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Using Dynamic Linear Modeling to Characterize Hydrologic Regimes and Detect Flow Modifications at Multiple Temporal Scales

Dates

Start Date
2010-10-01 04:00:00
End Date
2013-01-31 05:00:00

Citation

Landscape Conservation Cooperative Network(administrator), Ben Letcher(Principal Investigator), Scott Steinschneider(Cooperator/Partner), Austin Polebitski(Cooperator/Partner), Casey Brown(Cooperator/Partner), Using Dynamic Linear Modeling to Characterize Hydrologic Regimes and Detect Flow Modifications at Multiple Temporal Scales, https://www.fws.gov/science/catalog

Summary

The cascade of uncertainty that underscores climate impact assessments of regional hydrology undermines their value for long-term water resources planning and management. This study presents a statistical framework that quantifies and propagates the uncertainties of hydrologic model response through projections of future streamflow under climate change. Different sources of hydrologic model uncertainty are accounted for using Bayesian modeling. The distribution of model residuals is formally characterized to quantify predictive skill, and Markov chain Monte Carlo sampling is used to infer the posterior distributions of both hydrologic and error model parameters. Parameter and residual error uncertainties are integrated to develop reliable [...]

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Ben Letcher(Principal Investigator)

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Type Scheme Key
urn:uuid urn:uuid 0f64c017-208c-469d-a1ad-df7e137b3f5c
adiwg adiwg LCCNet201103

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languageeng

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