Objective Satellite-Based Detection of Overshooting Tops Using Infrared Window Channel Brightness Temperature Gradients

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A Closer Look at the ABI on the GOES-R Series (2017, methodology): “Many uses of these SRSOR data have been demonstrated, both in the research and operational environments (Bedka et al. 2010; Dworak et al. 2012; Bedka et al. 2015; Mecikalski et al. 2016; Line et al. 2016; Apke et al. 2016;).”
Overshooting cloud top detections using MSG SEVIRI Infrared brightness temperatures and their relationship to severe weather over Europe (2011, methodology): “For example, Bedka et al. (2010) found that the number of detected OTs decreases from 17 to 3 when 1 kmMODIS is replaced with 4 km GOES-12 imagery for one event over the continental U.S.”
Understanding Hail in the Earth System (2020, methodology): “Satellite-derived techniques have evolved to also address the limitations of in situ observations (e.g., Bedka et al., 2010; Bedka, Murillo, et al., 2018; Punge et al., 2017).”
Comparison between GOES-12 Overshooting-Top Detections, WSR-88D Radar Reflectivity, and Severe Storm Reports (2012, methodology): “The accuracy of this so-called IRW-texture method has been quantiﬁed relative to OT signatures depicted in National Aeronautics and Space Administration (NASA) CloudSat Cloud Proﬁling Radar (CPR) data and cloud-resolving NWP model output (Bedka et al. 2010; Bedka et al. 2012).”