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Hurricane Outer Rainband Mesovortices
Presented at the 24th Conference on Hurricanes and Tropical Meteorology, Ft. Lauderdale, FL, May 31 2000 EXAMINING THE PRE-LANDFALL ENVIRONMENT OF MESOVORTICES WITHIN A HURRICANE BONNIE (1998) OUTER RAINBAND 1 2 2 1 Scott M. Spratt , Frank D. Marks , Peter P. Dodge , and David W. Sharp 1 NOAA/National Weather Service Forecast Office, Melbourne, FL 2 NOAA/AOML Hurricane Research Division, Miami, FL 1. INTRODUCTION Tropical Cyclone (TC) tornado environments have been studied for many decades through composite analyses of proximity soundings (e.g. Novlan and Gray 1974; McCaul 1986). More recently, airborne and ground-based Doppler radar investigations of TC rainband-embedded mesocyclones have advanced the understanding of tornadic cell lifecycles (Black and Marks 1991; Spratt et al. 1997). This paper will document the first known dropwindsonde deployments immediately adjacent to a family of TC outer rainband mesocyclones, and will examine the thermodynamic and wind profiles retrieved from the marine environment. A companion paper (Dodge et al. 2000) discusses dual-Doppler analyses of these mesovortices. On 26 August 1998, TC Bonnie made landfall as a category two hurricane along the North Carolina coast. Prior to landfall, two National Oceanographic and Atmospheric Administration (NOAA) Hurricane Research Division (HRD) aircraft conducted surveillance missions offshore the Carolina coast. While performing these missions near altitudes of 3.5 and 2.1 km, both aircraft were required to deviate around intense cells within a dominant outer rainband, 165 to 195 km northeast of the TC center. On-board radars detected apparent mini-supercell signatures associated with several of the convective cells along the band. -
Squall Lines: Meteorology, Skywarn Spotting, & a Brief Look at the 18
Squall Lines: Meteorology, Skywarn Spotting, & A Brief Look At The 18 June 2010 Derecho Gino Izzi National Weather Service, Chicago IL Outline • Meteorology 301: Squall lines – Brief review of thunderstorm basics – Squall lines – Squall line tornadoes – Mesovorticies • Storm spotting for squall lines • Brief Case Study of 18 June 2010 Event Thunderstorm Ingredients • Moisture – Gulf of Mexico most common source locally Thunderstorm Ingredients • Lifting Mechanism(s) – Fronts – Jet Streams – “other” boundaries – topography Thunderstorm Ingredients • Instability – Measure of potential for air to accelerate upward – CAPE: common variable used to quantify magnitude of instability < 1000: weak 1000-2000: moderate 2000-4000: strong 4000+: extreme Thunderstorms Thunderstorms • Moisture + Instability + Lift = Thunderstorms • What kind of thunderstorms? – Single Cell – Multicell/Squall Line – Supercells Thunderstorm Types • What determines T-storm Type? – Short/simplistic answer: CAPE vs Shear Thunderstorm Types • What determines T-storm Type? (Longer/more complex answer) – Lot we don’t know, other factors (besides CAPE/shear) include • Strength of forcing • Strength of CAP • Shear WRT to boundary • Other stuff Thunderstorm Types • Multi-cell squall lines most common type of severe thunderstorm type locally • Most common type of severe weather is damaging winds • Hail and brief tornadoes can occur with most the intense squall lines Squall Lines & Spotting Squall Line Terminology • Squall Line : a relatively narrow line of thunderstorms, often -
J5J.1 1. Introduction the Bow Echo and Mesoscale Convective Vortex
J5J.1 Keynote Talk: BAMEX Observations of Mesoscale Convective Vortices Christopher A. Davis and Stanley B. Trier National Center for Atmospheric Research Boulder, Colorado 80307 1. Introduction and a Lear jet leased from Weather Modification Inc. (WMI). Mobile Ground- The Bow Echo and Mesoscale based facilities included the Mobile Convective Vortex (MCV) Experiment Integrated Profiling System (MIPS) from (BAMEX) is a study of life cycles of the University of Alabama (Huntsville) mesoscale convective systems using three and three Mobile GPS-Loran Atmospheric aircraft and multiple, mobile ground-based Sounding Systems (MGLASS) from instruments. It represents a combination of NCAR. The MIPS and MGLASS were two related programs to investigate (a) referred to as the ground based observing bow echoes (Fujita, 1978), principally system (GBOS). The two P-3s were each those which produce damaging surface equipped with tail Doppler radars, the winds and last at least 4 hours and (b) Electra Doppler Radar (ELDORA) being larger convective systems which produce on the NRL P-3. The WMI Lear jet long lived mesoscale convective vortices deployed dropsondes from roughly 12 km (MCVs) (Bartels and Maddox, 1991). The AGL. project was conducted from 20 May to 6 For MCSs, the objective was to sample July, 2003, based at MidAmerica Airport mesoscale wind and temperature fields in Mascoutah, Illinois. A detailed while obtaining high-resolution snapshots overview of the project, including of convection structures, especially those preliminary results appears in Davis et al. (2004). The reader wishing to view processed BAMEX data should visit http://www.joss.ucar.edu/bamex/catalog/. In this keynote address, I will focus on the study of MCVs, based particularly observations from airborne Doppler radar and dropsondes and wind profilers. -
A Preliminary Investigation of Derecho
7.A.1 TROPICAL CYCLONE TORNADOES – A RESEARCH AND FORECASTING OVERVIEW. PART 1: CLIMATOLOGIES, DISTRIBUTION AND FORECAST CONCEPTS Roger Edwards Storm Prediction Center, Norman, OK 1. INTRODUCTION those aspects of the remainder of the preliminary article Tropical cyclone (TC) tornadoes represent a relatively that was not included in this conference preprint, for small subset of total tornado reports, but garner space considerations. specialized attention in applied research and operational forecasting because of their distinctive origin within the envelope of either a landfalling or remnant TC. As with 2. CLIMATOLOGIES and DISTRIBUTION PATTERNS midlatitude weather systems, the predominant vehicle for tornadogenesis in TCs appears to be the supercell, a. Individual TCs and classifications particularly with regard to significant1 events. From a framework of ingredients-based forecasting of severe TC tornado climatologies are strongly influenced by the local storms (e.g., Doswell 1987, Johns and Doswell prolificacy of reports with several exceptional events. 1992), supercells in TCs share with their midlatitude The general increase in TC tornado reports, noted as relatives the fundamental environmental elements of long ago as Hill et al. (1966), and in the occurrence of sufficient moisture, instability, lift and vertical wind “outbreaks” of 20 or more per TC (Curtis 2004) probably shear. Many of the same processes – including those is a TC-specific reflection of the recent major increase in involving baroclinicity at various scales – appear -
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. -
Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions Christopher D
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2012 Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions Christopher D. Karstens Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Atmospheric Sciences Commons, and the Meteorology Commons Recommended Citation Karstens, Christopher D., "Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions" (2012). Graduate Theses and Dissertations. 12778. https://lib.dr.iastate.edu/etd/12778 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Observations and laboratory simulations of tornadoes in complex topographical regions by Christopher Daniel Karstens A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Meteorology Program of Study Committee: William A. Gallus, Jr., Major Professor Partha P. Sarkar Bruce D. Lee Catherine A. Finley Raymond W. Arritt Xiaoqing Wu Iowa State University Ames, Iowa 2012 Copyright © Christopher Daniel Karstens, 2012. All rights reserved. ii TABLE OF CONTENTS LIST OF FIGURES .............................................................................................. -
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. -
Bulletin of the American Meteorological Society
AMERICAN METEOROLOGICAL SOCIETY Bulletin of the American Meteorological Society EARLY ONLINE RELEASE This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS Publications. This preliminary version of the manuscript may be downloaded, distributed, and cited, but please be aware that there will be visual differences and possibly some content differences between this version and the final published version. The DOI for this manuscript is doi: 10.1175/BAMS-D-15-00301.1 The final published version of this manuscript will replace the preliminary version at the above DOI once it is available. If you would like to cite this EOR in a separate work, please use the following full citation: Zhao, K., M. Wang, M. Xue, P. Fu, Z. Yang, X. Chen, Y. Zhang, W. Lee, F. Zhang, Q. Lin, and Z. Li, 2016: Doppler radar analysis of a tornadic miniature supercell during the Landfall of Typhoon Mujigae (2015) in South China. Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-15-00301.1, in press. © 2016 American Meteorological Society Manuscript Click here to download Manuscript (non-LaTeX) ZhaoEtal2016_Tornado_R3.docx 1 Doppler radar analysis of a tornadic miniature supercell during 2 the Landfall of Typhoon Mujigae (2015) in South China 3 4 Kun Zhao*1, Mingjun Wang1 ,Ming Xue1,2, Peiling Fu1, 5 Zhonglin Yang1 , Xiaomin Chen1 and Yi Zhang1 6 1Key Lab of Mesoscale Severe Weather/Ministry of Education -
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. -
Hurricane Andrew in Florida: Dynamics of a Disaster ^
Hurricane Andrew in Florida: Dynamics of a Disaster ^ H. E. Willoughby and P. G. Black Hurricane Research Division, AOML/NOAA, Miami, Florida ABSTRACT Four meteorological factors aggravated the devastation when Hurricane Andrew struck South Florida: completed replacement of the original eyewall by an outer, concentric eyewall while Andrew was still at sea; storm translation so fast that the eye crossed the populated coastline before the influence of land could weaken it appreciably; extreme wind speed, 82 m s_1 winds measured by aircraft flying at 2.5 km; and formation of an intense, but nontornadic, convective vortex in the eyewall at the time of landfall. Although Andrew weakened for 12 h during the eyewall replacement, it contained vigorous convection and was reintensifying rapidly as it passed onshore. The Gulf Stream just offshore was warm enough to support a sea level pressure 20-30 hPa lower than the 922 hPa attained, but Andrew hit land before it could reach this potential. The difficult-to-predict mesoscale and vortex-scale phenomena determined the course of events on that windy morning, not a long-term trend toward worse hurricanes. 1. Introduction might have been a harbinger of more devastating hur- ricanes on a warmer globe (e.g., Fisher 1994). Here When Hurricane Andrew smashed into South we interpret Andrew's progress to show that the ori- Florida on 24 August 1992, it was the third most in- gins of the disaster were too complicated to be ex- tense hurricane to cross the United States coastline in plained by thermodynamics alone. the 125-year quantitative climatology. -
A Preliminary Investigation of Derecho-Producing Mcss In
P 3.1 TROPICAL CYCLONE TORNADO RECORDS FOR THE MODERNIZED NWS ERA Roger Edwards1 Storm Prediction Center, Norman, OK 1. INTRODUCTION and BACKGROUND since 1954 was attributable to the weakest (F0) bin of damage rating (Fig. 1). This is the very class of Tornadoes from tropical cyclones (hereafter TCs) tornado that is most common in TC records, and most pose a specialized forecast challenge at time scales difficult to detect in the damage above that from the ranging from days for outlooks to minutes for concurrent or subsequent passage of similarly warnings (Spratt et al. 1997, Edwards 1998, destructive, ambient TC winds. As such, it is possible Schneider and Sharp 2007, Edwards 2008). The (but not quantifiable) that many TC tornadoes have fundamental conceptual and physical tenets of gone unrecorded even in the modern NWS era, due midlatitude supercell prediction, in an ingredients- to their generally ephemeral nature, logistical based framework (e.g., Doswell 1987, Johns and difficulties of visual confirmation, presence of swaths Doswell 1992), fully apply to TC supercells; however, of sparsely populated near-coastal areas (i.e., systematic differences in the relative magnitudes of marshes, swamps and dense forests), and the moisture, instability, lift and shear in TCs (e.g., presence of damage inducers of potentially equal or McCaul 1991) contribute strongly to that challenge. greater impact within the TC envelope. Further, there is a growing realization that some TC tornadoes are not necessarily supercellular in origin (Edwards et al. 2010, this volume). Several major TC tornado climatologies have been published since the 1960s (e.g., Pearson and Sadowski 1965, Hill et al. -
Rapid Assessment of Tree Damage Resulting from a 2020 Windstorm in Iowa, USA
Article Rapid Assessment of Tree Damage Resulting from a 2020 Windstorm in Iowa, USA Thomas C. Goff 1,*, Mark D. Nelson 1, Greg C. Liknes 1, Tivon E. Feeley 2 , Scott A. Pugh 1 and Randall S. Morin 1 1 Northern Research Station, USDA Forest Service, Madison, WI 53726, USA; [email protected] (M.D.N.); [email protected] (G.C.L.); [email protected] (S.A.P.); [email protected] (R.S.M.) 2 Iowa Department of Natural Resources, Des Moines, IA 50319, USA; [email protected] * Correspondence: [email protected] Abstract: A need to quantify the impact of a particular wind disturbance on forest resources may require rapid yet reliable estimates of damage. We present an approach for combining pre-disturbance forest inventory data with post-disturbance aerial survey data to produce design-based estimates of affected forest area and number and volume of trees damaged or killed. The approach borrows strength from an indirect estimator to adjust estimates from a direct estimator when post-disturbance remeasurement data are unavailable. We demonstrate this approach with an example application from a recent windstorm, known as the 2020 Midwest Derecho, which struck Iowa, USA, and adjacent states on 10–11 August 2020, delivering catastrophic damage to structures, crops, and trees. We 3 estimate that 2.67 million trees and 1.67 million m of sound bole volume were damaged or killed on 23 thousand ha of Iowa forest land affected by the 2020 derecho. Damage rates for volume Citation: Goff, T.C.; Nelson, M.D.; were slightly higher than for number of trees, and damage on live trees due to stem breakage was Liknes, G.C.; Feeley, T.E.; Pugh, S.A.; more prevalent than branch breakage, both likely due to higher damage probability in the dominant Morin, R.S.