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Dane Liljestrand
University of UtahMeeting roles in:
Advancing Proglacial Soil Moisture Prediction in the Arctic Using LSTM Networks
Integrating Diverse Meteorological Inputs for Machine Learning-Based SWE Estimation in Complex Catchments
Benchmarking the Accuracy of Existing Gridded SWE Datasets and Their Relative Value for Seasonal Runoff Prediction
Leveraging Snow-Probe Measurements, LiDAR, and Machine Learning for Modeling Snow Distribution in Complex Terrain
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