HydroMT should be able to generate FEWS configuration to ease the integration of a model into FEWS. To leverage OpenDA functions for data assimilation and calibration, we should also include a method to add configuration for coupling to OpenDA.
Use case
Data assimilation in forecasting systems
Reanalysis in desk studies
Calibration in desk studies
ALL made easier with FEWS
Additional Context
Not aware of how (much) HydroMT currently can deliver on standard FEWS configuration; are we ready for this addition?
For the Python Wflow, we already made Python scripts to generate FEWS and OpenDA configuration to allow running clipped Wflow models with data assimilation within FEWS
Kind of request
None
Enhancement Description
HydroMT should be able to generate FEWS configuration to ease the integration of a model into FEWS. To leverage OpenDA functions for data assimilation and calibration, we should also include a method to add configuration for coupling to OpenDA.
Use case
Data assimilation in forecasting systems Reanalysis in desk studies Calibration in desk studies ALL made easier with FEWS
Additional Context
Not aware of how (much) HydroMT currently can deliver on standard FEWS configuration; are we ready for this addition? For the Python Wflow, we already made Python scripts to generate FEWS and OpenDA configuration to allow running clipped Wflow models with data assimilation within FEWS