1. Introduction
Flash rates and changes in the flash rate are the primary lightning properties related to storm intensity within the literature. Both total flash rate (TFR) and cloud-to-ground (CG) flash rate have been used to assess the potential for a storm to produce severe weather [e.g., Goodman et al. (1988); MacGorman et al. (1989); Williams et al. (1999); Schultz et al. (2011) and references contained within]. Rapid increases in total lightning (i.e., lightning jumps) are well correlated to increased severe weather potential (e.g., Williams et al. 1999; Schultz et al. 2009, 2011; Gatlin and Goodman 2010; Rudlosky and Fuelberg 2013; Stano et al. 2014). Despite showing strong correlation between lightning jumps and severe weather occurrence, none of the aforementioned studies above provides direct measurements of updraft and microphysical properties at the time of a lightning jump. Thus, the reader is left to infer that the thunderstorm’s updraft must increase in size and/or magnitude for a lightning jump to occur based on previously reported evidence linking upward trends in kinematic and microphysical properties to increases in total flash rate (e.g., Carey and Rutledge 1996; Lang and Rutledge 2002; Tessendorf et al. 2005; Kuhlman et al. 2006; Deierling and Petersen 2008).
Certainly, numerous studies illustrate good correlation between updraft volume, precipitation mass ice production, and flash rate (e.g., Workman and Reynolds 1949; Dye et al. 1989; Rutledge et al. 1992; Zipser and Lutz 1994; Carey and Rutledge 2000; Boccippio 2002; Lang and Rutledge 2002; Cecil et al. 2005). However, fewer studies provide direct measurements of storm kinematics (particularly updraft properties) and microphysics specifically at the time of lightning jumps (e.g., Carey and Rutledge 1996; Tessendorf et al. 2005; Wiens et al. 2005; Deierling and Petersen 2008; Lund et al. 2009; Calhoun et al. 2013). None of these studies analyzed the impact of these properties in the development of lightning jumps. Additional works in combination provide kinematic and microphysical observations and total lightning observations of the same storm (e.g., Goodman et al. 1988; Tuttle et al. 1989). Furthermore, debate still exists over which updraft property is best correlated to total flash rate. Lang and Rutledge (2002), Kuhlman et al. (2006), and Deierling and Petersen (2008) demonstrate that updraft volume is the kinematic parameter that is consistently well correlated to total flash rate, while Barthe et al. (2010) observed that peak updraft speed was better correlated to the total flash rate than updraft volume when modeling the same storms from Deierling and Petersen (2008).
There are lightning characteristics beyond flash rate that provide information on the internal kinematic and microphysical structure of thunderstorms. Recent work by Bruning and MacGorman (2013) explored the inverse relationship between flash rate and flash area using lightning mapping array data. Bruning and MacGorman provide theoretical arguments for initial breakdown, flash propagation (i.e., extent) and termination using the vector electric field, and the potential and the charge density. Bruning and MacGorman (2013) examined two supercell thunderstorms and showed how the mean and median flash areas decreased as the flash count increased and provided an estimate of the total electrical energy being produced by the storm. Both Bruning and MacGorman (2013) and Calhoun et al. (2013) postulated that the inverse flash rate–extent relationship is an indicator of the kinematic texture of the storms updraft (turbulent vs laminar) using the hypothesis that the regions of the storm with the highest flash rates and smallest flash extents are closest to the strongest, most turbulent updrafts.
Recent observations by Calhoun et al. (2014) demonstrate that operational weather forecasters rate information on a thunderstorm’s updraft as one of the highest priorities when making warning decisions. Linkages between lightning jumps and storm kinematics and microphysics provide the necessary bridge by which the forecaster can assess a storm’s mixed-phase updraft strength using lightning data. Herein, physical and dynamical ties between lightning characteristics, lightning jump, and storm morphology are discussed using highly detailed case studies of four thunderstorms specifically centered on the time of lightning jump occurrences. The analysis techniques utilize polarimetric, multi-Doppler, and total lightning observations during storm intensification to compare time trends of updraft volume, maximum updraft speed, graupel volume, graupel mass, and total flash rate at the time of lightning jumps within these four thunderstorms. Additionally, updraft characteristics from the multi-Doppler synthesis are used to investigate the inverse total flash rate and flash extent relationship that should be present at the time of the initial rapid increases in total lightning based on the arguments provided by Bruning and MacGorman (2013).
2. Data and methodology
Multiple datasets and analysis techniques are outlined below that are necessary in relating total lightning to kinematic and microphysical observations. The study domain is northern Alabama and south-central Tennessee, where total lightning, polarimetric, and multi-Doppler observations are all available. The cases chosen are four thunderstorms from a variety of morphologies: an ordinary nonjump thunderstorm (e.g., Bringi et al. 1997), a pulse severe multicellular thunderstorm (e.g., Goodman et al. 1988; Williams et al. 1989), an intensifying portion of a quasi-linear convective system (QLCS; Houze 1989; Carey et al. 2005; Coniglio et al. 2011), and the rapid transition from a multicellular thunderstorm to a supercell thunderstorm (e.g., Vasiloff et al. 1986; Stano et al. 2014).
a. Radar data
The University of Alabama in Huntsville’s (UAH) Advanced Radar for Operational Research (ARMOR; Schultz et al. 2012; Knupp et al. 2014) and the National Weather Service’s (NWS) radar located at Hytop, Alabama (KHTX; Crum and Alberty 1993), are used for this analysis. When their measurements are combined, three-dimensional retrieval of velocity and bulk characterization of hydrometeor type within a thunderstorm is possible. ARMOR is a polarimetric C-band radar owned and operated collaboratively by UAH and WHNT-TV in Huntsville, Alabama. ARMOR is located at Huntsville International Airport and is operational 24 h a day, seven days a week. ARMOR can be taken out of its default three-tilt scanning mode to collect volumetric data for research analysis. ARMOR has a 1° beamwidth and is run in simultaneous transmit and receive mode (STAR; Scott et al. 2001). KHTX is an S-band radar that was upgraded to polarimetric capabilities in early 2012. KHTX also operates in STAR, has a beamwidth near 1°, and provides radar volume updates every 4–6 min.
Radar data are corrected for attenuation and differential attenuation (Bringi et al. 2001) and aliased velocities are unfolded using the National Center for Atmospheric Research’s (NCAR) SOLO, version 3 (Oye et al. 1995), by manual inspection. During this step, ground clutter and sidelobe and second-trip echoes are also removed. Data are then gridded onto a Cartesian coordinate system centered on ARMOR’s location of 34.646 198°N, 86.771 500°W using a grid resolution of 1 km × 1 km × 1 km on a grid of 300 km × 300 km × 19 km (X, Y, Z). A Cressman weighting scheme is implemented using 1-km radius of influence centered at each grid point with NCAR’s REORDER software (Oye and Case 1995). Additional manipulation of the data for vertical velocity retrieval and identification of precipitation using polarimetric information is outlined below.
1) Multiple Doppler
Analyses of updraft speed and volume are limited to the mixed-phase region of the thunderstorm (i.e., between the −10° and −40°C isotherms) because the mixed-phase region is where charge development and separation takes place to ultimately lead to electrical breakdown (e.g., Dye et al. 1986; Carey and Rutledge 1996; Bringi et al. 1997; Deierling and Petersen 2008; Calhoun et al. 2013). Updraft volumes above 10 and 15 m s−1 and the 98th percentile and maximum updraft speeds are computed from the multi-Doppler Cartesian grids for the entire storm. The 98th percentile updraft speed is used as a quality control metric for the reader to better understand the behavior in the trend of maximum updraft speed (a point measurement).
The multi-Doppler analysis domain provided temporal bounds for the analysis windows chosen for each case. All radar volumes are used when each thunderstorm is located within the line of constant 1.5-km resolution1 for multi-Doppler lobe configuration (Fig. 1a), the storm is located inside of the 30° beam-crossing angle (Fig. 1b), and the storm’s tallest 0-dBZ echo is covered by both KHTX and ARMOR (Fig. 1). The primary focus for this analysis is on lightning jump times. Work by Schultz (2015) has examined trends in kinematic and microphysical properties prior to all increases in total flash rate, and these results are the subject of a future manuscript.
2) Graupel volume and mass calculations
Particle identification is performed using ARMOR data and NCAR’s particle identification (PID) algorithm (Vivekanandan et al. 1999) modified for C-band observations (Deierling et al. 2008; Johnson 2009). This study is specifically interested in graupel identification because of graupel’s strong tie to electrification and lightning production in thunderstorms (e.g., Carey and Rutledge 1996; Saunders et al. 2006; Deierling et al. 2008). NCAR’s PID has two categories of graupel: graupel–small hail and graupel–hail–rain mix. Both Deierling et al. (2008) and Bain (2013) found that inclusion of the graupel–hail–rain mix category did not significantly increase correlations between graupel mass and total flash rate in four thunderstorms in northern Alabama; thus, only the graupel–small hail category was used. Particle identification is performed in 1 km3 boxes, and the graupel volume is simply the number of boxes identified between −10° and −40°C.
3) Thunderstorm tracking
Objective storm tracking by the Thunderstorm, Identification, Tracking, Analysis, and Nowcasting (TITAN; Dixon and Wiener 1993) algorithm is used to compute storm position and size for each of the storms examined. Thunderstorms are tracked through space and time at the −10°C level, and TITAN output includes the latitude center, longitude center, and a major axis for every radar volume when a feature is observed at the temperature level. This position information is then used to constrain other measurement fields like flash rate, kinematic and microphysical properties, severe storm reports, maximum reflectivity, azimuthal shear, maximum expected size of hail (MESH; Witt et al. 1998; Cintineo et al. 2012), and vertically integrated liquid (VIL; Greene and Clarke 1972) to individual storms for trend analysis. Maximum reflectivity, azimuthal shear, MESH, and VIL values are each calculated using the algorithms contained within the Warning Decision Support System–Integrated Information (WDSS-II; Lakshmanan et al. 2006) software package using data from KHTX. All severe thunderstorm reports used in these cases are from the National Climatic Data Center’s Storm Data archive.
b. Lightning data
Total lightning information is collected by the North Alabama Lightning Mapping Array (NALMA; Koshak et al. 2004; Goodman et al. 2005). NALMA is an 11-station array operating between 76 and 82 MHz that is centered at the National Space Science and Technology Center on the campus of UAH. The peak power of very high frequency (VHF) radiation source points is associated with electrical breakdown and mapped in three dimensions every 80 μs. VHF source points are combined into corresponding flashes using a flash-clustering algorithm developed by McCaul et al. (2009). A flash must have a minimum of 10 VHF source points to be considered in this analysis. Flashes are assigned to each storm if their first VHF source point fell within the TITAN-identified storm footprint.
1) The lightning jump
The advantage of this new presentation of the lightning jump algorithm information is twofold. First, this presentation method provides a continuous color-coded visual representation of all flash rate increases relative to the storm’s recent flash rate history (Calhoun 2015). Therefore, the lightning jump output is not limited to a single time when a jump has occurred like the previous visualization of the algorithm, allowing the end user to have the flexibility to understand how all increases in total flash rate compare to each other in time within a single thunderstorm. Furthermore, the magnitude of the sigma level can be used to assess the significance of the flash rate increase within the storm (e.g., 2σ- vs 8σ-level increase). Sigma-level occurrences of 2.0 and higher are the focus for this paper because they represent a lightning jump. Current work by Schultz (2015) illustrates the kinematic and microphysical changes at all positive sigma levels (i.e., any flash rate increase) and addresses the physical–dynamical significance of the 2σ level beyond the case study analysis of this paper.
2) Flash size versus flash rate
Flash area (i.e., flash footprint) calculations are made using the convex hull methodology outlined in Bruning and MacGorman (2013).3 Mean and median storm-based flash footprint sizes are calculated in 2-min increments during the analysis window. Additionally, vertical cross sections of mean flash footprint size (km2) are created to illustrate the spatial proximity of flash size to updraft location, updraft intensity, and reflectivity features [e.g., bounded weak-echo regions (BWER); overshooting echo tops]. The location of each cross-sectional slice is centered on the strongest updraft magnitude within the storm. Flashes within 3 min and ±5 km of this cross-sectional slice (into and out of the page) are used to calculate mean flash size in the two-dimensional cross section. Thus, each 1 km × 1 km pixel in the cross section represents a volume of 1 km × 1 km × 10 km in three-dimensional space. Each flash that passes through the 1 km × 1 km × 10 km volume is used to determine the value of the mean flash size of each pixel in the vertical cross sections.
3. Results
The observations below are used to demonstrate the connection between lightning characteristics, lightning jumps, and radar-based observations of storm intensity. Detailed examples within this work contain kinematic and microphysical trends at times of lightning jumps (i.e., sigma levels ≥2). Included are cases from a nonsevere and nonjump multicellular storm, a severe multicellular thunderstorm that contains lightning jumps, a rapidly intensifying segment of a QLCS, and a developing supercell.
a. Case 1: Ordinary thunderstorm without a lightning jump
Presented here is a case from 11 June 2012 during the Deep Convective Clouds and Chemistry Experiment (DC3; Barth et al. 2014; see Fig. 2). The largest increase in the total flash rate with this storm is 2 flashes min−2 at 1928 UTC and this time is the focus of this analysis. During the 14 min prior to the maximum increase, the 10 m s−1 updraft volume within the mixed-phase region increases from 16 to 123 km3, the 15 m s−1 volume increases from 0 to 25 km3, and the mixed-phase graupel mass doubles from 2.1 × 107 to 4.42 × 107 kg (Fig. 3; Tables 1 and 2). The 10 m s−1 updraft volume increases by 6.5 times its original size between 1914 and 1924 UTC (Fig. 3b). Peak (98th percentile) updraft speeds also increase from 11.6 (9.8) to 16.9 (14.2) m s−1 between 1914 and 1933 UTC (Fig. 3c).
Microphysical changes in storm properties during the 15 min prior to the times of sigma levels ≥2 or max increase in flash rate. Total flash rate (flashes min−1), sigma level, graupel volume Gvol (km3), change in graupel volume ΔGvol (km3), graupel mass Gmass (kg), and change graupel mass ΔGmass (kg) during previous 15 min prior to the jump time are all computed. Both Gvol and Gmass are measured between the −10° and −40°C isotherm heights. Numbers in parentheses identify the lightning jump examined in the analysis.
Kinematic changes in storm properties during the 15 min prior to the times of sigma levels ≥2 or max increase in flash rate. Total flash rate (flashes min−1), sigma level, 10 m s−1 updraft volume w10 (km3), change in 10 m s−1 updraft volume Δw10 (km3), max vertical velocity wMax (m s−1), and change in max vertical velocity ΔwMax (m s−1) during the previous 15 min prior to the jump time are all computed. Updraft volumes are measured between the −10° and −40°C isotherm heights. Numbers in parentheses identify the lightning jump examined in the analysis.
Radar-based intensity metrics used for severe storm analysis show this storm has low potential for producing severe weather (Fig. 4). A slight increase in height of the 50-dBZ reflectivity isosurface is noted during the time of the increase in the total flash rate as seen with cases that contained lightning jumps (e.g., Schultz et al. 2011; Metzger and Nuss 2013; Fig. 4a). In fact, the peak reflectivity for this storm during the period does not exceed 55 dBZ. An upward trend occurs in the MESH from 14 to 25 mm and VIL rises from 16 to 28 kg m−2 between 1928 and 1933 UTC (Fig. 4b).
A modest decrease in both median and mean flash size is observed during the increase in updraft properties during this same period (Fig. 5). Between 1919 and 1927 UTC the average mean and median flash areas are 61.7 and 59.6 km2, respectively. During the period in which the flash rate increases (1927–1931 UTC) the averages of the mean and median flash areas fall to 49.7 and 47.0 km2, respectively.
Cross sections at 1919 and 1928 UTC also provide spatial context to this reduction in the flash footprint (Fig. 6). At 1919 UTC the mean flash footprints near the 5 m s−1 updraft core are on the order of ≤20 km2, while larger flash footprints on the order of 30–60 km2 are found downwind from the updraft (Fig. 6a). As the updraft speed, updraft volume, and total flash rate increase at 1928 UTC, the number of 1-km2 footprint regions that contain mean flash areas below 20 km2 increases from 16 to 45 pixels (Fig. 6c). The number of flashes per pixel also increases by as much as 10 flashes per pixel (Fig. 6d), illustrating the collocation between smaller flash sizes and the location of higher total flash rates.
b. Case 2: Multicellular thunderstorm with a lightning jump
This case captures the rapid intensification of a 1.9-cm hail-producing multicellular cluster over northern Alabama on 3 May 2006 (Fig. 7). The analysis period for this multicellular cluster runs between 2114 and 2144 UTC. This first lightning jump within this multicellular cluster occurs at 2128 UTC. A sigma level of 2.72 was registered as the total flash rate increases from 3 to 10 flashes min−1. Prior to 2130 UTC the peak 10 m s−1 volume was 40 km3 and the peak graupel mass was 2 × 107 kg. The largest 10 m s−1 volume change is 30 km3, and the largest change in graupel mass was 4 × 106 kg (Fig. 8). The 55-dBZ reflectivity isosurface maximum height grows from 2 to 5 km in the 15 min prior to jump occurrence, and a 60-dBZ isosurface emerges at the 2-km level by 2136 UTC (Fig. 9). MESH increases to 30 mm just prior to the first lightning jump at 2128 UTC as the 55-dBZ isosurface grows to 5 km and maintains its height between 2116 and 2126 UTC. Zero hail reports are received from this multicellular cluster at this time.
At 2133 UTC, new storm growth (X = 14 km, Y = 20 km) begins southeast of the existing mature convection (X = 8 km, Y = 28 km) in this multicellular cluster (Fig. 7a). At 2133 UTC two flashes initiate within the location of weaker vertical motion (w < 10 m s−1; Y = 30 km, Z = 4 km), while the developing portion of the storm (Y = 20 km, Z = 4 km) has zero lightning flashes associated with it (Fig. 10a). At 2136 UTC, zero flash initiations are found along this entire cross section, and the only lightning activity near the cross section is from the preexisting mature convection (w < 10 m s−1) at X = 8 km, Y = 29 km (Figs. 7b, 10b). During the next 6 min, growth of the mixed-phase updraft volume ≥10 m s−1 is noted within the cell at X = 16 km, Y = 25 km. Also, between 2136 and 2140 UTC the 40-dBZ contours merge (Figs. 7b,c and 10b,c). Graupel mass and the 10 and 15 m s−1 updraft volumes quadruple from their values at 2136 UTC (Fig. 8a,b).
Flashes initiate downwind of this intense updraft growth (e.g., X = 19 km, Y = 19 km; Figs. 7d, 10d). A sigma level of 2.97 was observed at 2142 UTC as the total flash rate increases from 3 to 13 flashes min−1 in 2 min. The sigma level remained positive for the next 6 min, and a third lightning jump was observed at 2146 UTC (sigma level = 2.14; Fig. 8). This prolonged period of sigma levels with positive magnitudes culminated when the total flash rate peaked at 29 flashes min−1 at 2148 UTC. The last time the updraft volume is computed is 2144 UTC, before the storm moves out of the 30° beam-crossing angle and into the region near the multi-Doppler baseline (Fig. 1b). At this point the 10 m s−1 updraft volume in the multicellular cluster exceeds 100 km3, and the storm total graupel mass exceeds 1.23 × 108 kg at 2146 UTC (jump 3; Tables 1 and 2). At 2155 UTC, 1.9-cm hail is reported in Huntsville.
It is important to note that multiple updrafts within the multicellular cluster contributed to the overall magnitude and dramatic increase in kinematic and microphysical properties. The 10 m s−1 updraft volume increases from 2 to 73 km3 with this cluster between 2136 UTC and the lightning jump time of 2142 UTC, and eventually reaches as high as 105 km3 before the storm moves into the region near the baseline at 2148 UTC (Fig. 8a). At 2136 UTC, the graupel mass is at 1.3 × 107 kg, and by 2144 UTC, the estimated graupel mass had exceeded 8 × 107 kg, eventually peaking at 1.3 × 108 kg at 2147 UTC (Fig. 8b). Importantly, the mixed-phase graupel mass increases by nearly 8 times its value during this period. The maximum vertical velocity within the storm doubles, increasing from 10.7 to 23.3 m s−1 by 2140 UTC (Fig. 8c). The maximum vertical velocity observed prior to the storm entering the region outside of the optimal 30° beam-crossing angle near the baseline of the multi-Doppler domain was 28 m s−1 at 2144 UTC. From 2140 to 2146 UTC, the 55-dBZ reflectivity isosurface shows its largest vertical growth from 3 to 6 km and the 35-dBZ reflectivity isosurface also increases in height from 10 to 12 km (Fig. 9a). Furthermore, MESH values increase by 15 mm from 25 to 40 mm between 2135 and 2150 UTC, with the largest growth in magnitude occurring at 2146 UTC, just prior to hail fall at 2152 UTC (Fig. 9b). Another 60-dBZ reflectivity isosurface emerges at 1 km at 2156 UTC as MESH peaks at 40 mm.
Flash size evolution is more complicated with this case because there are multiple updrafts at various stages of their lifetime contributing to the overall charge structure of the multicellular storm. Three notable decreases in mean and median flash size are observed with increasing total flash rate during the multicellular cluster’s lifetime (Fig. 11; 2120, 2140, and 2208 UTC). The total flash rate decreases and the mean flash footprint size increases as updrafts within the cluster weaken. The most notable decrease occurs between 2134 and 2142 UTC. At 2136 UTC the mean and median flash footprint sizes are 48.8 and 36.0 km2, respectively. At the time of the lightning jump at 2142 UTC, the averages of the mean and median flash areas drop to 21.5 and 11.46 km2. Smaller mean and median flash footprint sizes are observed with this multicellular cluster than with the storm in section 3a, with the main kinematic difference between the two storms being a larger maximum updraft speed in this multicell system (Figs. 3c, 8c).
Figure 12 highlights the intricate flash size and flash rate relationship between multiple updrafts in the multicellular storm. At 2133 UTC, the smallest flash footprints and highest flash rates are located along the same Y location as the tallest portion in this multicellular cluster (Figs. 7a, 12a). Moving forward to 2136 UTC there are zero flash initiations within the cross section (Fig. 10b) and flashes from the more mature convective portion of the cluster at X = 8 km, Y = 28 km traverse within 5 km of the cross section (Figs. 7b, 12b). At 2140 UTC lightning develops between the two regions of 10 m s−1 updraft, and consists of several flashes that have mean and median areas that are smaller than 20 km2 (Figs. 10c, 12c). Larger flash footprints are located upwind of the intense updraft at Y = 25 km, Z = 5 km within the decaying portion of the multicellular cluster. This observation infers a weaker and broader updraft (Bruning and MacGorman 2013, their Fig. 1a). Similarly, the smaller mean footprint sizes are in the inferred turbulent region just downwind of the most intense updraft. At 2144 UTC, more flash initiations and smaller flash footprints continue to be found just downwind of the main intense mixed-phase updraft in this multicellular thunderstorm, while larger flashes extend northward into the older portion of the complex where weaker updrafts (hence, weaker inferred turbulence) are located (Figs. 10d, 12d).
c. Case 3: Rapidly developing bowing segment within a QLCS with lightning jumps
On 12 March 2010, northeastern Alabama saw a prolific hail-producing segment of a QLCS that moved through during the late morning hours (Fig. 13). Hail up to 4.4-cm in diameter coupled with 38 m s−1 winds broke windows and damaged roofs and siding in Marshall, Jackson, and DeKalb Counties. The initial intensification of this bowing segment within the QLCS is captured as the system moves through the multi-Doppler domain between 1500 and 1600 UTC. During the early portion of this period this section of the QLCS rapidly intensifies as the first two lightning jumps occur and its midlevel reflectivity structure takes on a backward “C” shape, indicating potentially strong convective wind development (Fig. 14).
The first lightning jump is observed at 1502 UTC as the total flash rate increases from 6 to 13 flashes min−1. This jump has a sigma-level magnitude of 4.72 (Fig. 15). The 10 m s−1 updraft volume dramatically increases from 43 to 331 km3 (Fig. 15a). The 15 m s−1 updraft volume is nonexistent prior to the jump, but grows to 114 km3 by 1503 UTC. The mixed-phase graupel volume grows from 70 to 200 km3, and graupel mass grows from 4.1 × 107 to 3.0 × 108 kg (Fig. 15b). The peak (98th percentile) updraft speed doubles from 12 (9) to 25 (18) m s−1, leading up to this first jump (Fig. 15c). This first jump is accompanied by an increase in the height of all reflectivity isosurface heights greater than 35 dBZ, with the maximum height of the 55-dBZ reflectivity isosurface increasing by as much as 2 km between 1503 and 1509 UTC (Fig. 16a). MESH doubles from 25 to 55 mm during this period and there is the first emergence of a 60-dBZ reflectivity isosurface at 2 km by 1506 UTC (Fig. 16b).
Between 1503 and 1509 UTC, the 10 and 15 m s−1 updraft volumes continue to grow, increasing by 153 and 21 km3, respectively (Fig. 15a). Graupel volume also rapidly increases in magnitude from 200 to 290 km3 (Fig. 15b). The total flash rate increases from 6 to 31 flashes min−1 indicated by three consecutive 2-min periods with positive sigma levels of 1.60, 0.75, and 2.50 (i.e., a second jump) between 1508 and 1512 UTC. At 1509 UTC the 10 and 15 m s−1 updraft volumes leveled off at 500 and 135 km3, respectively; however, the graupel volume continues to increase to 282 km3. Between 1509 and 1515 UTC, the graupel mass increases from 3.0 × 108 to 4.7 × 108 kg. The first reports of severe weather were received at 1525 UTC, as hail of a quarter size and larger fell in Lake Guntersville, Alabama; numerous trees were toppled within Guntersville State Park. This hail fall was accompanied by the development of reflectivity values in excess of 65 dBZ at 1–2 km and peak MESH values approaching 60 mm (Fig. 16).
Three additional lightning jumps are also noted at 1528, 1542, and 1600 UTC. The third and fourth lightning jumps at 1528 and 1542 UTC have sigma levels of 2.13 and 2.47, respectively. Prior to both of these jumps, increases in graupel volume, graupel mass, and 10 and 15 m s−1 updraft volume occur (Fig. 15; Tables 1 and 2). In fact, the lightning jump at 1528 UTC is in association with decreases in 55 (35)-dBZ reflectivity isosurface height from 6 (10) to 4 (9) km. The 55 (35)-dBZ isosurface height’s secondary vertical ascents from 4 (10) to 6 (11) km occur prior to the lightning jump at 1542 UTC and a 15-mm increase in MESH just prior to 1550 UTC. This growth is followed by a period of high winds and 4.4-cm hail beginning around 1555 UTC (Fig. 16).
The final lightning jump and period of consecutive positive sigma levels (i.e., continuously increasing total flash rates) between 1554 and 1600 UTC occurs as the storm is reaching its peak intensity. Total flash rates are now on the order of 80 flashes min−1. Graupel volume, graupel mass, and 10 and 15 m s−1 updraft volumes all peak between 1550 and 1600 UTC, and the updraft volume begins decreasing by the time of the fifth lightning jump at 1600 UTC (Fig. 15; Tables 1 and 2). The 55-dBZ height reaches its maximum of 7 km and a 65-dBZ core emerges between 3 and 5 km by 1558 UTC (Fig. 16a). MESH once again rapidly increases in magnitude from 40 to 65 mm between 1556 and 1558 UTC in response to the emergence of the 65-dBZ contour (Fig. 16b). Golf ball–sized hail is once again reported at about 1624 UTC in association with a decrease in height of the 55-dBZ core, and no other lightning jumps are observed during the remainder of the storm’s lifetime within the multi-Doppler lobes.
Analysis of mean flash footprint size shows a rapid decrease in mean and median flash size during the period of initial intensification (Fig. 17). Between 1502 and 1506 UTC the average mean and median flash areas are 128 and 127 km2, respectively. The maximum flash size is 367 km2 (not shown) and is associated with large rearward-propagating flashes into the QLCS’s stratiform region that often originate within the forward convective line (e.g., Carey et al. 2005; Ely et al. 2008; Lund et al. 2009). By 1512 UTC, the mean and median flash footprints have fallen to 88 and 77 km2, while the peak flash footprint remains large at 306 km2 (not shown). Smaller flash sizes are once again located near the peaks in updraft speed, and larger flash sizes are located in the stratiform region (Figs. 18a,c). By 1516 UTC the flash rate begins to increase again, the mean and median flash footprints increase to 110 and 108 km2 (Fig. 17), and the maximum flash size is 362 km2 (not shown).
However, there are noted differences in the trends of the mean and median flash footprint sizes with time as this storm continues to grow and the trailing stratiform precipitation shield expands. This is clearly noted at 1540 UTC with the fourth lightning jump (Fig. 17). Notice how as the flash rate increases in magnitude, the mean flash footprint size remains constant around 160 km2, while the median footprint size decreases in magnitude from 169 to 93 km2 (Fig. 17). During this same period, the maximum flash size nearly doubles from 471 to 908 km2 (not shown), and larger flash sizes begin to dominate the mean and eventually the median values as the storm grows and the stratiform region expands. At 1536 UTC, flashes with footprints smaller than 200 km2 make up 66% of the 63 flashes between 1536 and 1538 UTC. Ten minutes later, this percentage increases to 70% (86/123), but as the storm expands and intensifies this percentage drops to 54% by 1556 UTC and down to 49% by 1600 UTC (time of the fifth lightning jump). Therefore, the larger size of the storm creates a diversity in flash sizes that masks the flash size–rate relationship.
d. Case 4: Initial supercell development and lightning jump
A unique opportunity to capture the rapid transition from multicellular thunderstorm mode to supercell mode occurs on 10 April 2009 in south-central Tennessee (Figs. 19, 20). Initially this storm lacks a mesocyclone and has a peak total flash rate below 10 flashes min−1. At 1720 UTC the 10 m s−1 updraft volume is at 143 km3, and the updraft volume greater than 15 m s−1 is at 76 km3 (Fig. 21a). Graupel mass is initially at 2.56 × 108 kg (Fig. 21b). Peak updraft speed is 27.5 m s−1 at 1720 UTC (Fig. 21c). Between 1720 and 1728 UTC, growth of the updraft, graupel volume, graupel mass, and flash rate rapidly occurs. The 10 m s−1 updraft volume increases from 143 to 270 km3, the 15 m s−1 updraft volume doubles to 156 km3, and the graupel mass doubles to 5.13 × 108 kg (Figs. 21a,b; Tables 1 and 2). The maximum and 98th percentile updraft speeds increase as well from 27.5 and 21.2 m s−1 to 49.2 and 38.1 m s−1, respectively, between 1720 and 1728 UTC (Fig. 21c). The total flash rate jumps from 8 flashes min−1 at 1724 UTC to 43 flashes min−1 by 1730 UTC (Fig. 21). Two consecutive lightning jumps are observed at 1728 and 1730 UTC with sigma levels of 7.67 and 5.43, respectively.
An increase in intensity metrics for this storm is also readily apparent during this time period between 1720 and 1733 UTC (Fig. 22). The height of the 55-dBZ reflectivity isosurface rises nearly 4 km between 1720 and 1733 UTC (Fig. 22a). Furthermore, there is an increase in the magnitude of the azimuthal shear below 4 km with this storm at the time of the jump (Fig. 22b), and in the next radar volume after the lightning jump a mesocyclone is identified at 1731 UTC (Stough et al. 2015). This transition to supercellular structure is reinforced by the development of the hook echo by 1739 UTC (Fig. 19d). While no tornado is observed with this storm, the development of low-level rotation and the presence of a mesocyclone in conjunction with the lightning jumps indicates increased potential for severe weather (e.g., Stumpf et al. 1998). Other studies have observed lightning jumps preceding the development of mesocyclones within supercellular environments (e.g., Bruning et al. 2010; Calhoun et al. 2013; Stano et al. 2014; Stough et al. 2015). Finally, there is a distinct upward trend in MESH from 30 to just over 55 mm between 1724 and 1740 UTC (Fig. 22c). At 1746 UTC, 4.4-cm hail fell in Lewisburg, Tennessee.
Mean and median flash footprint sizes drop from 175 and 125 km2 to 47 and 25 km2, respectively, between 1716 and 1730 UTC (Fig. 23). Vertical cross sections of mean flash footprint size at 1720 and 1739 UTC demonstrate that smaller flash footprints are located close to the maximum updraft (Fig. 24). Figure 24 also shows that prior to intensification, smaller flash sizes are confined to a narrow region of the storm just downwind of the updraft location (Figs. 24a,b). After the lightning jump at 1728 UTC, the volume in which flash footprint sizes are smaller than 50 km2 increased in size as the flash rate increased. Figures 24c and 24d highlight the collocation of the smaller mean flash footprint sizes and the location of the storm’s updraft and BWER.
4. Discussion
One of the first takeaways from this study is that both the lightning jump occurrence and the flash rate need to be considered for lightning jump applications to severe storm potential. This is best characterized by the 3 May 2006 multicellular storm. There are three lightning jumps; however, the first jump in comparison with the second and third jumps in this storm highlights why the flash rate needs to be used in conjunction with the lightning jump information. The first jump is small and barely meets the lightning jump flash rate threshold as the total flash rate increased from 5 to 10 flashes min−1. Graupel mass increases by 2.4 × 107 kg and 10 m s−1 updraft (Figs. 8a,b; Tables 1 and 2) and volume remain nearly the same during the 15 min prior to the first lightning jump. Changes in kinematic and microphysical properties were larger with these latter two jumps. Here, the total flash rate increases from 3 to 13 flashes min−1 at 2142 UTC and continues to increase up to 29 flashes min−1 by 2148 UTC. During the 15 min prior to these last two jumps, the graupel mass increases by 7 × 107 kg (nearly triple the increase in mass prior to the first time) and the 10 m s−1 updraft volume increases by 62 km3 (Figs. 8a,b; Tables 1 and 2). Thus, when used in combination, the lightning jump and total flash rate currently provide the optimal configuration for thunderstorm monitoring using lightning data. The lightning jump provides the early indication that rapid intensification is ongoing, while the flash rate provides information relating to the size and intensity of the storm.
Similarly, one particular jump period in Tables 1 and 2 that stands out in this dataset is the fifth jump on 12 March 2010. The kinematic attributes for the storm during this period of time do not fit the model shown in each of the previous examples. Here, the 10 m s−1 updraft volume decreases in magnitude during the 15 min prior to this final lightning jump. However, at the time of the decrease, both graupel mass and 10 m s−1 updraft volume are at their largest magnitudes for the storm. Also, the majority of the graupel mass increase at this time is below the layer from −10° to −40°C at the time of this jump. Graupel mass between 0° and −10°C increases by 9.3 × 108 kg during this period. While much of this increase in graupel mass may be due to graupel mass fallout from −10° to −40°C, over 35% (3.7 × 108 kg) of the increase in graupel mass in this layer is found in regions where updrafts are located. Furthermore, the authors can reasonably speculate on the potential role for secondary ice generation processes leading up to the final jump (e.g., Hallett and Mossop 1974; Mansell et al. 2010). Secondary ice generation processes are the result of the splintering of graupel and fracturing of freezing drops between −3° and −8°C near or within a thunderstorm updraft. Thus, evidence of graupel mass growth within the updraft of the storm between 0° and −10°C provides a reasonable physical basis for the presence of secondary ice production by which an enhancement in electrification can be realized in this storm.
Thus, not all jumps have the same characteristics, and it is important to examine the jump, the duration of the jump (i.e., in this case two vs eight consecutive minutes with positive sigma levels), and the resultant flash rate for optimal use in a warning environment. These observations are also supported by the recent work of Chronis et al. (2015). Chronis et al. (2015) demonstrate that storms with lightning jumps that contained higher-magnitude flash rates and sigma levels correspond to storms that eventually produce higher MESH values and last longer in time.
Table 1 highlights changes in graupel mass of each storm prior to individual lightning jumps with sigma levels that are 2 and higher and the maximum flash rate increase in the 11 June storm. The consistent observation across the board for each storm is an increase in graupel mass as the total flash rate increases. The change in mixed-phase graupel mass is at least 7 × 107 kg and/or ice mass greater than 108 kg was already in place in the lightning jumps that precede severe weather occurrence. In the weakest case, the change in graupel mass is only on the order of 2.3 × 107 kg, with a resultant graupel mass not exceeding 4.4 × 107 kg.
Kinematic characteristics are summarized in Table 2 for all 12 periods of interest. The first observation that corroborates previous studies is that larger updraft volumes support higher flash rates (e.g., Lang and Rutledge 2002; Kuhlman et al. 2006; Deierling and Petersen 2008; Calhoun et al. 2013). This result is especially apparent when comparing 10 m s−1 updraft volumes. All but two increases in total flash rate are preceded by increases in the 10 m s−1 updraft volume. The change in updraft volume with the second and third lightning jumps on 3 May 2006 is likely underestimated because a substantial period of the storms lifetime was omitted because it approached the edge of the 30° beam-crossing angle in the ARMOR–KHTX multi-Doppler lobe.
Maximum and 98th percentile updraft speed increased in 8 of 12 instances prior to lightning jump occurrence (Table 2). However, peak updraft speed is found not to be as well correlated to the total flash rate when compared to the 10 m s−1 updraft volume–total flash rate relationship over the entire history of each thunderstorm using Spearman’s rank correlation (Table 3). Higher positive correlation coefficients and lower standard error values are found for the 10 m s−1 updraft volume–total flash rate relationship versus the peak updraft speed–total flash rate relationship, indicating that there is better agreement between the updraft size and total flash rate versus the peak updraft speed and total flash rate over the lifetime of these thunderstorms. Thus, even though an increase in maximum updraft speed corresponds well with the lightning jumps in these events on shorter time scales, the maximum updraft is not necessarily well correlated to the total flash rate over the entire lifetime of a thunderstorm. This observation of poorer correlation between peak updraft speed and total flash rate versus the correlation between updraft volume and total flash rate over an entire storm’s history supports the findings of Lang and Rutledge (2002), Kuhlman et al. (2006), and Deierling and Petersen (2008).
Spearman’s correlation R and standard error analysis σSE between max updraft speed wMax and 10 m s−1 updraft volume w10 to total flash rate for each thunderstorm’s entire lifetime.
The inverse relationship between flash rate and flash size is observed near the times of most lightning jumps. However, once storms have matured, this relationship can break down at the storm scale with the development of larger flashes within anvils or stratiform regions (e.g., 1556–1606 UTC 12 March 2010; Fig. 17). When flash sizes can spatially be resolved through lightning measurements, locations of flash size minima highlighted updraft locations. Furthermore, modulation of flash size in time and space can also be a good indicator of local modulation to updraft strength. Importantly, many of the mean and median footprint sizes in each of the trends are less than 64 km2, so application of this flash size and flash rate inverse relationship to lightning data from instruments like the Geostationary Lightning Mapper (GLM; 8 km × 8 km footprint at nadir) may be challenging because of the coarseness of the measurements.
5. Conclusions
Kinematic, microphysical, and flash characteristics were examined for four thunderstorms in northern Alabama and south-central Tennessee during rapid increases in total lightning. The organization and intensity of these four thunderstorms range from an ordinary thunderstorm to a well-organized and long-lived supercell. Three of the four thunderstorms that are examined contained at least one lightning jump. The fourth storm from 11 June 2012 did not produce a jump and is analyzed at the time of its greatest flash rate increase.
These results show that a combination of microphysical and kinematic quantities is necessary for the total flash rate to rapidly increase in an intensifying thunderstorm. The following observations are made connecting the kinematic and microphysical thunderstorm characteristics to lightning jumps:
Lightning jumps are observed in conjunction with growth of the 10 m s−1 updraft volume and graupel mass between −10° and −40°C.
Peak and 98th percentile updraft speeds are observed to increase in magnitude in 8 of the 12 lightning jumps and peak flash rate increases examined here; however, over the entire lifetime of each storm, peak updraft speed is not well correlated with total flash rate. This demonstration of poorer correlation between the updraft speed and total flash rate versus the updraft volume and total flash rate over the lifetime of thunderstorms is similar to the findings of previous work.
Decreases in mean and median flash footprints during increases in the total lightning flash rate are observed in all four thunderstorms during development stages within the most intense storms.
The smallest flash sizes in each thunderstorm are located near the most intense updrafts during these growth phases, as postulated by Bruning and MacGorman (2013).
The combination of both the sigma level and the total flash rate are important when using total lightning observations to assess storm intensification.
Most importantly, these results serve as conceptual models for future lightning and lightning jump applications to assess severe weather potential. The lightning and lightning jump provide the forecaster information on the state of a thunderstorm’s updraft, which can be used to make timely warning decisions in conjunction with other readily available observations (e.g., radar, satellite, and environmental information). Current research by Schultz (2015) quantifies kinematic and microphysical changes for all flash rate increases in a large number of storms to work in concert with the examples presented in this paper.
Acknowledgments
The authors would like to acknowledge Dr. Steven J. Goodman and NOAA/NASA GOES-R Risk Reduction Research funding for support of this research. CJS would like to acknowledge support from the NASA Pathways Intern Program at Marshall Space Flight Center, namely Julie Clift and Christopher Randall. The authors are thankful for technical support with radar data processing from Lamont Bain, Retha Mecikalski, and Danielle Kozlowski for parts of the 11 June and 10 April events. The authors would like to also acknowledge Dr. Walt Petersen for directing the collection of ARMOR data during his tenure at the Earth System Science Center and NASA MSFC in Huntsville. Furthermore, productive conversations with Themis Chronis, Phil Bitzer, Hugh Christian, and Kristin Calhoun benefited the outcomes of this research. We also gratefully acknowledge the technical support for maintenance of the operational instrumentation, namely Dustin Phillips, Patrick Gatlin, and Chris Phillips for the maintenance of ARMOR, and Jeff Bailey for the continued maintenance of the North Alabama Lightning Mapping Array. Finally, we thank Dr. Eric Bruning and two anonymous reviewers for thorough and constructive reviews that improved this article.
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See Davies-Jones (1979, their Fig. 2) for more information on dual-Doppler spatial resolution by which these lines were derived from for the ARMOR–KHTX dual-Doppler domain.
The reader is referred to appendix A of Schultz et al. (2011) or the methodology in Chronis et al. (2015) for more details on the lightning jump configuration.
An example of placing a convex hull around an LMA-derived flash is found in Bruning and MacGorman (2013, their Fig. 2).