This tool consists of two parts: model performance evaluation and scenario analysis (MPESA). The model performance evaluation consists of two components: model performance evaluation metrics and model diagnostics. These metrics provide modelers with statistical goodness-of-fit measures that capture magnitude only, sequence only, and combined magnitude and sequence errors. The performance measures include error analysis, coefficient of determination, Nash-Sutcliffe efficiency, and a new weighted rank method. For HSPF users, this tool replaces the functionalities of the outdated GenScn (Generation and Analysis of Simulation Scenarios) program.
Mohamoud Y.M. Model Performance Evaluation and Scenario Analysis (MPESA) Tutorial.
US EPA Office of Research and Development, Washington DC, EPA/600/B-16/080, 2016
- Model Performance Scenario Analyst Final Report (PDF)(47 pp, 1 MB, May, 2016)