Generalized linear models and input data for forecasting the probability of groundwater levels declining below specified low thresholds for the conterminous U.S.
June 30, 2017
This dataset contains model parameters and input data (.rdata files) for 258 models derived for wells in the conterminous United States. The models are generalized linear models with a binomial response variable (logistic regression) for forecasting the probability of groundwater levels declining or maintaining below specified low thresholds for any time of the year for forecast time horizons from from 1 to 12 months.
Citation Information
| Publication Year | 2017 |
|---|---|
| Title | Generalized linear models and input data for forecasting the probability of groundwater levels declining below specified low thresholds for the conterminous U.S. |
| DOI | 10.5066/F798856Z |
| Authors | Robert W Dudley, Glenn A Hodgkins, Jesse E Dickinson |
| Product Type | Data Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | New England Water Science Center |
| Rights | This work is marked with CC0 1.0 Universal |