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Validation of Satellite-Based Objective Overshooting Cloud-Top Detection Methods Using CloudSat Cloud Profiling Radar Observations

Source: Journal of Applied Meteorology and Climatology:;2012:;volume( 051 ):;issue: 010:;page 1811

Author(s): Bedka, Kristopher M.; Dworak, Richard; Brunner, Jason; Feltz, Wayne

Publisher: American Meteorological Society

Abstract: wo satellite infrared-based overshooting convective cloud-top (OT) detection methods have recently been described in the literature: 1) the 11-?m infrared window channel texture (IRW texture) method, which uses IRW channel ...

Comparison between GOES-12 Overshooting-Top Detections, WSR-88D Radar Reflectivity, and Severe Storm Reports

Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 003:;page 684

Author(s): Dworak, Richard; Bedka, Kristopher; Brunner, Jason; Feltz, Wayne

Publisher: American Meteorological Society

Abstract: tudies have found that convective storms with overshooting-top (OT) signatures in weather satellite imagery are often associated with hazardous weather, such as heavy rainfall, tornadoes, damaging winds, and large hail. ...

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

Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;issue: 002:;page 181

Author(s): Bedka, Kristopher; Brunner, Jason; Dworak, Richard; Feltz, Wayne; Otkin, Jason; Greenwald, Thomas

Publisher: American Meteorological Society

Abstract: Deep convective storms with overshooting tops (OTs) are capable of producing hazardous weather conditions such as aviation turbulence, frequent lightning, heavy rainfall, large hail, damaging wind, and tornadoes. This paper ...

A Quantitative Analysis of the Enhanced-V Feature in Relation to Severe Weather

Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 004:;page 853

Author(s): Brunner, Jason C.; Ackerman, Steven A.; Bachmeier, A. Scott; Rabin, Robert M.

Publisher: American Meteorological Society

Abstract: Early enhanced-V studies used 8-km ground-sampled distance and 30-min temporal-sampling Geostationary Operational Environmental Satellite (GOES) infrared (IR) imagery. In contrast, the ground-sampled distance of current ...

A Deep-Learning Model for Automated Detection of Intense Midlatitude Convection Using Geostationary Satellite Images

Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 006:;page 2567

Author(s): Cintineo, John L.;Pavolonis, Michael J.;Sieglaff, Justin M.;Wimmers, Anthony;Brunner, Jason;Bellon, Willard

Publisher: American Meteorological Society

NOAA ProbSevere v2.0—ProbHail, ProbWind, and ProbTor

Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 004:;page 1523

Author(s): Cintineo, John L.;Pavolonis, Michael J.;Sieglaff, Justin M.;Cronce, Lee;Brunner, Jason

Publisher: American Meteorological Society

The NOAA/CIMSS ProbSevere Model: Incorporation of Total Lightning and Validation

Source: Weather and Forecasting:;2018:;volume 033:;issue 001:;page 331

Author(s): Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M.; Lindsey, Daniel T.; Cronce, Lee; Gerth, Jordan; Rodenkirch, Benjamin; Brunner, Jason; Gravelle, Chad

Publisher: American Meteorological Society

Abstract: AbstractThe empirical Probability of Severe (ProbSevere) model, developed by the National Oceanic and Atmospheric Administration (NOAA) and the Cooperative Institute for Meteorological Satellite Studies (CIMSS), automatically ...