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Distribution Models of Flow-Duration Quantiles for Streamgages

Dates

Start Date
1950-01-01
End Date
2009-12-31
Publication Date

Citation

Robinson, A.L., Asquith, W.H., Crowley-Ornelas, E.R., and Knight, R.R., 2021, Estimated quantiles of decadal flow-duration curves using selected probability distributions fit to no-flow fractions and L-moments predicted for streamgages and for pour points of level-12 hydrologic unit codes in the southeastern United States, 1950–2010: U.S. Geological Survey data release, https://doi.org/10.5066/P9MV8BYR.

Summary

Using previously published (Robinson and others, 2019) no-flow fractions and L-moments of nonzero streamflow from decadal streamflow flow-duration analysis (daily mean streamflow), probability distributions were fit to provide 27 estimated quantiles of decadal flow-duration curves, and hence the probability distributions are a form of parametric modeling that ensures monotonicity of the quantiles by non-exceedance probability (NEP). For both U.S. Geological Survey streamflow-gaging stations (streamgages) and level-12 hydrologic unit code (HUC12) catchments, as defined by Crowley-Ornelas and others (2019), the 27 quantiles were estimated and tabulated in this data release. Three probability distributions were used and are summarized [...]

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Attached Files

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all_gage_fdclmr_nnn.csv.zip 1.13 MB application/zip
all_gage_fdclmr_nnn.feather.zip 1.55 MB application/zip
README_gage_fdclmr.pdf 158.85 KB application/pdf

Purpose

The results are provided in two different formats— feather files and csv files— for the ease of the data user.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier 10.5066/P9MV8BYR

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