Skip to content

Latest commit

 

History

History
9 lines (7 loc) · 653 Bytes

README.md

File metadata and controls

9 lines (7 loc) · 653 Bytes
Raw

Analyzing the generalization capabilities of hybrid hydrological models for extrapolation to extreme events.

Code accompanying the publication: Analyzing the generalization capabilities of hybrid hydrological models for extrapolation to extreme events.

Structure of the repository:

  • experiments: Folder with the files to run the different experiments
  • Hy2DL: Codes to calibrate the conceptual models
  • neuralhydrology: Deep learning library (https://github.com/neuralhydrology/neuralhydrology) used to run the LSTM and Hybrid models
  • results: Code to analyse the results and create the figures presented in the publication.