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Mark Raleigh
Oregon State UniversityMeeting roles in:
Evaluating A New Approach For Streamflow Estimation Using Remotely Sensed Snowmelt Area
Influence of Snowpack Pattern Repeatability on Streamflow Forecast Skill
Integrating NASA observations to provide snowpack and streamflow information tailored for Colorado water managers
Applying LSTM Networks to Estimate Hydrographs in Ungauged Intermittent Streams in the Pacific Northwest
Snow Today: Scalable Characterization of Snow for Use in Water Supply Forecasting and Management
Less is more: Strategic snowpack observations outperform basin-wide mapping for water supply predictions across the western U.S.
Modeling of the Cryosphere: Seasonal Snow I Oral
High-Resolution Downscaling and Uncertainty Estimation of Snow Depth Using Lidar-Informed Machine Learning
Modeling of the Cryosphere: Seasonal Snow II Poster
Assessing How Snow Data Assimilation And Model Complexity Influence Estimation Of Snowpack Liquid Water Content
From snapshots to time-series: filling spatial and temporal gaps between lidar surveys with machine learning and Snotel
Assessing Seasonal Snow Melt Controls in Colder versus Warmer Forested Basins using Lidar and Machine Learning
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