This data release contains the input used and the output files interpreted in the publication 'Refinement of a Regression-Based Method for Prediction of Flow-Duration Curves of Daily Streamflow in the Conterminous United States'. This data release contains daily streamflow data for 1,378 streamgages in 19 study regions in the conterminous U.S. from October 1, 1980 through September 30, 2013 from mostly undisturbed watersheds. This data release also contains the empirical flow-duration curves (FDCs) derived from this daily streamflow data, presented as 27 quantiles ranging from 0.02 to 99.98 percent nonexceedance probabilities. Selected basin characteristics from the GAGES-II dataset (https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011) were transformed to reduce skewness and to convert to a similar range of values and then used, directly or in the construction of additional variables, to fit regression equations for predicting FDCs. Basin characteristic selection and transformation was performed separately for each study region. The basin characteristics considered for use in candidate regression models are presented in their original units and as their transformed values; a table specifying the variable transformations is also provided. To each group of gaged basins in each region with one basin left out, a regression model selection procedure, with four or five binary methodological choices thus 16 or 32 methodological combinations, was applied to select the best regression model for each contiguous group of FDC quantiles (called here a 'flow regime'). This data release provides the definitions of the selected flow regimes, the regression model parameters, goodness-of-fit statistics of the fitted models, and predicted FDCs for the gaged basin that was left out for the selected FDC regression models for each of the methodological combinations.
Citation Information
Publication Year | 2018 |
---|---|
Title | Streamflow, flow-duration curves, basin characteristics, and regression models of flow-duration curves for selected streamgages in the conterminous United States |
DOI | 10.5066/F70G3JC4 |
Authors | Amy M. Russell, Thomas M Over, William H. Farmer |
Product Type | Data Release |
Record Source | USGS Digital Object Identifier Catalog |
USGS Organization | Central Midwest Water Science Center |
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Refinement of a regression-based method for prediction of flow-duration curves of daily streamflow in the conterminous United States
Amy M Russell
Supervisory Hydrologist
William H Farmer, Ph.D.
Acting Director, Northeast Climate Adaptation Science Center
Research Physical Scientist
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Refinement of a regression-based method for prediction of flow-duration curves of daily streamflow in the conterminous United States
Regional regression is a common tool used to estimate daily flow-duration curves (FDCs) at ungaged locations. In this report, several refinements to a particular implementation of the regional regression method for estimating FDCs are evaluated by consideration of different methodological options through a leave-one-out cross-validation procedure in the 19 major river basins of the conterminous UnAuthorsThomas M. Over, William H. Farmer, Amy M. Russell - Connect
Amy M Russell
Supervisory HydrologistEmailPhoneWilliam H Farmer, Ph.D.
Acting Director, Northeast Climate Adaptation Science CenterResearch Physical ScientistEmailPhone