Mr. Kristopher Bedka has spent most of his professional career analyzing atmospheric processes and prediction using satellite-, airborne-, and ground-based observations and models. Throughout his career, he has focused on: 1) development, validation, and application of automated satellite-based convective initiation nowcasting, atmospheric motion vector retrieval, ice crystal aircraft icing, overshooting convective cloud top detection, and above anvil plume / enhanced-V signature detection algorithms, 2) development of satellite-based climatologies of hazardous convective storms, 3) cloud microphysical property retrievals using visible light and passive infrared observations, 4) use of airborne lidar wind, aerosol, and water vapor profiling instruments for atmospheric research and satellite instrument calibration and validation, and 5) convectively-induced tropospheric/stratospheric exchange studies. He has authored or co-authored 50+ peer-reviewed publications on these and other topics, and has a Google Scholar h-index of 29 with over 2500 citations of his papers. He has been or is currently the PI for several NASA ROSES projects within the 2015 Severe Weather Research, 2016 NASA Data for Operations and Assessment, 2018 Applied Sciences Disasters, and the 2019 Earth Science Research From Operational Geostationary Satellite Systems programs. He is a Co-I for the NASA Earth Venture-Suborbital Dynamics and Chemistry of the Summer Stratosphere (DCOTSS) mission. He is currently the instrument scientist for the NASA Doppler Aerosol Wind Lidar (DAWN) and was a PI for the April 2019 …
