Performance metrics for 95- percent confidence intervals of estimated daily streamflow using four transfer-based simulation methods across the continental U.S.
Dates
Publication Date
2020
Start Date
1980-09-01
End Date
2013-09-30
Citation
Levin, S.B., and Farmer, W.H., 2020, Performance metrics for 95- percent confidence intervals of estimated daily streamflow using four transfer-based simulation methods across the continental U.S.: U.S. Geological Survey data release, https://doi.org/10.5066/P9KCLD9W.
Summary
Daily streamflow was simulated at 1,331 validation streamgages across the continental United States using both the drainage area ratio (DAR) method and nonlinear spatial interpolation using flow duration curves (QPPQ). Each simulation method was implemented using two index gage selection methods: nearest neighbor (NN) and map correlation (MC), resulting in a total of 4 daily streamflow simulations at each validation streamgage (NNDAR, MCDAR, NNQPPQ, MCQPPQ). Streamflow was simulated for the period of record matching the observed streamflows between September 1, 1980 through September 30, 2013. Empirical 95-percent confidence intervals were computed for daily streamflow estimates for each simulation method. Confidence intervals were [...]
Summary
Daily streamflow was simulated at 1,331 validation streamgages across the continental United States using both the drainage area ratio (DAR) method and nonlinear spatial interpolation using flow duration curves (QPPQ). Each simulation method was implemented using two index gage selection methods: nearest neighbor (NN) and map correlation (MC), resulting in a total of 4 daily streamflow simulations at each validation streamgage (NNDAR, MCDAR, NNQPPQ, MCQPPQ). Streamflow was simulated for the period of record matching the observed streamflows between September 1, 1980 through September 30, 2013. Empirical 95-percent confidence intervals were computed for daily streamflow estimates for each simulation method. Confidence intervals were evaluated for their reliability, sharpness (width), and overall ability to accurately quantify the uncertainty in the estimated daily streamflow.
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Summary_metrics_all_gages.csv
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ModelArchive.zip
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metadata_updated.xml Original FGDC Metadata
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Related External Resources
Type: Publication that references this resource
Levin, S.B. and Farmer, W.H, 2020, Evaluation of uncertainty intervals for daily, statistically derived streamflow estimates at ungaged basins across the continental U.S., Water, vol. 12, https://doi.org/10.3390/w12051390
Dataset was created to assess the applicability of an empirical method of computing confidence intervals for daily streamflow estimates across a range of hydrologic regimes.
