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Author

Mao-Lin Zhang

2 papers indexed here

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Oct 2026

Fusion-DeepRSM for Satellite-Derived PM2.5 Estimation and Precursor Sensitivity Prediction

Accurate estimation of fine particulate matter (PM2.5) and characterization of precursor-response relationships are crucial for human health protection and air quality management. However, current approaches remain limited by the high computational cost and uncertainties of chemical transport models (CTMs), as well a...

Mao-Lin Zhang, Si-Wei Li, Jia Xing et al. · 0 citations
Sep 2026

Multisource Observation-Constrained Tuning for Air Quality Forecasting in a Machine Learning-Enhanced NOAA Unified Forecast System

This work presents an observation-driven machine learning framework that integrates multisource satellite products, including VIIRS aerosol optical depth and TEMPO NO2 with U.S. EPA AirNow measurements into a machine-learning surrogate of the NOAA Unified Forecast System (DeepAQM).

Jia Xing, You-Hua Tang, Siwei Li et al. · 0 citations

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