As artificial intelligence (AI) methods are increasingly used to develop new guidance
intended for operational use by forecasters, it is critical to evaluate whether forecasters …

Thunderstorms are recognized as one of the most disastrous weather threats in Canada
because of their power to cause substantial damage to human-made structures and even …

Data-driven machine learning technology can learn and extract features, a factor which is
well recognized to be powerful in the warning and prediction of severe weather. With the …

Abstract The High Resolution Rapid Refresh (HRRR) model provides hourly-updating
forecasts of convective-scale phenomena, which can be used to infer the potential for …

Climate change poses significant challenges for society, particularly in mitigating the
impacts of extreme weather events. Accurate and timely forecasts of extreme weather …

Several interrelated variables typically characterize real-world processes, and a time series
cannot be predicted without considering the influence that other time series might have on …

Almonds are one of the most lucrative products of California, but are also among the most
sensitive to climate change. In order to better understand the relationship between climatic …

The Warn-on-Forecast System (WoFS) is a rapidly updating convection-allowing ensemble
focused on providing numerical guidance at watch-to-warning lead times (0-6 hours) …

Word Sense Disambiguation (WSD) aims to help humans figure out what a word means
when used in a certain setting. According to the Neuro Linguistic Programming (NLP) …

Before assimilating the radiance of the geostationary imager into the assimilation system,
correctly characterizing the bias can effectively improve the accuracy of numerical weather …