Fu et al. (2025) Influence of Climate Characteristics on Streamflow in the Murray–Darling Basin

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

Identification

• Journal: Water
• Year: 2025
• Date: 2025-11-25
• Authors: Guobin Fu, David Post, Francis H. S. Chiew, Zaved Khan, Hongxing Zheng
• DOI: 10.3390/w17233364

Research Groups

Not explicitly mentioned in the provided text. The study was conducted across 133 catchments in the Murray–Darling Basin.

Short Summary

This study assessed the relationship between streamflow and climate characteristics across 133 catchments in the Murray–Darling Basin, finding that annual streamflow is primarily driven by mean annual rainfall and potential evapotranspiration, with other rainfall characteristics influencing specific streamflow metrics.

Objective

• To assess the relationship between annual streamflow and climate characteristics (rainfall, potential evapotranspiration) using data from 133 catchments across the Murray–Darling Basin.
• To assess the response of key streamflow metrics (mean annual runoff, high-flow days, low-flow days, and minimum three-year flow) to changes in rainfall characteristics and potential evapotranspiration.

Study Configuration

• Spatial Scale: 133 catchments across the Murray–Darling Basin, Australia.
• Temporal Scale: Annual streamflow, daily and monthly rainfall, multi-day rainfall totals, multi-year rainfall lows, minimum three-year flow.

Methodology and Data

• Models used: A weather generator, five hydrological models (specific names not provided).
• Data sources: Observational rainfall data, potential evapotranspiration (PET) data, and streamflow data.

Main Results

• Annual streamflow is strongly correlated with many rainfall characteristics, but annual rainfall generally serves as a good predictor due to strong inter-correlations among rainfall characteristics.
• Secondary influences on annual streamflow include effective rainfall (cumulative positive differences between daily or monthly rainfall and PET), rainfall seasonality, multi-day rainfall totals, and multi-year rainfall lows.
• Changes in future mean annual streamflow are primarily driven by changes in mean annual rainfall and PET.
• High flows are strongly influenced by multi-day rainfall totals, in addition to mean annual rainfall.
• Multi-year hydrological droughts are influenced by multi-year rainfall lows and annual rainfall variability.

Contributions

• Identifies key climate characteristics crucial for assessing the impacts of future climate change on water availability.
• Provides insights that can inform the development of next-generation hydrological models capable of addressing non-stationarity and improving streamflow prediction under a changing climate.

Funding

Funding information is not explicitly provided in the text.

Citation

@article{Fu2025Influence,
  author = {Fu, Guobin and Post, David and Chiew, Francis H. S. and Khan, Zaved and Zheng, Hongxing},
  title = {Influence of Climate Characteristics on Streamflow in the Murray–Darling Basin},
  journal = {Water},
  year = {2025},
  doi = {10.3390/w17233364},
  url = {https://doi.org/10.3390/w17233364}
}