Relationships between Deep Convection Updraft Characteristics and Satellite-Based Super Rapid Scan Mesoscale Atmospheric Motion Vector–Derived FlowSource: Monthly Weather Review:;2018:;volume 146:;issue 010::page 3461Author:Apke, Jason M.
,
Mecikalski, John R.
,
Bedka, Kristopher
,
McCaul, Eugene W.
,
Homeyer, Cameron R.
,
Jewett, Christopher P.
DOI: 10.1175/MWR-D-18-0119.1Publisher: American Meteorological Society
Abstract: AbstractRapid acceleration of cloud-top outflow near vigorous storm updrafts can be readily observed in Geostationary Operational Environmental Satellite-14 (GOES-14) super rapid scan (SRS; 60 s) mode data. Conventional wisdom implies that this outflow is related to the intensity of updrafts and the formation of severe weather. However, from an SRS satellite perspective, the pairing of observed expansion and updraft intensity has not been objectively derived and documented. The goal of this study is to relate GOES-14 SRS-derived cloud-top horizontal divergence (CTD) over deep convection to internal updraft characteristics, and document evolution for severe and nonsevere thunderstorms. A new SRS flow derivation system is presented here to estimate storm-scale (<20 km) CTD. This CTD field is coupled with other proxies for storm updraft location and intensity such as overshooting tops (OTs), total lightning flash rates, and three-dimensional flow fields derived from dual-Doppler radar data. Objectively identified OTs with (without) matching CTD maxima were more (less) likely to be associated with radar-observed deep convection and severe weather reports at the ground, suggesting that some OTs were incorrectly identified. The correlation between CTD magnitude, maximum updraft speed, and total lightning was strongly positive for a nonsupercell pulse storm, and weakly positive for a supercell with multiple updraft pulses present. The relationship for the supercell was nonlinear, though larger flash rates are found during periods of larger CTD. Analysis here suggests that combining CTD with OTs and total lightning could have severe weather nowcasting value.
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contributor author | Apke, Jason M. | |
contributor author | Mecikalski, John R. | |
contributor author | Bedka, Kristopher | |
contributor author | McCaul, Eugene W. | |
contributor author | Homeyer, Cameron R. | |
contributor author | Jewett, Christopher P. | |
date accessioned | 2019-09-19T10:05:05Z | |
date available | 2019-09-19T10:05:05Z | |
date copyright | 8/24/2018 12:00:00 AM | |
date issued | 2018 | |
identifier other | mwr-d-18-0119.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4261340 | |
description abstract | AbstractRapid acceleration of cloud-top outflow near vigorous storm updrafts can be readily observed in Geostationary Operational Environmental Satellite-14 (GOES-14) super rapid scan (SRS; 60 s) mode data. Conventional wisdom implies that this outflow is related to the intensity of updrafts and the formation of severe weather. However, from an SRS satellite perspective, the pairing of observed expansion and updraft intensity has not been objectively derived and documented. The goal of this study is to relate GOES-14 SRS-derived cloud-top horizontal divergence (CTD) over deep convection to internal updraft characteristics, and document evolution for severe and nonsevere thunderstorms. A new SRS flow derivation system is presented here to estimate storm-scale (<20 km) CTD. This CTD field is coupled with other proxies for storm updraft location and intensity such as overshooting tops (OTs), total lightning flash rates, and three-dimensional flow fields derived from dual-Doppler radar data. Objectively identified OTs with (without) matching CTD maxima were more (less) likely to be associated with radar-observed deep convection and severe weather reports at the ground, suggesting that some OTs were incorrectly identified. The correlation between CTD magnitude, maximum updraft speed, and total lightning was strongly positive for a nonsupercell pulse storm, and weakly positive for a supercell with multiple updraft pulses present. The relationship for the supercell was nonlinear, though larger flash rates are found during periods of larger CTD. Analysis here suggests that combining CTD with OTs and total lightning could have severe weather nowcasting value. | |
publisher | American Meteorological Society | |
title | Relationships between Deep Convection Updraft Characteristics and Satellite-Based Super Rapid Scan Mesoscale Atmospheric Motion Vector–Derived Flow | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 10 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/MWR-D-18-0119.1 | |
journal fristpage | 3461 | |
journal lastpage | 3480 | |
tree | Monthly Weather Review:;2018:;volume 146:;issue 010 | |
contenttype | Fulltext |