discharge-based calibration led to more consistent parameter identification for all 11 storage and release parameters. Expanding to full-basin experiments, these three calibration procedures were applied following an investigation to find the most advantageous method of distributing the point-based calibrations carried out at each pixel collocated with an IFloodS observation site. A method based on pixel similarity was deemed most appropriate for this purpose. Additionally, streamflow simulations calibrated with soil moisture showed improvement in RMSE and Nash?Sutcliffe efficiency (NSE) for all calibration?validation events despite a short calibration period, a promising result when considering calibration of ungauged basins. However, supplementary evaluation metrics show mixed results for streamflow simulations, suggesting further investigation is required.
    publisherAmerican Meteorological Society
    titleUsing Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model
    typeJournal Paper
    journal volume17
    journal issue2
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-15-0071.1
    journal fristpage571
    journal lastpage590
    treeJournal of Hydrometeorology:;2015:;Volume( 017 ):;issue: 002
    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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