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contributor authorBedka, Kristopher M.
contributor authorWang, Cecilia
contributor authorRogers, Ryan
contributor authorCarey, Lawrence D.
contributor authorFeltz, Wayne
contributor authorKanak, Jan
date accessioned2017-06-09T17:36:42Z
date available2017-06-09T17:36:42Z
date copyright2015/06/01
date issued2015
identifier issn0882-8156
identifier otherams-88047.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231784
description abstracthe 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.
publisherAmerican Meteorological Society
titleExamining Deep Convective Cloud Evolution Using Total Lightning, WSR-88D, and GOES-14 Super Rapid Scan Datasets
typeJournal Paper
journal volume30
journal issue3
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-14-00062.1
journal fristpage571
journal lastpage590
treeWeather and Forecasting:;2015:;volume( 030 ):;issue: 003
contenttypeFulltext


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