Publications
Displaying Items 1 - 4 of 4
2022
- (2022). Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development. Journal of Hydrometeorology, 23 (3), 351-375.
- (2022). A Novel Machine Learning–Based Gap-Filling of Fine-Resolution Remotely Sensed Snow Cover Fraction Data by Combining Downscaling and Regression. Journal of Hydrometeorology, 23 (5), 637-658.
2021
- (2021). Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling. The Cryosphere, 15 (2), 771-791.
2010
- (2010). Development and validation of a cloud-gap filled MODIS daily snow-cover product. Remote Sensing of Environment, 114, 496-503. 10.1016/j.rse.2009.10.007.