The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations
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Bat Conservation 2021
Bat Conservation Global evidence for the effects of interventions 2021 Edition Anna Berthinussen, Olivia C. Richardson & John D. Altringham Conservation Evidence Series Synopses 2 © 2021 William J. Sutherland This document should be cited as: Berthinussen, A., Richardson O.C. and Altringham J.D. (2021) Bat Conservation: Global Evidence for the Effects of Interventions. Conservation Evidence Series Synopses. University of Cambridge, Cambridge, UK. Cover image: Leucistic lesser horseshoe bat Rhinolophus hipposideros hibernating in a former water mill, Wales, UK. Credit: Thomas Kitching Digital material and resources associated with this synopsis are available at https://www.conservationevidence.com/ 3 Contents Advisory Board.................................................................................... 11 About the authors ............................................................................... 12 Acknowledgements ............................................................................. 13 1. About this book ........................................................... 14 1.1 The Conservation Evidence project ................................................................................. 14 1.2 The purpose of Conservation Evidence synopses ............................................................ 14 1.3 Who this synopsis is for ................................................................................................... 15 1.4 Background ..................................................................................................................... -
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. -
US Landfalling and North Atlantic Hurricanes
44 MONTHLY WEATHER REVIEW VOLUME 140 U.S. Landfalling and North Atlantic Hurricanes: Statistical Modeling of Their Frequencies and Ratios GABRIELE VILLARINI Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, and Willis Research Network, London, United Kingdom GABRIEL A. VECCHI NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey JAMES A. SMITH Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey (Manuscript received 10 March 2011, in final form 11 July 2011) ABSTRACT Time series of U.S. landfalling and North Atlantic hurricane counts and their ratios over the period 1878– 2008 are modeled using tropical Atlantic sea surface temperature (SST), tropical mean SST, the North At- lantic Oscillation (NAO), and the Southern Oscillation index (SOI). Two SST input datasets are employed to examine the uncertainties in the reconstructed SST data on the modeling results. Because of the likely un- dercount of recorded hurricanes in the earliest part of the record, both the uncorrected hurricane dataset (HURDAT) and a time series with a recently proposed undercount correction are considered. Modeling of the count data is performed using a conditional Poisson regression model, in which the rate of occurrence can depend linearly or nonlinearly on the climate indexes. Model selection is performed following a stepwise approach and using two penalty criteria. These results do not allow one to identify a single ‘‘best’’ model because of the different model configurations (different SST data, corrected versus uncorrected datasets, and penalty criteria). Despite the lack of an objectively identified unique final model, the authors recommend a set of models in which the parameter of the Poisson distribution depends linearly on tropical Atlantic and tropical mean SSTs. -
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. -
Service Assessment Hurricane Irene, August
Service Assessment Hurricane Irene, August 21–30, 2011 U.S. DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration National Weather Service Silver Spring, Maryland Cover Photographs: Top Left - NOAA GOES 13 visible image of Hurricane Irene taken at 12:32 UTC (8:32 a.m. EDT) on August 27, 2011, as it was moving northward along the east coast. Map of total storm rainfall for Hurricane Irene (NCEP/HPC) overlaid with photos of Hurricane Irene’s impacts. Clockwise from top right: • Damage to bridge over the Pemigewasset River/East Branch in Lincoln, NH (NH DOT) • Trees across road and utility lines in Guilford, CT (CT DEP) • Damage to homes from storm surge at Cosey Beach, East Haven, CT (CT DEP) • Flooding of Delaware River closes Rt. 29 in Trenton, NJ (State of New Jersey, Office of the Governor) • Damage from storm surge on North Carolina’s Outer Banks (USGS) • Damage to home from an EF1 tornado in Lewes, DE (Sussex County, DE EOC) • River flooding on Schoharie Creek near Lexington, NY (USGS) • Flood damage to historic covered bridge and road in Quechee, VT (FEMA) ii Service Assessment Hurricane Irene, August 21–30, 2011 September 2012 National Oceanic and Atmospheric Administration Dr. Jane Lubchenco, Administrator National Weather Service Laura Furgione, Acting Assistant Administrator for Weather Services iii Preface On August 21-29, 2011, Hurricane Irene left a devastating imprint on the Caribbean and U.S. East Coast. The storm took the lives of more than 40 people, caused an estimated $6.5 billion in damages, unleashed major flooding, downed trees and power lines, and forced road closures, evacuations, and major rescue efforts. -
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