Characteristics of Supercells in the Rainband of Numerically Simulated Cyclone Sidr
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A Study of Synoptic-Scale Tornado Regimes
Garner, J. M., 2013: A study of synoptic-scale tornado regimes. Electronic J. Severe Storms Meteor., 8 (3), 1–25. A Study of Synoptic-Scale Tornado Regimes JONATHAN M. GARNER NOAA/NWS/Storm Prediction Center, Norman, OK (Submitted 21 November 2012; in final form 06 August 2013) ABSTRACT The significant tornado parameter (STP) has been used by severe-thunderstorm forecasters since 2003 to identify environments favoring development of strong to violent tornadoes. The STP and its individual components of mixed-layer (ML) CAPE, 0–6-km bulk wind difference (BWD), 0–1-km storm-relative helicity (SRH), and ML lifted condensation level (LCL) have been calculated here using archived surface objective analysis data, and then examined during the period 2003−2010 over the central and eastern United States. These components then were compared and contrasted in order to distinguish between environmental characteristics analyzed for three different synoptic-cyclone regimes that produced significantly tornadic supercells: cold fronts, warm fronts, and drylines. Results show that MLCAPE contributes strongly to the dryline significant-tornado environment, while it was less pronounced in cold- frontal significant-tornado regimes. The 0–6-km BWD was found to contribute equally to all three significant tornado regimes, while 0–1-km SRH more strongly contributed to the cold-frontal significant- tornado environment than for the warm-frontal and dryline regimes. –––––––––––––––––––––––– 1. Background and motivation As detailed in Hobbs et al. (1996), synoptic- scale cyclones that foster tornado development Parameter-based and pattern-recognition evolve with time as they emerge over the central forecast techniques have been essential and eastern contiguous United States (hereafter, components of anticipating tornadoes in the CONUS). -
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. -
Observed Cyclone–Anticyclone Tropopause Vortex Asymmetries
JANUARY 2005 H A K I M A N D CANAVAN 231 Observed Cyclone–Anticyclone Tropopause Vortex Asymmetries GREGORY J. HAKIM AND AMELIA K. CANAVAN University of Washington, Seattle, Washington (Manuscript received 30 September 2003, in final form 28 June 2004) ABSTRACT Relatively little is known about coherent vortices near the extratropical tropopause, even with regard to basic facts about their frequency of occurrence, longevity, and structure. This study addresses these issues through an objective census of observed tropopause vortices. The authors test a hypothesis regarding vortex-merger asymmetry where cyclone pairs are repelled and anticyclone pairs are attracted by divergent flow due to frontogenesis. Emphasis is placed on arctic vortices, where jet stream influences are weaker, in order to facilitate comparisons with earlier idealized numerical simulations. Results show that arctic cyclones are more numerous, persistent, and stronger than arctic anticyclones. An average of 15 cyclonic vortices and 11 anticyclonic vortices are observed per month, with maximum frequency of occurrence for cyclones (anticyclones) during winter (summer). There are are about 47% more cyclones than anticyclones that survive at least 4 days, and for longer lifetimes, 1-day survival probabilities are nearly constant at 65% for cyclones, and 55% for anticyclones. Mean tropopause potential-temperature amplitude is 13 K for cyclones and 11 K for anticyclones, with cyclones exhibiting a greater tail toward larger values. An analysis of close-proximity vortex pairs reveals divergence between cyclones and convergence be- tween anticyclones. This result agrees qualitatively with previous idealized numerical simulations, although it is unclear to what extent the divergent circulations regulate vortex asymmetries. -
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. -
A Long-Lasting Vortex Rossby Wave–Induced Rainband of Typhoon Longwang (2005)
A Long-Lasting Vortex Rossby Wave–Induced Rainband of Typhoon Longwang (2005) YANLUAN LIN, YUANLONG LI, QINGSHAN LI, MINYAN CHEN, FANGHUA XU, YUQING WANG, AND BIN HUANG n 2 October 2005, a record-breaking rainfall event Tsai 2013). As Typhoon Longwang approached the with 152 mm of rainfall in an hour occurred as coast of Fujian Province at 0800 UTC, one type of this OTyphoon Longwang approached Fujian Province, transient rainband in the northeast sector started to China. The severe rainfall was unexpected and signifi- weaken and dissipate (Fig. 1b). At the same time, the cantly underpredicted by the local weather forecasters eyewall underwent an asymmetry transformation and caused a total of 96 deaths. Because of the severe accompanied by a bended convection pattern in the damage over Taiwan and mainland China, the name north (Fig. 1b). The bended convection transformed of Longwang, which means a dragon in charge of into a strong convective band along the eyewall to the rainfall in Chinese, was removed from the name list north and moved outward relative to the storm center for future typhoons. (Fig. 1c). The convective band continued to intensify with a sharp inner edge (Fig. 1d). An hour later, the EVOLUTION AND BASIC FEATURES OF convective band achieved its maximum intensity with THE RAINBAND. The formation and evolution a large area of stratiform precipitation outward and of the rainband associated with the rainfall event was downstream (Fig. 1e). At this time, cloud brightness captured by the radar mosaic produced by the Central temperatures as low as −80°C were measured by a Weather Bureau (CWB) of Taiwan (Fig. -
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. -
Massachusetts Tropical Cyclone Profile August 2021
Commonwealth of Massachusetts Tropical Cyclone Profile August 2021 Commonwealth of Massachusetts Tropical Cyclone Profile Description Tropical cyclones, a general term for tropical storms and hurricanes, are low pressure systems that usually form over the tropics. These storms are referred to as “cyclones” due to their rotation. Tropical cyclones are among the most powerful and destructive meteorological systems on earth. Their destructive phenomena include storm surge, high winds, heavy rain, tornadoes, and rip currents. As tropical storms move inland, they can cause severe flooding, downed trees and power lines, and structural damage. Once a tropical cyclone no longer has tropical characteristics, it is then classified as a post-tropical system. The National Hurricane Center (NHC) has classified four stages of tropical cyclones: • Tropical Depression: A tropical cyclone with maximum sustained winds of 38 mph (33 knots) or less. • Tropical Storm: A tropical cyclone with maximum sustained winds of 39 to 73 mph (34 to 63 knots). • Hurricane: A tropical cyclone with maximum sustained winds of 74 mph (64 knots) or higher. • Major Hurricane: A tropical cyclone with maximum sustained winds of 111 mph (96 knots) or higher, corresponding to a Category 3, 4 or 5 on the Saffir-Simpson Hurricane Wind Scale. Primary Hazards Storm Surge and Storm Tide Storm surge is an abnormal rise of water generated by a storm, over and above the predicted astronomical tide. Storm surge and large waves produced by hurricanes pose the greatest threat to life and property along the coast. They also pose a significant risk for drowning. Storm tide is the total water level rise during a storm due to the combination of storm surge and the astronomical tide. -
1 Vertical Structure of Tropical Cyclone Rainbands As Seen by The
Vertical Structure of Tropical Cyclone Rainbands as seen by the TRMM Precipitation Radar Deanna A. Hence and Robert A. Houze, Jr. University of Washington, Seattle, Washington Submitted to Journal of Atmospheric Sciences November 2011 Corresponding author address: Deanna Hence, Department of Atmospheric Sciences, University of Washington, Box 351640, Seattle, WA 98195 E-mail: [email protected] 1 ABSTRACT 1 Ten years of data from the Tropical Rainfall Measurement Mission satellite’s Precipitation 2 Radar (TRMM PR) show the vertical structure of tropical cyclone rainbands. Radar-echo 3 statistics show that rainbands have a two-layered structure, with distinct modes separated by the 4 melting layer. The ice layer is a combination of particles imported from the eyewall and ice left 5 aloft as convective cells collapse. This layering is most pronounced in the inner region of the 6 storm, and the layering is enhanced by storm strength. The inner-region rainbands are vertically 7 confined by outflow from the eyewall but nevertheless are a combination of strong embedded 8 convective cells and robust stratiform precipitation, both of which become more pronounced in 9 stronger cyclones. 10 Changes in rainband coverage, vertical structure, and the amount of active convection 11 indicate a change in the nature of rainbands between the regions inward and outward of a radius 12 of ~200 km. Beyond this radius, rainbands consist of more sparsely distributed precipitation that 13 is more convective in nature than that of the inner-region rainbands, and the outer-region 14 rainband structures are relatively insensitive to changes in storm intensity. -
Lecture 14. Extratropical Cyclones • in Mid-Latitudes, Much of Our Weather
Lecture 14. Extratropical Cyclones • In mid-latitudes, much of our weather is associated with a particular kind of storm, the extratropical cyclone Cyclone: circulation around low pressure center Some midwesterners call tornadoes cyclones Tropical cyclone = hurricane • Extratropical cyclones derive their energy from horizontal temperature con- trasts. • They typically form on a boundary between a warm and a cold air mass associated with an upper tropospheric jet stream • Their circulations affect the entire troposphere over a region 1000 km or more across. • Extratropical cyclones tend to develop with a particular lifecycle . • The low pressure center moves roughly with the speed of the 500 mb wind above it. • An extratropical cyclone tends to focus the temperature contrasts into ‘fron- tal zones’ of particularly rapid horizontal temperature change. The Norwegian Cyclone Model In 1922, well before routine upper air observations began, Bjerknes and Sol- berg in Bergen, Norway, codified experience from analyzing surface weather maps over Europe into the Norwegian Cyclone Model, a conceptual picture of the evolution of an ET cyclone and associated frontal zones at ground They noted that the strongest temperature gradients usually occur at the warm edge of the frontal zone, which they called the front. They classified fronts into four types, each with its own symbol: Cold front - Cold air advancing into warm air Warm front - Warm air advancing into cold air Stationary front - Neither airmass advances Occluded front - Looks like a cold front -
The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations
remote sensing Article The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations Anna Cinzia Marra 1, Stefano Federico 1 , Mario Montopoli 1 , Elenio Avolio 2 , Luca Baldini 1 , Daniele Casella 1, Leo Pio D’Adderio 1, Stefano Dietrich 1 , Paolo Sanò 1 , Rosa Claudia Torcasio 1 and Giulia Panegrossi 1,* 1 Institute of Atmospheric Sciences and Climate, National Research Council (ISAC/CNR), 00133 Rome, Italy 2 Institute of Atmospheric Sciences and Climate, National Research Council (ISAC/CNR), 88046 Lamezia Terme, Italy * Correspondence: [email protected]; Tel.: +39-06-4993-4274 Received: 30 May 2019; Accepted: 11 July 2019; Published: 17 July 2019 Abstract: This study shows how satellite-based passive and active microwave (MW) sensors can be used in conjunction with high-resolution Numerical Weather Prediction (NWP) simulations to provide insights of the precipitation structure of the tropical-like cyclone (TLC) Numa, which occurred on 15–19 November 2017. The goal of the paper is to characterize and monitor the precipitation at the different stages of its evolution from development to TLC phase, throughout the storm transition over the Mediterranean Sea. Observations by the NASA/JAXA Global Precipitation Measurement Core Observatory (GPM-CO) and by the GPM constellation of MW radiometers are used, in conjunction with the Regional Atmospheric Modeling System (RAMS) simulations. The GPM-CO measurements are used to analyze the passive MW radiometric response to the microphysical structure of the storm, while the comparison between successive MW radiometer overpasses shows the evolution of Numa precipitation structure from its early development stage on the Ionian Sea into its TLC phase, as it persists over southern coast of Italy (Apulia region) for several hours. -
A Technique to Determine the Radius of Maximum Wind of a Tropical Cyclone
OCTOBER 2008 LAJOIEANDWALSH 1007 A Technique to Determine the Radius of Maximum Wind of a Tropical Cyclone FRANCE LAJOIE AND KEVIN WALSH School of Earth Sciences, University of Melbourne, Parkville, Victoria, Australia (Manuscript received 2 October 2007, in final form 22 January 2008) ABSTRACT A simple technique is developed that enables the radius of maximum wind of a tropical cyclone to be estimated from satellite cloud data. It is based on the characteristic cloud and wind structure of the eyewall of a tropical cyclone, after the method developed by Jorgensen more than two decades ago. The radius of maximum wind is shown to be partly dependent on the radius of the eye and partly on the distance from the center to the top of the most developed cumulonimbus nearest to the cyclone center. The technique proposed here involves the analysis of high-resolution IR and microwave satellite imagery to determine these two parameters. To test the technique, the derived radius of maximum wind was compared with high-resolution wind analyses compiled by the U.S. National Hurricane Center and the Atlantic Oceano- graphic and Meteorological Laboratory. The mean difference between the calculated radius of maximum wind and that determined from observations is 2.8 km. Of the 45 cases considered, the difference in 50% of the cases was Յ2 km, for 33% it was between 3 and 4 km, and for 17% it was Ն5 km, with only two large differences of 8.7 and 10 km. 1. Introduction Another sensor on board a polar-orbiting satellite that can produce high-resolution surface wind fields r To determine m, the radius of maximum wind for a over the ocean is the Wind Field Synthetic Aperture tropical cyclone, one needs to analyze the strong sur- Radar (WiSAR). -
P9.6 Radar Observations of a Tornadic Severe Frontal Rainband
P9.6 RADAR OBSERVATIONS OF A TORNADIC SEVERE FRONTAL RAINBAND Jenni Rauhala* and Ari-Juhani Punkka Finnish Meteorological Institute, Helsinki, Finland 1. INTRODUCTION Although a warning for thunderstorm wind gusts was issued well before the onset of the event, the On the afternoon of 26 August 2005, severe magnitude of the damage was not anticipated by FMI convective storms caused vast wind damage in forecasters. western Finland: 382 wind damage or flood reports A closer look into radar reflectivity and velocity and 9 tornado cases (Fig. 1). Two rainbands patterns indicated small scale bowing segments in the developed over western Finland: while, the pre-frontal reflectivity fields co-located with mesovortices, similar rainband caused minor flooding, almost all of the to those shown in previous studies (e.g. Weisman and observed severe weather (Fig. 1) occurred along the Trapp 2003) to be capable of producing both straight- second rainband associated with a cold front. line wind damage and tornadoes. The storm environment, with significant low level vertical wind shear, had likely influenced the mesovortex formation. Fortunately, some of these mesovortices occurred near a polarimetric radar, which offered insight into their small scale precipitation structures. 2. DATA The case occurred partly over the Helsinki Testbed mesoscale observation network area (Saltikoff et al. 2005) during the August 2005 campaign period. The radar analysis was based on data from two 5.32 cm Doppler radars of the FMI and the polarimetric radar of the University of Helsinki. The lowest elevations were not used for velocity analysis because of velocity folding. Complete volume scans from FMI radars and the Kumpula radar were available for 5-minute and 10-minute intervals, respectively.