Doppler Radar Meteorological Observations
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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 -
NCAR Annual Scientific Report April 1978 - March 1979 - Link Page Next PART0002
National Center for Atmospheric Research Annual Scientific Report April 1978-March 1979 Submitted to National Science Foundation by University Corporation for Atmospheric Research July 1979 * * iii11 1 CONTENTS INTRODUCTION v ATMOSPHERIC ANALYSIS AND PREDICTION DIVISION 1 Climate Section 7 Oceanography Section 15 Large-Scale Dynamics Section 19 Mesoscale Research Section 28 ATMOSPHERIC QUALITY DIVISION 37 In-Situ Measurements and Photochemical Modeling 39 Biosphere-Atmosphere Interaction 42 Gas and Aerosol Measurements 43 Global Observations, Modeling, and Optical Techniques 45 Reactive Gases and Particles 51 Thermospheric Dynamics and Aeronomy 53 Stratospheric-Tropospheric Exchange 56 Radioactive Aerosols and Effects 58 HIGH ALTITUDE OBSERVATORY 63 Solar Variability Section 65 Solar Atmosphere and Magnetic Fields Section 72 Coronal Physics Section 78 78 Interplanetary Physics Section 83 CONVECTIVE STORMS DIVISION 89 ADVANCED STUDY PROGRAM 113 ATMOSPHERIC TECHNOLOGY DIVISION 127 Research Aviation Facility 129 Computing Facility 141 Field Observing Facility 154 Research Systems Facility 163 Global Atmospheric Measurements Program 169 National Scientific Balloon Facility 176 PUBLICATIONS 183 v INTRODUCTION The UCAR-NSF contract for the operation of NCAR calls for UCAR to submit to NSF an annual scientific report "containing a scientific description of all programs conducted by NCAR staff and NCAR visitors during the previous year." The contract stipulates that the report should "include a description of the scientific problems placed in a larger context, accomplishments, and a listing of papers published." This document is designed to respond to that contract provision, and has as its primary audience those NSF staff members responsible for monitoring UCAR's performance in the operation of a national laboratory under NSF sponsorship. -
Chapter-5 Doppler Effect
Chapter-5 Doppler Effect Stationary source Stationary observer Moving source Stationary observer Stationary source Moving observer Moving source Moving observer http://www.astro.ubc.ca/~scharein/a311/Sim/doppler/Doppler.html Doppler Effect The Doppler effect is the apparent change in the frequency of a wave motion when there is relative motion between the source of the waves and the observer. The apparent change in frequency f experienced as a result of the Doppler effect is known as the Doppler shift. The value of the Doppler shift increases as the relative velocity v between the source and the observer increases. The Doppler effect applies to all forms of waves. Doppler Effect (Moving Source) http://www.absorblearning.com/advancedphysics/demo/units/040103.html Suppose the source moves at a steady velocity vs towards a stationary observer. The source emits sound wave with frequency f. From the diagram, we can see that the distance between crests is shortened such that ' vs Since = c/f and = 1/f, We get c c v s f ' f f c vs f ' ( ) f c vs Doppler Effect (Moving Observer) Consider an observer moving with velocity vo toward a stationary source S. The source emits a sound wave with frequency f and wavelength = c/f. The velocity of the sound wave relative to the observer is c + vo. c Doppler Shift Consider a source moving towards an observer, the Doppler shift f is c f f ' f ( ) f f c vs f v s f c v s f v If v <<c, then we get s s f c The above equation also applies to a receding source, with vs taking as negative. -
A Real-Time System to Estimate Weather Conditions at High Resolution
12.1 A Real-Time System to Estimate Weather Conditions at High Resolution Peter P. Neilley1 Weather Services International, Inc. Andover, MA 01810 And Bruce L. Rose The Weather Channel Atlanta, GA the earth’s surface (the so-called current 1. Introduction1 conditions). b) We do not necessarily produce weather The purpose of this paper is to describe an observations on a regular grid, but at an operational system used to estimate current irregular set of arbitrary locations or points weather conditions at arbitrary places in real- that are relevant to the consumers of the time. The system, known as High Resolution information. Assimilation of Data (or HiRAD), is designed to generate synthetic weather observations in a c) In addition to producing quantitative manner equivalent in scope, timeliness and observational elements (e.g. temperature, quality to a arbitrarily dense physical observing pressure and wind speed) our system network. Our approach is, first, to collect produces common, descriptive terminology information from a variety of relevant sources of the sensible weather such as including gridded analyses, traditional surface “Thundershowers”, “Patchy Fog”, and weather reports, radar, satellite and lightning “Snow Flurries”. observations. Then we continuously synthesize these data into weather condition estimates at d) We do not strive to produce a state of the prescribed locations. An operational system atmosphere optimized for fidelity with based on this approach has been built and is Numerical Weather Prediction (NWP) commercially deployed in the United States. models. Instead, the system is optimized to produce the most accurate estimate of the In most regards, our approach is analogous to observed state at the surface that can be modern data assimilation techniques. -
Soaring Weather
Chapter 16 SOARING WEATHER While horse racing may be the "Sport of Kings," of the craft depends on the weather and the skill soaring may be considered the "King of Sports." of the pilot. Forward thrust comes from gliding Soaring bears the relationship to flying that sailing downward relative to the air the same as thrust bears to power boating. Soaring has made notable is developed in a power-off glide by a conven contributions to meteorology. For example, soar tional aircraft. Therefore, to gain or maintain ing pilots have probed thunderstorms and moun altitude, the soaring pilot must rely on upward tain waves with findings that have made flying motion of the air. safer for all pilots. However, soaring is primarily To a sailplane pilot, "lift" means the rate of recreational. climb he can achieve in an up-current, while "sink" A sailplane must have auxiliary power to be denotes his rate of descent in a downdraft or in come airborne such as a winch, a ground tow, or neutral air. "Zero sink" means that upward cur a tow by a powered aircraft. Once the sailcraft is rents are just strong enough to enable him to hold airborne and the tow cable released, performance altitude but not to climb. Sailplanes are highly 171 r efficient machines; a sink rate of a mere 2 feet per second. There is no point in trying to soar until second provides an airspeed of about 40 knots, and weather conditions favor vertical speeds greater a sink rate of 6 feet per second gives an airspeed than the minimum sink rate of the aircraft. -
Fire W Eather
Fire Weather Fire Weather Fire weather depends on a combination of wildland fuels and surface weather conditions. Dead and live fuels are assessed weekly from a satellite that determines the greenness of the landscape. Surface weather conditions are monitored every 5-minutes from the Oklahoma Mesonet. This fire weather help page highlights the surface weather ingredients to monitor before wildfires and also includes several products to monitor once wildfires are underway. Fire Weather Ingredients: WRAP While the presence of wildland fuels is one necessary component for wildfires, weather conditions ultimately dictate whether or not a day is primed for wildfires to occur. There are four key fire weather ingredients and they include: high Winds, low Relative humidity, high Air temperature, and no/minimal recent Precipitation (WRAP). High Winds are the second most critical weather ingredient for wildfires. In general, winds of 20 mph or greater 20+ mph winds increase spot fires and make for most of the containment considerably more difficult. state Low Relative humidity is the most 30-40+ critical weather ingredient for wildfires mph winds and is most common in the afternoon when the air temperature is at its warmest. When relative humidity is at or below 20% extreme fire behavior can result and spot fires become freQuent. Watch out for areas of 20% or below relative humidity and 20 mph or higher winds à 20/20 rule! Extremely low relative humidity Warm Air temperatures are another values key weather ingredient for wildfires as warming can lower the relative humidity, reduce moisture for smaller dead fuels, and bring fuels closer to their ignition point. -
The Montague Doppler Radar, an Overview June 2018
ISSUE PAPER SERIES The Montague Doppler Radar, An Overview June 2018 NEW YORK STATE TUG HILL COMMISSION DULLES STATE OFFICE BUILDING · 317 WASHINGTON STREET · WATERTOWN, NY 13601 · (315) 785-2380 · WWW.TUGHILL.ORG The Tug Hill Commission Technical and Issue Paper Series are designed to help local officials and citizens in the Tug Hill region and other rural parts of New York State. The Tech- nical Paper Series provides guidance on procedures based on questions frequently received by the Commis- sion. The Issue Paper Series pro- vides background on key issues facing the region without taking advocacy positions. Other papers in each se- ries are available from the Tug Hill Commission. Please call us or vis- it our website for more information. The Montague Doppler Weather Radar, An Overview Table of Contents Introduction .................................................................................................................................................. 1 Who owns the Montague radar? ................................................................................................................. 1 Who uses the Montague radar? .................................................................................................................. 1 How does the radar system work? .............................................................................................................. 2 How does the radar predict lake-effect snowstorms? ................................................................................ 2 How does the -
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. -
A 10-Year Radar-Based Climatology of Mesoscale Convective System Archetypes and Derechos in Poland
AUGUST 2020 S U R O W I E C K I A N D T A S Z A R E K 3471 A 10-Year Radar-Based Climatology of Mesoscale Convective System Archetypes and Derechos in Poland ARTUR SUROWIECKI Department of Climatology, University of Warsaw, and Skywarn Poland, Warsaw, Poland MATEUSZ TASZAREK Department of Meteorology and Climatology, Adam Mickiewicz University, Poznan, Poland, and National Severe Storms Laboratory, Norman, Oklahoma, and Skywarn Poland, Warsaw, Poland (Manuscript received 29 December 2019, in final form 3 May 2020) ABSTRACT In this study, a 10-yr (2008–17) radar-based mesoscale convective system (MCS) and derecho climatology for Poland is presented. This is one of the first attempts of a European country to investigate morphological and precipitation archetypes of MCSs as prior studies were mostly based on satellite data. Despite its ubiquity and significance for society, economy, agriculture, and water availability, little is known about the climatological aspects of MCSs over central Europe. Our results indicate that MCSs are not rare in Poland as an annual mean of 77 MCSs and 49 days with MCS can be depicted for Poland. Their lifetime ranges typically from 3 to 6 h, with initiation time around the afternoon hours (1200–1400 UTC) and dissipation stage in the evening (1900–2000 UTC). The most frequent morphological type of MCSs is a broken line (58% of cases), then areal/cluster (25%), and then quasi- linear convective systems (QLCS; 17%), which are usually associated with a bow echo (72% of QLCS). QLCS are the feature with the longest life cycle. -
An Implementation of Real-Time Phased Array Radar Fundamental Functions on a DSP-Focused, High-Performance, Embedded Computing Platform
aerospace Article An Implementation of Real-Time Phased Array Radar Fundamental Functions on a DSP-Focused, High-Performance, Embedded Computing Platform Xining Yu 1,*, Yan Zhang 1, Ankit Patel 1, Allen Zahrai 2 and Mark Weber 2 1 School of Electrical and Computer Engineering, University of Oklahoma, 3190 Monitor Avenue, Norman, OK 73019, USA; [email protected] (Y.Z.); [email protected] (A.P.) 2 National Severe Storms Laboratory, National Oceanic and Atomospheric Administration, Norman, OK 73072, USA; [email protected] (A.Z.); [email protected] (M.W.) * Correspondence: [email protected]; Tel.: +1-405-325-2871 Academic Editor: Konstantinos Kontis Received: 22 July 2016; Accepted: 2 September 2016; Published: 9 September 2016 Abstract: This paper investigates the feasibility of a backend design for real-time, multiple-channel processing digital phased array system, particularly for high-performance embedded computing platforms constructed of general purpose digital signal processors. First, we obtained the lab-scale backend performance benchmark from simulating beamforming, pulse compression, and Doppler filtering based on a Micro Telecom Computing Architecture (MTCA) chassis using the Serial RapidIO protocol in backplane communication. Next, a field-scale demonstrator of a multifunctional phased array radar is emulated by using the similar configuration. Interestingly, the performance of a barebones design is compared to that of emerging tools that systematically take advantage of parallelism and multicore capabilities, including the Open Computing Language. Keywords: phased array radar; embedded computing; serial RapidIO; MPAR 1. Introduction 1.1. Real-Time, Large-Scale, Phased Array Radar Systems In [1], we had introduced the real-time phased array radar (PAR) processing based on the Micro Telecom Computing Architecture (MTCA) chassis. -
Tropical Cyclone Mesoscale Circulation Families
DOMINANT TROPICAL CYCLONE OUTER RAINBANDS RELATED TO TORNADIC AND NON-TORNADIC MESOSCALE CIRCULATION FAMILIES Scott M. Spratt and David W. Sharp National Weather Service Melbourne, Florida 1. INTRODUCTION Doppler (WSR-88D) radar sampling of Tropical Cyclone (TC) outer rainbands over recent years has revealed a multitude of embedded mesoscale circulations (e.g. Zubrick and Belville 1993, Cammarata et al. 1996, Spratt el al. 1997, Cobb and Stuart 1998). While a majority of the observed circulations exhibited small horizontal and vertical characteristics similar to extra- tropical mini supercells (Burgess et al. 1995, Grant and Prentice 1996), some were more typical of those common to the Great Plains region (Sharp et al. 1997). During the past year, McCaul and Weisman (1998) successfully simulated the observed spectrum of TC circulations through variance of buoyancy and shear parameters. This poster will serve to document mesoscale circulation families associated with six TC's which made landfall within Florida since 1994. While tornadoes were not associated with all of the circulations (manual not algorithm defined), those which exhibited persistent and relatively strong rotation did often correlate with touchdowns (Table 1). Similarities between tornado- producing circulations will be discussed in Section 7. Contained within this document are 0.5 degree base reflectivity and storm relative velocity images from the Melbourne (KMLB; Gordon, Erin, Josephine, Georges), Jacksonville (KJAX; Allison), and Eglin Air Force Base (KEVX; Opal) WSR-88D sites. Arrows on the images indicate cells which produced persistent rotation. 2. TC GORDON (94) MESO CHARACTERISTICS KMLB radar surveillance of TC Gordon revealed two occurrences of mesoscale families (first period not shown). -
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.