The escalating impacts of climate change, manifested through the heightened frequency and severity of extreme weather events around the world, underscore the critical need to advance weather forecast models. The notable success of the Pangu-Weather model and GraphCast in medium-range weather forecasting has revolutionised operational weather forecasts, prompting a paradigm shift towards adopting deep learning-based methods for more accurate climate modelling and predictions. Climate scientists are calling for the utilisation of AI to propel climate modelling on a broader scale (Schneider et al., 2023). Amid these global developments, Hong Kong and the Greater Bay Area are facing their own pressing need to fortify their local forecasting capabilities.