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Information Journal Paper

Title

Simulation of the snow depth using Single Layer Snow Model (SLSM) at Saghez station

Pages

  517-527

Abstract

 The aim of this study is the calibration and validation of the physical-empirical SLSM Model for simulation of the Snow depth in the Saghez synoptic station. For this purpose, essential daily meteorological data of the model for the time period of 1992-2014 were prepared from the Iranian Meteorological Organization and by applying the Generalized Likelihood Uncertainty Estimation (GLUE) method, that performed by considering 15 parameters and performing 15000 simulations and using both Coefficient of Determination and Nash-Sutcliffe Efficiency indices for evaluating the accuracy of the model, Calibration and validation of the model were performed for the 1992-2009 and 2010-2014 time periods, respectively. Calibration process of the model was led to extracting 108 behavioral simulations and for performing validation of the model, the median of the 108 behavioral simulations was considered as the final output of the model and compared with the measured Snow depth data. The results of the model validation showed that in most of the cases, the calibrated SLSM Model has an acceptable efficiency to following the fluctuations of the measured Snow depth data but it partly underestimates high values of the Snow depth.

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    APA: Copy

    Khoshkhoo, Younes. (2016). Simulation of the snow depth using Single Layer Snow Model (SLSM) at Saghez station. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 47(3 ), 517-527. SID. https://sid.ir/paper/225941/en

    Vancouver: Copy

    Khoshkhoo Younes. Simulation of the snow depth using Single Layer Snow Model (SLSM) at Saghez station. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2016;47(3 ):517-527. Available from: https://sid.ir/paper/225941/en

    IEEE: Copy

    Younes Khoshkhoo, “ Simulation of the snow depth using Single Layer Snow Model (SLSM) at Saghez station,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 47, no. 3 , pp. 517–527, 2016, [Online]. Available: https://sid.ir/paper/225941/en

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