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Clouds and precipitation / Satellite Meteorology and
Remote sensing
Using multispectral and data fusion approaches to improve our ability to detect and quantify cloud height with passive satellite sensors (GOES ABI, VIIRS); improving detection of multiple layered cloud systems and cloud base for aviation applications
Improving our understanding of global precipitation processes; development of the CloudSat precipitation retrieval (2C-PRECIP-COLUMN)
Cloud and precipitation remote sensing; millimeter wavelength radar and lidar systems (the spaceborne CloudSat and CALIPSO platforms)
Evaluation and improvement of numerical forecast model representations of clouds and precipitation; development of a radar forward model software package to simulate radar reflectivity profiles at microwave frequencies
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Satellite product development
Developing and improving satellite cloud products for GOES ABI and VIIRS for aviation and other operational users
Research and simulations in preparation for GeoXO, NOAA's next-generation geostationary satellite series
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Atmospheric energetics
Use of satellite observations to improve short-term predictions of surface solar irradiance
Some figures I maintain related to Earth's changing climate
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Machine learning / Artificial intelligence
Application of machine learning to atmospheric science problems