This website provides access to baseflow forecasts for river and streams across the United States using the Baseflow Separation Model, BFS (Konrad 2022). Forecasts are available to download as data tables and through an interactive mapper.
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Non-linear baseflow separation model with parameters and results (ver. 2.0, October 2022)
This data release provides source code and an R workspace with functions comprising a non-linear baseflow separation model, calibrated values of parameters and estimates of the baseflow component of daily streamflow at selected streamflow gages. Parameter values were determined by calibration of the model. Estimates of the baseflow component include daily values and the total baseflow as a fractio
BFS—A non-linear, state-space model for baseflow separation and prediction
Streamflow in rivers can be separated into a relatively steady component, or baseflow, that represents reliably available surface water and more dynamic components of runoff that typically represent a large fraction of total streamflow. A spatially aggregated numerical time-series model was developed to separate the baseflow component of a streamflow time-series using a state-space framework in wh
Authors
Christopher P. Konrad
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Non-linear baseflow separation model with parameters and results (ver. 2.0, October 2022)
This data release provides source code and an R workspace with functions comprising a non-linear baseflow separation model, calibrated values of parameters and estimates of the baseflow component of daily streamflow at selected streamflow gages. Parameter values were determined by calibration of the model. Estimates of the baseflow component include daily values and the total baseflow as a fractio - Publications
BFS—A non-linear, state-space model for baseflow separation and prediction
Streamflow in rivers can be separated into a relatively steady component, or baseflow, that represents reliably available surface water and more dynamic components of runoff that typically represent a large fraction of total streamflow. A spatially aggregated numerical time-series model was developed to separate the baseflow component of a streamflow time-series using a state-space framework in whAuthorsChristopher P. Konrad