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Jupyter Notebook for Kinematic Wave Parameter Estimation

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This notebook shows how to use the pregenerate models from SciKit-Learn to generate kinematic wave Alpha & Beta parameters for the EF5 distributed hydrologic models.

This model requires basin averaged estimates of the following variables:

  • Mean annual temperature (degrees C)
  • Mean annual precipitation (mm)
  • Impervious area (%)
  • Clay (%)
  • Sand (%)
  • Silt (%)
  • Relief ratio
  • Course Fragments (%)
  • Depth to bedrock (mm)
  • Bulk Density
  • Population

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Alpha & Beta kinematic wave parameter estimation

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