Radar Signatures That May Indicate Strong/Severe Storms
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23 Public Reaction to Impact Based Warnings During an Extreme Hail Event in Abilene, Texas
23 PUBLIC REACTION TO IMPACT BASED WARNINGS DURING AN EXTREME HAIL EVENT IN ABILENE, TEXAS Mike Johnson, Joel Dunn, Hector Guerrero and Dr. Steve Lyons NOAA, National Weather Service, San Angelo, TX Dr. Laura Myers University of Alabama, Tuscaloosa, AL Dr. Vankita Brown NOAA/National Weather Service Headquarters, Silver Spring, MD 1. INTRODUCTION 3. HOW THE PUBLIC REACTED TO THE WARNINGS A powerful, supercell thunderstorm with hail up to the Of the 324 respondents, 86% were impacted by the size of softballs (>10 cm in diameter) and damaging extreme hail event. Listed below are highlighted winds impacted Abilene, Texas, during the Children's responses to some survey questions. Art and Literacy Festival and parade on June 12, 2014. It caused several minor injuries. This storm produced 3.1 Survey question # 3 widespread damage to vehicles, homes, and businesses, costing an estimated $400 million. More People rely on various sources of information when than 200 city vehicles sustained significant damage and making a decision to prepare for hazardous weather Abilene Fire Station #4 was rendered uninhabitable. events. Please indicate the sources that influenced your Giant hail of this magnitude is a rare phenomenon decisions on how to prepare BEFORE this severe (Blair, et al., 2011), but is responsible for a thunderstorm event occurred. disproportionate amount of damage. 1) Local television In support of a larger National Weather Service 2) Websites/social media (NWS) effort, the San Angelo Texas Weather Forecast 3) Wireless alerts/cell phones -
From Improving Tornado Warnings: from Observation to Forecast
Improving Tornado Warnings: from Observation to Forecast John T. Snow Regents’ Professor of Meteorology Dean Emeritus, College of Atmospheric and Geographic Sciences, The University of Oklahoma Major contributions from: Dr. Russel Schneider –NOAA Storm Prediction Center Dr. David Stensrud – NOAA National Severe Storms Laboratory Dr. Ming Xue –Center for Analysis and Prediction of Storms, University of Oklahoma Dr. Lou Wicker –NOAA National Severe Storms Laboratory Hazards Caucus Alliance Briefing Tornadoes: Understanding how they develop and providing early warning 10:30 am – 11:30 am, Wednesday, 21 July 2010 Senate Capitol Visitors Center 212 Each Year: ~1,500 tornadoes touch down in the United States, causing over 80 deaths, 100s of injuries, and an estimated $1.1 billion in damages Statistics from NOAA Storm Prediction Center Supercell –A long‐lived rotating thunderstorm the primary type of thunderstorm producing strong and violent tornadoes Present Warning System: Warn on Detection • A Warning is the culmination of information developed and distributed over the preceding days sequence of day‐by‐day forecasts identifies an area of high threat •On the day, storm spotters deployed; radars monitor formation, growth of thunderstorms • Appearance of distinct cloud or radar echo features tornado has formed or is about to do so Warning is generated, distributed Present Warning System: Warn on Detection Radar at 2100 CST Radar at 2130 CST with Warning Thunderstorms are monitored using radar A warning is issued based on the detected and -
Glossary Compiled with Use of Collier, C
Glossary Compiled with use of Collier, C. (Ed.): Applications of Weather Radar Systems, 2nd Ed., John Wiley, Chichester 1996 Rinehard, R.E.: Radar of Meteorologists, 3rd Ed. Rinehart Publishing, Grand Forks, ND 1997 DoC/NOAA: Fed. Met. Handbook No. 11, Doppler Radar Meteorological Observations, Part A-D, DoC, Washington D.C. 1990-1992 ACU Antenna Control Unit. AID converter ADC. Analog-to-digitl;tl converter. The electronic device which converts the radar receiver analog (voltage) signal into a number (or count or quanta). ADAS ARPS Data Analysis System, where ARPS is Advanced Regional Prediction System. Aliasing The process by which frequencies too high to be analyzed with the given sampling interval appear at a frequency less than the Nyquist frequency. Analog Class of devices in which the output varies continuously as a function of the input. Analysis field Best estimate of the state of the atmosphere at a given time, used as the initial conditions for integrating an NWP model forward in time. Anomalous propagation AP. Anaprop, nonstandard atmospheric temperature or moisture gradients will cause all or part of the radar beam to propagate along a nonnormal path. If the beam is refracted downward (superrefraction) sufficiently, it will illuminate the ground and return signals to the radar from distances further than is normally associated with ground targets. 282 Glossary Antenna A transducer between electromagnetic waves radiated through space and electromagnetic waves contained by a transmission line. Antenna gain The measure of effectiveness of a directional antenna as compared to an isotropic radiator, maximum value is called antenna gain by convention. -
Downloaded 09/30/21 06:43 PM UTC JUNE 1996 MONTEVERDI and JOHNSON 247
246 WEATHER AND FORECASTING VOLUME 11 A Supercell Thunderstorm with Hook Echo in the San Joaquin Valley, California JOHN P. MONTEVERDI Department of Geosciences, San Francisco State University, San Francisco, California STEVE JOHNSON Association of Central California Weather Observers, Fresno, California (Manuscript received 30 January 1995, in ®nal form 9 February 1996) ABSTRACT This study documents a damaging supercell thunderstorm that occurred in California's San Joaquin Valley on 5 March 1994. The storm formed in a ``cold sector'' environment similar to that documented for several other recent Sacramento Valley severe thunderstorm events. Analyses of hourly subsynoptic surface and radar data suggested that two thunderstorms with divergent paths developed from an initial echo that had formed just east of the San Francisco Bay region. The southern storm became severe as it ingested warmer, moister boundary layer air in the south-central San Joaquin Valley. A well-developed hook echo with a 63-dBZ core was observed by a privately owned 5-cm radar as the storm passed through the Fresno area. Buoyancy parameters and ho- dograph characteristics were obtained both for estimated conditions for Fresno [on the basis of a modi®ed morning Oakland (OAK) sounding] and for the actual storm environment (on the basis of a radiosonde launched from Lemoore Naval Air Station at about the time of the storm's passage through the Fresno area). Both the estimated and actual hodographs essentially were straight and suggested storm splitting. Although the actual CAPE was similar to that which was estimated, the observed magnitude of the low-level shear was considerably greater than the estimate. -
Comparison of Polarimetric Radar Signatures in Hailstorms Simultaneously Observed by C-Band and S-Band Radars
ERAD 2012 - THE SEVENTH EUROPEAN CONFERENCE ON RADAR IN METEOROLOGY AND HYDROLOGY Comparison of polarimetric radar signatures in hailstorms simultaneously observed by C-band and S-band radars. R. Kaltenboeck1 and A. Ryzhkov2 1Austrocontrol - Aviation Weather Service, Vienna and Institute of Meteorology and Geophysics, University of Innsbruck, Austria, [email protected] 2 Cooperative Institute for Mesoscale Meteorological Studies, Atmospheric Radar Research Center, University of Oklahoma and National Severe Storms Laboratory, NOAA, Norman, OK, USA, [email protected] (Dated: 16 May 2012) 1. Introduction Direct comparisons of polarimetric signatures in hailstorms simultaneously observed by C-band and S-band radars in Oklahoma reveal numerous differences. Vertical profiles of radar reflectivity ZH, differential reflectivity ZDR, and cross-correlation coefficient ρhv in the major downdraft cores of hailstorms at S and C bands reflect fundamental differences in backscattering by melting hailstones and large raindrops at the two wavelengths (e.g. Kaltenboeck and Ryzhkov 2012). The focus of this study is to examine the signatures at the periphery of the major reflectivity cores which are affected by strong size sorting (Kumjian and Ryzhkov 2009), three-body scattering (TBSS, Lemon 1998), attenuation (Borowska et al. 2011 ), updrafts (e.g., Straka et al. 2000), side lobe contamination, nonuniform beam filling and reflectivity gradients across the beam (Ryzhkov 2007), depolarization (Ryzhkov and Zrnić 2007), low signal to noise ratio (SNR), and range dependency which manifest themselves very differently at S and C bands. Some of these factors are closely associated with hail itself and its size and their comparative analysis may provide additional insight into the microphysics of hail generation and fallout. -
ESSENTIALS of METEOROLOGY (7Th Ed.) GLOSSARY
ESSENTIALS OF METEOROLOGY (7th ed.) GLOSSARY Chapter 1 Aerosols Tiny suspended solid particles (dust, smoke, etc.) or liquid droplets that enter the atmosphere from either natural or human (anthropogenic) sources, such as the burning of fossil fuels. Sulfur-containing fossil fuels, such as coal, produce sulfate aerosols. Air density The ratio of the mass of a substance to the volume occupied by it. Air density is usually expressed as g/cm3 or kg/m3. Also See Density. Air pressure The pressure exerted by the mass of air above a given point, usually expressed in millibars (mb), inches of (atmospheric mercury (Hg) or in hectopascals (hPa). pressure) Atmosphere The envelope of gases that surround a planet and are held to it by the planet's gravitational attraction. The earth's atmosphere is mainly nitrogen and oxygen. Carbon dioxide (CO2) A colorless, odorless gas whose concentration is about 0.039 percent (390 ppm) in a volume of air near sea level. It is a selective absorber of infrared radiation and, consequently, it is important in the earth's atmospheric greenhouse effect. Solid CO2 is called dry ice. Climate The accumulation of daily and seasonal weather events over a long period of time. Front The transition zone between two distinct air masses. Hurricane A tropical cyclone having winds in excess of 64 knots (74 mi/hr). Ionosphere An electrified region of the upper atmosphere where fairly large concentrations of ions and free electrons exist. Lapse rate The rate at which an atmospheric variable (usually temperature) decreases with height. (See Environmental lapse rate.) Mesosphere The atmospheric layer between the stratosphere and the thermosphere. -
The Birth and Early Years of the Storm Prediction Center
AUGUST 1999 CORFIDI 507 The Birth and Early Years of the Storm Prediction Center STEPHEN F. C ORFIDI NOAA/NWS/NCEP/Storm Prediction Center, Norman, Oklahoma (Manuscript received 12 August 1998, in ®nal form 15 January 1999) ABSTRACT An overview of the birth and development of the National Weather Service's Storm Prediction Center, formerly known as the National Severe Storms Forecast Center, is presented. While the center's immediate history dates to the middle of the twentieth century, the nation's ®rst centralized severe weather forecast effort actually appeared much earlier with the pioneering work of Army Signal Corps of®cer J. P. Finley in the 1870s. Little progress was made in the understanding or forecasting of severe convective weather after Finley until the nascent aviation industry fostered an interest in meteorology in the 1920s. Despite the increased attention, forecasts for tornadoes remained a rarity until Air Force forecasters E. J. Fawbush and R. C. Miller gained notoriety by correctly forecasting the second tornado to strike Tinker Air Force Base in one week on 25 March 1948. The success of this and later Fawbush and Miller efforts led the Weather Bureau (predecessor to the National Weather Service) to establish its own severe weather unit on a temporary basis in the Weather Bureau± Army±Navy (WBAN) Analysis Center Washington, D.C., in March 1952. The WBAN severe weather unit became a permanent, ®ve-man operation under the direction of K. M. Barnett on 21 May 1952. The group was responsible for the issuance of ``bulletins'' (watches) for tornadoes, high winds, and/or damaging hail; outlooks for severe convective weather were inaugurated in January 1953. -
Tornadogenesis in a Simulated Mesovortex Within a Mesoscale Convective System
3372 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 69 Tornadogenesis in a Simulated Mesovortex within a Mesoscale Convective System ALEXANDER D. SCHENKMAN,MING XUE, AND ALAN SHAPIRO Center for Analysis and Prediction of Storms, and School of Meteorology, University of Oklahoma, Norman, Oklahoma (Manuscript received 3 February 2012, in final form 23 April 2012) ABSTRACT The Advanced Regional Prediction System (ARPS) is used to simulate a tornadic mesovortex with the aim of understanding the associated tornadogenesis processes. The mesovortex was one of two tornadic meso- vortices spawned by a mesoscale convective system (MCS) that traversed southwestern and central Okla- homa on 8–9 May 2007. The simulation used 100-m horizontal grid spacing, and is nested within two outer grids with 400-m and 2-km grid spacing, respectively. Both outer grids assimilate radar, upper-air, and surface observations via 5-min three-dimensional variational data assimilation (3DVAR) cycles. The 100-m grid is initialized from a 40-min forecast on the 400-m grid. Results from the 100-m simulation provide a detailed picture of the development of a mesovortex that produces a submesovortex-scale tornado-like vortex (TLV). Closer examination of the genesis of the TLV suggests that a strong low-level updraft is critical in converging and amplifying vertical vorticity associated with the mesovortex. Vertical cross sections and backward trajectory analyses from this low-level updraft reveal that the updraft is the upward branch of a strong rotor that forms just northwest of the simulated TLV. The horizontal vorticity in this rotor originates in the near-surface inflow and is caused by surface friction. -
2.3 an Analysis of Lightning Holes in a Dfw Supercell Storm Using Total Lightning and Radar Information
2.3 AN ANALYSIS OF LIGHTNING HOLES IN A DFW SUPERCELL STORM USING TOTAL LIGHTNING AND RADAR INFORMATION Martin J. Murphy* and Nicholas W.S. Demetriades Vaisala Inc., Tucson, Arizona 1. INTRODUCTION simple source density-rate (e.g., number of sources/km2/min) with various grid sizes and A “lightning hole” is a small region within a temporal resolutions. An additional data storm that is relatively free of in-cloud lightning representation method may be obtained by first activity. This feature was first discovered in aggregating the sources according to which severe supercell storms in Oklahoma during branch and flash produced them and then MEaPRS in 1998 (MacGorman et al. 2002). The looking at the number of grid cells “touched” by feature was identified through high-resolution the flash. This concept, which we refer to as three-dimensional observations of total (in-cloud “flash extent density” (see also Lojou and and cloud-to-ground (CG)) lightning activity by Cummins, this conference), is illustrated in the Lightning Mapping Array (LMA; Rison et al. Figure 1. The figure shows the branches of a 1999). It is generally thought that lightning holes flash. At each branch division, as well as at are to lightning information what the bounded each bend or kink in any single branch, a VHF weak echo region (BWER) is to radar data. That source was observed. Rather than counting all is, lightning holes are affiliated with the of the sources within each grid square to extremely strong updrafts unique to severe produce source density, we only count each storms. -
Hail Spike Impacts on Doppler Radial Velocity Data During Recent Convective Events in the Continental United States
Hail Spike Impacts on Doppler Radial Velocity Data During Recent Convective Events in the Continental United States CHRIS SMALLCOMB National Weather Service, Weather Forecast Office Reno, Nevada Corresponding Author Address: 2350 Raggio Parkway Reno, NV 89512 775.673.8100 x224 [email protected] (Submitted 7 April 2008; In final form 10 September 2008) ABSTRACT The tropospheric mid-level three body scatter spike (TBSS) Doppler radar signature is widely used by National Weather Service forecasters as an indication of severe hail. Research describes the radial velocity signature associated with the TBSS as generally weak inbound. However, during recent severe convective events in the continental United States, several examples of the TBSS exhibiting high inbound radial velocity signatures have been noted. The cases presented demonstrate the TBSS can contaminate velocity data, thereby making storm interrogation and the warning decision process more complicated. It is emphasized that forecasters need to be cautious in analyzing the placement of these features within the overall storm structure before making a warning decision, particularly when weighing whether to issue or upgrade to a tornado warning. 1. Introduction The mid-level three body scatter spike (TBSS) or flare echo Doppler radar signature is a 10- 30 km long region of artifact echo aligned radially downrange from a highly reflective (>63 dBZ) echo core (Fig. 1). Caused by non-Rayleigh radar microwave scattering or Mie scattering (Zrnić 1987), the TBSS is widely used by National Weather Service (NWS) forecasters as a sufficient (not necessary) indication of very large hail within a severe thunderstorm (Fig. 2). Established research (Zrnić 1987; Lemon 1998; Wilson and Reum 1988) describes the common radial velocity signature associated with the TBSS as weak inbound coupled with high spectrum width (SW) values. -
Radar Artifacts and Associated Signatures, Along with Impacts of Terrain on Data Quality
Radar Artifacts and Associated Signatures, Along with Impacts of Terrain on Data Quality 1.) Introduction: The WSR-88D (Weather Surveillance Radar designed and built in the 80s) is the most useful tool used by National Weather Service (NWS) Meteorologists to detect precipitation, calculate its motion, estimate its type (rain, snow, hail, etc) and forecast its position. Radar stands for “Radio, Detection, and Ranging”, was developed in the 1940’s and used during World War II, has gone through numerous enhancements and technological upgrades to help forecasters investigate storms with greater detail and precision. However, as our ability to detect areas of precipitation, including rotation within thunderstorms has vastly improved over the years, so has the radar’s ability to detect other significant meteorological and non meteorological artifacts. In this article we will identify these signatures, explain why and how they occur and provide examples from KTYX and KCXX of both meteorological and non meteorological data which WSR-88D detects. KTYX radar is located on the Tug Hill Plateau near Watertown, NY while, KCXX is located in Colchester, VT with both operated by the NWS in Burlington. Radar signatures to be shown include: bright banding, tornadic hook echo, low level lake boundary, hail spikes, sunset spikes, migrating birds, Route 7 traffic, wind farms, and beam blockage caused by terrain and the associated poor data sampling that occurs. 2.) How Radar Works: The WSR-88D operates by sending out directional pulses at several different elevation angles, which are microseconds long, and when the pulse intersects water droplets or other artifacts, a return signal is sent back to the radar. -
Mt417 – Week 10
Mt417 – Week 10 Use of radar for severe weather forecasting Single Cell Storms (pulse severe) • Because the severe weather happens so quickly, these are hard to warn for using radar • Main Radar Signatures: i) Maximum reflectivity core developing at higher levels than other storms ii) Maximum top and maximum reflectivity co- located iii) Rapidly descending core iv) pure divergence or convergence in velocity data Severe cell has its max reflectivity core higher up Z With a descending reflectivity core, you’d see the reds quickly heading down toward the ground with each new scan (typically around 5 minutes apart) Small Scale Winds - Divergence/Convergence - Divergent Signature Often seen at storm top level or near the Note the position of the radar relative to the ground at close velocity signatures. This range to a pulse type is critical for proper storm interpretation of the small scale velocity data. Convergence would show colors reversed Multicells (especially QLCSs– quasi-linear convective systems) • Main Radar Signatures i) Weak echo region (WER) or overhang on inflow side with highest top for the multicell cluster over this area (implies very strong updraft) ii) Strong convergence couplet near inflow boundary Weak Echo Region (left: NWS Western Region; right: NWS JETSTREAM) • Associated with the updraft of a supercell thunderstorm • Strong rising motion with the updraft results in precipitation/ hail echoes being shifted upward • Can be viewed on one radar surface (left) or in the vertical (schematic at right) Crude schematic of