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

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.

Publication Details

Journal
Digital Commons - USU (Utah State University)
Published
2024-08-08
DOI
https://doi.org/10.26077/c01c-ea60
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Digital Commons - USU (Utah State University)
Hydrology and Watershed Management Studies
article

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

article en

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.

Digital Commons - USU (Utah State University)
Clean water and sanitation
Openalex Percentile: Top 62%
Hydrology and Watershed Management Studies
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Quantifying and Classifying Streamflow Ensembles Using a Broad Range of Metrics for an Evidence-Based Analysis: Colorado River Case Study · Digital Commons - USU (Utah State University) (2024) | TGRS Research Map | TGRS