MET

Model Evaluation Tools (MET) verification package. MET is designed to be a highly-configurable, state-of-the-art suite of verification tools. It was developed using output from the Weather Research and Forecasting (WRF) modeling system but may be applied to the output of other modeling systems as well. MET provides a variety of verification techniques, including: Standard verification scores comparing gridded model data to point-based observations; Standard verification scores comparing gridded model data to gridded observations; Spatial verification methods comparing gridded model data to gridded observations using neighborhood, object-based, and intensity-scale decomposition approaches; Ensemble and probabilistic verification methods comparing gridded model data to point-based or gridded observations; Aggregating the output of these verification methods through time and space.

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References in zbMATH (referenced in 1 article )

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  1. Alexander Jordan, Fabian Krueger, Sebastian Lerch: Evaluating probabilistic forecasts with the R package scoringRules (2017) arXiv