A Statistical Study of Tornadoes and Waterspouts in Japan from 1961 to 1993
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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). -
Pdf/Rosen Eng.Pdf Rice fields) Connnecting Otsuki to Mt.Fuji and Kawaguchiko
Iizaka Onsen Yonesaka Line Yonesaka Yamagata Shinkansen TOKYO & AROUND TOKYO Ōu Line Iizakaonsen Local area sightseeing recommendations 1 Awashima Port Sado Gold Mine Iyoboya Salmon Fukushima Ryotsu Port Museum Transportation Welcome to Fukushima Niigata Tochigi Akadomari Port Abukuma Express ❶ ❷ ❸ Murakami Takayu Onsen JAPAN Tarai-bune (tub boat) Experience Fukushima Ogi Port Iwafune Port Mt.Azumakofuji Hanamiyama Sakamachi Tuchiyu Onsen Fukushima City Fruit picking Gran Deco Snow Resort Bandai-Azuma TTOOKKYYOO information Niigata Port Skyline Itoigawa UNESCO Global Geopark Oiran Dochu Courtesan Procession Urabandai Teradomari Port Goshiki-numa Ponds Dake Onsen Marine Dream Nou Yahiko Niigata & Kitakata ramen Kasumigajo & Furumachi Geigi Airport Urabandai Highland Ibaraki Gunma ❹ ❺ Airport Limousine Bus Kitakata Park Naoetsu Port Echigo Line Hakushin Line Bandai Bunsui Yoshida Shibata Aizu-Wakamatsu Inawashiro Yahiko Line Niigata Atami Ban-etsu- Onsen Nishi-Wakamatsu West Line Nagaoka Railway Aizu Nō Naoetsu Saigata Kashiwazaki Tsukioka Lake Itoigawa Sanjo Firework Show Uetsu Line Onsen Inawashiro AARROOUUNNDD Shoun Sanso Garden Tsubamesanjō Blacksmith Niitsu Takada Takada Park Nishikigoi no sato Jōetsu Higashiyama Kamou Terraced Rice Paddies Shinkansen Dojo Ashinomaki-Onsen Takashiba Ouchi-juku Onsen Tōhoku Line Myoko Kogen Hokuhoku Line Shin-etsu Line Nagaoka Higashi- Sanjō Ban-etsu-West Line Deko Residence Tsuruga-jo Jōetsumyōkō Onsen Village Shin-etsu Yunokami-Onsen Railway Echigo TOKImeki Line Hokkaid T Kōriyama Funehiki Hokuriku -
Employing the WSR-88D for Waterspout Forecasting
Employing the WSR-88D for Waterspout Forecasting Scott M. Spratt LT (jg) Barry K. Choy, NOAA Corps National Weather Service Melbourne, Florida 1. Introduction Waterspouts and weak coastal tornadoes or "landspouts" (hereafter referred to collectively as "spouts") account for much of Florida's severe weather during the "wet season" (Schmocker et al. 1990). The Melbourne NEXRAD Weather Service Office (NWSO) County Warning Area (CWA) includes 160 miles of coastline along the east central Florida peninsula. Within this area, spouts are most frequent from June through September (Fig. 1). In the past, warnings were issued for spouts only after reports of visual sightings were received. This delay was likely due to the seemingly benign atmospheric conditions in which spouts develop, combined with a lack of pronounced severe weather signatures on conventional radars. However, recent research utilizing the NWSO MLB WSR- 88D may now help forecasters warn for spouts prior to receiving visual reports. A preliminary forecast strategy was developed based on post analyses of archived WSR- 88D products and regional upper-air data from reported spout days (Choy and Spratt 1994). This strategy has proved useful by providing additional lead time for spout events. This paper will identify specific atmospheric conditions which have been observed to precede spout generations along the east central Florida coast. A unique WSR-88D Routine Product Set (RPS) list will be shown which can be implemented once these conditions become satisfied. Finally, case studies of two recent events will be illustrated to help familiarize WSR-88D users with the environmental conditions and radar signatures often evident prior to and during spout events. -
Extratropical Cyclones and Anticyclones
© Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION Courtesy of Jeff Schmaltz, the MODIS Rapid Response Team at NASA GSFC/NASA Extratropical Cyclones 10 and Anticyclones CHAPTER OUTLINE INTRODUCTION A TIME AND PLACE OF TRAGEDY A LiFE CYCLE OF GROWTH AND DEATH DAY 1: BIRTH OF AN EXTRATROPICAL CYCLONE ■■ Typical Extratropical Cyclone Paths DaY 2: WiTH THE FI TZ ■■ Portrait of the Cyclone as a Young Adult ■■ Cyclones and Fronts: On the Ground ■■ Cyclones and Fronts: In the Sky ■■ Back with the Fitz: A Fateful Course Correction ■■ Cyclones and Jet Streams 298 9781284027372_CH10_0298.indd 298 8/10/13 5:00 PM © Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION Introduction 299 DaY 3: THE MaTURE CYCLONE ■■ Bittersweet Badge of Adulthood: The Occlusion Process ■■ Hurricane West Wind ■■ One of the Worst . ■■ “Nosedive” DaY 4 (AND BEYOND): DEATH ■■ The Cyclone ■■ The Fitzgerald ■■ The Sailors THE EXTRATROPICAL ANTICYCLONE HIGH PRESSURE, HiGH HEAT: THE DEADLY EUROPEAN HEAT WaVE OF 2003 PUTTING IT ALL TOGETHER ■■ Summary ■■ Key Terms ■■ Review Questions ■■ Observation Activities AFTER COMPLETING THIS CHAPTER, YOU SHOULD BE ABLE TO: • Describe the different life-cycle stages in the Norwegian model of the extratropical cyclone, identifying the stages when the cyclone possesses cold, warm, and occluded fronts and life-threatening conditions • Explain the relationship between a surface cyclone and winds at the jet-stream level and how the two interact to intensify the cyclone • Differentiate between extratropical cyclones and anticyclones in terms of their birthplaces, life cycles, relationships to air masses and jet-stream winds, threats to life and property, and their appearance on satellite images INTRODUCTION What do you see in the diagram to the right: a vase or two faces? This classic psychology experiment exploits our amazing ability to recognize visual patterns. -
Quantifying the Impact of Synoptic Weather Types and Patterns On
1 Quantifying the impact of synoptic weather types and patterns 2 on energy fluxes of a marginal snowpack 3 Andrew Schwartz1, Hamish McGowan1, Alison Theobald2, Nik Callow3 4 1Atmospheric Observations Research Group, University of Queensland, Brisbane, 4072, Australia 5 2Department of Environment and Science, Queensland Government, Brisbane, 4000, Australia 6 3School of Agriculture and Environment, University of Western Australia, Perth, 6009, Australia 7 8 Correspondence to: Andrew J. Schwartz ([email protected]) 9 10 Abstract. 11 Synoptic weather patterns are investigated for their impact on energy fluxes driving melt of a marginal snowpack 12 in the Snowy Mountains, southeast Australia. K-means clustering applied to ECMWF ERA-Interim data identified 13 common synoptic types and patterns that were then associated with in-situ snowpack energy flux measurements. 14 The analysis showed that the largest contribution of energy to the snowpack occurred immediately prior to the 15 passage of cold fronts through increased sensible heat flux as a result of warm air advection (WAA) ahead of the 16 front. Shortwave radiation was found to be the dominant control on positive energy fluxes when individual 17 synoptic weather types were examined. As a result, cloud cover related to each synoptic type was shown to be 18 highly influential on the energy fluxes to the snowpack through its reduction of shortwave radiation and 19 reflection/emission of longwave fluxes. As single-site energy balance measurements of the snowpack were used 20 for this study, caution should be exercised before applying the results to the broader Australian Alps region. 21 However, this research is an important step towards understanding changes in surface energy flux as a result of 22 shifts to the global atmospheric circulation as anthropogenic climate change continues to impact marginal winter 23 snowpacks. -
Meteorology – Lecture 19
Meteorology – Lecture 19 Robert Fovell [email protected] 1 Important notes • These slides show some figures and videos prepared by Robert G. Fovell (RGF) for his “Meteorology” course, published by The Great Courses (TGC). Unless otherwise identified, they were created by RGF. • In some cases, the figures employed in the course video are different from what I present here, but these were the figures I provided to TGC at the time the course was taped. • These figures are intended to supplement the videos, in order to facilitate understanding of the concepts discussed in the course. These slide shows cannot, and are not intended to, replace the course itself and are not expected to be understandable in isolation. • Accordingly, these presentations do not represent a summary of each lecture, and neither do they contain each lecture’s full content. 2 Animations linked in the PowerPoint version of these slides may also be found here: http://people.atmos.ucla.edu/fovell/meteo/ 3 Mesoscale convective systems (MCSs) and drylines 4 This map shows a dryline that formed in Texas during April 2000. The dryline is indicated by unfilled half-circles in orange, pointing at the more moist air. We see little T contrast but very large TD change. Dew points drop from 68F to 29F -- huge decrease in humidity 5 Animation 6 Supercell thunderstorms 7 The secret ingredient for supercells is large amounts of vertical wind shear. CAPE is necessary but sufficient shear is essential. It is shear that makes the difference between an ordinary multicellular thunderstorm and the rotating supercell. The shear implies rotation. -
Discover Growth
Discover The Chiba Bank, Ltd. rowth Annual Report 2012 G Year ended March 31, 2012 CONTENTS 02 Key Characteristics of Our Operating Area 04 Message from the President 08 Our Initiatives for Growth Potential 14 CSR Activity 16 Compliance 17 Financial and Corporate Information About Chiba Bank The Chiba Bank is a regional bank that operates primarily in Chiba Prefecture. Known affectionately as “Chibagin,” the bank has grown continuously together with the prefecture and is now Japan’s second-largest regional bank, with deposits of ¥9,677 billion and loans of ¥7,581 billion. Capital ratios of 14.35% on a consolidated basis and 13.63% on a non-consolidated basis demonstrate the Bank’s financial soundness. Loans and Bills Discounted* At a glance 2nd among Regional Banks ¥7.5 trillion ¥ 7,5trillion 7.1 7.3 ¥ 7.5 trillion 7,3 7,3 Deposits* 6.6 6.9 7,1 7,3 2nd among Regional Banks FY ’07 ’08 ’09 ’10 FY ’07 ’08 ’09 ’10 ’11 ¥9.6 trillion ’11 * Non-consolidated Capital Ratio* 9.3 ¥9.6trillion 8.5 8.6 8.9 % 14.35 % FY ’07 ’08 ’09 ’10 ’11 14.35 13.37 12.20 12.80 * Non-consolidated, including NCD 11.63 11.70 Net Income* FY ’06 ’07 ’08 ’09 ’10 ’11 * Consolidated 2nd among Regional Banks ¥ 40.7billion Credit Ratings: Long-term Short-term 45.9 40.6 ¥40.7billion 37.5 Standard & Poor’s A A-1 Moody’s A1 P-1 12.3 Rating and Investment AA- — Information FY ’07 ’08 ’09 ’10 ’11 * Consolidated hiba 1 Chiba PrefectureC Domestic Ranking Figures among 47Japanese Prefectures Population 6.2 million 6th Gross Prefectural Product ¥ 19.2 trillion 6th Balance of Deposits ¥ 24.1 trillion 6th Balance of Loans ¥ 12.0 trillion 7th Sources: Population: Natural Census (October 2010) Gross Prefectural Product: Economic and Social Research Institute, Cabinet Office (FY 2009) Balance of Deposits and Loans: The Bank of Japan (As of March 2012) Key Characteristics of Our Operating Area Key Characteristics of Our Operating Area C hiba Prefecture, our primary base of operations, is adjacent to Tokyo and has excellent growth potential. -
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. -
The Interactions Between a Midlatitude Blocking Anticyclone and Synoptic-Scale Cyclones That Occurred During the Summer Season
502 MONTHLY WEATHER REVIEW VOLUME 126 NOTES AND CORRESPONDENCE The Interactions between a Midlatitude Blocking Anticyclone and Synoptic-Scale Cyclones That Occurred during the Summer Season ANTHONY R. LUPO AND PHILLIP J. SMITH Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana 20 September 1996 and 2 May 1997 ABSTRACT Using the Goddard Laboratory for Atmospheres Goddard Earth Observing System 5-yr analyses and the Zwack±Okossi equation as the diagnostic tool, the horizontal distribution of the dynamic and thermodynamic forcing processes contributing to the maintenance of a Northern Hemisphere midlatitude blocking anticyclone that occurred during the summer season were examined. During the development of this blocking anticyclone, vorticity advection, supported by temperature advection, forced 500-hPa height rises at the block center. Vorticity advection and vorticity tilting were also consistent contributors to height rises during the entire life cycle. Boundary layer friction, vertical advection of vorticity, and ageostrophic vorticity tendencies (during decay) consistently opposed block development. Additionally, an analysis of this blocking event also showed that upstream precursor surface cyclones were not only important in block development but in block maintenance as well. In partitioning the basic data ®elds into their planetary-scale (P) and synoptic-scale (S) components, 500-hPa height tendencies forced by processes on each scale, as well as by interactions (I) between each scale, were also calculated. Over the lifetime of this blocking event, the S and P processes were most prominent in the blocked region. During the formation of this block, the I component was the largest and most consistent contributor to height rises at the center point. -
Severe Weather Forecasting Tip Sheet: WFO Louisville
Severe Weather Forecasting Tip Sheet: WFO Louisville Vertical Wind Shear & SRH Tornadic Supercells 0-6 km bulk shear > 40 kts – supercells Unstable warm sector air mass, with well-defined warm and cold fronts (i.e., strong extratropical cyclone) 0-6 km bulk shear 20-35 kts – organized multicells Strong mid and upper-level jet observed to dive southward into upper-level shortwave trough, then 0-6 km bulk shear < 10-20 kts – disorganized multicells rapidly exit the trough and cross into the warm sector air mass. 0-8 km bulk shear > 52 kts – long-lived supercells Pronounced upper-level divergence occurs on the nose and exit region of the jet. 0-3 km bulk shear > 30-40 kts – bowing thunderstorms A low-level jet forms in response to upper-level jet, which increases northward flux of moisture. SRH Intense northwest-southwest upper-level flow/strong southerly low-level flow creates a wind profile which 0-3 km SRH > 150 m2 s-2 = updraft rotation becomes more likely 2 -2 is very conducive for supercell development. Storms often exhibit rapid development along cold front, 0-3 km SRH > 300-400 m s = rotating updrafts and supercell development likely dryline, or pre-frontal convergence axis, and then move east into warm sector. BOTH 2 -2 Most intense tornadic supercells often occur in close proximity to where upper-level jet intersects low- 0-6 km shear < 35 kts with 0-3 km SRH > 150 m s – brief rotation but not persistent level jet, although tornadic supercells can occur north and south of upper jet as well. -
Hurricane Force Extratropical Cyclones As Observed by the Quikscat Scatterometer
P2.11 HURRICANE FORCE EXTRATROPICAL CYCLONES AS OBSERVED BY THE QUIKSCAT SCATTEROMETER Joan Ulrich Von Ahn* STG, Inc./National Oceanic and Atmospheric Administration/National Weather Service/National Centers for Environmental Prediction, Camp Springs, Maryland Joseph M. Sienkiewicz National Oceanic and Atmospheric Administration/National Weather Service/ National Centers for Environmental Prediction, Camp Springs, Maryland Joi Copridge Clark Atlanta University, Atlanta, Georgia Jodi Min United States Coast Guard Academy, New London, Connecticut Tony Crutch National Oceanic and Atmospheric Administration/National Weather Service/ National Centers for Environmental Prediction, Camp Springs, Maryland 1. INTRODUCTION or significant water cloud, the algorithm is unable to The primary responsibility of The Ocean Prediction report a wind speed. The accuracy of ±2 m s-1 for the Center (OPC) of the National Centers for Environmental wind speed data can only be guaranteed in the 2-25 m Prediction (NCEP) is the issuance of marine wind s-1 range. Wind speeds above this value are not reliable warnings and forecasts for maritime users in order to (Atlas et al., 1996). Therefore, SSM/I cannot foster the protection of life and property, safety at sea, distinguish between gale and storm force winds (Atlas et and the enhancement of economic opportunity. The al, 2001). Since Storm warnings are issued for winds warnings discussed in this study refer to the short-term from 24.7 – 32.4 m s -1 and Hurricane Force warnings marine wind warnings that are placed as labels on the are issued for wind speed greater than 32.9 m s -1 the North Atlantic and North Pacific Surface Analyses SSM/I wind observations are of limited value to OPC produced by OPC four times per day. -
Mesoscale Convective Systems and Their Synoptic-Scale Environment in Finland
182 WEATHER AND FORECASTING VOLUME 30 Mesoscale Convective Systems and Their Synoptic-Scale Environment in Finland ARI-JUHANI PUNKKA Finnish Meteorological Institute, Helsinki, Finland MARJA BISTER Division of Atmospheric Sciences, Department of Physics, University of Helsinki, Helsinki, Finland (Manuscript received 9 December 2013, in final form 14 October 2014) ABSTRACT The environments within which high-latitude intense and nonintense mesoscale convective systems (iMCSs and niMCSs) and smaller thunderstorm clusters (sub-MCSs) develop were studied using proximity soundings. MCS statistics covering 8 years were created by analyzing composite radar imagery. One-third of all systems were intense in Finland and the frequency of MCSs was highest in July. On average, MCSs had a duration of 10.8 h and traveled toward the northeast. Many of the linear MCSs had a southwest–northeast line orienta- tion. Interestingly, a few MCSs were observed to travel toward the west, which is a geographically specific feature of the MCS characteristics. The midlevel lapse rate failed to distinguish the environments of the different event types from each other. However, in MCSs, CAPE and the low-level mixing ratio were higher, the deep-layer-mean wind was stronger, and the lifting condensation level (LCL) was lower than in sub- MCSs. CAPE, low-level mixing ratio, and LCL height were the best discriminators between iMCSs and niMCSs. The mean wind over deep layers distinguished the severe wind–producing events from the nonsevere events better than did the vertical equivalent potential temperature difference or the wind shear in shallow layers. No evidence was found to support the hypothesis that dry air at low- and midlevels would increase the likelihood of severe convective winds.