Chahed (2025) Hydro‐Climatic Modelling for Water Resources: From Processes to Adaptive Management and Governance

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

Identification

• Journal: Hydrological Processes
• Year: 2025
• Date: 2025-12-01
• Authors: Jamel Chahed
• DOI: 10.1002/hyp.70348

Research Groups

Not specified in the abstract.

Short Summary

This paper synthesizes advances in hydro-climatic modelling, particularly within the CMIP framework, to demonstrate how improved model design and uncertainty management inform practical water resource strategies and adaptive governance, while also identifying persistent challenges and promising new approaches.

Objective

• To consolidate the link between climate science and hydrology by examining how improvements in climate model design, process representation, and uncertainty management translate into implications for water resources and adaptive governance.

Study Configuration

• Spatial Scale: Global to local scales.
• Temporal Scale: Climate projections (decadal to centennial).

Methodology and Data

• Models used: Discusses developments within the Coupled Model Intercomparison Project (CMIP) framework, including high-resolution modelling, emulators, and machine learning (ML) approaches.
• Data sources: Not specified as it is a synthesis paper, but implicitly relies on data used by CMIP models (e.g., observational, reanalysis, scenario data).

Main Results

• Highlights key developments within CMIP, such as the integration of biogeochemical cycles, refined parameterisations, and expanded socio-economic scenarios.
• Identifies persistent challenges in simulating precipitation and cross-scale feedbacks, which directly constrain hydrological projections.
• Presents innovative approaches (high-resolution modelling, emulators, machine learning) as promising tools to refine process fidelity and bridge global-to-local scales.

Contributions

• Consolidates the link between climate science and hydrology, moving beyond a general review.
• Clarifies how uncertainty in climate modelling informs adaptive strategies and decision-making in water governance.
• Advances the understanding of hydrological processes within the climate system.
• Charts actionable pathways for sustainable and resilient water management by integrating technical frontiers with governance debates.

Funding

Not specified in the abstract.

Citation

@article{Chahed2025HydroClimatic,
  author = {Chahed, Jamel},
  title = {Hydro‐Climatic Modelling for Water Resources: From Processes to Adaptive Management and Governance},
  journal = {Hydrological Processes},
  year = {2025},
  doi = {10.1002/hyp.70348},
  url = {https://doi.org/10.1002/hyp.70348}
}

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