Examining Deep Convective Cloud Evolution Using Total Lightning, WSR-88D, and GOES-14 Super Rapid Scan Datasets

• Published in: Weather and forecasting Vol. 30; no. 3; pp. 571 - 590
• Main Authors: Bedka, Kristopher M, Wang, Cecilia, Rogers, Ryan, Carey, Lawrence D, Feltz, Wayne, Kanak, Jan
• Format: Journal Article
• Language: English
• Published: Boston American Meteorological Society 01.06.2015
• Subjects: Anvil clouds; Anvils; Clouds; Cold; Convective clouds; Convective storms; Cooling; Datasets; Echoes; GOES satellites; Gusts; Hail; Hail damage; Lead time; Lightning; Lightning flashes; Meteorology; Plumes; Precipitation; Radar; Radar data; Radar echoes; Radiation; Satellite imagery; Satellite observation; Satellites; Severe storms; Severe weather; Storm damage; Storm forecasting; Storms; Studies; Temporal resolution; Tornadoes; Updraft; Weather; Wind; Wind damage; United States > US
• ISSN: 0882-8156; 1520-0434
• DOI: 10.1175/WAF-D-14-00062.1

The Geostationary Operational Environmental Satellite-14 (GOES-14) Imager operated in 1-min Super Rapid Scan Operations for GOES-R (SRSOR) mode during summer and fall of 2012 to emulate the high temporal resolution sampling of the GOES-R Advanced Baseline Imager (ABI). The current GOES operational scan interval is 15-30 min, which is too coarse to capture details important for severe convective storm forecasting including 1) when indicators of a severe storm such as rapid cloud-top cooling, overshooting tops, and above-anvil cirrus plumes first appear; 2) how satellite-observed cloud tops truly evolve over time; and 3) how satellite cloud-top observations compare with radar and lightning observations at high temporal resolution. In this paper, SRSOR data, radar, and lightning observations are used to analyze five convective storms, four of which were severe, to address these uncertainties. GOES cloud-top cooling, increased lightning flash rates, and peak precipitation echo tops often preceded severe weather, signaling rapid intensification of the storm updraft. Near the time of several severe hail or damaging wind events, GOES cloud-top temperatures and radar echo tops were warming rapidly, which indicated variability in the storm updraft that could have allowed the hail and wind gusts to reach the surface. Above-anvil cirrus plumes were another prominent indicator of impending severe weather. Detailed analysis of storms throughout the 2012 SRSOR period indicates that 57% of the plume-producing storms were severe and 85% of plumes from severe storms appeared before a severe weather report with an average lead time of 18 min, 9 min earlier than what would be observed by GOES operational scanning.