Predicting PM₁₀ is crucial in addressing air pollution in large cities such as Bandung. The WRF-Chem model, commonly used with global emission data, can potentially provide better predictions with regional emission data. Here, we show that although the model ran successfully with regional data, the predictions contain significant errors, suggesting it cannot yet accurately predict PM₁₀ in the Bandung Basin.

Two extreme wind case studies in Tasmania are investigated. The efficacy of a probabilistic wind gust diagnostic, based on ACCESS-CE model output, is assessed in each case. For these events, the diagnostic was found to usefully summarise model information about the timing, intensity and extent of the extreme winds.