parameter estimation and automatic calibration
- optuna: for optimization
- modelskill: for evaluation of model skill
- mikeio: for altering roughness map and pfs
dependencies are included in the autocalibration environment.
- data: folder where model data and observations to calibrate to reside.
- Example_Corner: data for simple test case from MIKE FM HD examples "BedResistance". Added
- notebooks: folder with jupyter notebooks
- example_corner: simple test case for FM HD where bed resistance map with two zones is modified
- run simulation with "base" roughness
- evaluate model vs. observation (modelskill)
- objective: optimize water level at two points
- metric: RMSE, CC
- adjust roughness map (mikeio)
- read template roughness map
- identify zones based on values in template
- alter roughness in zones
- start from beginning with altered roughness map and repeat