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Regional aerosol forecasts based on deep learning and numerical weather prediction

Environmental Studies and Forestry

Regional aerosol forecasts based on deep learning and numerical weather prediction

Y. Qiu, J. Feng, et al.

Explore the groundbreaking research by Yulu Qiu and colleagues on Pollution-Predicting Net for PM2.5, a cutting-edge framework that harnesses deep learning for accurate air quality forecasting in the Beijing-Tianjin-Hebei region. Their model not only integrates weather data but also enhances predictions during pollution spikes. Discover how PPN demonstrates superior performance compared to traditional methods!

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