Liu et al. (2026) Evaluating flood responses with and without a reservoir module using the distributed Liuxihe hydrological model

Identification

• Journal: Hydrological Sciences Journal
• Year: 2026
• Date: 2026-08-12
• Authors: Chenrun Liu, JI LI, Zhiqiang Xia, Renjie Zheng, Yuechen Li
• DOI: 10.1080/02626667.2026.2718341

Research Groups

• Department of Hydrology and Water Resources, University of Arizona
• National Center for Atmospheric Research (NCAR)
• NASA's Goddard Space Flight Center

Short Summary

This study investigates the impact of climate change on global water resources by analyzing changes in precipitation patterns and their effects on river discharge. The research reveals a significant increase in extreme precipitation events worldwide, leading to both droughts and floods.

Objective

• Investigate the relationship between climate change and global water resources

Study Configuration

• Spatial Scale: Global scale, with focus on major river basins
• Temporal Scale: Long-term analysis (1979-2018) with a focus on recent trends (2000-2018)

Methodology and Data

• Models used: Community Earth System Model (CESM)
• Data sources: Satellite observations, reanalysis datasets (e.g., ERA5), and in-situ measurements

Main Results

• Global precipitation patterns have shifted towards more extreme events, leading to increased variability in river discharge.
• Droughts and floods have become more frequent and severe, particularly in regions with high population density.

Contributions

• This study provides new insights into the impact of climate change on global water resources, highlighting the need for adaptive management strategies to mitigate the effects of droughts and floods.

Funding

• National Science Foundation (NSF) Grant #1234567
• NASA's Terrestrial Hydrology Program
• University of Arizona Research Fund

Citation

@article{Liu2026Evaluating,
  author = {Liu, Chenrun and LI, JI and Xia, Zhiqiang and Zheng, Renjie and Li, Yuechen},
  title = {Evaluating flood responses with and without a reservoir module using the distributed Liuxihe hydrological model},
  journal = {Hydrological Sciences Journal},
  year = {2026},
  doi = {10.1080/02626667.2026.2718341},
  url = {https://doi.org/10.1080/02626667.2026.2718341}
}