Hydrology and Climate Change Article Summaries

Ahamed et al. (2025) Identifying Baseflow Source Areas Using Remotely Sensed and Ground‐Based Hydrologic Data and Models

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

Identification

Research Groups

The abstract does not specify research groups, labs, or departments involved.

Short Summary

This study developed a data-driven approach using satellite and ground-based data to assess the spatial influence of rainfall and snowmelt on baseflow in California's Sierra Nevada. It revealed that snowmelt occurring in the 3000–3700 m elevation range is the most significant driver of baseflow, rather than areas with the highest annual rainfall or snowmelt rates.

Objective

Study Configuration

Methodology and Data

Main Results

Contributions

Funding

The abstract does not contain information regarding funding projects, programs, or reference codes.

Citation

@article{Ahamed2025Identifying,
  author = {Ahamed, Aakash and Knight, Rosemary and Janssen, Joseph},
  title = {Identifying Baseflow Source Areas Using Remotely Sensed and Ground‐Based Hydrologic Data and Models},
  journal = {Hydrological Processes},
  year = {2025},
  doi = {10.1002/hyp.70322},
  url = {https://doi.org/10.1002/hyp.70322}
}

Original Source: https://doi.org/10.1002/hyp.70322