We simulate snow conditions over Alaska using the Variable Infiltration Capacity (VIC) hydrologic process model at ½ degree spatial resolution for Fall and Spring seasons of September 1999 through May 2001, and compare the simulations with backscatter measurements from the Ku-band SeaWinds scatterometer. Model-predicted hourly snow surface temperature and snow liquid water content are correlated with snow melt and the corresponding backscatter response during some selected events. At selected sites, the time series trend of daily average backscatter during periods of snow melt loosely relates to occurrences of daytime temperature exceedances of 0o C. While diurnal variation in backscatter corresponds to melt and re-freeze processes, the early AM and mid PM QuikSCAT overpass times are not consistently optimal for identification of subtle melt signals, which usually occur in mid-afternoon. The scatterometer data are capable of detecting broad scale seasonal freeze-melt transitions, however challenges remain in extracting the sub-daily information that is critical for hydrologic updating of shorter term freeze-thaw excursions across complex landscapes from scatterometer observations.
This work was performed at the University of Washington and at the Jet Propulsion Laboratory, California Institute of Technology, under contract to the National Aeronautics and Space Administration.
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