Repo for machine learning models for regional prediction of hydrologic forcing functions. Includes probabilistic seasonal high flow regions for CONUS, and prediction of high flow metrics for selected regions.
Test with and without WB model variables - these variables provide process guidance and could include information from many other catchment attributes.
Test creating and using seasonal climate variables to remove high monthly correlations
Test using the cluster region as a feature. The cluster region would not be available for all sites, so this would only serve as a test on if it improves predictions. - Initial targets created in #110
Test a CONUS / multi-region model using the predicted probability of a gage being in a region. Applies to model training and testing sets.