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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| Main Authors: | Homa Salehabadi, David G. Tarboton, Kevin G. Wheeler, Rebecca Smith, Sarah Baker |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-07-01
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| Series: | Water Resources Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024WR037225 |
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