Quantifying and Classifying Streamflow Ensembles Using a Broad Range of Metrics for an Evidence-Based Analysis: Colorado River Case Study

Authors

Homa Salehabadi, Utah State University
David G. Tarboton, Utah State UniversityFollow
Kevin G. Wheeler, University of Oxford
Rebecca Smith, U.S. Bureau of Reclamation
Sarah Baker, U.S. Bureau of Reclamation

Document Type

Report

Publisher

Utah Water Research Laboratory

Publication Date

7-2024

First Page

1

Last Page

2

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Abstract

Using the Colorado River Basin as a case study, this research article highlights the need for streamflow ensembles that accurately represent potential future conditions rather than solely relying on historical data. The comprehensive set of statistical metrics introduced can be used to evaluate and classify these streamflow ensembles. This evidence-based framework can inform water resource management in the face of uncertain conditions.

Comments

Last updated 8/14/2024

Recommended Citation

Salehabadi, Homa; Tarboton, David G.; Wheeler, Kevin G.; Smith, Rebecca; and Baker, Sarah, "Quantifying and Classifying Streamflow Ensembles Using a Broad Range of Metrics for an Evidence-Based Analysis: Colorado River Case Study" (2024). Research Briefs. Paper 3.
https://digitalcommons.usu.edu/water_research_briefs/3