https://github.com/landscapegeoinformatics/flow_swat_ml_paper

https://github.com/landscapegeoinformatics/flow_swat_ml_paper

Last synced: about 16 hours ago
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• Host: GitHub
• URL: https://github.com/landscapegeoinformatics/flow_swat_ml_paper
• Owner: LandscapeGeoinformatics
• License: mit
• Created: 2024-03-20T11:04:00.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-01T12:42:04.000Z (over 1 year ago)
• Last Synced: 2025-02-28T12:47:10.104Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 4.36 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Streamflow Prediction: Comparison of SWAT vs. Random Forest Models in Diverse Catchments

This repository includes the Python scripts and Jupyter notebooks used in the study _Streamflow Prediction: Comparison of SWAT vs. Random Forest Models in Diverse Catchments_.

Link to corresponding Zenodo repository:

[![DOI](https://zenodo.org/badge/774876590.svg)](https://zenodo.org/doi/10.5281/zenodo.11064973)

Contributions from the following authors from [Landscape Geoinformatics Lab](https://landscape-geoinformatics.ut.ee/):

- Desalew Meseret Moges 

- Holger Virro 

- Alexander Kmoch 

- Evelyn Uuemaa