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April 10, 2026Journal of Geophysical Research Biogeosciences

Implementing a Dynamic Root Distribution Scheme Responsive to Soil Environment Into Noah‐MP‐Crop: Improving Simulations of Soil Water, Crop Growth, and Energy Fluxes in Agro‐Ecosystems

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Authors

HMHuimin MengCZChesheng ZhanSHShi Hu

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Overview

Implements a root distribution model improving soil moisture and crop growth simulations, indicating enhanced land-atmosphere interactions.

Key Points

  • The aim is to enhance root distribution modeling in land surface models to improve simulations of soil and crop interactions.
  • Developed a soil-environment-responsive dynamic root distribution scheme (SE_root) within Noah-MP-Crop framework.
  • Compared SE_root to static and exponential dynamic root parameterizations (fixed_root and Exp_root).
  • Evaluated model performance using in situ observations from the North China Plain.
  • SE_root significantly outperformed fixed_root and Exp_root schemes in capturing soil moisture (SM) dynamics and crop growth metrics.
  • Model yielded R² values above 0.56 for SM, leaf area index (LAI), and latent heat flux (LHF).
  • Site-scale mean absolute errors for SM reduced by 10%-12% and for LAI by 4%-10% compared to static and exponential schemes.

Cite This Study

Meng et al. (2026) studied this question.

synapsesocial.com/papers/69d896406c1944d70ce079d3https://doi.org/10.1029/2025jg009462
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