Huang et al. (2026) Dynamic Harmonic Regression Approach for Soil Water Flux Estimation and Temperature Prediction Under Non-Stationary Temperature Forcing

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water
• Year: 2026
• Date: 2026-09-28
• Authors: Jinting Huang, Bin Liu
• DOI: 10.3390/w18192409

Research Groups

• Institute of Hydrology, University of Freiburg
• Department of Earth Sciences, University of Geneva

Short Summary

This study develops a novel approach that couples Dynamic Harmonic Regression with a one-dimensional heat transport solution to estimate time-varying thermal diffusivity and water flux in the semi-arid Hailiutu River catchment. The method improves temperature predictions under non-stationary conditions.

Objective

• Investigate the applicability of analytical temperature-based methods under natural non-stationary conditions

Study Configuration

• Spatial Scale: Semi-arid Hailiutu River catchment (location not specified)
• Temporal Scale: Long-term monitoring period with time-varying forcing conditions

Methodology and Data

• Models used: Dynamic Harmonic Regression (DHR) coupled with a one-dimensional conductive–advective heat transport solution
• Data sources: In-situ temperature observations, soil water content measurements

Main Results

• DHR reduced representation RMSE by 44.8–81.9% relative to stationary harmonic methods
• Predicted temperatures agreed well with observations (R2 = 0.962–0.994, RMSE = 0.2–0.7 °C)
• Thermal diffusivity and water flux showed substantial temporal variability

Contributions

• Extended physically based temperature methods to non-stationary field forcing conditions
• Retained explicit analytical interpretation of the results

Funding

• Not specified in the provided text

Citation

@article{Huang2026Dynamic,
  author = {Huang, Jinting and Liu, Bin},
  title = {Dynamic Harmonic Regression Approach for Soil Water Flux Estimation and Temperature Prediction Under Non-Stationary Temperature Forcing},
  journal = {Water},
  year = {2026},
  doi = {10.3390/w18192409},
  url = {https://doi.org/10.3390/w18192409}
}