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Observing clouds, convection and precipitation with a geostationary microwave sounder
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Automated Detection of Severe Thunderstorm Signatures Within Geostationary Satellite Imagery Using Deep Learning
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Use of Geostationary Infrared, Passive Microwave Imager, and Reanalysis Datasets to Assess Climatological Hailstorm Risk
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Physically-Based Machine Learning Approach to Dust Detection in NASA/NOAA Geostationary Satellite Imagery
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Time Series Machine Learning Methods for Surface PM2.5 Estimations Using Geostationary Satellites and Numerical Weather Models
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Impacts of Geostationary Infrared Sounders in NASA’s Observing System Simulation Experiment Framework
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Connections to Geostationary Air Quality Observations During TRACER-AQ (Houston, TX: Sept 2021)
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Unveiling the Air We Breathe at New Scales: a Focus on Geostationary-like Observations during Airborne Field Campaigns
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Automated Detection of Severe Thunderstorm Signatures Within Geostationary Satellite Imagery Using Deep Learning
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Identifying a NRT Path to Assimilate Geostationary Aerosol Data
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Techniques to Improve the Quality and Interpretation of Geostationary Multispectral Imagery
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Detecting Severe Thunderstorm Signatures Within Geostationary Satellite Imagery Using a Deep Learning Model
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A 3-Channel Algorithm for Retrieving Consistent Cloud Properties Across Different Geostationary Satellites
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