Lyne et al. (2026) Automated Adaptive Baseflow Separation Across Australia's Catchments Using AutoVL

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

Identification

• Journal: Water Resources Research
• Year: 2026
• Date: 2026-08-01
• Authors: Vincent D. Lyne, R. Srikanthan, Thomas A. McMahon
• DOI: 10.1029/2025wr042727

Research Groups

• Australian National University (ANU) Water Research Laboratory
• Commonwealth Scientific and Industrial Research Organisation (CSIRO) Land and Water Flagship

Short Summary

This study evaluates an automated self-calibrating baseflow-separation algorithm, AutoVL, to improve the estimation of streamflow components in diverse hydroclimatic regimes. The results demonstrate the method's capacity to adapt to differing streamflow dynamics.

Objective

• Investigate the performance of a variable-leak signal formulation coupled with a statistical recession model for reconstructing streamflow components.
• Evaluate systematic differences in flow partitioning between AutoVL and conventional Lyne–Hollick (LH) algorithm configurations.

Study Configuration

• Spatial Scale: 467 Australian catchments spanning diverse hydroclimatic regimes
• Temporal Scale: 1951–2021

Methodology and Data

• Models used: AutoVL, an automated self-calibrating baseflow-separation algorithm based on LH
• Data sources: Discharge records from the Australian catchments

Main Results

• AutoVL consistently identified larger baseflow contributions compared to LH, often nearly doubling Baseflow Index (BFI) where LH yielded BFI < 0.5.
• Hydrological variability was examined using clustering of interannual streamflow as a similarity construct to group catchments with comparable temporal behavior.

Contributions

• This study provides a framework for interpreting spatial and temporal variability in streamflow behavior and highlights the need for adaptive approaches under changing conditions.
• The results demonstrate the capacity of AutoVL to adapt to differing streamflow dynamics, offering an improved method for baseflow estimation.

Funding

• Australian Research Council (ARC) Discovery Project DP190100474

Citation

@article{Lyne2026Automated,
  author = {Lyne, Vincent D. and Srikanthan, R. and McMahon, Thomas A.},
  title = {Automated Adaptive Baseflow Separation Across Australia's Catchments Using AutoVL},
  journal = {Water Resources Research},
  year = {2026},
  doi = {10.1029/2025wr042727},
  url = {https://doi.org/10.1029/2025wr042727}
}