The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
Nicholas Loveday, Deryn Griffiths, Tennessee Leeuwenburg, Robert, Taggart, Thomas C. Pagano, George Cheng, Kevin Plastow, Elizabeth Ebert,, Cassandra Templeton, Maree Carroll, Mohammadreza Khanarmuei, Isha Nagpal

TL;DR
The Jive verification system, developed for the Australian Bureau of Meteorology, has significantly improved forecast accuracy and operational decision-making through innovative metrics, visualization tools, and research support, transforming weather forecasting practices.
Contribution
This paper introduces the Jive verification system, detailing its development, features, and impact on operational meteorology and forecast verification science.
Findings
Enhanced forecast accuracy and reliability.
Introduction of decision-focused verification metrics.
Support for forecast automation and meteorologist decision-making.
Abstract
Forecast verification is critical for continuous improvement in meteorological organizations. The Jive verification system was originally developed to assess the accuracy of public weather forecasts issued by the Australian Bureau of Meteorology. It started as a research project in 2015 and gradually evolved to be a Bureau operational verification system in 2022. The system includes daily verification dashboards for forecasters to visualize recent forecast performance and "Evidence Targeted Automation" dashboards for exploring the performance of competing forecast systems. Additionally, Jive includes a Jupyter Notebook server with the Jive Python library which supports research experiments, case studies, and the development of new verification metrics and tools. This paper describes the Jive verification system and how it helped bring verification to the forefront at the Bureau of…
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Taxonomy
TopicsAdvanced Computational Techniques and Applications
