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Atmospheric science is a fundamental discipline that plays a pivotal role in ensuring a sustainable future by providing scientific insights to effectively address issues related to climate change and air pollution.

The Atmospheric Science Laboratory (ASL) conducts advanced research in weather forecasting and air quality assessment through the application of numerical weather prediction models (e.g., WRF) and chemical transport models (e.g., CMAQ). Recently, artificial intelligence (AI) techniques have been incorporated into the research framework to improve the accuracy, efficiency, and interpretability of model-based analyses.

The ultimate objective in the ASL is to gain a thorough understanding of atmospheric and air quality changes across urban to regional scales, thereby establishing a robust scientific foundation to support effective environmental management, risk assessment, and climate change response.