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Iterative Model Calibration (IMC) v1.0 IMC is a generalizable framework for calibrating numerical models in geosciences, particularly geomorphology. It utilizes a Gaussian neighborhood algorithm to efficiently identify optimal parameters, enhancing model precision.

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IMC

Iterative Model Calibration (IMC) v1.0: IMC is a generalizable framework for calibrating numerical models in geosciences, particularly geomorphology. It utilizes a Gaussian neighborhood algorithm to efficiently identify optimal parameters, enhancing model precision.
See paper here

To run the IMC algorithm:

  1. In a virtual environment install the dependencies (requirements.txt file).
  2. Activate the environment
  3. IMC_run.py is located at this PATH "CL1.9j_new\bin\Debug\IMC_run.py"
    Go to the location and execute the file.
    It supports command line argument.

CAESAR-lisflood 1.9j is used to test the IMC and forms the part of the code pacakge. The source code and has been accessed from here. The CAESAR-lisflood 1.9j source code has been slightly modified to enable interaction with IMC.

Complete IMC setup

Glossary of the codes and relevant files (available at the above PATH location)

(Refer above image)

In code name -----------Name used in paper

IMC_run.py -------------- Calibration algorithm
our_site.xml -------------- XML config. file
CL_param_csv_short.csv - PD file
g2_2019_fildem.txt ------ DEM year 0
dod_19_21_orig.txt ------ DOD_Target
19_21_rain_hourly.txt ---- Rain data

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Iterative Model Calibration (IMC) v1.0 IMC is a generalizable framework for calibrating numerical models in geosciences, particularly geomorphology. It utilizes a Gaussian neighborhood algorithm to efficiently identify optimal parameters, enhancing model precision.

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