Retrieval of snow water equivalent for water resources management in Kerman using satellite microwave data by artificial neural networks and multiple regression techniques

Introduction Snow cover represents the amount of stored and the water from melting snow play an important role in the formation of surface water and groundwater in country watersheds. Detection and determination of snow and ice different characteristics by using remote sensing data, which is widely used in hydrology, created new approaches in acquiring needed parameters in Hydrology.Results of research shows that the observations of the guesser have high potential for detection of snowcover and the use of its data is suggested for calculation of water of snow equivalent in the areas such as Kerman Province which faced with the limitation of ground stations.
Materials & Methods Since this area is the ability to have snow in winter so the data about water equivalent to snow in this area is necessary for many applications such as hydrology, meteorology, climatology and also producing hydroelectric and flood estimation. In this study, using brightness temperature from the Advanced Microwave Sounding Unit-A (AMSU-A), on board the NOAA satellites and the artificial neural networks as well as multiple regression techniques, the snow water equivalent forthe catchment basins of Tehran in the winter during a 10-year period (2015-2006) has been calculated and verified. In total, data from 5 monitoring stations of snow for 104 days during the study period was used for retrieval and verification.
Results & Discussion Based on the results, which we found, the best estimate is relate to the winter of the artificial neural networks to the regression method with RMSE=0/05, MSE=0/11, Bias= 0/0006 and r=0/14.The results indicate the superiority of the artificial neural networks to the regression method.
Conclusion This results also show the observations of this sounding has the high potential for indicating the coverage of snow which are useful information and it is suggested to calculate snow water equivalent in the regions like kerman where has limited ground stations of snow measurement.