Large-scale and fine-scale model outputs for model comparison workshop

Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This report inventories and then directly examines and compares a subset of hydrological models implemented in the Southeastern US that were used to estimate streamflow at a number of gaged basins across the region. This effort was designed to evaluate, quantify and compare the magnitude, and investigate the potential causes of error, associated with predicted streamflows from seven hydrologic models of varying complexity and calibration strategy. This was accomplished by computing and then comparing classical hydrologic model fit statistics (e.g., mean bias, coefficient of determination, root mean squared error, NSE), and understanding the bias in the prediction in these and a subset of ecologically relevant flow metrics (ERFM).This spreadsheet contains model fit statistics for the model comparison workshop across 195 USGS streamflow gauges in the southeast. Descriptions of the models included are detailed in the final report.