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Transfer Entropy as a Tool for Hydrodynamic Model Validation.

Alicia Sendrowski1, Kazi Sadid2, Ehab Meselhe2,3

  • 1Department of Civil, Architectural and Environmental Engineering, Center for Water and the Environment, The University of Texas at Austin, Austin, TX 78712, USA.

Entropy (Basel, Switzerland)
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Summary
This summary is machine-generated.

Transfer entropy (TE) validates numerical models by quantifying information transfer between variables. This method assessed river delta model accuracy, revealing insights into hydrological processes and model limitations.

Keywords:
hydrodynamicsmodel validationprocess connectivityriver deltastransfer entropy

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Area of Science:

  • Earth and Environmental Sciences
  • Hydrology
  • Numerical Modeling

Background:

  • Numerical models are crucial for predicting changes in river deltas, including water, sediment, and solute transport.
  • Robust model validation is essential for ensuring the reliability of forecasts and understanding deltaic processes.

Purpose of the Study:

  • To introduce and apply transfer entropy (TE) as a novel method for validating numerical model outputs.
  • To assess the accuracy of the Delft3D model in simulating water level dynamics in the Wax Lake Delta by comparing observed and modeled data couplings.

Main Methods:

  • Utilized transfer entropy (TE) to quantify information transfer strength, timescale, and direction between external drivers (river discharge, tides, wind) and water levels.
  • Analyzed time-series water level data from the Wax Lake Delta and corresponding modeled data from Delft3D using a sliding window approach (10-day intervals).

Main Results:

  • Modeled and observed data couplings showed good agreement, indicating TE's utility in validation.
  • Discrepancies were linked to the model's spatial parameterization of wind and roughness, limiting its ability to capture high-frequency water level fluctuations.
  • The model demonstrated better performance in channels compared to islands, suggesting limitations in representing channel-island connectivity.

Conclusions:

  • Transfer entropy (TE) provides a valuable tool for validating numerical models by quantifying system couplings across multiple spatial and temporal scales.
  • The study highlights the importance of accurate parameterization in numerical models for capturing complex hydrological dynamics in river deltas.
  • TE application revealed specific areas for model improvement, particularly in representing channel-island interactions and high-frequency water level variability.