With the evolution of weather and climate prediction using the Unified Forecast System (UFS), verification and evaluation activities are critical for the success of Research to Operations (R2O) across the UFS community. The enhanced Model Evaluation Tools (MET) framework (METplus) is at the core of an expanding cross-section of the community evaluation activities.
The METplus system consists of several components for the computation of traditional statistics based on gridded forecasts and either a gridded analysis or point-based observations. The system also incorporates an analysis system for aggregating statistics and plotting graphical results. These tools are designed to be highly flexible to allow for quick adaption to meet additional evaluation and diagnostic needs. A suite of python wrappers have been implemented in METplus to facilitate a low-level automation and configuration of the system, and to enhance the pre-existing plotting capabilities.
This presentation will briefly highlight advances in the recent METplus coordinated 5.0.0 release. It will also address the challenges and successes of community contributions and established capability to facilitate the advancement of innovations through UFS stages and gates.
Tara Jensen is Project Manager II at NCAR/RAL and the Deputy for the NCAR node of the Developmental Testbed Center. For the past 8 years, she has been leading the DTC verification team in the development of the enhanced Model Evaluation Tools verification and diagnostics framework (METplus). This framework has its roots in Tropospheric weather and Tropical Cyclone verification but over the years has been extended to also specifically include metrics for applications such as Subseasonal to Seasonal, Atmospheric Composition, Marine and Cryosphere. Tara and her team have also been working with SWPC over the past three years to guide development of METplus for use in Space Weather model evaluation.
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