Trajectory-Enhanced AIRS Observations of Environmental Factors Driving Severe Convective StormsSource: Monthly Weather Review:;2019:;volume 147:;issue 005::page 1633DOI: 10.1175/MWR-D-18-0055.1Publisher: American Meteorological Society
Abstract: AbstractWe investigate environmental factors of severe convective weather using temperature and moisture retrievals from the Atmospheric Infrared Sounder (AIRS) that lie along parcel trajectories traced from tornado, large hail, and severe wind producing events in the central United States. We create AIRS proximity soundings representative of the storm environment by calculating back trajectories from storm times and locations at levels throughout the troposphere, using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model forced with the 32-km North American Regional Reanalysis (NARR) and 12-km North American Mesoscale Forecast System (NAM12). The proximity soundings are calculated for severe weather events including tornadoes, hail ≥2 in. diameter, and wind gusts >65 mph (29 m s?1) specified in the NCEI Storm Events database. Box-and-whisker diagrams exhibit more realistic values of enhanced convective available potential energy (CAPE) and suppressed convective inhibition (CIN) relative to conventional ?nearest neighbor? (NN) soundings; however, differences in lifting condensation level (LCL), level of free convection (LFC), and significant tornado parameter (STP) from the HYSPLIT-adjusted back traced soundings are more similar to NN soundings. This methodology should be extended to larger swaths of soundings, and to other operational infrared sounders, to characterize the large-scale environment in severe convective events.
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contributor author | Kalmus, Peter | |
contributor author | Kahn, Brian H. | |
contributor author | Freeman, Sean W. | |
contributor author | van den Heever, Susan C. | |
date accessioned | 2019-10-05T06:53:57Z | |
date available | 2019-10-05T06:53:57Z | |
date copyright | 3/4/2019 12:00:00 AM | |
date issued | 2019 | |
identifier other | MWR-D-18-0055.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4263774 | |
description abstract | AbstractWe investigate environmental factors of severe convective weather using temperature and moisture retrievals from the Atmospheric Infrared Sounder (AIRS) that lie along parcel trajectories traced from tornado, large hail, and severe wind producing events in the central United States. We create AIRS proximity soundings representative of the storm environment by calculating back trajectories from storm times and locations at levels throughout the troposphere, using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model forced with the 32-km North American Regional Reanalysis (NARR) and 12-km North American Mesoscale Forecast System (NAM12). The proximity soundings are calculated for severe weather events including tornadoes, hail ≥2 in. diameter, and wind gusts >65 mph (29 m s?1) specified in the NCEI Storm Events database. Box-and-whisker diagrams exhibit more realistic values of enhanced convective available potential energy (CAPE) and suppressed convective inhibition (CIN) relative to conventional ?nearest neighbor? (NN) soundings; however, differences in lifting condensation level (LCL), level of free convection (LFC), and significant tornado parameter (STP) from the HYSPLIT-adjusted back traced soundings are more similar to NN soundings. This methodology should be extended to larger swaths of soundings, and to other operational infrared sounders, to characterize the large-scale environment in severe convective events. | |
publisher | American Meteorological Society | |
title | Trajectory-Enhanced AIRS Observations of Environmental Factors Driving Severe Convective Storms | |
type | Journal Paper | |
journal volume | 147 | |
journal issue | 5 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/MWR-D-18-0055.1 | |
journal fristpage | 1633 | |
journal lastpage | 1653 | |
tree | Monthly Weather Review:;2019:;volume 147:;issue 005 | |
contenttype | Fulltext |