Numerical Simulation of a Quasi-Tropical Cyclone Over the Black Sea
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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. -
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. -
Extratropical Cyclone Classification and Its Use in Climate Studies
ORE Open Research Exeter TITLE Extratropical cyclone classification and its use in climate studies AUTHORS Catto, JL JOURNAL Reviews of Geophysics DEPOSITED IN ORE 03 July 2018 This version available at http://hdl.handle.net/10871/33351 COPYRIGHT AND REUSE Open Research Exeter makes this work available in accordance with publisher policies. A NOTE ON VERSIONS The version presented here may differ from the published version. If citing, you are advised to consult the published version for pagination, volume/issue and date of publication Reviews of Geophysics REVIEW ARTICLE Extratropical cyclone classification and its use 10.1002/2016RG000519 in climate studies Key Points: J. L. Catto1 • There are a number of methods used to classify extratropical cyclones 1School of Earth, Atmosphere and Environment, Monash University, Clayton, Victoria, Australia that provide insight into their development and impacts •Evaluationofclimatemodelscould benefit from consideration of cyclone Abstract Extratropical cyclones have long been known to be important for midlatitude weather. It is types, especially those with stronger therefore important that our current state-of-the-art climate models are able to realistically represent these diabatic contributions • Climate change may influence the features, in order that we can have confidence in how they are projected to change in a warming climate. location, frequency, intensity, and Despite the observation that these cyclones are extremely variable in their structure and features, there types of cyclones that occur have, over the years, been numerous attempts to classify or group them. Such classifications can provide insight into the different cloud structures, airflows, and dynamical forcing mechanisms within the different Correspondence to: cyclone types. -
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. -
Can Polar Lows Be Objectively Identified and Tracked in the ECMWF Operational Analysis and the ERA-Interim Reanalysis?
2596 MONTHLY WEATHER REVIEW VOLUME 142 Can Polar Lows be Objectively Identified and Tracked in the ECMWF Operational Analysis and the ERA-Interim Reanalysis? GIUSEPPE ZAPPA AND LEN SHAFFREY National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, United Kingdom KEVIN HODGES National Centre for Earth Observation, University of Reading, Reading, United Kingdom (Manuscript received 18 February 2014, in final form 2 April 2014) ABSTRACT Polar lows are maritime mesocyclones associated with intense surface wind speeds and oceanic heat fluxes at high latitudes. The ability of the Interim ECMWF Re-Analysis (ERA-Interim, hereafter ERAI) to represent polar lows in the North Atlantic is assessed by comparing ERAI and the ECMWF operational analysis for the period 2008–11. First, the representation of a set of satellite-observed polar lows over the Norwegian and Barents Seas in the operational analysis and ERAI is analyzed. Then, the possibility of directly identifying and tracking the polar lows in the operational analysis and ERAI is explored using a tracking algorithm based on 850-hPa vorticity with objective identification criteria on cyclone dynamical intensity and atmospheric static stability. All but one of the satellite-observed polar lows with a lifetime of at least 6 h have an 850-hPa vorticity signature of a collocated mesocyclone in both the operational analysis and ERAI for most of their life cycles. However, the operational analysis has vorticity structures that better resemble the observed cloud patterns and stronger surface wind speed intensities compared to those in ERAI. By applying the objective identification criteria, about 55% of the satellite-observed polar lows are identified and tracked in ERAI, while this fraction increases to about 70% in the operational analysis. -
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. -
Calculating Tropical Cyclone Critical Wind RADII and Storm Size Using NSCAT Winds
Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 1998-03 Calculating tropical cyclone critical wind RADII and storm size using NSCAT winds Magnan, Scott G. Monterey, California. Naval Postgraduate School http://hdl.handle.net/10945/8044 'HUUU But 3ADU; NK fCK^943-5101 DUDLEY KNOX LIBRARY NAVAL POSTGRADUATE SCHOOL M0N7TOEY CA 93943-5101 MOX LIBRA ~H0OL Y CA9394^.01 NAVAL POSTGRADUATE SCHOOL Monterey, California THESIS CALCULATING TROPICAL CYCLONE CRITICAL WIND RADII AND STORM SIZE USING NSCAT WINDS by Scott G. Magnan March, 1998 Thesis Advisor: Russell L. Elsberry Thesis Co-Advisor: Lester E. Carr, HI Approved for public release; distribution is unlimited. 93943-Si MONTEREY CA REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1 . AGENCY USE ONLY (Leave blank) 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED March, 1998. Master's Thesis 4. TTTLE AND SUBTITLE CALCULATING TROPICAL CYCLONE FUNDING NUMBERS CRITICAL WIND RADII AND STORM SIZE USING NSCAT WINDS 6. AUTHOR(S) Scott G. Magnan 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) PERFORMING Naval Postgraduate School ORGANIZATION Monterey CA 93943-5000 REPORT NUMBER 9. -
Severe Storms [Article MS-366 for the Encyclopedia of Atmospheric Sciences]
Severe Storms [article MS-366 for the Encyclopedia of Atmospheric Sciences] Charles A. Doswell III, NOAA/National Severe Storms Laboratory, 1313 Halley Circle, Norman, Oklahoma 73069, U.S.A. Introduction The word “storm” implies a disturbance of some sort in the weather, but many different types of weather can result in an event called a “storm.” Thus, it is possible to have windstorms, dust storms (which also are windstorms), hailstorms, thunderstorms, winter storms, tropical storms, and so on. Generally speaking, events called “storms” are associated with cyclones; undisturbed weather is usually found with anticyclones. Similarly, the meaning of severity needs to be considered. The intensity of the event in question is going to be the basis for deciding on the severity of that particular storm. However, if storm intensity is to be our basis for categorizing a storm as severe, then we have to decide what measure we are going to use for intensity. This also implies an arbitrary threshold for deciding the issue of severity. That is, weather events of a given type are going to the called severe when some measure of that event’s intensity meets or exceeds a threshold which is usually more or less arbitrary. A hailstorm might be severe when the hailstone diameters reach 2 cm or larger, a winter snowstorm might be called severe when the snowfall rate equals or exceeds 5 cm per hour. On the other hand, some storms of any intensity might be considered severe. A tornado is a “storm” embedded within a thunderstorm; any tornado of any intensity is considered a severe storm. -
22Wxhzd&Polar Lows
Lecture 22 Weather Hazards Weather Hazards in Winter Storms and Polar Lows Polar low seen in an infrared image from a polar orbiting satellite Hazards associated with Midlatitude Cyclones 1 2 Weather Hazards Winter Storm - Hazards • High Winds – Nor’easter, Blizzard Conditions, Turbulence • Frozen Precipitation Blizzard – Blizzard Conditions, Snow, Sleet and Freezing High winds Sleet and ZR Rain, Aircraft Icing, Riming, Snow Avalanches • Heavy Rain Severe T-storms Tornados – Flooding, Flash Floods, Mud Slides High winds • Large Ocean Swell and Waves – High Surf, Storm Surge • Severe Thunderstorms – Tornados, Large Hail, High Winds, Lightning Where are the hazards? 3 4 High Winds Where do the Hazards Occur? Where do we find the strongest winds in a midlatitude cyclone? Blizzard conditions occur N and NW of • Surface surface-low center. – Where the pressure gradient is largest, often on NW side of storm. – Near convective clouds (including tornados) – Near the fronts Nor’easters • Upper Air • Strong low pressure systems moving up – Where the pressure gradient is largest Atlantic seaboard – In pulses superimposed on the jet stream • Strong winds and heavy – these pulses are sometimes called jet streaks precipitation (blizzards). – turbulence is found near jets in regions of large wind shear 5 6 Hazards – High Winds Precipitation Patterns Radar View of Precipitation Where does air rise • Along the fronts • In areas of convection • Around surface the low center 7 8 Hazards – Sleet and Freezing Rain Hazard – Freezing Rain The Rain – Snow Line • North of the warm front there is a transition from rain to snow called the rain- snow line. Kansas City, MO, January 31, 2002. -
A Climatology of Tropical Cyclone Size in the Western North Pacific Using an Alternative Metric Thomas B
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2017 A Climatology of Tropical Cyclone Size in the Western North Pacific Using an Alternative Metric Thomas B. (Thomas Brian) McKenzie III Follow this and additional works at the DigiNole: FSU's Digital Repository. For more information, please contact [email protected] FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES A CLIMATOLOGY OF TROPICAL CYCLONE SIZE IN THE WESTERN NORTH PACIFIC USING AN ALTERNATIVE METRIC By THOMAS B. MCKENZIE III A Thesis submitted to the Department of Earth, Ocean and Atmospheric Science in partial fulfillment of the requirements for the degree of Master of Science 2017 Copyright © 2017 Thomas B. McKenzie III. All Rights Reserved. Thomas B. McKenzie III defended this thesis on March 23, 2017. The members of the supervisory committee were: Robert E. Hart Professor Directing Thesis Vasubandhu Misra Committee Member Jeffrey M. Chagnon Committee Member The Graduate School has verified and approved the above-named committee members, and certifies that the thesis has been approved in accordance with university requirements. ii To Mom and Dad, for all that you’ve done for me. iii ACKNOWLEDGMENTS I extend my sincere appreciation to Dr. Robert E. Hart for his mentorship and guidance as my graduate advisor, as well as for initially enlisting me as his graduate student. It was a true honor working under his supervision. I would also like to thank my committee members, Dr. Vasubandhu Misra and Dr. Jeffrey L. Chagnon, for their collaboration and as representatives of the thesis process. Additionally, I thank the Civilian Institution Programs at the Air Force Institute of Technology for the opportunity to earn my Master of Science degree at Florida State University, and to the USAF’s 17th Operational Weather Squadron at Joint Base Pearl Harbor-Hickam, HI for sponsoring my graduate program and providing helpful feedback on the research. -
Climate Change and Hurricane-Like Extratropical Cyclones: Projections for North Atlantic Polar Lows and Medicanes Based on CMIP5 Models
Climate Change and Hurricane-Like Extratropical Cyclones: Projections for North Atlantic Polar Lows and Medicanes Based on CMIP5 Models The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Romero, R., and Emanuel, K. “Climate Change and Hurricane-Like Extratropical Cyclones: Projections for North Atlantic Polar Lows and Medicanes Based on CMIP5 Models.” Journal of Climate 30, 1 (January 2017): 279–299 © 2017 American Meteorological Society As Published http://dx.doi.org/10.1175/jcli-d-16-0255.1 Publisher American Meteorological Society Version Final published version Citable link http://hdl.handle.net/1721.1/111170 Terms of Use Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. 1JANUARY 2017 R O M E R O A N D E M A N U E L 279 Climate Change and Hurricane-Like Extratropical Cyclones: Projections for North Atlantic Polar Lows and Medicanes Based on CMIP5 Models R. ROMERO Departament de Fı´sica, Universitat de les Illes Balears, Palma de Mallorca, Spain K. EMANUEL Department of Atmospheric Science, Massachusetts Institute of Technology, Cambridge, Massachusetts (Manuscript received 28 March 2016, in final form 14 September 2016) ABSTRACT A novel statistical–deterministic method is applied to generate thousands of synthetic tracks of North Atlantic (NA) polar lows and Mediterranean hurricanes (‘‘medicanes’’); these synthetic storms are com- patible with the climates simulated by 30 CMIP5 models in both historical and RCP8.5 simulations for a recent (1986–2005) and a future (2081–2100) period, respectively. -
Maximum Wind Radius Estimated by the 50 Kt Radius: Improvement of Storm Surge Forecasting Over the Western North Pacific
Nat. Hazards Earth Syst. Sci., 16, 705–717, 2016 www.nat-hazards-earth-syst-sci.net/16/705/2016/ doi:10.5194/nhess-16-705-2016 © Author(s) 2016. CC Attribution 3.0 License. Maximum wind radius estimated by the 50 kt radius: improvement of storm surge forecasting over the western North Pacific Hiroshi Takagi and Wenjie Wu Tokyo Institute of Technology, Graduate School of Science and Engineering, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan Correspondence to: Hiroshi Takagi ([email protected]) Received: 8 September 2015 – Published in Nat. Hazards Earth Syst. Sci. Discuss.: 27 October 2015 Revised: 18 February 2016 – Accepted: 24 February 2016 – Published: 11 March 2016 Abstract. Even though the maximum wind radius (Rmax) countries such as Japan, China, Taiwan, the Philippines, and is an important parameter in determining the intensity and Vietnam. size of tropical cyclones, it has been overlooked in previous storm surge studies. This study reviews the existing estima- tion methods for Rmax based on central pressure or maximum wind speed. These over- or underestimate Rmax because of 1 Introduction substantial variations in the data, although an average radius can be estimated with moderate accuracy. As an alternative, The maximum wind radius (Rmax) is one of the predominant we propose an Rmax estimation method based on the radius of parameters for the estimation of storm surges and is defined the 50 kt wind (R50). Data obtained by a meteorological sta- as the distance from the storm center to the region of maxi- tion network in the Japanese archipelago during the passage mum wind speed.