Specific Tropical Cyclone Track Types and Unusual Tropical Cyclone
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An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting
Linköping Studies in Science and Technology Dissertations. No. 1734 An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting by Chandan Roy Department of Computer and Information Science Linköping University SE-581 83 Linköping, Sweden Linköping 2016 Cover image: Hurricane Isabel (2003), NASA, image in public domain. Copyright © 2016 Chandan Roy ISBN: 978-91-7685-854-7 ISSN 0345-7524 Printed by LiU Tryck, Linköping 2015 URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-123198 ii Abstract Introduction: Tropical Cyclones (TCs) inflict considerable damage to life and property every year. A major problem is that residents often hesitate to follow evacuation orders when the early warning messages are perceived as inaccurate or uninformative. The root problem is that providing accurate early forecasts can be difficult, especially in countries with less economic and technical means. Aim: The aim of the thesis is to investigate how cyclone early warning systems can be technically improved. This means, first, identifying problems associated with the current cyclone early warning systems, and second, investigating if biologically based Artificial Neural Networks (ANNs) are feasible to solve some of the identified problems. Method: First, for evaluating the efficiency of cyclone early warning systems, Bangladesh was selected as study area, where a questionnaire survey and an in-depth interview were administered. Second, a review of currently operational TC track forecasting techniques was conducted to gain a better understanding of various techniques’ prediction performance, data requirements, and computational resource requirements. Third, a technique using biologically based ANNs was developed to produce TC track and intensity forecasts. -
Low Level Wind Patterns Over the Indian Ocean
Low level wind patterns over the Indian Ocean Langlade Sébastien, tropical cyclone forecaster based on Hastenrath and Polzin, 2004, Dynamics of the windfield over the equatorial Indian Ocean, Q. J. R. Meteorol. Soc. (2004), 130, pp. 503–517 La Réunion, 2019/11/04 OUTLINE ■ Indian Ocean annual cycle and associated low level wind patterns ― Background ― Austral summer ― Austral winter ― Austral spring / autumn ■ Other wind patterns ■ Conclusion Tropical Indian Ocean surface winds patterns: Background Hastenrath etal., 2004 ■ 1 Austral summer 2 Austral autumn 3 Austral winter 2 Austral spring Tropical Indian Ocean surface winds patterns: Background Hastenrath etal., 2004 ■ 1 Austral summer 2 Austral autumn 3 Austral winter 2 Austral spring Austral summer (January to March) Austral summer (January to March) H L Austral summer (January to March) H L Austral summer (January to March) Monsoon Trough H (MT) L h Austral summer (January to March) Monsoon Trough définition: Low level trough (surface to 850 hPa) located equator within the mixing area between the monsoon and tradewinds flow. Associated equatorial winds have a strong meridional component. → Low level large scale vorticity associated. Austral summer (January to March) 18th February 2009 Winds at 925 hPa Equator Monsoon Trough (MT) Austral winter (June to August) Austral winter (June to August) L H L H Austral winter (June to August) L H Austral winter (June to August) ≥ 28 kt ≥ 16 kt H ≤ 4 kt L≤ 4 kt ≥ 16 kt Austral winter (June to August) India and south-eastern Asia monsoons ≥ 28 kt -
Mesoscale Interactions in Tropical Cyclone Genesis
OCTOBER 1997 SIMPSON ET AL. 2643 Mesoscale Interactions in Tropical Cyclone Genesis J. SIMPSON Earth Sciences Directorate, NASA/Goddard Space Flight Center, Greenbelt, Maryland E. RITCHIE Department of Meteorology, Naval Postgraduate School, Monterey, California G. J. HOLLAND Bureau of Meteorology Research Centre, Melbourne, Australia J. HALVERSON* Visiting Fellow, University Space Research Association, NASA/Goddard Space Flight Center, Greenbelt, Maryland S. STEWART NEXRAD OSF/OTB, National Weather Service, NOAA, Norman, Oklahoma (Manuscript received 21 November 1996, in ®nal form 13 February 1997) ABSTRACT With the multitude of cloud clusters over tropical oceans, it has been perplexing that so few develop into tropical cyclones. The authors postulate that a major obstacle has been the complexity of scale interactions, particularly those on the mesoscale, which have only recently been observable. While there are well-known climatological requirements, these are by no means suf®cient. A major reason for this rarity is the essentially stochastic nature of the mesoscale interactions that precede and contribute to cyclone development. Observations exist for only a few forming cases. In these, the moist convection in the preformation environment is organized into mesoscale convective systems, each of which have associated mesoscale potential vortices in the midlevels. Interactions between these systems may lead to merger, growth to the surface, and development of both the nascent eye and inner rainbands of a tropical cyclone. The process is essentially stochastic, but the degree of stochasticity can be reduced by the continued interaction of the mesoscale systems or by environmental in¯uences. For example a monsoon trough provides a region of reduced deformation radius, which substantially improves the ef®ciency of mesoscale vortex interactions and the amplitude of the merged vortices. -
Indian Monsoon Basic Drivers and Variability
Indian Monsoon Basic Drivers and Variability GOTHAM International Summer School PIK, Potsdam, Germany, 18-22 Sep 2017 R. Krishnan Indian Institute of Tropical Meteorology, Pune, India The Indian (South Asian) Monsoon Tibetan Plateau India Indian Ocean Monsoon circulation and rainfall: A convectively coupled phenomenon Requires a thermal contrast between land & ocean to set up the monsoon circulation Once established, a positive feedback between circulation and latent heat release maintains the monsoon The year to year variations in the seasonal (June – September) summer monsoon rains over India are influenced internal dynamics and external drivers Long-term climatology of total rainfall over India during (1 Jun - 30 Sep) summer monsoon season (http://www.tropmet.res.in) Interannual variability of the Indian Summer Monsoon Rainfall Primary synoptic & smaller scale circulation features that affect cloudiness & precipitation. Locations of June to September rainfall exceeding 100 cm over the land west of 100oE associated with the southwest monsoon are indicated (Source: Rao, 1981). Multi-scale interactions Low frequency Synoptic Systems:Lows, sub-seasonal Depressions, MTC variability – Large scale Active and monsoon Break monsoon Organized convection, Embedded mesoscale systems , heavy rainfall (intensity > 10 cm/day) Winds at 925hPa DJF West African Monsoon Asian Monsoon Austral Monsoon JJA Courtesy: J.M. Slingo, Univ of Reading Land/Sea Temperature contrasts Nov./Dec. West African Monsoon Asian Monsoon Austral Monsoon May/June Courtesy: -
Analysis of Summer Monsoon Fluctuations Over India
February 1976 M. Murakami 15 Analysis of Summer Monsoon Fluctuations over India By Masato Murakami Meteorological Research Institute, Tokyo (Manuscript received 26 August 1975, in revised form 17 November 1975) Abstract Temporal fluctuations appearing in the summer monsoon over India are investigated by using the data of 1962. By the method of spectrum analysis, it is revealed that two major periodicities exist, at least, in the temporal fluctuation of the monsoon. One is the oscillation around 5 days period and the other is around 15 days pericd. The oscillation around 5 days period appears mainly in the range from the north Bay of Bengal through the monsoon trough region in northern India. The structure of the disturbance which causes this periodicity is examined by the method of cross spec- trum analysis. The results show that the disturbance is a westward-moving one and its longitudinal wavelength is about 30*. This disturbance seems to represent the so-called monsoon low. The vertical structure of these monsoon lows indicates that their cyclonic circulation is prevailing in the lower troposphere and the axis of the trough slightly tilts westward. Moreover, the monsoon low is accompanied with a distinct warm core in the upper troposphere. In the lower levels, the amplitude of the temperature is small and the disturbance is neither warm- nor cold cored. It is also shown that the monsoon low has a steering level at the height around 500 mb level. The oscillation around 15 days period is revealed to be in connection with the active/weak cycle of monsoon. The intense wind fluctuations associated with this cycle appear both in the upper and the lower troposphere, being in phase with each other. -
Mariner's Guide for Hurricane Awareness
Mariner’s Guide For Hurricane Awareness In The North Atlantic Basin Eric J. Holweg [email protected] Meteorologist Tropical Analysis and Forecast Branch Tropical Prediction Center National Weather Service National Oceanic and Atmospheric Administration August 2000 Internet Sites with Weather and Communications Information Of Interest To The Mariner NOAA home page: http://www.noaa.gov NWS home page: http://www.nws.noaa.gov NWS marine dissemination page: http://www.nws.noaa.gov/om/marine/home.htm NWS marine text products: http://www.nws.noaa.gov/om/marine/forecast.htm NWS radio facsmile/marine charts: http://weather.noaa.gov/fax/marine.shtml NWS publications: http://www.nws.noaa.gov/om/nwspub.htm NOAA Data Buoy Center: http://www.ndbc.noaa.gov NOAA Weather Radio: http://www.nws.noaa.gov/nwr National Ocean Service (NOS): http://co-ops.nos.noaa.gov/ NOS Tide data: http://tidesonline.nos.noaa.gov/ USCG Navigation Center: http://www.navcen.uscg.mil Tropical Prediction Center: http://www.nhc.noaa.gov/ High Seas Forecasts and Charts: http://www.nhc.noaa.gov/forecast.html Marine Prediction Center: http://www.mpc.ncep.noaa.gov SST & Gulfstream: http://www4.nlmoc.navy.mil/data/oceans/gulfstream.html Hurricane Preparedness & Tracks: http://www.fema.gov/fema/trop.htm Time Zone Conversions: http://tycho.usno.navy.mil/zones.html Table of Contents Introduction and Purpose ................................................................................................................... 1 Disclaimer ........................................................................................................................................... -
A 65-Yr Climatology of Unusual Tracks of Tropical Cyclones in the Vicinity of China’S Coastal Waters During 1949–2013
JANUARY 2018 Z H A N G E T A L . 155 A 65-yr Climatology of Unusual Tracks of Tropical Cyclones in the Vicinity of China’s Coastal Waters during 1949–2013 a XUERONG ZHANG Key Laboratory of Meteorological Disaster, Ministry of Education, and International Joint Laboratory on Climate and Environment Change, and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, and Pacific Typhoon Research Center, Nanjing University of Information Science and Technology, Nanjing, and State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland YING LI AND DA-LIN ZHANG State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland LIANSHOU CHEN State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China (Manuscript received 8 December 2016, in final form 16 October 2017) ABSTRACT Despite steady improvements in tropical cyclone (TC) track forecasts, it still remains challenging to predict unusual TC tracks (UNTKs), such as the tracks of sharp turning or looping TCs, especially after they move close to coastal waters. In this study 1059 UNTK events associated with 564 TCs are identified from a total of 1320 TCs, occurring in the vicinity of China’s coastal waters, during the 65-yr period of 1949–2013, using the best-track data archived at the China Meteorological Administration’s Shanghai Typhoon Institute. These UNTK events are then categorized into seven types of tracks—sharp westward turning (169), sharp eastward turning (86), sharp northward turning (223), sharp southward turning (46), looping (153), rotating (199), and zigzagging (183)—on the basis of an improved UNTK classification scheme. -
Tropical Cyclone: Climatology
ESCI 344 – Tropical Meteorology Lesson 5 – Tropical Cyclones: Climatology References: A Global View of Tropical Cyclones, Elsberry (ed.) The Hurricane, Pielke Tropical Cyclones: Their evolution, structure, and effects, Anthes Forecasters’ Guide to Tropical Meteorology, Atkinsson Forecasters Guide to Tropical Meteorology (updated), Ramage Global Guide to Tropical Cyclone Forecasting, Holland (ed.) Reading: Introduction to the Meteorology and Climate of the Tropics, Chapter 9 A Global View of Tropical Cyclones, Chapter 3 REQUIREMENTS FOR FORMATION In order for a tropical cyclone to form, the following general conditions must be present: Deep, warm ocean mixed layer. ◼ Sea-surface temperature at least 26.5C. ◼ Mixed layer depth of 45 meters or more. Relative maxima in absolute vorticity in the lower troposphere ◼ Need a preexisting cyclonic disturbance. ◼ Must be more than a few degrees of latitude from the Equator. Small values of vertical wind shear. ◼ Disturbance must be in deep easterly flow, or in a region of light upper- level winds. Mean upward vertical motion with humid mid-levels. GLOBAL CLIMATOLOGY Note: Most of the statistics given in this section are from Gray, W.M., 1985: Tropical Cyclone Global Climatology, WMO Technical Document WMO/TD-72, Vol. I, 1985. About 80 tropical cyclones per year world-wide reach tropical storm strength ( 34 kts). About 50 – 55 each year world-wide reach hurricane/typhoon strength ( 64 kts). The rate of occurrence globally is very steady. Global average annual variation is small (about 7%). Extreme variations are in the range of 16 to 22%. Variability within a particular region is much larger than global variability. Most (87%) form within 20 of the Equator. -
Measuring East Asian Summer Monsoon Rainfall Contributions by Different Weather Systems Over Taiwan
2068 JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY VOLUME 47 NOTES AND CORRESPONDENCE Measuring East Asian Summer Monsoon Rainfall Contributions by Different Weather Systems over Taiwan SHIH-YU WANG AND TSING-CHANG CHEN* Atmospheric Science Program, Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa (Manuscript received 2 July 2007, in final form 24 October 2007) ABSTRACT The east Asian summer monsoon (EASM) is characterized by a distinct life cycle consisting of the active, break, and revival monsoon phases. Different weather systems prevail in each phase following the change of large-scale flow regime. During the active phase, midlatitude cold, dry air moving equatorward into the tropics develops eastward-propagating fronts and rainstorms. The western ridge of the North Pacific sub- tropical anticyclone, which leads to the break phase, suppresses the development of synoptic-scale weather systems but enhances the diurnal heating. In the revival phase, the monsoon trough displaces the anticy- clonic ridge northward and increases typhoon activity. This study examines quantitative measurements of climatological rainfall contributed by these weather systems that will help to validate simulations of the EASM climate system and facilitate water management by government agencies. To accomplish this goal, rain gauge measurements in Taiwan were analyzed. It was found that in the active phase (late spring–early summer), mei-yu rainstorms forming over northern Indochina and the South China Sea contribute one-half of the total rainfall, and cold-frontal passages account for about 15%. During the synoptically inactive break spell (midsummer), rainfall is produced mainly by diurnal convection (51%) along the western mountain slopes of the island. -
Tropical Cyclones in 1991
ROYAL OBSERVATORY HONG KONG TROPICAL CYCLONES IN 1991 CROWN COPYRIGHT RESERVED Published March 1993 Prepared by Royal Observatory 134A Nathan Road Kowloon Hong Kong Permission to reproduce any part of this publication should be obtained through the Royal Observatory This publication is prepared and disseminated in the interest of promoting the exchange of information. The Government of Hong Kong (including its servants and agents) makes no warranty, statement or representation, expressed or implied, with respect to the accuracy, completeness, or usefulness of the information contained herein, and in so far as permitted by law, shall not have any legal liability or responsibility (including liability for negligence) for any loss, damage or injury (including death) which may result whether directly or indirectly, from the supply or use of such information. This publication is available from: Government Publications Centre General Post Office Building Ground Floor Connaught Place Hong Kong 551.515.2:551.506.1 (512.317) 3 CONTENTS Page FRONTISPIECE: Tracks of tropical cyclones in the western North Pacific and the South China Sea in 1991 FIGURES 4 TABLES 5 HONG KONG'S TROPICAL CYCLONE WARNING SIGNALS 6 1. INTRODUCTION 7 2. TROPICAL CYCLONE OVERVIEW FOR 1991 11 3. REPORTS ON TROPICAL CYCLONES AFFECTING HONG KONG IN 1991 19 (a) Typhoon Zeke (9106): 9-14 July 20 (b) Typhoon Amy (9107): 16-19 July 24 (c) Severe Tropical Storm Brendan (9108): 20-24 July 28 (d) Typhoon Fred (9111): 13-l8 August 34 (e) Severe Tropical Storm Joel (9116): 3-7 September 40 (f) Typhoon Nat (9120): 16 September-2 October 44 4. -
Contribution of Tropical Cyclones to Rainfall in the Philippines
15 MAY 2017 B A G T A S A 3621 Contribution of Tropical Cyclones to Rainfall in the Philippines GERRY BAGTASA Institute of Environmental Science and Meteorology, University of the Philippines, Quezon City, Philippines (Manuscript received 18 February 2016, in final form 10 January 2017) ABSTRACT Tropical cyclone (TC)-induced rainfall (TC rain) in the Philippines was investigated using a combination of ground and satellite observations to produce a blended 64-yr precipitation dataset. A total of 1673 TCs were examined using best track data from the Japan Meteorological Agency. Rainfall from 100 (;1110 km) of the TC center was considered as TC-induced rainfall. TC rain contribution is highest in the northern Philippines, particularly along the western coast of Luzon (up to 54%), and lowest in the southern islands of Mindanao (6%). The high TC rain contribution is attributed to the enhancement of the Asian southwest monsoon by TCs located to the northeast of the Philippines. An unsupervised clustering method, k-means clustering, was used to divide the archipelago into four climate subtypes according to monthly rainfall variation. Interannual variability of rainfall from climate clusters with high TC rain contribution generally follows the variability of TC rain. On the other hand, the variability of low TC rain clusters is mainly influenced by El Niño–Southern 2 Oscillation (ENSO). All clusters show increasing trends of 16.9%–19.3% decade 1 in TC rain percentage contribution since 2000. This study hypothesizes that this increasing trend is due to changes in the charac- teristics of TC steering mechanisms and thermodynamic properties east of the Philippines in the past one and a half decades. -
Environmental Factors Contributing to Tropical Cyclone Genesis Over the Western North Pacific
FEBRUARY 2013 Y O S H I D A A N D I S H I K A W A 451 Environmental Factors Contributing to Tropical Cyclone Genesis over the Western North Pacific RYUJI YOSHIDA AND HIROHIKO ISHIKAWA Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto, Japan (Manuscript received 28 October 2011, in final form 18 July 2012) ABSTRACT The flow environment associated with tropical cyclone genesis (TCG) over the western North Pacific was assessed via categorization into five flow patterns: monsoon shear line (SL), monsoon confluence region (CR), monsoon gyre (GY), easterly wave (EW), and preexisting tropical cyclone (PTC). Using reanalysis data and an objective algorithm, the authors defined ‘‘contribution scores’’ for the five flow patterns. Each score represents the contribution to TCG from each flow pattern, and scores were calculated for 908 TCG cases from 1979 to 2008 (30 yr). Of the major contribution flow patterns, SL accounted for 42% of TCGs, EW for 18%, CR for 16%, PTC for 11%, and GY for 6%. Seasonal variations in the occurrence frequency of these five patterns were clear, but interannual variations were not as apparent. Tropical cyclones often appear to be generated in conditions with multiple flow patterns. Thus, relationships between multiple flow patterns were investigated by comparing contribution scores. The SL and CR patterns were strongly correlated to each other, which can be explained by the monsoon southwesterly that organizes both patterns. The EW pattern tends to be independent of the other flow patterns. The PTC pattern has a relatively high correlation with CR, but does not have a correlation with SL or EW.