STEPS BAMS Article Working Draft
Last Updated 26 March 2004 ***LATEST UPDATES*** Final Version - 26 Mar 04 Resubmitted Version - 04 Feb 04 Original Submitted Version
1. Introduction[ Top ] - [ Next ]Severe thunderstorms, due to their propensity to injure, kill, and cause extensive property damage, are a primary concern to not only weather forecasters but also the public. However, these storms remain a puzzling scientific and forecasting problem, as they exhibit a wide range of electrical activity as well as a diversity of precipitation type and amount. Indeed, the incomplete representation of precipitation in convective storms remains a significant impediment to improving the quantitative forecast of warm season precipitation nationwide (e.g., Fritsch et al. 1998, Droegemeier et al. 2000). One of the more intriguing severe storm types in this regard is the supercell thunderstorm (Browning 1964). In its most pristine state, a supercell is composed of a single, long-lived, rotating updraft that frequently produces large hail, high winds, prolific lightning, and occasionally tornadoes. While the basic dynamics of supercells seem well understood (e.g., Klemp 1987), these storms exhibit a wide variety of precipitation characteristics that is not well understood. For instance, supercells have been classified as either low-precipitation (LP; Donaldson et al. 1965, Davies-Jones et al. 1976, Burgess and Davies-Jones 1979, Bluestein and Parks 1983), classic or medium-precipitation (MP), and heavy-precipitation (HP; Doswell and Burgess 1993, Rasmussen and Straka 1998) based on differences in overall precipitation characteristics. Perhaps the least understood among these storms are LP supercells, which characteristically produce a huge anvil, some large hail, but appear to produce little rain. The visible cloud is a skeleton compared with other supercell storms, and rarely has a visible rain shaft (Bluestein and Parks 1983, Bluestein and Woodall 1990). Supercell updrafts generally are too strong to allow much precipitation growth in a single upward pass. Therefore, some form of recirculation of embryonic precipitation is required to produce larger-sized particles that fall out as raindrops, graupel, or hail (Browning 1977, Nelson 1983, Miller et al. 1988, 1990). One possible explanation as to why some supercells produce large hail with very little rain while others might produce large amounts of rain and hail of all sizes is that environmental shear (e.g., Marwitz 1972a,b) and storm-relative flow in the upper levels (Rasmussen and Straka 1998) modulate the recycling process. Consistent with the notion that airflow affects hail production, Nelson (1987) proposed that severe hailfall events are critically dependent on kinematic structure rather than microphysical factors. Therefore, better understanding of the workings of supercells should illuminate the mechanisms that influence storm precipitation efficiency in general, as well as the feedbacks between precipitation production and storm dynamics. Another unusual aspect of severe convective storms, including supercells, is their tendency to produce large amounts of positive cloud-to-ground (+CG) lightning (e.g., Branick and Doswell 1992), in contrast with normal warm-season thunderstorms that transfer mostly negative charge to ground through their CG lightning (Orville 1994, Orville and Silver 1997). A major question is the location of the source charge regions for +CG flashes in these storms, and how those charge regions developed. Most normal convection is generally thought to have an approximately tripolar charge structure, with a small amount of lower positive charge below major mid-level negative (generally considered to be the origin location of most negative CG lightning) and upper-level positive charge layers (Williams 1989), although a more complex electrical structures may exist, particularly in thunderstorm downdrafts (Stolzenburg et al. 1998). A detailed review of +CG hypotheses is provided in Williams (2001). Some researchers have posited an enhanced low-level positive charge layer as being responsible for most +CGs. A similar possibility is an inverted dipole, with mid-level positive charge underlying upper-level negative (MacGorman and Nielsen 1991, Williams et al. 1991). Other work points toward upper-level positive charge that is unshielded either due to falling precipitation (Carey and Rutledge 1998) or strong wind shear (tilted dipole; MacGorman and Nielsen 1991, Branick and Doswell 1992, Curran and Rust 1992). All of these hypotheses suggest interesting yet poorly understood relationships between precipitation formation, airflow dynamics, and lightning production in +CG thunderstorms. The ability to understand these relationships, however, requires sophisticated tools to observe and analyze thunderstorm characteristics. In particular, for precipitation, research with polarimetric meteorological radars has led to an emerging capability for identifying hydrometeor types remotely (Vivekanandan et al. 1999, Liu and Chandrasekar 2000, Straka et al. 2000). Such work began with efforts to discriminate between hail and rain, but as these radars have become more sophisticated, the number of measurable variables and thus the number of potential discriminants has increased. Some algorithms distinguish between such diverse hydrometeor types as large and small hail, graupel, snow, and mixed-phase precipitation. Hydrometeor identification can be useful in various applications to weather forecasting, aviation weather warnings, as well as in fundamental studies of storm structure and evolution. However, like all remote sensing techniques, polarimetric hydrometeor classification needs in situ verification to establish and improve the scope of its validity. During May-July 2000 a major field project was conducted in the High Plains, near the Colorado-Kansas border, in order to investigate all of the above issues. The broad goal of the Severe Thunderstorm Electrification and Precipitation Study (STEPS; Weisman and Miller 2000; http://box.mmm.ucar.edu/pdas/STEPS.html) was to achieve a better understanding of the interactions between kinematics, precipitation production, and electrification in severe thunderstorms. Specific scientific objectives included: 1) understanding the apparent major differences in precipitation output from supercells that have led to them being classified as LP, MP, and HP; 2) understanding lightning formation and behavior in storms, and how it differs among storm types, particularly to better understand the mechanisms by which storms produce predominantly +CG lightning; and 3) to verify and improve microphysical interpretations from polarimetric radar. In addition to these major research objectives, STEPS provided an opportunity to examine some related issues. The emphasis on +CG lightning enabled research into what is different about the small subset of +CGs from certain storms which trigger mesospheric transient luminous events (TLEs) such as sprites (Lyons et al. 2000, 2003a,b; Williams 1998). In addition, the emphasis on polarimetric radar observations allowed research into how precipitation forms in growing cumulus clouds.
The STEPS project centered on a unique suite of complementary observing platforms in eastern Colorado and western Kansas. This portion of the High Plains region of the United States has been observed to climatologically favor supercell storms, particularly of the LP variety (Bluestein and Parks 1983). This is primarily due to the warm-season presence in this region of the Dry Line, the boundary between moist air from the Gulf of Mexico and drier continental air, which has been strongly associated with the occurrence of LP storms (Bluestein and Parks 1983). This region also is favorable for thunderstorms that produce predominantly +CG lightning (Zajac and Rutledge 2001, Carey and Rutledge 2003, Carey et al. 2003), as well as severe hailstorms (Changnon 1977). Thus, the STEPS domain was ideally located for studying the storms of interest. The field measurements and analysis for STEPS were specifically designed to explore the mechanisms of precipitation formation and lightning production in supercell storms. The instrumentation (Table 1) included two S-band polarimetric radars, the Colorado State University CSU-CHILL and the NCAR S-Pol - along with the NWS WSR-88D Doppler radar at Goodland, KS - for determining the internal airflow and precipitation structure of storms. The deployable Lightning Mapping Array (LMA) from New Mexico Institute of Mining and Technology was used to map the three-dimensional total lightning distribution, while the National Lightning Detection Network (NLDN) provided CG flash data. The South Dakota School of Mines and Technology (SDSMT) armored T-28 aircraft was used to penetrate storms and provide in situ microphysical, electric field, and particle charge data. Mobile sounding systems from NOAA/NSSL were used to obtain balloon-borne measurements of electric fields inside storms (EFM balloons). NCAR mobile sounding systems (M-GLASS) and NOAA/NSSL Mobile Mesonet vehicles were used to characterize the storm environment. Finally, the Yucca Ridge Field Station (YRFS), located a few hundred km NW of the STEPS domain, provided observations of TLEs during STEPS. The basic geographical layout of the project is shown in Fig. 1. For more information on each of these observing platforms see Table 1. The combination of all of these observations provided a thorough depiction of the co-evolving kinematic, microphysical, and electrical structures of STEPS thunderstorms, along with an understanding of each storm's mesoscale environment. Due to the detailed observing network, STEPS provided the best opportunity to date to answer key questions about precipitation formation within and electrification of severe storms. Additionally, the presence of two polarimetric radars and in situ observations provided a unique opportunity to evaluate and improve radar-based hydrometeor identification and quantification algorithms. The Operations Center for STEPS was the CSU-CHILL radar facility, which was temporarily re-located from its home base at Greeley, CO, to Burlington, CO, during the summer of 2000. Mobile facilities and STEPS personnel generally were based out of Burlington, CO, and Goodland, KS. STEPS received excellent support from the local NWS forecast office in Goodland, KS (see sidebar), and daily forecast and observational platform status briefings occurred each morning at this NWS facility. Based on each briefing, operations plans were formulated for the afternoon and evening. The research radars (CSU-CHILL and S-Pol) typically were running surveillance scans by noon. When convection was forecast, M-GLASS soundings were released and vehicle platforms (Mobile Mesonet, EFM balloons) were deployed in strategic locations near where activity was expected. Once convective targets were identified the vehicles and T-28 aircraft were vectored to the storm via radio communications with the operations center. In addition, the research radars would begin synchronized sector-based PPI and RHI scans of the target storm. The main focus of observations were storms that occurred within or passed through the dual-Doppler lobes formed by each radar pair within the STEPS network (see Fig. 1). Of these, the highest priority was given to supercell storms, especially those with LP characteristics, as well as thunderstorms observed to be producing predominantly +CGs. The two research radars, CSU-CHILL and S-Pol, provided both polarimetric and velocity information while the KGLD WSR-88D operational radar provided additional velocity measurements for wind syntheses, both dual- and triple-Doppler depending on storm location. Despite a drought during much of the operations period, STEPS investigators were able to obtain unprecedented data on a wealth of diverse cases, including LP storms, supercells, and mesoscale convective systems (MCSs), among others (Table 2). Many of the storms produced predominantly positve CG lightning during all or a portion of their lifetimes, and also exhibited unusual electrical structures, such as a possibly inverted dipole.
Although a variety of storms passed through the network, supercells were the main focus of the study. Therefore, we have selected two cases to represent the range of supercells observed: one a classic supercell that occurred on 29 June 2000, which was observed by every available platform, and the second an LP supercell that occurred a few days later on 5 July. a. Overview of the 29 June Classic Supercell The weather scenario for the afternoon of 29 June 2000 was characterized by an unstable airmass in western Kansas, with temperatures near 30 °C and dew points near 15 °C. Winds were 10-15 m s-1 from the south at the surface, veering to 15-25 m s-1 from the northwest aloft, producing sufficient shear for supercell-type storms. Surface dew points decreased toward the west into eastern Colorado, but a distinct dry line was not evident. A short line of convective cells developed around 2200 UTC in the northwest corner of Kansas as a weak upper-level disturbance moving southeastward out of Wyoming approached the more unstable airmass. The convection subsequently moved southeastward, remaining in a multicellular phase for nearly 1.5 hours before making a 35° right turn as it became more supercellular in character. Around this time storm size and radar reflectivity increased dramatically and a tornado first touched ground (2328 UTC). The tornado was on the ground for about 16 min and was tracked by the Mobile Mesonets throughout its lifetime. (A description and photogrammetric analysis of the tornado courtesy of Erik Rasmussen is available at http://www.nssl.noaa.gov/ssr/index.htm.) The mid-life intensification of the storm radically altered its kinematics, microphysics, and lightning production, based on a detailed analysis of the radar and lightning data (Tessendorf et al. 2003, Wiens et al. 2003). Prior to the intensification, there was little CG lightning of either polarity and little radar evidence of hail aloft. After intensification and the right turn, large hail began to dominate radar returns aloft (as revealed by polarimetric data) and the storm simultaneously began producing large numbers of +CG flashes. There also was an increase in total lightning activity. During its lifetime this storm underwent several convective surges, with updraft speeds peaking near 50 m s-1 as estimated by multiple-Doppler synthesis (Tessendorf et al. 2003). The most important of these surges was the mid-life intensification mentioned earlier. Peaks in hail production aloft, largely around the altitude of -10 °C, were well correlated with the convective surges, as was +CG lightning production (Fig. 2; surges A and C in Fig. 3). The +CG discharges were usually initiated on the edge of hail regions and progressed into the hail regions and/or into the downshear part of the storm (e.g., Fig. 4). Trends in total flash rates for this storm closely followed trends in volumes of updraft, reflectivity, and hail with maximum flash rates near 300 min-1. Pulsations in updraft strength also closely matched observations of bounded weak echo regions (BWERs; Browning and Donaldson 1963, Browning 1964, 1965) in the reflectivity field, as well as "holes" in VHF sources detected by the LMA (Fig. 5). The ring-like structure of the lightning hole and the BWER indicates that charged precipitation particles were "wrapped around" the updraft by the storm rotation. The tornado occurred on the western side of the lightning hole and updraft region. Similar observations were obtained with the LMA from a storm producing an F0 tornado during the MEaPRS Project in Oklahoma in 1998 (Krehbiel et al. 2000). The LMA observations indicate that, in its very initial stages, the storm contained a lower positive and mid-level negative charge; i.e., the lower half of a normal tripole structure (Fig. 6a; interval 'a' of Fig. 3). The inferred positive charge regions were well-correlated with the locations of significant graupel and hail concentrations, suggesting that the charging resulted from a charge reversal microphysics process (e.g., Takahashi 1978). As the storm evolved, the lightning flash rate quickly increased and indicated the rapid development of alternating positive and negative charge layers above the lower dipole (Fig. 6b; interval 'b' of Fig. 3). The storm then went on to develop a dominant, deep mid-level positive charge region, with negative charge above the positive (the inverse of a normal polarity dipolar structure) and produced numerous inverted polarity IC flashes between the two charge regions (e.g., Fig. 4). The inverted electrical structure developed less than an hour into the storm and persisted for the remainder of the storm's life. Several EFM balloons were launched into the 29 June storm. The electric field data in Fig. 7 were obtained from the second balloon flight of the day. The launch was into the strong updraft of the storm's mesocyclone (sounding path shown in Fig. 7). Inside the updraft, electric field magnitudes remained small and fairly constant until an altitude of 8 km MSL. Both horizontal and vertical components of the electric field increased steadily from 8 km MSL to approximately 10 km MSL, with the change in electric field indicating the presence of positive charge in that region. This charge layer began as the balloon entered regions of heavier precipitation, including hail. At least three charge regions of alternating polarity were detected in the updraft below 12 km. The balloon subsequently descended into the downdraft portion of the storm, with the sounding showing a similar distribution of charge as in the upper part of the storm, but situated lower in altitude. Overall, these observations are consistent with the inferred charge regions based on the LMA data. Data and conclusions from this flight are presented in detail in MacGorman and Rust (2003). As discussed in that study, one characteristic of all the mesocyclone soundings in significant updrafts is the almost complete absence of charge in the weak echo region of the storm, the absence extending much higher than observed in typical storm updrafts. This was consistent with lightning "hole" observed by the LMA (Fig. 5). MacGorman et al. (1989) hypothesized that this absence of charge at lower altitudes in the strong updraft of mesocyclones is caused by the relative lack of the precipitation, which appears to be the major carrier of charge at that altitude. The T-28 made several passes through multiple flanking towers and the main updraft region of the 29 June storm at the 6 km (-10 °C) level during the 45-minute time interval when the storm produced a tornado and began to produce frequent +CG lightning. Consistent with the balloon EFM and LMA observations, the freshly developed updraft cores were basically free of ice and charge at this level, with negligible electric fields. A radar depiction of the storm during a pass through the main updraft region is shown in Fig. 8. The aircraft encountered four updraft maxima in this pass, separated by regions of reduced updraft and enhanced concentrations of precipitation-size particles (Fig. 9). The last two cores were precipitation-free at this level. Updrafts were estimated by the T-28 sensors to reach 35 m s-1, in good agreement with a nearly concurrent multiple-Doppler synthesis and EFM sounding. During a penetration between 2333 and 2338 UTC the T-28 encountered an intracloud lightning flash that was evident in both the electric field record and partially imaged by the wing-mounted video camera. This flash also was detected by the LMA. Warner et al. (2003) used the LMA data and video image, to model the channel as a line source oriented in front of and angled below the T-28 flight track. By adjusting the charge density and channel orientation combined with an assumed inverted tripole main charge distribution, they were able to match the observed electric field components, allowing them to estimate the channel's location, charge density, and polarity (negative). The analysis agrees with the LMA-inferred polarity and channel orientation and constitutes the first in situ verification of LMA observations. b. Overview of the 5 July LP Supercell The weather scenario on 5 July was consistent with past conditions associated with LP supercell events, with a relatively quiescent synoptic envrionment and a strong dry line becoming established along the Kansas-Colorado border by mid-afternoon. Surface temperatures peaked above 35 °C with dew points in the 0-5 °C range west of the dry line, with temperatures around 35 °C and dew points above 15 °C east of the dry line. More notably, an outflow boundary from a convective system earlier that morning in eastern Nebraska had propagated westward into southwestern Nebraska, with surface temperatures around 30 °C, and dew points above 20 °C. M-GLASS soundings taken south and west of this outflow boundary exhibited minimal CAPE and vertical wind shear. However, a sounding taken at 00 UTC within the modified airmass north of Goodland exhibited extreme instability, with CAPE values between 4000-5000 J kg-1, despite a stable layer near the surface, and also exhibited significant vertical wind shear in the lowest several kms AGL, due in large part to the 10-15 m s-1 ENE surface flow veering to modest SW flow aloft, allowing for the possibility of supercell-type activity. The significant storm on this day subsequently developed to the northeast of this dry line-outflow intersection, within the highly unstable airmass, and quickly developed significant low- and mid-level rotation and an associated hook in the radar reflectivity field (Fig. 10). A photo taken during its mature phase (Fig. 11) shows many of the characteristics of a LP supercell with a striated, bell-shaped cloud - often indicative of a rotating updraft - and visually very little precipitation just to the north and east of the primary cloud. This storm did not produce a tornado (although tornado warnings were issued based on its radar structure), but did produce some large hail along with mostly +CG lightning. A smaller storm (hereafter referred to as the weaker storm) - further to the west and closer to the dry line - also exhibited LP characteristics, but dissipated as outflow from the primary storm further to the east apparently cut off its warm inflow. The EFM ballooning crew launched three balloons into the 5 July storm. Figure 12 shows electric-field data from the second balloon flight of the day. This balloon was launched southeast of a large wall cloud, in outflow from the storm. Eventually it entered the inflow region and was caught in a strong updraft. At the location of the balloon, updraft speed increased steadily to a maximum of roughly 20 m s-1 at an altitude of 8 km MSL. The balloon was damaged at an altitude of 13 km MSL and descended in and near a core of large reflectivity. Electric-field data continued to be collected down to at least 4 km MSL, and thermodynamic and tracking data were collected down to 1.5 km MSL. The charge distribution inferred from the upward part of this sounding satisfied criteria suggested by Rust and MacGorman (2002) for classifying the storm's charge structure as inverted-polarity. The lowest charge encountered as the balloon rose in the updraft was similar to the lowest charge encountered by the updraft sounding for the 29 June storm in that neither was detected until the balloon reached an altitude of roughly 8 km MSL. On 5 July, however, the lowest charge region, instead of containing a large density of positive charge as on 29 June, contained a relatively small density of negative charge. The next lowest charge region on 5 July encountered at a height of 8.5 km MSL, did have a high density of positive charge, comparable to the density of the lowest positive charge on 29 June. The charge distribution on 5 July was also similar to that on 29 June in that both storms had more complex charge structure during the descent in and near reflectivity cores than during the ascent through the weak-echo region of the updraft. As one might expect, charge extended to considerably lower altitudes in the reflectivity cores than in the updraft. Similar differences in the complexity of charge structure have been reported previously by Stolzenburg et al. (1998) and by Marshall et al. (1995), who compared soundings in strong updrafts with soundings in weak updrafts. However, these two previous studies did not compare soundings from the same storm. For more details and additional results from soundings of the 29 June and 5 July storms, see MacGorman and Rust (2003). The 5 July case provided ample data with which to evaluate the three main applications of polarimetric radar: 1. retrieval of the parameters of the rain drop size distribution (DSD); 2. estimation of rain rate (R); and 3. classification of hydrometeor types (Bringi and Chandrasekar 2001; chapters 7 and 8). The radar measurements of reflectivity factor (Zh), differential reflectivity (Zdr), and specific differential propagation phase (Kdp) can be used to estimate the three parameters of a normalized gamma DSD form, namely the median volume diameter (D0), shape (μ) and the generalized intercept (Nw). Radar retrieval of the gamma DSD parameters, are of great importance in characterizing different rain types (Bringi et al. 2003). Hydrometeor classification involves the use of a fuzzy logic methodology employing additional radar measurements such as linear depolarization ratio (LDR) and copolar correlation coefficient (ρco), as well as temperature, to infer the bulk hydrometeor type such as rain, graupel, hail, etc. (Bringi and Chandrasekar 2001; chapter 7). The rain DSD during the mature phase of the weaker 5 July storm was analyzed using low-elevation-angle scans from SPOL. Figure 13 shows histograms of (a) D0 and (b) log(Nw) within the main echo region of the storm using the methodology described by Bringi et al. (2002a). The standard deviation of D0 (σ) is ~1 mm, significantly larger than values in more typical Colorado convective rain events (σ~0.5-0.6 mm). The mode of Nw in Fig. 13 is near 400 mm-1 m-3, which may be compared to 1700-2000 for continental convective rain (Bringi et al. 2003). Thus, the rainfall in this storm event of 5 July is characterized by an unusual DSD; that is, a very low concentration of larger-sized drops even during its mature phase - an interesting observation given the LP characteristics of this storm. The multiplicative coefficient a in the Z=aR1.5 relation for this event would be in the range 600-800 as compared to the more usual range 150-300. Polarimetric radar can be used to continuously estimate the coefficient a and is a practical application of DSD retrieval relevant to the potential upgrade of the WSR-88D for dual-polarization (Bringi et al. 2002b). Examples of hydrometeor classification using the CSU fuzzy logic scheme (Liu and Chandrasekar 2000) are presented in Fig. 14 for the two storms occurring on 5 July. Figure 14a is for the weaker storm (same as the DSD retrieval shown earlier) and Fig. 14b is for the strong LP supercell. The results for the weaker storm are typical for a thunderstorm; however, the difference between a normal thunderstorm and the case shown here is brought out in the DSD statistics shown earlier in Fig. 13. Thus, both classification and quantification are needed for characterizing storm types. The classification results for the stronger LP supercell show some important features previously noted in severe hail-producing storms such as a large area of hail extending from surface to 10 km, significant graupel near the surface, a region of supercooled rain in the 3-7 km AGL altitude layer, and a region of hail situated above the supercooled rain. Within the main precipitation shaft, there are indications of heavy rain mixed with hail. These and other polarimetric radar features have been reported in greater detail by Conway and Zrnic (1993), Hubbert et al. (1998), Kennedy et al. (2001) and Loney et al. (2002), among others (see also chapter 7 of Bringi and Chandrasekar 2001 for a review). The DSD statistics of rainfall as well as the hydrometeor type classification in storms using polarimetric radar data appear to be very useful for validation and possible improvement of the microphysical parameterization schemes used in idealized model simulations of such storms. c. Additional STEPS Research 1) NUMERICAL MODELING Numerical cloud models have been successful at reproducing the basic dynamical character of the observed convective storm spectrum (e.g., ordinary cells, multicells, supercells, squall lines, etc.; Weisman and Klemp 1986, Weisman et al. 1988), but have been far less successful at reproducing the large variety of observed precipitation characteristics in any systematic or physically realistic manner (e.g., Weisman and Bluestein 1985). Additionally, numerical studies show great sensitivity in resultant convective structure, evolution, and precipitation output to relatively minor differences in microphysical schemes, casting much doubt on our current ability to forecast convective precipitation in operational models (e.g., Gilmore et al. 2003). Thus, numerical modeling of STEPS storms is an important goal of the project. Observations from radar, the T-28, and soundings can be used to "teach" the model to come as close as possible (or practical) to the real storms. The model results then can be used as the basis for a detailed analysis of precipitation formation. Some initial idealized simulations have been completed for both the 29 June and 5 July supercell storms using the Weather Research and Forecast model (WRF; http://wrf-model.org), with a 1-km (0.5-km) grid spacing in the horizontal (vertical) directions over a 120 km x 120 km x 22 km domain, and with the Lin et al. (1983) microphysics parameterization, which includes six water species (water vapor, cloud water, cloud ice, snow, rain, and graupel; Miller and Weisman 2002). Preliminary results indicate that the model is able to replicate basic storm-scale properties, such as storm motion, orientation, and rotational characteristics, but these same model results also highlight the difficulties in reproducing the microphysical character of the storms. For instance, while both storms exhibited low-level hook echoes and vaulted radar structures in the mid- to upper levels, the simulations were not able to reproduce the vaulted structures. The simulations did produce a much weaker low-level cold pool for 5 July than it did for 29 June, which may be consistent with the 5 July storm having a more LP-type structure, but this result was found to be sensitive to minor changes in the microphysical parameters. Future analyses will consider observations from the T-28 aircraft and inferences from the polarimetric radar measurements to improve both the microphysical parameterization schemes and (hopefully) the simulated storm representations, especially cold-pool production and distribution of precipitation relative to the updraft. 2) PRECIPITATION IN NASCENT CONVECTION As mentioned earlier, investigation of precipitation development in growing cumulus clouds was an ancillary goal of STEPS. In a climate regime like that of the STEPS domain, the earliest-detectable precipitation echoes in the nascent stages of convective clouds have not been examined with an S-band polarimetric radar. An exploratory examination of the entire S-Pol data set is being undertaken to identify and study the first echo cases. The parameter of main interest besides Zh is Zdr, which should indicate whether the earliest precipitation echo comes from sizable liquid drops or not. During STEPS several of the early echoes do include a positive Zdr column extending above the freezing level. This column is temporary, its upper portion disappearing after a few minutes. Presumably, it is composed of mm-sized liquid drops, the Zdr signal disappearing when they freeze. In addition, during the course of this case survey, it was noted that on 23 June interesting observations were made of convective air motions being generated by descending anvil precipitation. This mechanism of generating instability by moistening air via falling precipitation could play a role in the maintenance of stratiform precipitation regions in certain MCSs. 3) TLE OBSERVATIONS During STEPS more than 1200 transient luminous events (TLEs; mostly sprites) were documented (Lyons et al. 2000, 2003a). Within High Plains convection, sprites typically accompany only a small percentage of +CG flashes, most often within the stratiform precipitation region of larger MCSs (Lyons 1996). STEPS provided the ideal experiment to distinguish sprite parent +CGs (SP+CGs) from other lightning flashes. Sprites appear to represent conventional dielectric breakdown in the mesosphere (~70-75 km) triggered by unusually large electric field transients from +CGs below. Huang et al. (1999) noted the key metric in sprite formation should be the magnitude of the CG lightning charge moment (Mq), the product of charge lowered to ground by a CG flash (C) and the height from which this occurs (Zq). During STEPS, multiple remote locations coordinated measurements of extremely low frequency (ELF) transient signatures providing estimates of Mq from SP+CGs. A new Israeli technique geolocated STEPS sprites within 200 km at a range of 11 Mm (Price et al. 2002). For a large sample of STEPS sprites, Hu et al. 2002 found that SP+CG Mq values reached 600 C km before there was a 10% probability of sprite occurrence. The probability approached 90% for Mq >1000 C km. These Mq values are far larger than those believed typical of most CG flashes. LMA mapping of the entire SP+CG discharge for the 19 July MCS revealed the charge layers tapped by the CG flashes (Zq). Interestingly, sprites were not produced by +CGs until the upper-level (~10 km) maxima of LMA VHF emissions was replaced by sources closer to the melting layer. The average Zq values for the 19 July sprite CGs (4.1 km AGL) and their Mq (800-1000 C km) imply mean charge transfers of ~200 C (Lyons et al. 2003b). This supports the conceptual models of Williams (1998) and Huang et al. (1999) suggesting the charge reservoir for SP+CGs would be found within the lower portions of the MCS stratiform region. Large Mq values appear to be necessary, though perhaps not sufficient, condition for sprite generation. In contrast to MCSs, supercells rarely produce sprites, except during their dissipating stage, as stratiform debris develops. The 25 June supercell produced two sprites during its decaying phase when the storm's very last two +CG Mq values reached to 1800 C km (Fig. 15). As in the 19 July MCS, the sprites occurred as the altitude of the centroid of maximum VHF emissions was rapidly decreasing. During its supercell phase, the 29-30 June storm produced many high peak current +CG flashes, which while exhibiting large Mq values, did not exceed the 600 C km 10% sprite probability threshold. After sunset, the convection evolved upscale into an MCS in which large Mq +CGs produced 24 sprites above the stratiform region (0345-0546 UTC).
STEPS investigators were well aware of the importance of popularizing the project, and outreach to the general public was a key component of STEPS. A media day was scheduled for the project and yielded great exposure. Approximately 14 reports on STEPS occurred in the national and international media, including two spots each on NBC and ABC evening news programs as well as stories in USA Today and the New York Times. There also were STEPS reports on British and German television. Locally there were approximately 13 reports, including news broadcasts on network-affiliate television stations in Colorado and Kansas and stories in major regional newspapers such as the Rocky Mountain News. Support from the NSF Informal Science Education program allowed production of a planetarium program, "The Hundred Year Hunt for the Red Sprite", featuring the role of STEPS research in determining the atypical nature of the sprite parent lightning discharges. The program will premiere at a major planetarium during spring 2003 (see http://www.Sky-Fire.TV for details). Local community outreach efforts were organized by Nolan Doesken, research associate at the Colorado Climate Center, in concert with an extension of the Colorado Cooperative Rain and Hail Study (CoCoRaHS; http://ccc.atmos.colostate.edu/~hail/), which uses local volunteer observers to report rain and hail measurements. Approximately 120 volunteers in 3 eastern Colorado counties participated with rain and hail reports during STEPS. These efforts were organized through cooperation with local schools. In particular, Burlington High School students manufactured equipment for deploying hail pads, which were used by the volunteers to measure the number, size, shape, and density of hailstones. STEPS investigators also visited local schools and gave presentations on the project to interested members of the community. STEPS provided research exposure to many undergraduate and graduate students. An NSF-funded Research Experience for Undergraduates (REU) program was conducted in conjunction with STEPS by Colorado State University professors Chandrasekar and Bringi. The program brought groups of undergraduate students to the STEPS field site. The students worked on radar observations as well as operated an instrumented chase vehicle to collect in situ data. The students also participated in the disassembly of the CSU-CHILL radar after the field experiment. The Significant Opportunities in Atmospheric Research (SOARS; http://www.ucar.edu/soars) program co-sponsored by UCAR, NSF, DOE, NASA, and NOAA provided the opportunity for two students to experience weather nowcasting and EFM ballooning during the field campaign and to make short research presentations afterwards. Two SOARS proteges (including one not involved in the STEPS campaign) performed STEPS-related research during the 2001-2002 SOARS summer programs, and both are using this research in their university graduate programs.
Overall, the STEPS project was a great success, providing the research community with comprehensive observations of the evolving kinematic, microphysical, and electrical structures of a diverse array of thunderstorms, including the primary targets of the experiment: LP supercells and +CG storms. The project also provided a wealth of both polarimetric and in situ microphysical data to develop and improve polarimetric radar-based hydrometeor classification and quantification schemes. The combination of polarimetric and multiple-Doppler radar observations, along with LMA-based lightning mapping and in situ observations of electric field structure, is providing new insights into the nature of predominantly +CG thunderstorms. Results from 29 June 2000 suggest that development of a mid-level layer of positive charge, in the place of the usual negative charge layer (a so-called "inverted dipole"), plays a major role in production of +CGs as well as inverted polarity intracloud (IC) lightning flashes. This conclusion is supported by EFM and LMA observations of several other STEPS storms (Table 2). Indeed, one of the more intriguing observations from STEPS was the large number of thunderstorms, even ostensibly weak ones, with apparently inverted-polarity electrical structures. Evidence of this phenomenon has been offered by Rust and MacGorman (2002). This unexpected result sheds new light on the climatological tendency for +CG thunderstorms in the High Plains (Zajac and Rutledge 2001, Carey and Rutledge 2003, Carey et al. 2003), and needs to be addressed by future +CG research. A key remaining question is how such inverted electrical structures come to exist, in both weak and intense thunderstorms. For example, Wiens et al. (2003) show that hail production aloft and +CG flashes are well correlated for 29 June. However, the exact role hail may play in anomalous positive charging, if any, remains unclear and combined kinematic, microphysical, and electrical analysis of more STEPS cases is required. In addition, numerical modeling of key STEPS cases, using electrification schemes coupled to improved microphysical parameterizations, likely will be needed to resolve this issue. The cooperation between the NWS and atmospheric research communities, as well as outreach to the general public, were major goals of STEPS. These two actvities are increasingly identified as major factors in a field project's overall success (e.g., Schultz et al. 2002), and the efforts to maximize outreach and inter-community cooperation during STEPS should help provide a model for future field projects. The results of STEPS research are providing new insights into the physical relationships between thunderstorm kinematics, microphysics, and electrification. As the studies reviewed in this article are broadened to include more cases and more intercomparisons of different observing platforms, vastly improved understanding of these topics should occur. Because of STEPS, the current mysteries of supercell thunderstorms are slowly being unraveled.
Sidebars[ Top ] - [ Next ] - [ Previous ]Cooperation between Research and Forecast Communities The Goodland, KS, National Weather Service (NWS) office was in a unique position to provide the STEPS experiment with logistical assistance, forecast personnel, local expertise, and volunteer field-team participants. Indeed, demonstration of cooperation between the forecast and research communities was a goal of the experiment. Pre-operational phase support included assistance in facility procurement, sensor placement, climatological research, lodging assistance, and building local community support for the project. In addition, much of the local media support during STEPS, including arranging of the STEPS media day, was provided by NWS personnel. During the operational phase, the NWS office was the hub for planning and forecasting. Morning briefings were conducted at the office through the use of both NWS computer resources and web-based NCAR model output. Forecast briefings were conducted as a collaboration between NWS short-term forecasters and project investigators. This allowed local expertise to be integrated into the operational decision process. A briefing summary was disseminated daily over local NOAA Weather Radio stations. Twenty-five volunteers from seven NWS offices participated in various support positions. The roles of these volunteers ranged from project nowcasters to field participants in the Mobile Mesonet and EFM ballooning operations. A two-way radio enhanced communications between the NWS office and the STEPS Operations Center (OC). Fixed mesonet data, output from NWS analysis software (such as LAPS and SCAN), and severe weather reports were relayed to the OC during field operations. The NWS benefited through exposure to unique datasets in near real-time. Forecaster access to M-GLASS soundings, timely reports from the Mobile Mesonet, and web-based CSU-CHILL and NCAR SPOL data all contributed to an improved warning program. Interaction with STEPS researchers, including seminars presented by project investigators, allowed NWS staff to increase their knowledge of convective processes and severe convection forecasting. The procedures and lessons learned during STEPS will be used as a model for NWS participation in the Bow Echo and MCV Experiment (BAMEX) field project, scheduled for the summer of 2003.
Acknowledgements[ Top ] - [ Next ] - [ Previous ]The STEPS project was made possible through funding by the National Science Foundation. In addition, the extensive collaboration with the National Weather Service, in particular the Goodland branch, was a major key to the project's success. The STEPS community also appreciates the great cooperation of the governments and general public of the cities of Burlington, CO, and Goodland, KS. Data collection, as well as installation and teardown of major facilities like CSU-CHILL and S-Pol, was primarily the result of the dedicated staffs of all of the instrument platforms, as well as the tremendous number of enthusiastic undergraduate and graduate students who participated in the field campaign.
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Tables[ Top ] - [ Next ] - [ Previous ]
Table 1. List of STEPS instrumentation. Hit browser back button to return to text.
Table 2. Overview of STEPS cases. N, S, E, W, etc., refer to points of the compass. Date is the starting date; data collection sometimes continued past midnight. +CG: positive cloud-to-ground lightning. -CG: negative cloud-to-ground lightning. IC: intracloud lightning. LP: low precipitation. Hit browser back button to return to text.
Figures[ Top ] - [ Previous ]
Figure 4.
Examples of two inverted-polarity intracloud (IC) flashes
(top) and the initial +CG discharge in the storm (bottom), at the time of
the storm's initial convective surge (time A in Fig.
3). The IC discharges developed into inferred positive charge in
the hail core of the storm, one from directly above the core and the other
from below and off to the side of the core. The +CG was similar to the
second IC but also went to ground, lowering positive charge to ground from
within the hail core and from the downshear part of the storm.
Hit brower back button to return to text.
Figure 9.
Vertical component of the electric field and updraft are plotted versus
time from the pass of the T-28 through the core of the storm between
23:39:00 and 23:43:30. See Fig. 8 for a depiction
of this path relative to storm structures at the aircraft altitude. Four
updraft cores are shaded in red in the lower panel. In the upper panel the
electric field magnitudes while the aircraft is in these cores are shaded
red when positive and blue when negative. In the first southeasternmost
updraft there is hail and positive field, while in the remaining 3 cores,
the last 2 of which are precipitation-free, the field tends to be
negative. Field magnitudes are always less than 10 kV m-1. An
abrupt field change due to nearby lightning is noted just before 23:41:00.
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Figure 12.
Radar reflectivity, electric field, and inferred charge
for the storm on 5 July 2000. (Left) Vertical cross-section of
reflectivity at an azimuth of 45° from the CSU-CHILL radar at
0108 UTC on 6 July, shown with the projection of electric field
vectors in this plane for the balloon flight during 0048-0127 UTC. The
location of the balloon has been corrected for storm motion to show
the storm-relative track at the time of the radar scan. Red bars
show the vertical extent of positively charged regions inferred from
the electric field profile and the lightning distribution, and blue bars
show the vertical extent of negatively charged regions. Other
symbols are explained in the caption for Fig. 7.
(Right) Storm-relative balloon track (lilac line) superimposed on
reflectivity at an elevation of 0.5° from the NCAR-SPOL radar at 0119
UTC. The white dot indicates the horizontal point at which the vertical
plane shown in the left panel intersected the corrected balloon track.
The origin in each panel is the location of the radar that acquired the
data.
Hit brower back button to return to text.
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