Filters: Tags: Precipitation Runoff Modeling System (X)
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The ability to apply a hydrologic model to large numbers of basins for forecasting purposes requires a quick and effective calibration strategy. This paper presents a step wise, multiple objective, automated procedure for hydrologic model calibration. This procedure includes the sequential calibration of a model's simulation of solar radiation (SR), potential evapotranspiration (PET), water balance, and daily runoff. The procedure uses the Shuffled Complex Evolution global search algorithm to calibrate the U.S. Geological Survey's Precipitation Runoff Modeling System in the Yampa River basin of Colorado. This process assures that intermediate states of the model (SR and PET on a monthly mean basis), as well as the...
Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release...
This model archive contains 20 Precipitation-Runoff Modeling System (PRMS) models for 20 catchments within the Lake Michigan watershed (Mei and others, 2022). PRMS is a process-based distributed deterministic watershed model designed for the simulation of hydrologic processes including evaporation, transpiration, runoff, infiltration, interflow, and groundwater flow (Markstrom and others, 2015). The PRMS model version 5.2.0 (Markstrom and others, 2015) within the Ground-water and Surface-water FLOW (GSFLOW version 2.2.0) modeling platform (Markstrom and others, 2008) was used to construct the 20 catchment models. Each of the catchment models was calibrated using six different calibration schemes that are either...
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