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This case study investigates the coupling of CMAQ with global dust models and its impact on air quality predictions. Current operational WRF-NMM/CMAQ forecasts rely on static profile lateral boundary conditions (LBC), which may limit accuracy. Our findings indicate that incorporating dynamic ozone LBCs from global models significantly influences air quality forecasts, particularly in the upper and middle troposphere. We examine the broader implications for particulate matter prediction, highlighting the importance of using dynamic models for improved atmospheric forecasting.
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