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

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

Abstract Stochastic hydrology produces ensembles of time series that represent plausible future streamflow to simulate and test the operation of water resource systems. A premise of stochastic hydrology is that ensembles should be statistically representative of what may occur in the future. In the...

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Bibliographic Details
Main Authors: Homa Salehabadi, David G. Tarboton, Kevin G. Wheeler, Rebecca Smith, Sarah Baker
Format: Article
Language:English
Published: Wiley 2024-07-01
Series:Water Resources Research
Subjects:
streamflow ensemble
statistical metrics
stochastic hydrology
time series
water management
Colorado River Basin
Online Access:https://doi.org/10.1029/2024WR037225
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https://doi.org/10.1029/2024WR037225

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