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.
Creative Commons Zero v1.0 Universal
0
stars
4
forks
source link
Compare cluster results using overlapping and non-overlapping event definitions #162
Create targets that do cluster analysis of flow metrics for non-overlapping event definitions (flow metrics computed in #160).
Evaluate cluster results for individual quantiles, and see if aggregation of quantiles is important
If yes, evaluate aggregation based on: 1. current method (4 metrics x 4 seasons x 5 quantiles = 80 columns), 2. computing metrics for the range to be aggregated (e.g., 50-70, 75-95) (4 metrics x 4 seasons x 1 quantile range = 16 columns). Flow metrics for example ranges are computed in #160, see this target
Create targets that do cluster analysis of flow metrics for non-overlapping event definitions (flow metrics computed in #160).