Selected regression models for predicting FDC quantiles for selected streamgages in the conterminous United States

This dataset contains the selected regression models interpreted in the concurrent publication (Over and others, 2018). To each group of gaged basins in each region with one basin left out, a regression model selection procedure was applied to select the best set of basin characteristics for fitting regression models to each quantile in a set of up to three contiguous groups of FDC quantiles (called here a “flow regime”) for each of four or five binary methodology choices (thus 16 or 32 methodological combinations). This dataset provides the definitions of the selected flow regimes, the regression model parameters (intercepts and coefficients of the selected basin characteristics and their standard errors), variance inflation factor (VIF) values of the selected basin characteristics, goodness-of-fit statistics (adjusted-R-squared and AIC) of the fitted models, and predicted FDCs for each of the methodological combinations. This dataset contains a zipped file (Model_info.zip) of 1 or 2 CSVs per study region containing model information grouped by the number of basin characteristics considered in the regression models.

[
  "010:12"
]

[
  "geospatial"
]