Data-driven streamflow modelling in ungauged basins: regionalizing random forest (RF) models
A. Araza, L. Hein, C. Duku, M. A. Rawlins, R. Lomboy
This study regionalizes random forest streamflow models across 21 Luzon watersheds using clustering methods, finding that PCA-based clustering improves model performance in ungauged basins.
bioRxiv · Nov 14, 2020 · PreprintEcology