Tutorials

Work through these examples after the Quick Start.

• Multi-basin calibration: independent catchment fits or a shared parameter vector, with process-level parallelism.

• Examples and reports: observed records, reproducible scripts, hydrographs, multi-start fitting and parameter-scenario ensembles.

• One-call experiment: fit, training-only sensitivity analysis and report export in one Python call.

Parameter-scenario ensembles describe the supplied scenarios. They are not posterior uncertainty estimates or a substitute for sensitivity analysis.

• Multi-basin workflows
  • Independent parameter vectors
  • Shared parameter vector
  • Compare implementations
  • Resume and failure handling
  • Command line
• Examples and case studies
  • Three-basin calibration
  • Compare daily implementations
  • Hydrograph and flow-duration reports
  • Parameter-scenario ensemble
  • Simulation microbenchmark
• Case study: LuMod example catchments
  • Data and experiment
  • Calibration and validation results
  • Hydrographs
  • Sensitivity: example 2
  • Downloads and reproduction