On September 30, 2021, a saildrone uncrewed surface vehicle made history by intercepting the eyewall of Hurricane Sam in the northwestern tropical Atlantic, recording a […]
numerical weather prediction
NOAA and partners have released the source code for its next-generation short-range forecast application to the weather research community to accelerate development of the model, which predicts atmospheric behavior on a timescale from less than an hour to several days, including critical life-saving weather and water forecasts during extreme events.
Evaluation of numerical weather prediction (NWP) is critical for both forecasters and researchers. Through such evaluation, forecasters can understand the strengths and weaknesses of NWP guidance, and researchers can work to improve NWP models. However, evaluating high-resolution convection-allowing models (CAMs) requires unique verification metrics tailored to high-resolution output, particularly when considering extreme events. Metrics used and fields evaluated often differ between verification studies, hindering the effort to broadly compare CAMs. The purpose of this article is to summarize the development and initial testing of a CAM-based scorecard, which is intended for broad use across research and operational communities and is similar to scorecards currently available within the enhanced Model Evaluation Tools package (METplus) for evaluating coarser models.