Spatial modelling of snow water equivalent using airborne and ground- based snow data
A US National Weather Service snow accumulation and ablation model that uses observed temperature and precipitation data to simulate snow cover conditions is examined. The simulated model states are updated throughout the snow season using snow water equivalent estimates obtained from airborne and ground-based snow water equivalent data. The National Weather Service has developed a spatial model to obtain integrated snow water equivalent estimates for updating the snow model; however, it is designed to incorporate only ground-based data. In this research, we describe the spatial model and show how to modify it to include data of two different supports (the airborne and ground-based data) so that more precise integrated snow water equivalent estimates can be obtained. The results are illustrated on snow data collected in the Upper Colorado River basin. -from Authors
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