Satellite and Big Data

Satellite and Big Data

A core capability of our center is the integration of satellite remote sensing, in situ observations, emission inventories, and 3-D model data to better characterize atmospheric composition and to iteratively refine these data through data assimilation and emission inversion, using both traditional modeling frameworks and emerging machine-learning techniques. This capability can help reduce the uncertainties of our prediction and analysis based on the big data information and scientific knowledge. 

Projects & Products:

• “Expanding Chemical Data Assimilation System to Support NOAA Unified Forecast System” (NOAA/OAR/JTTI FY20; 2020-2024): POC Youhua Tang 
• “Implement the DeepCTM to Enhance the Performance of the National Air Quality Forecast Capability” (NOAA/OAR/WPO FY25; 2025-2028): POC Youhua Tang 

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