Exploring Lightning Jump CharacteristicsSource: Weather and Forecasting:;2014:;volume( 030 ):;issue: 001::page 23Author:Chronis, T.
,
Carey, Lawrence D.
,
Schultz, Christopher J.
,
Schultz, Elise V.
,
Calhoun, Kristin M.
,
Goodman, Steven J.
DOI: 10.1175/WAF-D-14-00064.1Publisher: American Meteorological Society
Abstract: his study is concerned with the characteristics of storms exhibiting an abrupt temporal increase in the total lightning flash rate [i.e., lightning jump (LJ)]. An automated storm tracking method is used to identify storm ?clusters? and total lightning activity from three different lightning detection systems over Oklahoma, northern Alabama, and Washington, D.C. On average and for different employed thresholds, the clusters that encompass at least one LJ (LJ1) last longer and relate to higher maximum expected size of hail, vertical integrated liquid, and lightning flash rates (area normalized) than do the clusters without an LJ (LJ0). The respective mean radar-derived and lightning values for LJ1 (LJ0) clusters are 80 min (35 min), 14 mm (8 mm), 25 kg m?2 (18 kg m?2), and 0.05 flash min?1 km?2 (0.01 flash min?1 km?2). Furthermore, the LJ1 clusters are also characterized by slower-decaying autocorrelation functions, a result that implies a less ?random? behavior in the temporal flash rate evolution. In addition, the temporal occurrence of the last LJ provides an estimate of the time remaining to the storm?s dissipation. Depending on the LJ strength (i.e., varying thresholds), these values typically range between 20 and 60 min, with stronger jumps indicating more time until storm decay. This study?s results support the hypothesis that the LJ is a proxy for the storm?s kinematic and microphysical state rather than a coincidental value.
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contributor author | Chronis, T. | |
contributor author | Carey, Lawrence D. | |
contributor author | Schultz, Christopher J. | |
contributor author | Schultz, Elise V. | |
contributor author | Calhoun, Kristin M. | |
contributor author | Goodman, Steven J. | |
date accessioned | 2017-06-09T17:36:42Z | |
date available | 2017-06-09T17:36:42Z | |
date copyright | 2015/02/01 | |
date issued | 2014 | |
identifier issn | 0882-8156 | |
identifier other | ams-88048.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4231785 | |
description abstract | his study is concerned with the characteristics of storms exhibiting an abrupt temporal increase in the total lightning flash rate [i.e., lightning jump (LJ)]. An automated storm tracking method is used to identify storm ?clusters? and total lightning activity from three different lightning detection systems over Oklahoma, northern Alabama, and Washington, D.C. On average and for different employed thresholds, the clusters that encompass at least one LJ (LJ1) last longer and relate to higher maximum expected size of hail, vertical integrated liquid, and lightning flash rates (area normalized) than do the clusters without an LJ (LJ0). The respective mean radar-derived and lightning values for LJ1 (LJ0) clusters are 80 min (35 min), 14 mm (8 mm), 25 kg m?2 (18 kg m?2), and 0.05 flash min?1 km?2 (0.01 flash min?1 km?2). Furthermore, the LJ1 clusters are also characterized by slower-decaying autocorrelation functions, a result that implies a less ?random? behavior in the temporal flash rate evolution. In addition, the temporal occurrence of the last LJ provides an estimate of the time remaining to the storm?s dissipation. Depending on the LJ strength (i.e., varying thresholds), these values typically range between 20 and 60 min, with stronger jumps indicating more time until storm decay. This study?s results support the hypothesis that the LJ is a proxy for the storm?s kinematic and microphysical state rather than a coincidental value. | |
publisher | American Meteorological Society | |
title | Exploring Lightning Jump Characteristics | |
type | Journal Paper | |
journal volume | 30 | |
journal issue | 1 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/WAF-D-14-00064.1 | |
journal fristpage | 23 | |
journal lastpage | 37 | |
tree | Weather and Forecasting:;2014:;volume( 030 ):;issue: 001 | |
contenttype | Fulltext |