The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset

Georgy Ayzel, Maik Heistermann. The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset. Computers & Geosciences, 149:104708, 2021. [doi]

@article{AyzelH21,
  title = {The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset},
  author = {Georgy Ayzel and Maik Heistermann},
  year = {2021},
  doi = {10.1016/j.cageo.2021.104708},
  url = {https://doi.org/10.1016/j.cageo.2021.104708},
  researchr = {https://researchr.org/publication/AyzelH21},
  cites = {0},
  citedby = {0},
  journal = {Computers & Geosciences},
  volume = {149},
  pages = {104708},
}