Articles | Volume 23, issue 12
https://doi.org/10.5194/hess-23-5089-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets
Data sets
Pre-trained models https://doi.org/10.4211/hs.83ea5312635e44dc824eeb99eda12f06
Benchmark models https://doi.org/10.4211/hs.474ecc37e7db45baa425cdb4fc1b61e1
CAMELS extended Maurer forcings https://doi.org/10.4211/hs.17c896843cf940339c3c3496d0c1c077
Model code and software
Code to reproduce paper experiments/results https://doi.org/10.5281/zenodo.3530884