Mediterranean Cyclones and Offshore Structures
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P1.24 a Typhoon Loss Estimation Model for China
P1.24 A TYPHOON LOSS ESTIMATION MODEL FOR CHINA Peter J. Sousounis*, H. He, M. L. Healy, V. K. Jain, G. Ljung, Y. Qu, and B. Shen-Tu AIR Worldwide Corporation, Boston, MA 1. INTRODUCTION the two. Because of its wind intensity (135 mph maximum sustained winds), it has been Nowhere 1 else in the world do tropical compared to Hurricane Katrina 2005. But Saomai cyclones (TCs) develop more frequently than in was short lived, and although it made landfall as the Northwest Pacific Basin. Nearly thirty TCs are a strong Category 4 storm and generated heavy spawned each year, 20 of which reach hurricane precipitation, it weakened quickly. Still, economic or typhoon status (cf. Fig. 1). Five of these reach losses were ~12 B RMB (~1.5 B USD). In super typhoon status, with windspeeds over 130 contrast, Bilis, which made landfall a month kts. In contrast, the North Atlantic typically earlier just south of where Saomai hit, was generates only ten TCs, seven of which reach actually only tropical storm strength at landfall hurricane status. with max sustained winds of 70 mph. Bilis weakened further still upon landfall but turned Additionally, there is no other country in the southwest and traveled slowly over a period of world where TCs strike with more frequency than five days across Hunan, Guangdong, Guangxi in China. Nearly ten landfalling TCs occur in a and Yunnan Provinces. It generated copious typical year, with one to two additional by-passing amounts of precipitation, with large areas storms coming close enough to the coast to receiving more than 300 mm. -
NWS Unified Surface Analysis Manual
Unified Surface Analysis Manual Weather Prediction Center Ocean Prediction Center National Hurricane Center Honolulu Forecast Office November 21, 2013 Table of Contents Chapter 1: Surface Analysis – Its History at the Analysis Centers…………….3 Chapter 2: Datasets available for creation of the Unified Analysis………...…..5 Chapter 3: The Unified Surface Analysis and related features.……….……….19 Chapter 4: Creation/Merging of the Unified Surface Analysis………….……..24 Chapter 5: Bibliography………………………………………………….…….30 Appendix A: Unified Graphics Legend showing Ocean Center symbols.….…33 2 Chapter 1: Surface Analysis – Its History at the Analysis Centers 1. INTRODUCTION Since 1942, surface analyses produced by several different offices within the U.S. Weather Bureau (USWB) and the National Oceanic and Atmospheric Administration’s (NOAA’s) National Weather Service (NWS) were generally based on the Norwegian Cyclone Model (Bjerknes 1919) over land, and in recent decades, the Shapiro-Keyser Model over the mid-latitudes of the ocean. The graphic below shows a typical evolution according to both models of cyclone development. Conceptual models of cyclone evolution showing lower-tropospheric (e.g., 850-hPa) geopotential height and fronts (top), and lower-tropospheric potential temperature (bottom). (a) Norwegian cyclone model: (I) incipient frontal cyclone, (II) and (III) narrowing warm sector, (IV) occlusion; (b) Shapiro–Keyser cyclone model: (I) incipient frontal cyclone, (II) frontal fracture, (III) frontal T-bone and bent-back front, (IV) frontal T-bone and warm seclusion. Panel (b) is adapted from Shapiro and Keyser (1990) , their FIG. 10.27 ) to enhance the zonal elongation of the cyclone and fronts and to reflect the continued existence of the frontal T-bone in stage IV. -
Tropical Cyclogenesis Associated with Rossby Wave Energy Dispersion of a Preexisting Typhoon
VOLUME 63 JOURNAL OF THE ATMOSPHERIC SCIENCES MAY 2006 Tropical Cyclogenesis Associated with Rossby Wave Energy Dispersion of a Preexisting Typhoon. Part I: Satellite Data Analyses* TIM LI AND BING FU Department of Meteorology, and International Pacific Research Center, University of Hawaii at Manoa, Honolulu, Hawaii (Manuscript submitted 20 September 2004, in final form 7 June 2005) ABSTRACT The structure and evolution characteristics of Rossby wave trains induced by tropical cyclone (TC) energy dispersion are revealed based on the Quick Scatterometer (QuikSCAT) and Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) data. Among 34 cyclogenesis cases analyzed in the western North Pacific during 2000–01 typhoon seasons, six cases are associated with the Rossby wave energy dispersion of a preexisting TC. The wave trains are oriented in a northwest–southeast direction, with alternating cyclonic and anticyclonic vorticity circulation. A typical wavelength of the wave train is about 2500 km. The TC genesis is observed in the cyclonic circulation region of the wave train, possibly through a scale contraction process. The satellite data analyses reveal that not all TCs have a Rossby wave train in their wakes. The occur- rence of the Rossby wave train depends to a certain extent on the TC intensity and the background flow. Whether or not a Rossby wave train can finally lead to cyclogenesis depends on large-scale dynamic and thermodynamic conditions related to both the change of the seasonal mean state and the phase of the tropical intraseasonal oscillation. Stronger low-level convergence and cyclonic vorticity, weaker vertical shear, and greater midtropospheric moisture are among the favorable large-scale conditions. -
Learning from Hurricane Hugo: Implications for Public Policy
LEARNING FROM HURRICANE HUGO: IMPLICATIONS FOR PUBLIC POLICY prepared for the FEDERAL INSURANCE ADMINISTRATION FEDERAL EMERGENCY MANAGEMENT AGENCY 500 C Street, S.W. Washington, D.C. 20472 under contract no. EMW-90-G-3304,A001 June 1992 CONTENTS INTRODUCTION ............................... 1.............I PHYSICAL CHARACTERISTICS OF THE STORM . 3 Wind Speeds .3 IMPACTS ON NATURAL SYSTEMS 5 ................................ Biological Systems ....... .................................5 Dunes and Beaches ....... .5............................... Beach Nourishment . .................................7 IMPACTS ON HUMANS AND HUMAN SYSTEMS ............................ 9 Deaths and Injuries ............................ 9 Housing ............................ 9 Utilities ................... 10 Transportation Systems .1................... 10 The Economy ................... 11 Psychological Effects ................... 11 INSURANCE .......................... 13 COASTAL DEVELOPMENT .......................... 14 Setbacks ........................... 15 Coastal Protection Structures .......................... 16 PERFORMANCE OF STRUCTURES ..... .... 18 Effects of Wind and/or Water ...... .... 18 Effects of Water, Waves, or Erosion . .. .18 Effects of Wind .............. .... 19 Foundations .................. .... 21 Slabs ................ .... 22 Piers and Columns ....... .... 22 Pilings............... .... 22 Elevation .................. .... 23 Lower Area Enclosures .... .... 23 Connections ................. ....24 Manufactured Housing .......... .... 24 -
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. -
Influence of Sea Salt Aerosols on the Development of Mediterranean
Atmos. Chem. Phys., 21, 13353–13368, 2021 https://doi.org/10.5194/acp-21-13353-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Influence of sea salt aerosols on the development of Mediterranean tropical-like cyclones Enrique Pravia-Sarabia1, Juan José Gómez-Navarro1, Pedro Jiménez-Guerrero1,2, and Juan Pedro Montávez1 1Physics of the Earth, Regional Campus of International Excellence (CEIR) “Campus Mare Nostrum”, University of Murcia, 30100 Murcia, Spain 2Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain Correspondence: Juan Pedro Montávez ([email protected]) Received: 23 December 2020 – Discussion started: 11 February 2021 Revised: 26 July 2021 – Accepted: 16 August 2021 – Published: 9 September 2021 Abstract. Medicanes are mesoscale tropical-like cyclones 1 Introduction that develop in the Mediterranean basin and represent a great hazard for the coastal population. The skill to accurately simulate them is of utmost importance to prevent econom- Mediterranean tropical-like cyclones, also known as medi- ical and personal damage. Medicanes are fueled by the la- canes (from mediterranean hurricanes), are mesoscale per- tent heat released in the condensation process associated turbations that exhibit tropical characteristics, such as an with convective activity, which is regulated by the pres- eye-like feature and warm core. These storms are character- ence and activation of cloud condensation nuclei, mainly ized by high wind speeds and vertically aligned geopoten- originating from sea salt aerosols (SSAs) for marine envi- tial height perturbations along different pressure levels. Just ronments. Henceforth, the purpose of this contribution is like regular tropical cyclones, medicanes represent a hazard twofold: assessing the effects of an interactive calculation of for the population of coastal areas. -
Hurricane Boundary Layer Height Relative to Storm Motion from GPS Dropsonde Composites
atmosphere Article Hurricane Boundary Layer Height Relative to Storm Motion from GPS Dropsonde Composites Yifang Ren 1, Jun A. Zhang 2,3,* , Stephen R. Guimond 4,5 and Xiang Wang 6 1 The Center of Jiangsu Meteorological Service, Nanjing 21008, China; [email protected] 2 Cooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL 33149, USA 3 NOAA/AOML/Hurricane Research Division, Miami, FL 33149, USA 4 Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD 21250, USA; [email protected] 5 NASA Goddard Space Flight Center (GSFC), Greenbelt, MD 20771, USA 6 Centre of Data Assimilation for Research and Application, Nanjing University of Information Science & Technology, Nanjing 210044, China; [email protected] * Correspondence: [email protected] Received: 9 May 2019; Accepted: 10 June 2019; Published: 21 June 2019 Abstract: This study investigates the asymmetric distribution of hurricane boundary layer height scales in a storm-motion-relative framework using global positioning system (GPS) dropsonde observations. Data from a total of 1916 dropsondes collected within four times the radius of maximum wind speed of 37 named hurricanes over the Atlantic basin from 1998 to 2015 are analyzed in the composite framework. Motion-relative quadrant mean composite analyses show that both the kinematic and thermodynamic boundary layer height scales tend to increase with increasing radius in all four motion-relative quadrants. It is also found that the thermodynamic mixed layer depth and height of maximum tangential wind speed are within the inflow layer in all motion-relative quadrants. The inflow layer depth and height of the maximum tangential wind are both found to be deeper in the two front quadrants, and they are largest in the right-front quadrant. -
Tropical Cyclones: Meteorological Aspects Mark A
Tropical Cyclones: Meteorological Aspects Mark A. Lander1 Water and Environmental Research Institute of the Western Pacific, University of Guam, UOG Station, Mangilao, Guam (USA) 96923 Sailors have long recognized the existence of deadly storms in Every year, TCs claim many lives—occasionally exceeding tropical latitudes where the weather was usually a mix of bright sun and 100,000. Some of the world’s greatest natural disasters have been gentle breezes with quickly passing showers. These terrifying storms associated with TCs. For example, Tropical Cyclone 02B was the were known to have a core of screaming winds accompanied by deadliest and most destructive natural disaster on earth in 1991. The blinding rain, spume and sea spray, and sharply lowered barometric associated extreme storm surge along the coast of Bangladesh was the pressure. When the sailors were lucky enough to survive penetration primary reason for the loss of 138,000 lives (Joint Typhoon Warning to the core of such violent weather, they found a region of calm. This Center, 1991). It occurred 19 years after the loss of ≈300,000 lives in region is the signature characteristic and best-known feature of these Bangladesh by a similar TC striking the low-lying Ganges River storms—the eye (Fig. 1). region in April 1970. In a more recent example, flooding caused by These violent storms of the tropical latitudes were known to be Hurricane Mitch killed 10,000+ people in Central America in Fall seasonal, hence their designation by Atlantic sailors as “line” storms, 1998. Nearly all tropical islands—the islands of the Caribbean, Ha- in reference to the sun’s crossing of the line (equator) in September (the waii, French Polynesia, Micronesia, Fiji, Samoa, Mauritius, La Re- month of peak hurricane activity in the North Atlantic). -
Analysis on Typhoon Longwang Intensity Changes Over the Ocean Via Satellite Data
Journal of MarineC.-C. Science Liu etand al .:Technology, Analysis on Vol. Typhoon 17, No. Longwang 1, pp. 23-28 Intensity (2009) Changes Over the Ocean via Satellite Data 23 ANALYSIS ON TYPHOON LONGWANG INTENSITY CHANGES OVER THE OCEAN VIA SATELLITE DATA Chung-Chih Liu*, Tian-Yow Shyu**, Chun-Chieh Chao***, and Yu-Feng Lin*** Key words: typhoon, anticyclonic divergence, radiate. I. INTRODUCTION Typhoons are one of nature’s most destructive weather sys- ABSTRACT tems. Most of them form and develop over the ocean. However, traditional observations are often not sufficient, due to the dif- The changes in the typhoon intensity are a very important ficulty and resources required for the data collection. Thus, process. In this study, we used satellite data to analyze the cloud satellite remote sensing data serves as a much better choice in structure of Typhoon Longwang. Results show that the changes terms of its spatial and temporal resolutions. The geostationary in the high level cirrus pattern seemed to have a connection to meteorological satellite has become an available tool for de- the typhoon intensity. During the time period from 0600UTC to termining the typhoon location, structure and intensity. When 1200UTC 30 September 2005, the high level cirrus clouds of geostationary satellite images were available, the identification Typhoon Longwang radiated from the inner core region. The and tracking of tropical cyclones turned into a trivial task. cloud area that Typhoon Longwang covered grew larger, and the However, many problems still exist in terms of weaker tropical pattern changed from a asymmetric to symmetric distribution cyclones. The scientists at NOAA/NESDIS led by Vern Dvorak during 0000UTC to 1200UTC 30 September 2005. -
An Analysis of Hurricane Irma's Maximum Winds in South Florida
An Analysis of Hurricane Irma’s Maximum Winds in South Florida Andrew B. Hagen, Kevin Scharfenberg, Arlena Moses, Stephen Konarik, Robert Garcia Hurricane Irma struck South Florida on 10 September 2017 and caused significant wind damage to structures and trees as well as widespread power loss. Irma caused more than personal inconvenience to many South Floridians, and its aftermath left people asking how they can be better prepared for the next hurricane. From a wind impact perspective, it is important to spatially quantify the wind magnitude so that residents and business owners of South Florida can have a better understanding of the maximum wind speeds experienced in their neighborhood during Irma. Hurricane Irma’s winds have been analyzed across the National Weather Service Miami County Warning Area, which includes the Florida Peninsula from Lake Okeechobee southward and adjacent coastal waters of the Gulf of Mexico and Atlantic Ocean. All available data from surface- based weather stations and anemometers are incorporated. WSR-88D Doppler velocity data were also analyzed and used to fill in the gaps for locations where observations are sparse. These data were further augmented with results of ground wind damage surveys. Detailed, color-contoured maps of sustained winds and gusts have been created in addition to a list of observations. For the purposes of consistency on the color-contoured map, all sustained wind observations are converted to a 10 meter, one minute average using standard conversion metrics. The results indicate that sustained hurricane force winds up to Category 2 strength on the Saffir-Simpson Hurricane Wind Scale with higher gusts occurred in southern portions of coastal Collier County, including portions of the Naples area. -
RMS Philippines Typhoon and Inland Flood Model Captures Risk from Typhoon Wind and Flooding, Coastal Storm Surge, and Seasonal Precipitation-Driven Flooding
RMS Philippines Typhoon and Inland Flood Model Captures Risk From Typhoon Wind and Flooding, Coastal Storm Surge, and Seasonal Precipitation-Driven Flooding Overview KEY FEATURES Situated on the Pacific Ring of Fire and in the western North Pacific Typhoon AND BENEFITS Basin, the Philippines is one of the most disaster-prone countries in the world. Approximately 20 tropical cyclones enter the Philippine Area of Responsibility each year, with around eight making landfall. The transition of the Philippine economy Captures the risk from typhoon • from agriculture to services and manufacturing has increased the value of exposure wind and flooding plus seasonal monsoon-driven flooding at risk to typhoons and flooding. • Precipitation-driven inland flood The RMS® Philippines Typhoon and Inland Flood Model enables users to model the model and fully hydrodynamic typhoon-related risks of wind, typhoon-driven flood, and storm surge, in addition to surge model for key coastal areas seasonal and monsoon flood events. The model expands the RMS suite of climate Hazard modeled at high • modeling solutions to the Philippines. geographical resolution to accurately capture the variations in risk Complete Wind and Flood Risk Solution • Stochastic event set contains Tropical cyclones bring the associated perils of strong wind, heavy precipitation, and thousands of tropical cyclone storm surge leading to flooding. These three typhoon-related perils are captured tracks to capture the full spectrum by a set of thousands of stochastic tropical cyclone tracks representing the full of landfalling and bypassing spectrum of potential landfalling and bypassing events to affect the Philippines. storms In addition, the southwest Habagat monsoon from May to October, and northeast • Model includes almost 1,000 Amihan monsoon from November to April can bring heavy rainfall and flooding.