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Long-Term Monthly Baseflow Index Signatures
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Created: May 19, 2025 at 2:51 p.m.
Last updated: May 19, 2025 at 7:07 p.m.
Published date: May 19, 2025 at 7:07 p.m.
DOI: 10.4211/hs.85ab212b18f543b0bd3c7b749cfeef66
Citation: See how to cite this resource
Content types: CSV Content 
Sharing Status: Published
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Abstract

This resource presents data used in the study by van der Heijden et al. (under review, 2025). The data contains monthly mean baseflow indices (BFI) for 1,432 United Stated Geological Survey (USGS) streamflow gages across the Continental United States (CONUS).

The streamflow gages used are those considered of reference-quality by the Geospatial Attributes of Gages for Evaluating Streamflow, version II (GAGES-II) dataset (Falcone, 2011) that contain at least 20 years of continuous daily streamflow measurements.

Baseflow separation was conducted using a single parameter recursive digital low-pass filter based on Lyne and Hollick, (1979) for baseflow separation. The filter, implemented in the R package EcoHydRology (Fuka et al., 2014), was converted to Python (Hamshaw et al., 2020) and as part of this research is now available through the Baseflow Python package developed by Brigham Young University Hydroinformatics group (https://github.com/BYU-Hydroinformatics) The filter parameter was tuned to the long-term flow history of each gage individually using the 10th non-exceedance percentile of streamflow.

References:
Ryan van der Heijden, Ali Dadkhah, Scott Hamshaw, Mandar Dewoolkar, Ehsan Ghazanfari, Norm Jones, Gustavious Williams, Prabhakar Clement, Donna M. Rizzo. “Identifying and interpreting physical processes and NWM prediction bias associated with baseflow regimes across the CONUS.” Water Resources Research (under review, 2025).

Falcone, James A. 2011. “GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow.” Report. Reston, VA. USGS Publications Warehouse. https://doi.org/10.3133/70046617.

Lyne, V. D. and Hollick, M.: Stochastic time-variable rainfall runoff modelling, Hydrology and Water Resources Symposium, Institution of Engineers, Australia, Perth, 10–12 September 1979, 89–92, 1979.

Hamshaw, Scott D., Donna M. Rizzo, Ali Javed, and Linh Nguyen. "Watershed data science at the event scale: Revealing insights in watershed function through analysis of concentration-discharge relationships." In AGU Fall Meeting Abstracts, vol. 2020, pp. H077-08. 2020.

Fuka DR, Walter MT, Archibald JA, Steenhuis, TS, and Easton ZM. “EcoHydRology, a community modeling foundation for Eco-Hydrology.” 2014.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
50.0000°
East Longitude
-64.0000°
South Latitude
20.0000°
West Longitude
-131.0000°

Content

readme.txt 

Long-term monthly baseflow index signatures.

Item:
	usgs_ID		USGS station ID from NWIS
	Lat			Latitude from NWIS
	Lon			Longitude from NWIS
	Beta			Tuned filter parameter used for baseflow separation
	1 - 12			Corresponds to month of year starting in January

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Cooperative Institute for Research on Hydrology (CIROH) NA22NWS4320003

How to Cite

van der Heijden, R. (2025). Long-Term Monthly Baseflow Index Signatures, HydroShare, https://doi.org/10.4211/hs.85ab212b18f543b0bd3c7b749cfeef66CrossRefSubmissionStatus.PENDING

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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