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.