Lectures on Tropical Cyclones
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Estimates of Tropical Cyclone Geometry Parameters Based on Best Track Data
https://doi.org/10.5194/nhess-2019-119 Preprint. Discussion started: 27 May 2019 c Author(s) 2019. CC BY 4.0 License. Estimates of tropical cyclone geometry parameters based on best track data Kees Nederhoff1, Alessio Giardino1, Maarten van Ormondt1, Deepak Vatvani1 1Deltares, Marine and Coastal Systems, Boussinesqweg 1, 2629 HV Delft, The Netherlands 5 Correspondence to: Kees Nederhoff ([email protected]) Abstract. Parametric wind profiles are commonly applied in a number of engineering applications for the generation of tropical cyclone (TC) wind and pressure fields. Nevertheless, existing formulations for computing wind fields often lack the required accuracy when the TC geometry is not known. This may affect the accuracy of the computed impacts generated by these winds. In this paper, empirical stochastic relationships are derived to describe two important parameters affecting the 10 TC geometry: radius of maximum winds (RMW) and the radius of gale force winds (∆AR35). These relationships are formulated using best track data (BTD) for all seven ocean basins (Atlantic, S/NW/NE Pacific, N/SW/SE Indian Oceans). This makes it possible to a) estimate RMW and ∆AR35 when these properties are not known and b) generate improved parametric wind fields for all oceanic basins. Validation results show how the proposed relationships allow the TC geometry to be represented with higher accuracy than when using relationships available from literature. Outer wind speeds can be 15 well reproduced by the commonly used Holland wind profile when calibrated using information either from best-track-data or from the proposed relationships. The scripts to compute the TC geometry and the outer wind speed are freely available via the following URL. -
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. -
Improvement of Wind Field Hindcasts for Tropical Cyclones
Water Science and Engineering 2016, 9(1): 58e66 HOSTED BY Available online at www.sciencedirect.com Water Science and Engineering journal homepage: http://www.waterjournal.cn Improvement of wind field hindcasts for tropical cyclones Yi Pan a,b, Yong-ping Chen a,b,*, Jiang-xia Li a,b, Xue-lin Ding a,b a State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China b College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China Received 16 August 2015; accepted 10 December 2015 Available online 21 February 2016 Abstract This paper presents a study on the improvement of wind field hindcasts for two typical tropical cyclones, i.e., Fanapi and Meranti, which occurred in 2010. The performance of the three existing models for the hindcasting of cyclone wind fields is first examined, and then two modification methods are proposed to improve the hindcasted results. The first one is the superposition method, which superposes the wind field calculated from the parametric cyclone model on that obtained from the cross-calibrated multi-platform (CCMP) reanalysis data. The radius used for the superposition is based on an analysis of the minimum difference between the two wind fields. The other one is the direct modification method, which directly modifies the CCMP reanalysis data according to the ratio of the measured maximum wind speed to the reanalyzed value as well as the distance from the cyclone center. Using these two methods, the problem of underestimation of strong winds in reanalysis data can be overcome. Both methods show considerable improvements in the hindcasting of tropical cyclone wind fields, compared with the cyclone wind model and the reanalysis data. -
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. -
Dependency of U.S. Hurricane Economic Loss on Maximum Wind Speed And
Dependency of U.S. Hurricane Economic Loss on Maximum Wind Speed and Storm Size Alice R. Zhai La Cañada High School, 4463 Oak Grove Drive, La Canada, CA 91011 Jonathan H. Jiang Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109 Corresponding Email: [email protected] Abstract: Many empirical hurricane economic loss models consider only wind speed and neglect storm size. These models may be inadequate in accurately predicting the losses of super-sized storms, such as Hurricane Sandy in 2012. In this study, we examined the dependencies of normalized U.S. hurricane loss on both wind speed and storm size for 73 tropical cyclones that made landfall in the U.S. from 1988 to 2012. A multi-variate least squares regression is used to construct a hurricane loss model using both wind speed and size as predictors. Using maximum wind speed and size together captures more variance of losses than using wind speed or size alone. It is found that normalized hurricane loss (L) approximately follows a power law relation c a b with maximum wind speed (Vmax) and size (R). Assuming L=10 Vmax R , c being a scaling factor, the coefficients, a and b, generally range between 4-12 and 2-4, respectively. Both a and b tend to increase with stronger wind speed. For large losses, a weighted regression model, with a being 4.28 and b being 2.52, produces a reasonable fitting to the actual losses. Hurricane Sandy’s size was about 3.4 times of the average size of the 73 storms analyzed. -
The Theory of Hurricanes
Annual Reviews www.annualreviews.org/aronline Annu. Rev. Fluid Mech. 1991.23 : 179 96 Copyright © 1991 by Annual Reviews Inc. All rights reserved THE THEORY OF HURRICANES Kerry A. Emanuel Center for Meteorology and Physical Oceanography, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 KEYWORDS: tropical cyclones, convection,moist convection,finite-amplitude instability INTRODUCTION The hurricane remains one of the outstanding enigmas of fluid dynamics. This is so, in part, because the phenomenonis comparatively difficult to observe and because no laboratory analogue has been discovered. To this it must be added that hurricanes have received surprisingly little attention from the theoretically inclined fluid dynamicist, perhaps owing to an understandable tendency to avoid problems that involve complex thermo- dynamics and lack laboratory analogues. Yet hurricanes involve a rich spectrum of fluid-dynamical processes, including rotating, stratified flow dynamics, boundary layers, convection, and air-sea interaction; as such, they provide a wealth of interesting and consequential research problems. This article reviews recent developments in the theory of hurricanes and delineates the important remaining scientific challenges. THE MATURE HURRICANE: A NATURAL CARNOT ENGINE About 80 rotating circulations knowngenerically as tropical cyclones form over the tropical oceans each year. Of these, roughly 60%reach an intensity (maximumwinds in excess of 32 m s- 1) that qualifies them as hurricanes, a term applied only in the Atlantic and eastern Pacific. (Similar storms in other parts of the world go by different names.) Anexcellent review of the climatology and observed characteristics of these storms is provided by Anthes (1982). Here we use the term hurricane in place of the generic term tropical cyclone. -
Chapter 2.1.3, Has Both Unique and Common Features That Relate to TC Internal Structure, Motion, Forecast Difficulty, Frequency, Intensity, Energy, Intensity, Etc
Chapter Two Charles J. Neumann USNR (Retired) U, S. National Hurricane Center Science Applications International Corporation 2. A Global Tropical Cyclone Climatology 2.1 Introduction and purpose Globally, seven tropical cyclone (TC) basins, four in the Northern Hemisphere (NH) and three in the Southern Hemisphere (SH) can be identified (see Table 1.1). Collectively, these basins annually observe approximately eighty to ninety TCs with maximum winds 63 km h-1 (34 kts). On the average, over half of these TCs (56%) reach or surpass the hurricane/ typhoon/ cyclone surface wind threshold of 118 km h-1 (64 kts). Basin TC activity shows wide variation, the most active being the western North Pacific, with about 30% of the global total, while the North Indian is the least active with about 6%. (These data are based on 1-minute wind averaging. For comparable figures based on 10-minute averaging, see Table 2.6.) Table 2.1. Recommended intensity terminology for WMO groups. Some Panel Countries use somewhat different terminology (WMO 2008b). Western N. Pacific terminology used by the Joint Typhoon Warning Center (JTWC) is also shown. Over the years, many countries subject to these TC events have nurtured the development of government, military, religious and other private groups to study TC structure, to predict future motion/intensity and to mitigate TC effects. As would be expected, these mostly independent efforts have evolved into many different TC related global practices. These would include different observational and forecast procedures, TC terminology, documentation, wind measurement, formats, units of measurement, dissemination, wind/ pressure relationships, etc. Coupled with data uncertainties, these differences confound the task of preparing a global climatology. -
Friday, March 26, 2021 Home-Delivered $1.90, Retail $2.20
TE NUPEPA O TE TAIRAWHITI FRIDAY, MARCH 26, 2021 HOME-DELIVERED $1.90, RETAIL $2.20 PAGE 2 WORLD FIRST AT COVID-19 PAGES 3, 6-7, 10, 13, 18 NGATA • GISBORNE-DESIGNED WASTEWATER TEST AERO GATHERING INTEREST COLLEGE • COOK ISLAND TRAVEL BUBBLE ON THE CARDS CLUB’S • NO JAB, NO FRONT-LINE JOB FOR BORDER ‘MOVING WORKERS 60TH • KEY SUMMIT IN EUROPE AS ‘THIRD WAVE’ FORWARD’ THREATENS PAGE 4 ANDY WARHOL, RIVERDALE STYLE: Te Wiremu House manager Lynette Stankovich admires portraits created by Year 4 Riverdale School students and displayed on a wall at Te Wiremu’s newly-renovated dementia ward. The artwork is based on American pop artist Andy Warhol imagery. “I see real value in art for children and anyone who supports it,” says Ms Stankovich. Other Riverdale student works inspired by the likes of Vincent Van Gogh are also on display. Picture by Liam Clayton ACCOUNT CLOSED Kiwibank Gisborne to shut doors for good from June 30 by Jack Marshall them know about the other ways they and over, improves digital know-how with but had still not heard anything back. can bank with us,” said a Kiwibank phones and computers. “It’s a worrying trend but we will not DESPITE a significant half-yearly spokesperson. Maurice Alford, of TaiTech, said he was give up on this,” said Mayor Beijen. profit and mayoral outcry, Kiwibank has Kiwibank received 11 submissions saddened by the closure news. “We will be following up with this until announced the bank’s Gisborne branch regarding the Gisborne branch closure “I had hoped that community responses we get action.” will close as of June 30. -
Template for Electronic Journal of Severe Storms Meteorology
Lyza, A. W., A. W. Clayton, K. R. Knupp, E. Lenning, M. T. Friedlein, R. Castro, and E. S. Bentley, 2017: Analysis of mesovortex characteristics, behavior, and interactions during the second 30 June‒1 July 2014 midwestern derecho event. Electronic J. Severe Storms Meteor., 12 (2), 1–33. Analysis of Mesovortex Characteristics, Behavior, and Interactions during the Second 30 June‒1 July 2014 Midwestern Derecho Event ANTHONY W. LYZA, ADAM W. CLAYTON, AND KEVIN R. KNUPP Department of Atmospheric Science, Severe Weather Institute—Radar and Lightning Laboratories University of Alabama in Huntsville, Huntsville, Alabama ERIC LENNING, MATTHEW T. FRIEDLEIN, AND RICHARD CASTRO NOAA/National Weather Service, Romeoville, Illinois EVAN S. BENTLEY NOAA/National Weather Service, Portland, Oregon (Submitted 19 February 2017; in final form 25 August 2017) ABSTRACT A pair of intense, derecho-producing quasi-linear convective systems (QLCSs) impacted northern Illinois and northern Indiana during the evening hours of 30 June through the predawn hours of 1 July 2014. The second QLCS trailed the first one by only 250 km and approximately 3 h, yet produced 29 confirmed tornadoes and numerous areas of nontornadic wind damage estimated to be caused by 30‒40 m s‒1 flow. Much of the damage from the second QLCS was associated with a series of 38 mesovortices, with up to 15 mesovortices ongoing simultaneously. Many complex behaviors were documented in the mesovortices, including: a binary (Fujiwhara) interaction, the splitting of a large mesovortex in two followed by prolific tornado production, cyclic mesovortexgenesis in the remains of a large mesovortex, and a satellite interaction of three small mesovortices around a larger parent mesovortex. -
Fossil Fuels
Gonzaga Debate Institute 1 Warming Core Warming Bad Gonzaga Debate Institute 2 Warming Core ***Science Debate*** Gonzaga Debate Institute 3 Warming Core Warming Real – Generic Warming real - consensus Brooks 12 - Staff writer, KQED news (Jon, staff writer, KQED news, citing Craig Miller, environmental scientist, 5/3/12, "Is Climate Change Real? For the Thousandth Time, Yes," KQED News, http://blogs.kqed.org/newsfix/2012/05/03/is- climate-change-real-for-the-thousandth-time-yes/) BROOKS: So what are the organizations that say climate change is real? MILLER: Virtually ever major, credible scientific organization in the world. It’s not just the UN’s Intergovernmental Panel on Climate Change. Organizations like the National Academy of Sciences, the American Geophysical Union, the American Association for the Advancement of Science. And that's echoed in most countries around the world. All of the most credible, most prestigious scientific organizations accept the fundamental findings of the IPCC. The last comprehensive report from the IPCC, based on research, came out in 2007. And at that time, they said in this report, which is known as AR-4, that there is "very high confidence" that the net effect of human activities since 1750 has been one of warming. Scientists are very careful, unusually careful, about how they put things. But then they say "very likely," or "very high confidence," they’re talking 90%. BROOKS: So it’s not 100%? MILLER: In the realm of science; there’s virtually never 100% certainty about anything. You know, as someone once pointed out, gravity is a theory. BROOKS: Gravity is testable, though.. -
8.01 the Early History of Life E
8.01 The Early History of Life E. G. Nisbet and C. M. R. Fowler Royal Holloway, University of London, Egham, UK 8.01.1 INTRODUCTION 2 8.01.1.1 Strangeness and Familiarity—The Youth of the Earth 2 8.01.1.2 Evidence in Rocks, Moon, Planets, and Meteorites—The Sources of Information 3 8.01.1.3 Reading the Palimpsests—Using Evidence from the Modern Earth and Biology to Reconstruct the Ancestors and their Home 3 8.01.1.4 Modeling—The Problem of Taking Fragments of Evidence and Rebuilding the Childhood of the Planet 3 8.01.1.5 What Does a Planet Need to be Habitable? 4 8.01.1.6 The Power of Biology: The Infinite Improbability Drive 4 8.01.2 THE HADEAN (,4.56–4.0 Ga AGO) 5 8.01.2.1 Definition of Hadean 5 8.01.2.2 Building a Habitable Planet 5 8.01.2.3 The Hadean Record 7 8.01.2.4 When and Where Did Life Start? 7 8.01.3 THE ARCHEAN (,4–2.5 Ga AGO) 8 8.01.3.1 Definition of Archean 8 8.01.3.2 The Archean Record 8 8.01.3.2.1 Greenland 8 8.01.3.2.2 Barberton 9 8.01.3.2.3 Western Australia 9 8.01.3.2.4 Steep Rock, Ontario, and Pongola, South Africa 10 8.01.3.2.5 Belingwe 11 8.01.4 THE FUNCTIONING OF THE EARTH SYSTEM IN THE ARCHEAN 11 8.01.4.1 The Physical State of the Archean Planet 11 8.01.4.2 The Surface Environment 13 8.01.5 LIFE: EARLY SETTING AND IMPACT ON THE ENVIRONMENT 14 8.01.5.1 Origin of Life 14 8.01.5.2 RNA World 15 8.01.5.3 The Last Common Ancestor 17 8.01.5.4 A Hyperthermophile Heritage? 19 8.01.5.5 Metabolic Strategies 21 8.01.6 THE EARLY BIOMES 21 8.01.6.1 Location of Early Biomes 21 8.01.6.2 Methanogenesis: Impact on the Environment 22