Liu et al. (2026) Land Surface Feedbacks Regulate Atmospheric Water Demand and Maintain Global Drying Stability

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Identification

• Journal: Water Resources Research
• Year: 2026
• Date: 2026-08-01
• Authors: Ziwei Liu, Xiao Peng, Alan D. Ziegler, Taihua Wang, Hanbo Yang
• DOI: 10.1029/2025wr043169

Research Groups

Not specified in the provided text.

Short Summary

The study resolves the "aridity paradox" by revising the potential evaporation (PE) formulation to treat vapor pressure deficit (VPD) as a dynamic feedback rather than an external driver. This new approach indicates that global aridity will remain relatively stable under climate warming, contradicting previous projections of intensification.

Objective

• To address the conceptual flaw in conventional potential evaporation (PE) formulations regarding land–atmosphere coupling and resolve the contradiction between projected aridity and observed global greening/water flux trends (the "aridity paradox").

Study Configuration

• Spatial Scale: Global.
• Temporal Scale: Climate change projection period.

Methodology and Data

• Models used: A revised PE equation that embeds vapor pressure deficit (VPD) as a dynamic feedback to restore physical coupling between energy and moisture fluxes.
• Data sources: Observed hydroecological trends, including precipitation, runoff, and vegetation productivity.

Main Results

• Conventional PE formulations overestimate the increase in atmospheric water demand by treating VPD as an external driver.
• The revised PE formulation projects significantly weaker increases in potential evaporation compared to traditional models.
• The new formulation shows a higher correlation with observed hydroecological trends (e.g., widespread greening).
• Findings suggest that global aridity is more stable in a warming world than previously estimated.

Contributions

• Establishes a new conceptual basis for resolving the aridity paradox.
• Highlights the necessity of reevaluating PE-based indices used in climate change projections and drought risk assessments.

Funding

Not specified in the provided text.

Citation

@article{Liu2026Land,
  author = {Liu, Ziwei and Peng, Xiao and Ziegler, Alan D. and Wang, Taihua and Yang, Hanbo},
  title = {Land Surface Feedbacks Regulate Atmospheric Water Demand and Maintain Global Drying Stability},
  journal = {Water Resources Research},
  year = {2026},
  doi = {10.1029/2025wr043169},
  url = {https://doi.org/10.1029/2025wr043169}
}