The 3 November Tornadic Event During Sydney 2000: Storm Evolution and the Role of Low-Level Boundaries

Total Page:16

File Type:pdf, Size:1020Kb

The 3 November Tornadic Event During Sydney 2000: Storm Evolution and the Role of Low-Level Boundaries 22 WEATHER AND FORECASTING VOLUME 19 The 3 November Tornadic Event during Sydney 2000: Storm Evolution and the Role of Low-Level Boundaries DAVID M. L. SILLS,* JAMES W. W ILSON,1 PAUL I. JOE,* DONALD W. B URGESS,# ROBERT M. WEBB,@ AND NEIL I. FOX&,** *Cloud Physics Research Division, Meteorological Service of Canada, King City, Ontario, Canada 1National Center for Atmospheric Research, Boulder, Colorado #NOAA/National Severe Storms Laboratory, Norman, Oklahoma @Bureau of Meteorology, Sydney, New South Wales, Australia &University of Salford, Greater Manchester, United Kingdom (Manuscript received 20 June 2002, in ®nal form 4 March 2003) ABSTRACT Several severe thunderstorms, including a tornadic supercell, developed on the afternoon of 3 November 2000, during the Sydney 2000 Forecast Demonstration Project. Severe weather included three tornadoes, damaging wind gusts, hail to 7-cm diameter, and heavy rain causing ¯ash ¯ooding. A unique dataset was collected including data from two Doppler radars, a surface mesonet, enhanced upper-air pro®ling, storm photography, and a storm damage survey. Synoptic-scale forcing was weak and mesoscale factors were central to the development of severe weather. In particular, low-level boundaries such as gust fronts and the sea-breeze front played critical roles in the initiation and enhancement of storms, the motion of storms, and the generation of rotation at low levels. The complex and often subtle boundary interactions that led to the development of the tornadic supercell in this case highlight the need for advanced detection and prediction tools to improve the warning capacity for such events. 1. Introduction 3 November 2000 and moved through the project area The Sydney 2000 Forecast Demonstration Project within close range of two Doppler radars. The strongest (FDP) was undertaken to demonstrate both the capa- of these stormsÐan intense supercellÐproduced three bilities of modern nowcasting systems and the bene®ts weak tornadoes, damaging wind gusts, giant hail, and associated with their application in real time (Keenan heavy rain in the western suburbs of Sydney resulting et al. 2002). Meteorological instrumentation used to sup- in damage to about 300 properties. Numerous boundary port this project was located in the Sydney region of layer convergence lines were detected (hereafter re- eastern New South Wales (NSW), Australia, and con- ferred to as boundaries), including gust fronts and the sisted of three radars, a mesonet, and upper-air pro®ling sea-breeze front, and their interactions played a critical systems. The project ran from 5 September 2000 to 16 role in the development of severe weather on this day. November 2000 and included nowcasting support dur- Thus, the event yielded a unique dataset for the inves- ing the Sydney Summer Olympic Games. tigation of tornadic supercell evolution and boundary Severe thunderstorms1 developed on the afternoon of interactions in a region (indeed a hemisphere) that is not currently well represented in the related refereed literature. 1 In Australia, severe thunderstorms are de®ned as those that pro- Section 2 discusses previous research relevant to this duce any of the following: hailstones with a diameter of 2 cm or more, wind gusts of 90 km h21 or greater, ¯ash ¯ooding, and tornadoes study. Section 3 provides the sources of data and the (BoM 1999). methodology used for this investigation. Section 4 de- scribes the prestorm synoptic and mesoscale environ- ments. Section 5 examines in detail the severe storms ** Current af®liation: Department of Atmospheric Science, Uni- versity of MissouriÐColumbia, Columbia, Missouri. and their evolution. Section 6 discusses the different ways in which boundaries contributed to this event and provides suggestions for improved operational now- Corresponding author address: Dr. David M. L. Sills, Cloud Phys- casting of such events. The study's conclusions are pre- ics Research Division, Meteorological Service of Canada, King Weather Radar Research Facility, 14780 Jane St., King City, ON L7B sented in section 7. The performance of FDP severe 1A3, Canada. weather algorithms on this day is examined by Joe et E-mail: [email protected] al. (2004, in this issue) and will not be discussed here. q 2004 American Meteorological Society Unauthenticated | Downloaded 10/04/21 08:42 AM UTC FEBRUARY 2004 SILLS ET AL. 23 FDP forecasting and nowcasting issues associated with storm itself). Maddox et al. (1980) also found preex- this event are further examined by Fox et al. (2004, in isting boundaries to be a source of vertical vorticity for this issue) and Wilson et al. (2004, in this issue). tornadic storms. In addition, they established that in- tense tornadoes associated with storms moving along or 2. Background parallel to a boundary had longer lifetimes than those associated with storms moving across a boundary into Severe thunderstorms occur on a regular basis in cooler air. NSW and are most common between the months of With supercell thunderstorms, tornadoes are consid- November and February (BoM 1999). The east coast of ered much more likely if the midlevel mesocyclone is NSW is particularly susceptible to severe thunder- accompanied by a separate low-level (;0±3 km) me- storms, and Sydney, with its high population density, is socyclone (Davies-Jones and Brooks 1993; Brooks et vulnerable to large amounts of damage. In fact, the Syd- al. 1994). The way in which a thunderstorm develops ney area has experienced a number of signi®cant severe a midlevel mesocyclone has been con®rmed: low-level thunderstorm events in recent times with extensive dam- horizontal vorticity associated with strong environmen- age due to giant hail and violent winds (e.g., Mitchell tal vertical wind shear is tilted by the storm's updraft and Grif®ths 1993; BoM 1995, 1999). Many of these (see Davies-Jones et al. 2001). However, research has storms were intense supercells. The Sydney region also pointed to the low-level environment in the vicinity of has the highest average annual tornado incidence in boundaries as the source of vorticity for low-level me- 2 Australia at six per 26 000 km , though most tornadoes socyclones. are usually weak and short lived (Geerts and Noke- Numerical modeling studies have shown that a low- Raico 1995). level mesocyclone develops when baroclinically gen- The effect of boundaries, such as the sea-breeze and erated horizontal vorticity, acquired by an air parcel gust fronts, on thunderstorms in this region has received moving along the cool side of a storm-generated bound- little formal attention. However, research in North ary, is tilted and stretched by the storm updraft (e.g., America has shown that boundaries are preferred lo- Rotunno and Klemp 1985; Davies-Jones and Brooks cations for convective initiation due mainly to enhanced 1993). Atkins et al. (1999) used a numerical model to lift, and can act to enhance the intensity of storms, in- simulate the evolution of supercell thunderstorms in- cluding those that produce severe weather. Purdom teracting with boundaries. They found that, when a pre- (1976) used satellite imagery to show that intersecting existing boundary was present, air from the cool side boundaries often initiate intense convective develop- of this boundary provided much of the horizontal vor- ment. Wilson and Schreiber (1986) found that 79% of ticity necessary for low-level mesocyclogenesis, while storms in their study were initiated in association with the horizontal vorticity associated with storm-generated radar-observed boundaries. This increased to 95% for storms with radar re¯ectivities of 60 dBZ or greater. boundaries played only a minor role. Numerical mod- Several recent ®eld experiments have continued to ex- eling studies have also suggested a variety of methods amine the issue of convective initiation at boundaries by which tornadogenesis occurs following the devel- (e.g., Sills et al. 2002; Weckwerth and Parsons 2002). opment of the low-level mesocyclone, including a Boundaries are also known to have a large impact on downward-building vortex via the ``dynamic pipe ef- the structure, duration, and movement of thunderstorms. fect'' (Trapp and Davies-Jones 1997), two-celled vortex The organization and motion of severe storms was found instabilities within the low-level mesocyclone (Rotunno by Weaver (1979) to be in¯uenced more by intense con- 1986), and increasing mesocyclonic rotation that in- vergence at boundaries than by upper-level winds. Cor- duces low-level convergence and intensi®es vortex ®di (1998) showed that mesoscale convective systems stretching (Wicker and Wilhelmson 1995). propagate in the direction of the greatest system-relative Field observations tend to support the idea that pre- low-level convergence. This convergence is typically existing boundaries are frequently the source of vorticity associated with a low-level jet but can also be provided for low-level mesocyclones and subsequent tornadoes. by boundaries. Wilson and Megenhardt (1997), among Markowski et al. (1998) found that nearly 70% of sig- others, have shown that a storm's organization and life- ni®cant supercell tornadoes during the 1995 Veri®cation time are greatly enhanced when storm motion is roughly of the Origins of Rotation in Tornadoes Experiment equal to that of the storm's gust front. (VORTEX; see Rasmussen et al. 1994) occurred near Finally, it has been found that boundaries can provide preexisting boundaries. Wakimoto et al. (1998), Ras- the vorticity necessary for the development of rotation mussen et al. (2000), Monteverdi et al. (2001), and Zie- at low levels within a storm. Wakimoto and Wilson gler et al. (2001), among others, have also documented (1989) and Brady and Szoke (1989) showed that a thun- cases of tornadic supercell storms involving preexisting derstorm without the persistent midlevel (;3±7 km boundaries. Additional numerical modeling and obser- AGL) mesocyclone that de®nes a supercell can produce vational studies are clearly needed to verify the theories a tornado by stretching vertical vorticity located along related to low-level mesocyclogenesis and tornadoge- a preexisting boundary (i.e., one not generated by the nesis described above.
Recommended publications
  • Tornadoes & Funnel Clouds Fake Tornado
    NOAA’s National Weather Service Basic Concepts of Severe Storm Spotting 2009 – Rusty Kapela Milwaukee/Sullivan weather.gov/milwaukee Housekeeping Duties • How many new spotters? - if this is your first spotter class & you intend to be a spotter – please raise your hands. • A basic spotter class slide set & an advanced spotter slide set can be found on the Storm Spotter Page on the Milwaukee/Sullivan web site (handout). • Utilize search engines and You Tube to find storm videos and other material. Class Agenda • 1) Why we are here • 2) National Weather Service Structure & Role • 3) Role of Spotters • 4) Types of reports needed from spotters • 5) Thunderstorm structure • 6) Shelf clouds & rotating wall clouds • 7) You earn your “Learner’s Permit” Thunderstorm Structure Those two cloud features you were wondering about… Storm Movement Shelf Cloud Rotating Wall Cloud Rain, Hail, Downburst winds Tornadoes & Funnel Clouds Fake Tornado It’s not rotating & no damage! Let’s Get Started! Video Why are we here? Parsons Manufacturing 120-140 employees inside July 13, 2004 Roanoke, IL Storm shelters F4 Tornado – no injuries or deaths. They have trained spotters with 2-way radios Why Are We Here? National Weather Service’s role – Issue warnings & provide training Spotter’s role – Provide ground-truth reports and observations We need (more) spotters!! National Weather Service Structure & Role • Federal Government • Department of Commerce • National Oceanic & Atmospheric Administration • National Weather Service 122 Field Offices, 6 Regional, 13 River Forecast Centers, Headquarters, other specialty centers Mission – issue forecasts and warnings to minimize the loss of life & property National Weather Service Forecast Office - Milwaukee/Sullivan Watch/Warning responsibility for 20 counties in southeast and south- central Wisconsin.
    [Show full text]
  • The Lagrange Torando During Vortex2. Part Ii: Photogrammetry Analysis of the Tornado Combined with Dual-Doppler Radar Data
    6.3 THE LAGRANGE TORANDO DURING VORTEX2. PART II: PHOTOGRAMMETRY ANALYSIS OF THE TORNADO COMBINED WITH DUAL-DOPPLER RADAR DATA Nolan T. Atkins*, Roger M. Wakimoto#, Anthony McGee*, Rachel Ducharme*, and Joshua Wurman+ *Lyndon State College #National Center for Atmospheric Research +Center for Severe Weather Research Lyndonville, VT 05851 Boulder, CO 80305 Boulder, CO 80305 1. INTRODUCTION studies, however, that have related the velocity and reflectivity features observed in the radar data to Over the years, mobile ground-based and air- the visual characteristics of the condensation fun- borne Doppler radars have collected high-resolu- nel, debris cloud, and attendant surface damage tion data within the hook region of supercell (e.g., Bluestein et al. 1993, 1197, 204, 2007a&b; thunderstorms (e.g., Bluestein et al. 1993, 1997, Wakimoto et al. 2003; Rasmussen and Straka 2004, 2007a&b; Wurman and Gill 2000; Alexander 2007). and Wurman 2005; Wurman et al. 2007b&c). This paper is the second in a series that pre- These studies have revealed details of the low- sents analyses of a tornado that formed near level winds in and around tornadoes along with LaGrange, WY on 5 June 2009 during the Verifica- radar reflectivity features such as weak echo holes tion on the Origins of Rotation in Tornadoes Exper- and multiple high-reflectivity rings. There are few iment (VORTEX 2). VORTEX 2 (Wurman et al. 5 June, 2009 KCYS 88D 2002 UTC 2102 UTC 2202 UTC dBZ - 0.5° 100 Chugwater 100 50 75 Chugwater 75 330° 25 Goshen Co. 25 km 300° 50 Goshen Co. 25 60° KCYS 30° 30° 50 80 270° 10 25 40 55 dBZ 70 -45 -30 -15 0 15 30 45 ms-1 Fig.
    [Show full text]
  • June 18, 2017 Landspout Tornadoes
    June 18, 2017 Landspout Tornadoes During the evening hours of Sunday, June 18, thunderstorms developed in the vicinity of a cold front over Reagan and Upton Counties.As a result of intense heating and an incredible amount of instability along this boundary, three EF0 landspout* (see definitionat bottom of report) tornadoes touched down in Reagan and southeast Upton Counties between 7 and 8 pm CDT. These tornadoes occurred in open country and no damage was reported. Tornado #1 – EF0: Southwest Reagan County to Southeast Upton County (~7:05-7:13 pm CDT) The first thunderstorm developed around 6:00 pm near Big Lake, TX and slowly moved west along and near US Hwy 67. Law enforcement officersand folks in the area viewed and took images of a tornado that developed 1-2 miles south of US Hwy 67 roughly 14 miles east of Big Lake and continued westward through open fields insouth east portions of Upton County. The tornado was narrow, perhaps 50-75 yards in width and no damage was reported with this tornado. Photo by Maybell Carrasco Photo by Greg Romero Tornado #2 – EF0: Central Reagan Photo by Shanna Gibson County (~8:00 pm CDT) Another thunderstorm moving west, entered eastern Reagan County around 7:30 pm. As this storm approached Big Lake, a second tornado was spotted around 8 pm roughly 6-7 miles northeast of Big Lake, 2-3 miles east of SH 137. This tornado was very short-lived and went undetected on radar. It occurred in open country and no damage was reported. Tornado #3 – EF0: Northeast Reagan County – approximately 20-25 miles north of Big Lake.
    [Show full text]
  • The Unnamed Atlantic Tropical Storms of 1970
    944 MONTHLY WEATHER REVIEW Vol. 99, No. 12 UDC 551.515.23:661.507.35!2:551.607.362.2(261) “1970.08-.lo” THE UNNAMED ATLANTIC TROPICAL STORMS OF 1970 DAVID B. SPIEGLER Allied Research Associates, Inc., Concord, Mass. ABSTRACT A detailed analysis of conventional and aircraft reconnaissance data and satellite pictures for two unnamed Atlantic Ocean cyclones during 1970 indicates that the stqrms were of tropical nature and were probably of at least minimal hurricane intensity for part of their life history. Prior to becoming a hurricane, one of the storms exhibited characteristics not typical of any of the recognized classical cyclone types [i.e., tropical, extratropical, and subtropical (Kona)]. The implications of this are discussed and the concept of semitropical cyclones as a separate cyclone category is advanced. 6. INTRODUCTION ing recognition of hybrid-type storms provides additional support for the recommendation. During the 1970 tropical cyclone season, tn7o storms occurred that were not given names at the time. The 2. UNNAMED STORM NO. I-AUG. Q3-$8, 6970 National Hurricane Center (NHC) monitored their prog- ress and issued bulletins throughout their life history but A mell-organized tropical disturbance noted on satellite they mere not officially recognized as tropical cyclones of pictures during August 8, south of the Cape Verde Islands tropical storm or hurricane intensity. In their annual post- in the far eastern tropical Atlantic, intensified to ti strong season summary of the hurricane season, NHC discusses depression as it moved westmarcl. On Thursday, August 13, these storms in some detail (Simpson and Pelissier 1971) some further intensification of the system appeared to be but thej- are not presently included in the official list of taking place while the depression was about 250 mi 1970 tropical storms.
    [Show full text]
  • Skip Talbot Photography by Jennifer Brindley
    STORM SPOTTING Skip Talbot SECRETS Photography by Jennifer Brindley Ubl and others Topics • Supercell Visualization • Radar Presentation • Structure Identification • Storm Properties • Walk Through Disclaimers • Attend spotter training • Your safety is more important than spotting, photos, video, or tornado reports Supercell Visualization Lemon and Doswell 1979 Supercell Visualization Supercell Visualization Photo: Chris Gullikson Supercell Visualization Photo: Chris Gullikson Anvil Anvil Backshear Mammatus Cumulonimbus Flanking Line Cloud Base Striations Precipitation Wall Cloud Precipitation-free Base Supercell Visualization Radar Presentation Classic Hook Echo Radar Presentation Android / iOS Android Windows GrLevel3 / GrLevel2 Radar Presentation Classic Hook Echo Radar Presentation Radar Presentation Radar Presentation Radar Presentation Storm Spotting Zoo • Bear’s Cage • Whale’s Mouth • Beaver Tail • Horseshoe • Ghost Train Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe - Cyclical supercell with multiple tornadoes HorseshoeHorseshoe HorseshoeHorseshoe Horseshoe Horseshoe – Anticyclonic Funnel Horseshoe Horseshoe – Anticyclonic Funnel Horseshoe - No Wall Cloud Horseshoe - No Wall Cloud
    [Show full text]
  • Central Region Technical Attachment 95-08 Examination of an Apparent
    CRH SSD APRIL 1995 CENTRAL REGION TECHNICAL ATTACHMENT 95-08 EXAMINATION OF AN APPARENT LANDSPOUT IN THE EASTERN BLACK HILLS OF WESTERN SOUTH DAKOTA David L. Hintz1 and Matthew J. Bunkers National Weather Service Office Rapid City, South Dakota 1. Abstract On June 29, 1994, an apparent landspout occurred in the Black Hills of South Dakota. This landspout exhibited most of the features characteristic of traditional landspouts documented in eastern Colorado. The landspout lasted 3 to 8 minutes, had a width of less than 20 m and a path of 1 to 3 km, produced estimated wind speeds of Fl intensity (33 to 50 m s1), and emanated from a towering cumulus (TCU) cloud located along a quasi-stationary convergencq/cyclonic shear zone. No radar echo was observed with this event; however, a supercell thunderstorm was located 80-100 km to the east. National Weather Service meteorologists surveyed the “very localized” damage area and ruled out the possibility of the landspout being related to microburst, gustnado, or dust devil activity, as winds away from the landspout were less than 3 m s1. The landspout apparently “detached” from the parent TCU and damaged a farm which resulted in $1,000 dollars in expenses. 2. Introduction During the late 1980’s and early 1990’s researchers documented a phe­ nomenon with subtle differences from traditional tornadoes and waterspouts, herein referred to as the landspout (Seargent 1994; Brady and Szoke 1988, 1989; Bluestein 1985). The term “landspout” was actually coined by Bluestein (I985)(in the formal literature) when he observed this type of vortex along an Oklahoma squall line.
    [Show full text]
  • Storm Spotting – Solidifying the Basics PROFESSOR PAUL SIRVATKA COLLEGE of DUPAGE METEOROLOGY Focus on Anticipating and Spotting
    Storm Spotting – Solidifying the Basics PROFESSOR PAUL SIRVATKA COLLEGE OF DUPAGE METEOROLOGY HTTP://WEATHER.COD.EDU Focus on Anticipating and Spotting • What do you look for? • What will you actually see? • Can you identify what is going on with the storm? Is Gilbert married? Hmmmmm….rumor has it….. Its all about the updraft! Not that easy! • Various types of storms and storm structures. • A tornado is a “big sucky • Obscuration of important thing” and underneath the features make spotting updraft is where it forms. difficult. • So find the updraft! • The closer you are to a storm the more difficult it becomes to make these identifications. Conceptual models Reality is much harder. Basic Conceptual Model Sometimes its easy! North Central Illinois, 2-28-17 (Courtesy of Matt Piechota) Other times, not so much. Reality usually is far more complicated than our perfect pictures Rain Free Base Dusty Outflow More like reality SCUD Scattered Cumulus Under Deck Sigh...wall clouds! • Wall clouds help spotters identify where the updraft of a storm is • Wall clouds may or may not be present with tornadic storms • Wall clouds may be seen with any storm with an updraft • Wall clouds may or may not be rotating • Wall clouds may or may not result in tornadoes • Wall clouds should not be reported unless there is strong and easily observable rotation noted • When a clear slot is observed, a well written or transmitted report should say as much Characteristics of a Tornadic Wall Cloud • Surface-based inflow • Rapid vertical motion (scud-sucking) • Persistent • Persistent rotation Clear Slot • The key, however, is the development of a clear slot Prof.
    [Show full text]
  • Synoptic Meteorology
    Lecture Notes on Synoptic Meteorology For Integrated Meteorological Training Course By Dr. Prakash Khare Scientist E India Meteorological Department Meteorological Training Institute Pashan,Pune-8 186 IMTC SYLLABUS OF SYNOPTIC METEOROLOGY (FOR DIRECT RECRUITED S.A’S OF IMD) Theory (25 Periods) ❖ Scales of weather systems; Network of Observatories; Surface, upper air; special observations (satellite, radar, aircraft etc.); analysis of fields of meteorological elements on synoptic charts; Vertical time / cross sections and their analysis. ❖ Wind and pressure analysis: Isobars on level surface and contours on constant pressure surface. Isotherms, thickness field; examples of geostrophic, gradient and thermal winds: slope of pressure system, streamline and Isotachs analysis. ❖ Western disturbance and its structure and associated weather, Waves in mid-latitude westerlies. ❖ Thunderstorm and severe local storm, synoptic conditions favourable for thunderstorm, concepts of triggering mechanism, conditional instability; Norwesters, dust storm, hail storm. Squall, tornado, microburst/cloudburst, landslide. ❖ Indian summer monsoon; S.W. Monsoon onset: semi permanent systems, Active and break monsoon, Monsoon depressions: MTC; Offshore troughs/vortices. Influence of extra tropical troughs and typhoons in northwest Pacific; withdrawal of S.W. Monsoon, Northeast monsoon, ❖ Tropical Cyclone: Life cycle, vertical and horizontal structure of TC, Its movement and intensification. Weather associated with TC. Easterly wave and its structure and associated weather. ❖ Jet Streams – WMO definition of Jet stream, different jet streams around the globe, Jet streams and weather ❖ Meso-scale meteorology, sea and land breezes, mountain/valley winds, mountain wave. ❖ Short range weather forecasting (Elementary ideas only); persistence, climatology and steering methods, movement and development of synoptic scale systems; Analogue techniques- prediction of individual weather elements, visibility, surface and upper level winds, convective phenomena.
    [Show full text]
  • Chapter 3 Mesoscale Processes and Severe Convective Weather
    CHAPTER 3 JOHNSON AND MAPES Chapter 3 Mesoscale Processes and Severe Convective Weather RICHARD H. JOHNSON Department of Atmospheric Science. Colorado State University, Fort Collins, Colorado BRIAN E. MAPES CIRESICDC, University of Colorado, Boulder, Colorado REVIEW PANEL: David B. Parsons (Chair), K. Emanuel, J. M. Fritsch, M. Weisman, D.-L. Zhang 3.1. Introduction tion, mesoscale phenomena occur on horizontal scales between ten and several hundred kilometers. This Severe convective weather events-tornadoes, hail­ range generally encompasses motions for which both storms, high winds, flash floods-are inherently mesoscale ageostrophic advections and Coriolis effects are im­ phenomena. While the large-scale flow establishes envi­ portant (Emanuel 1986). In general, we apply such a ronmental conditions favorable for severe weather, pro­ definition here; however, strict application is difficult cesses on the mesoscale initiate such storms, affect their since so many mesoscale phenomena are "multiscale." evolution, and influence their environment. A rich variety For example, a -100-km-Iong gust front can be less of mesocale processes are involved in severe weather, than -1 km across. The triggering of a storm by the ranging from environmental preconditioning to storm initi­ collision of gust fronts can actually occur on a ation to feedback of convection on the environment. In the -lOO-m scale (the microscale). Nevertheless, we will space available, it is not possible to treat all of these treat this overall process (and others similar to it) as processes in detail. Rather, we will introduce s~veral mesoscale since gust fronts are generally regarded as general classifications of mesoscale processes relatmg to mesoscale phenomena.
    [Show full text]
  • Glossary of Severe Weather Terms
    Glossary of Severe Weather Terms -A- Anvil The flat, spreading top of a cloud, often shaped like an anvil. Thunderstorm anvils may spread hundreds of miles downwind from the thunderstorm itself, and sometimes may spread upwind. Anvil Dome A large overshooting top or penetrating top. -B- Back-building Thunderstorm A thunderstorm in which new development takes place on the upwind side (usually the west or southwest side), such that the storm seems to remain stationary or propagate in a backward direction. Back-sheared Anvil [Slang], a thunderstorm anvil which spreads upwind, against the flow aloft. A back-sheared anvil often implies a very strong updraft and a high severe weather potential. Beaver ('s) Tail [Slang], a particular type of inflow band with a relatively broad, flat appearance suggestive of a beaver's tail. It is attached to a supercell's general updraft and is oriented roughly parallel to the pseudo-warm front, i.e., usually east to west or southeast to northwest. As with any inflow band, cloud elements move toward the updraft, i.e., toward the west or northwest. Its size and shape change as the strength of the inflow changes. Spotters should note the distinction between a beaver tail and a tail cloud. A "true" tail cloud typically is attached to the wall cloud and has a cloud base at about the same level as the wall cloud itself. A beaver tail, on the other hand, is not attached to the wall cloud and has a cloud base at about the same height as the updraft base (which by definition is higher than the wall cloud).
    [Show full text]
  • Chapter 7 – Atmospheric Circulations (Pp
    Chapter 7 - Title Chapter 7 – Atmospheric Circulations (pp. 165-195) Contents • scales of motion and turbulence • local winds • the General Circulation of the atmosphere • ocean currents Wind Examples Fig. 7.1: Scales of atmospheric motion. Microscale → mesoscale → synoptic scale. Scales of Motion • Microscale – e.g. chimney – Short lived ‘eddies’, chaotic motion – Timescale: minutes • Mesoscale – e.g. local winds, thunderstorms – Timescale mins/hr/days • Synoptic scale – e.g. weather maps – Timescale: days to weeks • Planetary scale – Entire earth Scales of Motion Table 7.1: Scales of atmospheric motion Turbulence • Eddies : internal friction generated as laminar (smooth, steady) flow becomes irregular and turbulent • Most weather disturbances involve turbulence • 3 kinds: – Mechanical turbulence – you, buildings, etc. – Thermal turbulence – due to warm air rising and cold air sinking caused by surface heating – Clear Air Turbulence (CAT) - due to wind shear, i.e. change in wind speed and/or direction Mechanical Turbulence • Mechanical turbulence – due to flow over or around objects (mountains, buildings, etc.) Mechanical Turbulence: Wave Clouds • Flow over a mountain, generating: – Wave clouds – Rotors, bad for planes and gliders! Fig. 7.2: Mechanical turbulence - Air flowing past a mountain range creates eddies hazardous to flying. Thermal Turbulence • Thermal turbulence - essentially rising thermals of air generated by surface heating • Thermal turbulence is maximum during max surface heating - mid afternoon Questions 1. A pilot enters the weather service office and wants to know what time of the day she can expect to encounter the least turbulent winds at 760 m above central Kansas. If you were the weather forecaster, what would you tell her? 2.
    [Show full text]
  • Storm Observation
    Storm Observation The Basics of Severe Thunderstorms and Tornadoes By Ethan Schisler Introduction • About Me: • Storm Chasing since 2003 • Have chased from Montana to Florida • Observed over 100 tornadoes • Several strong hurricanes • Blizzards • Ice Storms Goal: Minimize the risks and maximize the positives Introduction • Storm Observation Can Be: • Exciting • Rewarding • Awe Inspiring • Fun • And Informative • Storm Observation Can Also Be…. • Dangerous • Time Consuming • And even costly….. Goal: Minimize the risks and maximize the positives • EF0 to EF5 • EF0 – 60-85 mph • EF1 – 86-110 mph • EF2 – 111-135 mph • EF3 – 136-165 mph • EF4 – 166-200 mph • EF5 – 200+ mph Enhanced Fujita Scale Why Storm Spotting? • Limitations in Doppler Radar • Warning Verification • To gain additional knowledge July 19 2018: Marshalltown, IA -Large EF-3 Tornado impacts town -Up to 43 minutes lead time -Only minor injuries and no deaths –Attributed to advanced warning, radar, and storm spotters! Storm Observation: Equipment • Cell phone/computer with radar application • Radarscope (Iphone, Mac, Windows); PYKL3 (Android); GR Level 3 (Windows) • Reliable vehicle to get from point A to point B • A partner to navigate • Stay distraction free while driving to the target area or storms • Video camera or still camera for documentation • Road maps and weather radio • Cell phone data can be sketchy in rural areas…have a backup plan • Marginal Risk • Slight Risk • Moderate Risk • High Risk Storm Prediction Center Outlooks Basics of Storm Development • Instability •
    [Show full text]