Also adds support for the GLCNMO land use dataset. This dataset is used for (global) models to identify regions where rice/paddy fields are located. Adding support for this dataset ensures more consistent model building.
Explanation
LULC parameters are based on existing tables. Alpha_h1 values are set to zero for all crops (not-natural vegetation), and set to 1 for all natural vegetation, based on the idea that natural vegetation is adapted to the local conditions and can deal with saturated conditions, while crops are likely not able to handle those conditions.
Checklist
[x] Updated tests or added new tests
[x] Branch is up to date with main
[x] Tests & pre-commit hooks pass
[x] Updated documentation if needed
[x] Update default models (staticmaps) with new alpha_h1 layer
[x] Update default models (toml) with new alpha_h1 layer
Additional Notes (optional)
Add any additional notes or information that may be helpful.
Issue addressed
No issue, but fixes the last bullet in https://github.com/Deltares/hydromt_wflow/pull/226#issuecomment-2098170055
Also adds support for the GLCNMO land use dataset. This dataset is used for (global) models to identify regions where rice/paddy fields are located. Adding support for this dataset ensures more consistent model building.
Explanation
LULC parameters are based on existing tables. Alpha_h1 values are set to zero for all crops (not-natural vegetation), and set to 1 for all natural vegetation, based on the idea that natural vegetation is adapted to the local conditions and can deal with saturated conditions, while crops are likely not able to handle those conditions.
Checklist
mainAdditional Notes (optional)
Add any additional notes or information that may be helpful.