Practical Glass-Box Machine Learning for Seasonal Water Supply Forecasting, with Applications to the Owyhee and Yellowstone Rivers: Regression Using Climate Indices Derived from SNOTEL Data Using Nonnegative Matrix Factorization with k-Means Clustering

Fleming, Sean

Practical Glass-Box Machine Learning for Seasonal Water Supply Forecasting, with Applications to the Owyhee and Yellowstone Rivers: Regression Using Climate Indices Derived from SNOTEL Data Using Nonnegative Matrix Factorization with k-Means Clustering

Sean William Fleming, Oregon State University, Corvallis, OR, United States; US Department of Agriculture, Corvallis, United States, Velimir monty V Vesselinov, Los Alamos National Laboratory, Los Alamos, United States and Angus Graham Goodbody, Natural Resource Conservation Service, Portland, United States