Determining Relationships between Lightning and Radar in Severe and Non-Severe Storms Scott D. Rudlosky Florida State University Department of Earth, Ocean,

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Presentation transcript:

Determining Relationships between Lightning and Radar in Severe and Non-Severe Storms Scott D. Rudlosky Florida State University Department of Earth, Ocean, and Atmospheric Science 3 rd Annual GLM Science Meeting Friday 3 December 2010

Dissertation Research Three Part Study Investigate the influence of environmental conditions on CG and IC lightning distributions First two manuscripts have been accepted by Monthly Weather Review 1) NLDN Upgrade and National CG Distributions Document regional CG patterns and investigate the influence of the recent upgrade 2) Florida’s CG Distributions Examine seasonal and regional CG patterns 3)Storms in the Mid-Atlantic Region Investigate storm-scale variability in many storms

Case Study May 2007 Much of Florida was experiencing a severe drought as a surface cold front approached the area Okefenokee wildfires were producing widespread smoke Two distinct regions of storms Drier environment to the north Sea-breeze induced convergence to the south 11 May May 2007 Both regions initiate wildfires and produce severe weather

Storms nearest the active wildfires produce predominately +CG flashes Smoke-enhanced +CG production Observed in storms directly associated with the source fires, and also in storms at long distances down wind Reversed polarity charging likely is related to… Strong updrafts (less entrainment) Smoke-related CCN (larger, but fewer) increased competition Greater supercooled water content in the mixed phase region Strong +CG flashes often exhibit both large I p and LCC Northern Storms Southern Storms Red = +CG Blue = -CG

Research Objectives Determine relationships between lightning and radar to better differentiate between severe and non-severe storms Examine environmental influences on storm structure, severity, and lightning production in the Mid-Atlantic region Compute correlations between CG and IC characteristics, and also between lightning and radar parameters Investigate how storm structure (isolated vs. line/multicell) influences lightning production and its relation to storm severity Compare IC products at 2×2 and 8×8 km resolutions with both CG lightning and radar-derived parameters to investigate the suitability of the coarser GLM resolution

Warning Decision Support System Generate lightning and radar products NLDN, LDAR/LMA, GLM-FED RUC-derived near-storm environment WSR-88D, plus merged parameters Identify and track individual storm cells Track total lightning and radar parameters within individual storms Many variations of parameters Prepare storm database Automated procedures Statistical analyses of many lightning and radar-derived parameters Reflectivity at -20 C K-means Clusters Composite Reflectivity Cluster IDs Flash Initiation Density Flash Extent Density

Study Overview Introduces our analysis methods and the resulting storm database Many storms on 61 case study days Compare and Contrast Severe versus Non-Severe Isolated versus Line/Multicell Total Storms = 1697 (1242) 59,869 (34,953) 2-min points = 1995 h Average duration = 61 min 471 Severe 1217 Non-Severe Mid-Atlantic Study Domain Sample size (N) strongly influences our statistical results

Synoptic and mesoscale systems influence storm distributions Manual inspection of all 1697 storms revealed several recurring features Spatial GIS plots illustrate these features Help identify locations where synoptic and mesoscale lifting mechanisms most often combine to support severe storm initiation Average Hour (UTC) Average hour shows the importance of diurnal heating in this region Isolated (severe) storms occur most frequently over central Maryland Line/Multicell PercentageSevere Percentage

Storms exhibit considerable variability within the Mid-Atlantic Region Storm Interaction Proximity of cells effects the IC/CG ratio Varying lifecycle stages Isolated Storms Large IC/CG ratio Less frequent CG Line/Multicell Storms More frequent CG Most common in the coastal regions -CG Characteristics Greatest in coastal regions and line/multicell storms 0047 UTC 0054 UTC IC Flash Extent Density-CG Flash Density -CG Multiplicity-CG Peak Current

Both lightning and radar characteristics are indicative of storm intensity Histograms can provide a first guess if a storm is severe or not Scatter plots reveal differences between severe and non-severe storms, but show similar relationships between lightning and radar Non- Severe Storm Points Severe Storm Points IC-FEDMESH (mm)IC-FED versus MESH

Correlations identify relationships between lightning and radar parameters Confirmed several relationships that previously had only been documented in relatively few storms Flash-based IC products are better correlated with CG lightning and radar-derived parameters than are source-based products MESH, a composite of several radar parameters, is better correlated with IC–FED (0.542) than –CG flash density (0.482) Strong correlation between 2×2 km and 8×8 km IC-FED (0.935) Both resolutions are similarly correlated with CG and radar parameters Suggests that the GLM will provide valuable storm-scale IC information comparable to the 2–D information provided by local LMA networks

Additional Results Similar relationships exist between IC, CG, and radar-derived parameters in both severe and non-severe storms +CG peak current is inversely correlated with IC lightning and radar-derived measures of storm intensity -CG multiplicity and I p are inversely related on the storm scale, and are greatest in deep (line/multicell) storms Although IC products appear necessary to diagnose the severity of isolated storms, –CG characteristics might help diagnose the severity of line/multicell storms

Summary Demonstrated our ability to examine many lightning and radar parameters in a large number of storms Revealed storm-scale relationships between CG and IC characteristics, and also between lightning and radar parameters Identified differences between isolated and line/multicell storms Showed that individual lightning and radar parameters can help determine the likelihood that a given storm is severe Combinations of CG and IC datasets will ensure that these data are used to best advantage both now and in the future

Ongoing Research Future research topics Determine the proper sample size – time scale of independence Establish an IC correction factor to expand our domain Examine more specifically defined structure and severity categories Develop a probabilistic measure of storm severity Analysis of IC and CG lightning and their relation to specific atmospheric conditions and storm-scale processes will help provide for a smooth transition to GLM operations