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
- Journal: Hydrological Processes
- Year: 2025
- Date: 2025-11-01
- Authors: Aakash Ahamed, Rosemary Knight, Joseph Janssen
- DOI: 10.1002/hyp.70322
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
- To develop a data-driven approach leveraging satellite Earth observation and ground-based data to assess the degree to which baseflow is influenced by upstream rainfall and snowmelt in California's Sierra Nevada.
Study Configuration
- Spatial Scale: California's Sierra Nevada mountain range.
- Temporal Scale: Analysis of streamflow time series; specific duration not mentioned.
Methodology and Data
- Models used: Low-pass filtering technique (for baseflow separation), time series methods, and information theory methods.
- Data sources: Satellite Earth observation data, ground-based data, and streamflow time series.
Main Results
- Areas with the strongest impact on baseflow through rainfall and snowmelt are not necessarily those experiencing the highest annual rates of snowmelt or rainfall.
- Snowmelt occurring in the 3000–3700 m elevation range was found to be the most important driver of baseflow.
Contributions
- Development of a novel data-driven approach to assess spatial couplings between rainfall, snowmelt, and baseflow, addressing limitations of traditional geochemical tracers (cost) and hydrologic models (simplifying assumptions).
- Characterization of specific elevation zones that exert a prevailing influence on baseflow through snowmelt.
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