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Prediction of snow water equivalent from remote sensing and a land surface model |
Collaborators on this project include Marc Stieglitz and Judith Curry (Georgia Tech.), Dorothy Hall (NASA), and Nicole Smith (Harvard). |
For creation of the PASR product, snow depth observations were used with the NSIPP model to reconstruct how much snow must have fallen to create the observed snow depth. In a similar manner, snow water equivalent available for spring runoff can be predicted by assimilating measurements of snow cover and other remote sensing observations into the NSIPP catchment-based land surface model. This project is in the development phase where various data assimilation methods are being tested against ground-based measurements in Alaska. |