عنوان مقاله English
نویسندگان English
Snow coefficient is the ratio of annual snowfall to annual precipitation. Usually lack of snow data or impassable stations in mountainous areas, oblige us to use from empirical models. Therefore, evaluation the accuracy and calibration of the models for the region is essential. Chandra’s model calculates snow coefficient parameter using temperature data. In this study, snow coefficient to the measured data and Chandra’s model in a monthly and annual scale, for 11 synoptic stations in a five-year statistical period of (2007 to 2011) were compared using the mean square error and average accuracy deviation error. The Model was calculated the temperature range for snow from 1.2 to 2.5 at each station and the temperature coefficient for each station was determined by tested models. There is lowest coefficient in Shahrekord, bridge Zaman Khan and Dezzak stations (2.1) and highest in Oregon. The results showed that the model based of regional coefficient could estimate the annual snow coeffistationcient with more accuracy.
کلیدواژهها English