To evaluate the capacity of ecLand-CaMa-Flood to simulate major floods a set of jupyter notebooks is prepared:

The following 5 python scripts allow to:

  1. Visualize the Flood Event (3arcmin from CMF, give a flood_case name and define an area)
    • /home/pad/Notebooks/Inundation-Forecast.ipynb
  2. Extract Sentinel-1 EO data (20m from GFM. 375m from VIIRS, use the same flood_case name and area )
    • /home/pad/Notebooks/Extract_GFM_Inundation.ipynb
      • Conda environment yaml neeeded for GFM : /home/mocb/gfm_env.yaml
    • /home/pad/Notebooks/Extract_VIIRS_Inundation.ipynb
  3. Benchmark the CMF Model with GFM and with VIIRS Observations (use the same flood_case name)
    • /home/pad/Notebooks/Bench_CMF_GFM_Inundation.ipynb
    • /home/pad/Notebooks/Bench_CMF_VIIRS_Inundation.ipynb

The framework for CMF benchmarking is provided in https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024MS004379.

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