TY - JOUR ID - 59322 TI - Simulation of the snow depth using Single Layer Snow Model (SLSM) at Saghez station JO - Iranian Journal of Soil and Water Research JA - IJSWR LA - en SN - 2008-479X AU - Khoshkhoo, Younes AD - University of Kurdistan Y1 - 2016 PY - 2016 VL - 47 IS - 3 SP - 517 EP - 527 KW - SLSM Model KW - GLUE method KW - Snow depth KW - Saghez Station DO - 10.22059/ijswr.2016.59322 N2 - 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. UR - https://ijswr.ut.ac.ir/article_59322.html L1 - https://ijswr.ut.ac.ir/article_59322_78df17e6324bf3d2efa64b202eb774cb.pdf ER -