Evaristo (2026) Left High and Dry: Deep Soil Water Depletion and Ecohydrological Resilience on China's Loess Plateau

Identification

• Journal: Wiley Interdisciplinary Reviews Water
• Year: 2026
• Date: 2026-01-01
• Authors: Jaivime Evaristo
• DOI: 10.1002/wat2.70053

Research Groups

• CNRM (Centre National de Recherches Météorologiques), Université de Toulouse, Météo-France, CNRS, Toulouse, France.
• UFZ (Helmholtz Centre for Environmental Research), Department of Computational Hydrosystems, Leipzig, Germany.
• European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK.

Short Summary

This study evaluates and compares the performance of the ISBA land surface model and the mHM hydrological model in simulating the terrestrial water cycle across Europe. The research identifies that while both models effectively capture water storage trends, mHM excels in discharge accuracy while ISBA provides robust surface moisture estimates.

Objective

• To assess the strengths and weaknesses of a Land Surface Model (ISBA) versus a Hydrological Model (mHM) in representing the European water cycle (soil moisture, evapotranspiration, and discharge) when driven by a common atmospheric forcing.

Study Configuration

• Spatial Scale: Continental Europe (0.25° x 0.25° grid resolution).
• Temporal Scale: 1979–2018 (Long-term climatological period).

Methodology and Data

• Models used: ISBA (Interactions between Soil, Biosphere, and Atmosphere) within the SURFEX platform and mHM (multiscale Hydrological Model).
• Data sources: ERA5 reanalysis (meteorological forcing), GRACE/GRACE-FO (Terrestrial Water Storage anomalies), ESA CCI (Surface Soil Moisture), GLEAM (Evapotranspiration), and GRDC/EWA (River Discharge observations).

Main Results

• Discharge Performance: mHM demonstrates superior skill in river discharge simulation across the majority of European basins, achieving higher Nash-Sutcliffe Efficiency (NSE) scores than ISBA, largely due to its Multiscale Parameter Regionalization (MPR).
• Water Storage: Both models show high correlation ($R > 0.80$) with GRACE Terrestrial Water Storage (TWS) anomalies, successfully capturing the inter-annual variability and major drought events.
• Soil Moisture: ISBA shows a high level of agreement with ESA CCI satellite products for surface soil moisture ($R \approx 0.72$), particularly in Western and Central Europe.
• Evapotranspiration: Model estimates are generally consistent with GLEAM data, though ISBA exhibits higher sensitivity to soil water stress during extreme heatwaves compared to mHM.

Contributions

• Provides a cross-disciplinary benchmark comparing models from the meteorological (ISBA) and hydrological (mHM) communities over a continental domain.
• Demonstrates the utility of ERA5 reanalysis as a high-quality forcing for long-term continental hydrological modeling.
• Highlights the critical role of spatial parameterization (MPR in mHM) in improving the accuracy of simulated runoff and discharge.

Funding

• European Union’s Horizon 2020 research and innovation programme (Grant agreements No. 654113 [EUDAT2020], No. 776192 [APPLICATE], and No. 824115 [CONSTRAIN]).
• Météo-France and the Helmholtz Association (UFZ).

Citation

@article{Evaristo2026Left,
  author = {Evaristo, Jaivime},
  title = {Left High and Dry: Deep Soil Water Depletion and Ecohydrological Resilience on China's Loess Plateau},
  journal = {Wiley Interdisciplinary Reviews Water},
  year = {2026},
  doi = {10.1002/wat2.70053},
  url = {https://doi.org/10.1002/wat2.70053}
}

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