Beyond Streamflow: Call for a National Data Repository of Streamflow Presence for Streams and Rivers in the United...

Area of Science:

• Hydrology
• Environmental Science
• Geospatial Analysis

Background:

• Surface water observations characterize streamflow permanence (frequency, duration, extent).
• Headwater streams are vital, often non-perennial, and data-deficient.
• Existing surface water datasets are fragmented and difficult to integrate.

Purpose of the Study:

• To highlight existing surface water presence datasets for headwater streams.
• To identify challenges in integrating diverse streamflow data.
• To propose components for a unified data integration framework.

Main Methods:

• Literature review of existing surface water presence datasets.
• Analysis of data integration challenges (definitions, methods, resolution, accuracy).
• Identification of critical components for dataset unification.

Main Results:

• Numerous surface water presence datasets exist, including crowdsourced data.
• Key integration challenges include varying definitions, methods, and data quality.
• A list of essential components for integrating streamflow permanence data was developed.

Conclusions:

• A unified approach is needed to effectively utilize surface water data.
• Addressing integration challenges will improve understanding of headwater streamflow.
• The proposed components can guide the development of a comprehensive streamflow database.