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Katherine Dagon
NSF National Center for Atmospheric ResearchMeeting roles in:
Diagnosing Parametric Controls on CLM Ecohydrology Using Machine Learning Emulators
Scalable, Uncertainty-Aware Streamflow Prediction in Snow-Dominated Catchments Using Evidential Deep Learning and CLM5 Ensembles
Investigating Snowpack-Shrub Interactions in the Arctic Tundra using Machine Learning and Process Models
Leveraging Machine Learning and MCMC to Optimize Community Land Model Parameters for Accurate Gross Primary Productivity Estimates
Observed and modeled amplification of the frequency, duration, and extreme heat impacts of the Pacific trough regime
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