Total Lightning as an Indicator of Mesocyclone Behavior

摘要: "" ": Studies have documented the relationship between severe weather and total (in-cloud cloud-toground) lightning activity, indicating that in particular may utility for nowcasting weather. In order to maximize its potential operations, data is best integrated through fusion with proven tools. As such, this study lays some of groundwork fusing radar into a multi-sensor algorithm detection forecasting. Specifically, Weather Surveillance Radar-1998 Doppler (WSR-88D) Lightning Mapping Array (LMA) are analyzed supercell thunderstorm events as an initial investigation concept. supercells, updraft plays pivotal role production both storm’s mesocyclone, key signature prediction phenomena observed at ground. low-to-mid-level responsible cloud electrification flash could also contribute tilting environmental horizontal vorticity vertical, subsequent stretching vertical vorticity, development intensification mesocyclone. Because physicaldynamical connection, provide early indication changes strength can herald imminent or strengthening storm's turn, mesocyclone be used signal impending events, it dynamic capability produce hail, damaging winds, possibly tornadoes. Better understanding lightning, mesocyclogenesis, assist forecasters by tipping scales favor against issuing tornado warning event. Case studies storms explore hypothesis activity offer additional, perhaps early, insight phenomena. These include analysis LMA data, WSR-88D output from operational National Severe Storms Laboratory (NSSL) Mesoscyclone Detection Algorithm (MDA), products Warning Decision Support Systems - Integrated Information (WDSS-II) tool, dual-polarization data. Flash rates trends jump algorithm, tool identify rapid increases alongside occurrence, strengthening, rotational characteristics mesocyclones other radar-inferred properties. Using these attributes, preliminary results indicate does exist jumps, local maxima rates, storm associated severity.