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.
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Use probability of reach being in a region within flow metric prediction models #170
For model training within different regions, gages should be weighted by the probability that they belong within that region.
Then, the final prediction for each site should be a weighted combination of the models trained in each region for which the reach has > 0 probability.
For model training within different regions, gages should be weighted by the probability that they belong within that region.
Then, the final prediction for each site should be a weighted combination of the models trained in each region for which the reach has > 0 probability.