The Effects of a Typhoon-Induced Oceanic Cold Wake on Typhoon Intensity and Typhoon-Induced Ocean Waves
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
The Wind Features Associated with the Multiple Eyewall in Typhoon Bolaven
The Wind Features associated with the Multiple Eyewall in Typhoon Bolaven Seiji ORIGUCHI, Kazuo SAITO, Hiromu SEKO, Wataru Mashiko and Masaru KUNII Meteorological Research Institute, Tsukuba, Ibaraki, 305-0052, JAPAN E-mail: [email protected] 1. Introduction Typhoon ‘Bolaven’ passed the Okinawa Main Island at about 1200 UTC 26 August 2012, while moving northwestward. The surface observation data at Nago of Okinawa show that the rainfall intensity and surface wind speed in the typhoon’s central regions were smaller and weaker than those of the JMA’s operational forecast. Okinawa Meteorological Observatory held an unprecedented press conference before the approach of typhoon ‘Bolaven’ to take the greatest precautions for the local governments and inhabitants. However, severe damages did not actually occur. The radar images of Japan Meteorological Agency (JMA) show that the multiple eyewall structures of ‘Bolaven’ were clearly maintained for more than at least 24 hours without eyewall replacements. It is deduced that the structures of multiple eyewall affected the wind velocity and precipitation in the typhoon’s central region. In this study, the multiple eyewall structures and wind features were reproduced by the cloud-resolving ensemble simulation to investigate the relation between them. 2. Experimental settings and Multi-Eye Index A cloud resolving ensemble simulation with a horizontal resolution of 1 km, horizontal grids of 800×800, 60 vertical layers and 11 members was performed up to the forecast time (FT) of 24 hours from the initial time at 1800 UTC 25 August using the JMA nonhydrostatic model. The initial and boundary conditions for the cloud resolving ensemble simulation were taken from a mesoscale ensemble simulation with a horizontal resolution of 5 km. -
Basic Data Construction for a Typhoon Disaster Prevention Model : Monthly Characteristics of Typhoon Rusa, Maemi, Kompasu, and Bolaven
AAS02-P10 Japan Geoscience Union Meeting 2019 Basic Data Construction for a Typhoon Disaster Prevention Model : Monthly Characteristics of Typhoon Rusa, Maemi, Kompasu, and Bolaven *HANA NA1, Woo-Sik Jung1 1. Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University, Gimhae 50834, Korea According to a typhoon report that summarized the typhoons that had affected the Korean Peninsula for approximately 100 years since the start of weather observation in the Korean Peninsula, the number of typhoons that affected the Korean Peninsula was the highest in August, followed by July, and September. A study that analyzed the period between 1953 and 2003 revealed that the number of typhoons that affected the Korean Peninsula was 62 in August, 49 in July, and 45 in September. As shown, previous studies that analyzed the typhoons that affected the Korean Peninsula by month were primarily focused on the impact frequency. This study aims to estimate the monthly impact frequency of the typhoons that affected the Korean Peninsula as well as the maximum wind speed that accompanied the typhoons. It also aims to construct the basic data of a typhoon disaster prevention model by estimating the maximum wind speed during typhoon period using Typhoon Rusa that resulted in the highest property damage, Typhoon Maemi that recorded the maximum wind speed, Typhoon Kompasu that significantly affected the Seoul metropolitan area, and Typhoon Bolaven that recently recorded severe damages. A typhoon disaster prevention model was used to estimate the maximum wind speed of the 3-second gust that may occur, and the 700 hPa wind speed estimated through WRF(Weather Research and Forecasting) numerical simulation was used as input data. -
(OSCAT) and ASCAT Scatterometers Over Tropical Cyclones Goal of Study
P1.37P197 Comparisons and Evaluations between the Oceansat-2 (OSCAT) and ASCAT Scatterometers over Tropical Cyclones Roger T. Edson, NOAA National Weather Service, Barrigada Guam Coverage and Availability of Scatterometer: OSCAT vs. ASCAT and WindSAT Case Studies of Different Tropical Cyclone Characteristics or OSCAT (~2400L) Goal of Study NOAA/NESDIS –’Manati Site’ KNMI – EUMETSAT site Typhoon Man-Yi (16W) development from a ASCAT depiction of the development and OSCAT View monsoon gyre north or the Marianas -Compare reliability, depiction and BYU Hi-Res OSCAT intensification of Typhoon Mawar (04W) accuracy over tropical cyclones -Find strengths and weaknesses -Assess comparative loss with QuikSCAT -Evaluate NRCS and BYU Hi-Res IR and OSCAT Winds TRMM 85h with OSCAT NRCS OSCAT Development was slow with a large light and variable wind center. At this products to assist analysis time winds were beginning to consolidate about one circulation center as Combine ASCAT A/B with either OSCAT better seen in the OSCAT NRCS and BYU Hi-Res images. or WindSAT to increase coverage -Use of integrated techniques, Sensor Characteristics especially with microwave Sensor/Sat QuikSCAT ASCAT A/B WindSAT OSCAT-2 48hr Structure and intensity between 31 May (25kt) and 2 Jun (70kt) TYPE Active Active Passive Active imagery AGENCY/re-Processed JPL/NESDIS ESA/KNMI US Navy India/KNMI LAUNCH/END 1999/Nov09(end) 2006/12 2003 2009 Typhoon Tembin (15W) approaching Japan SWATH (KM) 1800 2 X 550 ~1100 1836 The intensity of a tropical cyclone that has begun GAP (KM) 0 600 N/A N/A extra-tropical transition is often underestimated RESOLUTION (KM) 25 (12.5) 50 (25) 25 50 (25) Goal of Scatterometer Data for TC Analysis when intensity is solely based on the Dvorak SPEED (KT) 4-80 5-60 10-40 5-60? Technique. -
Research Article Application of Buoy Observations in Determining Characteristics of Several Typhoons Passing the East China Sea in August 2012
Hindawi Publishing Corporation Advances in Meteorology Volume 2013, Article ID 357497, 6 pages http://dx.doi.org/10.1155/2013/357497 Research Article Application of Buoy Observations in Determining Characteristics of Several Typhoons Passing the East China Sea in August 2012 Ningli Huang,1 Zheqing Fang,2 and Fei Liu1 1 Shanghai Marine Meteorological Center, Shanghai, China 2 Department of Atmospheric Science, Nanjing University, Nanjing, China Correspondence should be addressed to Zheqing Fang; [email protected] Received 27 February 2013; Revised 5 May 2013; Accepted 21 May 2013 Academic Editor: Lian Xie Copyright © 2013 Ningli Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The buoy observation network in the East China Sea is used to assist the determination of the characteristics of tropical cyclone structure in August 2012. When super typhoon “Haikui” made landfall in northern Zhejiang province, it passed over three buoys, the East China Sea Buoy, the Sea Reef Buoy, and the Channel Buoy, which were located within the radii of the 13.9 m/s winds, 24.5 m/s winds, and 24.5 m/s winds, respectively. These buoy observations verified the accuracy of typhoon intensity determined by China Meteorological Administration (CMA). The East China Sea Buoy had closely observed typhoons “Bolaven” and “Tembin,” which provided real-time guidance for forecasters to better understand the typhoon structure and were also used to quantify the air-sea interface heat exchange during the passage of the storm. -
Prediction of Typhoon-Induced Flood Flows at Ungauged Catchments Using Simple Regression and Generalized Estimating Equation Approaches
water Article Prediction of Typhoon-Induced Flood Flows at Ungauged Catchments Using Simple Regression and Generalized Estimating Equation Approaches Hyosang Lee 1, Neil McIntyre 2 ID , Joungyoun Kim 3 ID , Sunggu Kim 1 and Hojin Lee 1,* 1 School of Civil Engineering, Chungbuk National University, Cheongju 28644, Korea; [email protected] (H.L.); [email protected] (S.K.) 2 Centre for Water in the Minerals Industry, University of Queensland, Brisbane 4072, Australia; [email protected] 3 Department of Information & Statistics, Chungbuk National University, Cheongju 28644, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-43-261-2379 Received: 29 March 2018; Accepted: 14 May 2018; Published: 16 May 2018 Abstract: Typhoons are the main type of natural disaster in Korea, and accurately predicting typhoon-induced flood flows at gauged and ungauged locations remains an important challenge. Flood flows caused by six typhoons since 2002 (typhoons Rusa, Maemi, Nari, Dienmu, Kompasu and Bolaven) are modeled at the outlets of 24 Geum River catchments using the Probability Distributed Moisture model. The Monte Carlo Analysis Toolbox is applied with the Nash Sutcliffe Efficiency as the criterion for model parameter estimation. Linear regression relationships between the parameters of the Probability Distributed Moisture model and catchment characteristics are developed for the purpose of generalizing the parameter estimates to ungauged locations. These generalized parameter estimates are tested in terms of ability to predict the flood hydrographs over the 24 catchments using a leave-one-out validation approach. We then test the hypothesis that a more complex generalization approach, the Generalized Estimating Equation, which includes properties of the typhoons as well as catchment characteristics as predictors of PDM model parameters, will provide more accurate predictions. -
Abstract Proceeding
1 The Proceedings for The 6th International Conference on Atmosphere, Ocean, and Climate Change August 19 - 21, 2013, Hong Kong Editors: Dr. Banghua Yan Dr. Xiaozhen Xiong Prof. Zhanqing Li Dr. Jingfeng Huang 2 EFFECTS OF AIR-SEA COUPLING ON THE BOREAL SUMMER INTRASEASONAL OSCILLATIONS OVER THE TROPICAL INDIAN OCEAN Ailan Lin1,2, Tim Li, Xiouhua Fu2, Jing-Jia Luo3, Yukio Masumoto3 1 Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou, China 2. IPRC and Department of Meteorology, University of Hawaii, Honolulu, Hawaii 3. Research Institute for Global Change, JAMSTEC, Yokohama, Japan Abstract The effects of air-sea coupling over the tropical Indian Ocean (TIO) on the eastward- and northward-propagating boreal summer intraseasonal oscillation (BSISO) are investigated by comparing a fully coupled (CTL) and a partially decoupled Indian Ocean (pdIO) experiment using SINTEX-F coupled GCM. Air-sea coupling over the TIO significantly enhances the intensity of both the eastward and northward propagations of the BSISO. The maximum spectrum differences of the northward- (eastward-) propagating BSISO between the CTL and pdIO reach 30% (25%) of their respective climatological values. The enhanced eastward (northward) propagation is related to the zonal (meridional) asymmetry of sea surface temperature anomaly (SSTA). A positive SSTA appears to the east (north) of the BSISO convection, which may positively feed back to the BSISO convection. In addition, air-sea coupling may enhance the northward propagation through the changes of the mean vertical wind shear and low-level specific humidity. The interannual variations of the TIO regulate the air-sea interaction effect. Air-sea coupling enhances (reduces) the eastward-propagating spectrum during the negative Indian Ocean dipole (IOD) mode, positive Indian Ocean basin (IOB) mode and normal years (during positive IOD and negative IOB years). -
Impacts of Binary-Interacted Typhoons Tembin and Bolaven in 2012 on Surges and Waves Over the East China Sea
EGU2020-6345 https://doi.org/10.5194/egusphere-egu2020-6345 EGU General Assembly 2020 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Impacts of Binary-interacted Typhoons Tembin and Bolaven in 2012 on Surges and Waves over the East China Sea Jie Yang1,2, Yong Li3,4, and Meixiang Chen5 1Key Laboratory of Coastal Disaster and Defence (Hohai University), Ministry of Education, Hohai University, Nanjing, China ([email protected]) 2College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing, China ([email protected]) 3Tianjin Centre, China Geological Survey, Tianjin, China ([email protected]) 4Key Laboratory of Coast Geo-environment, China Geological Survey, Tianjin, China ([email protected]) 5College of Oceanography, Hohai University, Nanjing, China ([email protected]) Typhoon-induced storm surges and waves are highly related with typhoon track and associated wind stresses and atmospheric pressures at sea surface. The effects of binary interaction may alter typhoon tracks and even forward speed, which might influence waves and surge heights in the ocean. In the present study, we execute a series of numerical experiments to investigate how isolated and binary typhoons would impact the ocean waves and generated surges offshore and nearshore. The responses of binary typhoons to sea level rise and land subsidence are also discussed. The Typhoon Tembin and Typhoon Bolaven influenced the East China Sea with equivalent intensity of tropical storm and Category 2, respectively, on the Saffir–Simpson hurricane wind scale. The Weather Research and Forecasting (WRF) model is utilized to hindcast the layered wind and atmospheric pressure fields above sea/land surface. -
Downloaded 10/05/21 02:09 PM UTC 1426 WEATHER and FORECASTING VOLUME 29
DECEMBER 2014 W E I 1425 Surface Wind Nowcasting in the Penghu Islands Based on Classified Typhoon Tracks and the Effects of the Central Mountain Range of Taiwan CHIH-CHIANG WEI Department of Digital Content Designs and Management, Toko University, Pu-Tzu City, Chia-Yi County, Taiwan (Manuscript received 5 March 2014, in final form 21 September 2014) ABSTRACT The purposes of this study were to forecast the hourly typhoon wind velocity over the Penghu Islands, and to discuss the effects of the terrain of the Central Mountain Range (CMR) of Taiwan over the Penghu Islands based on typhoon tracks. On average, a destructive typhoon hits the Penghu Islands every 15–20 yr. As a typhoon approaches the Penghu Islands, its track and intensity are influenced by the CMR topography. Therefore, CMR complicates the wind forecast of the Penghu Islands. Six main typhoon tracks (classes I–VI) are classified based on typhoon directions, as follows: (I) the direction of direct westward movement across the CMR of Taiwan, (II) the direction of northward movement along the eastern coast of Taiwan, (III) the direction of northward movement traveling through Taiwan Strait, (IV) the direction of westward movement traveling through Luzon Strait, (V) the direction of westward movement traveling through the southern East China Sea (near northern Taiwan), and (VI) the irregular track direction. The adaptive network-based fuzzy inference system (ANFIS) and multilayer perceptron neural network (MLPNN) were used as the forecasting technique for predicting the wind velocity. A total of 49 typhoons from 2000 to 2012 were analyzed. Results showed that the ANFIS models provided high-reliability predictions for wind velocity, and the ANFIS achieved more favorable performance than did the MLPNN. -
Print Version
UPDATE OF REGIONAL WEATHER AND SMOKE HAZE (January 2018) 1. Review of Regional Weather Conditions for December 2017 1.1 In December 2017, Southeast Asia experienced northeast monsoon conditions with drier weather conditions over the northern ASEAN region, and rainy or wet weather conditions in the southern ASEAN region. Most of the rain during the month fell within the region bounded between 10oS and 10oN of the Equator. The most intense rain that fell during the month was over the central South China Sea and to the east of the Philippines. These areas coincided with the path of the tropical cyclones crossing the central South China Sea, north of Borneo after making landfall in the Philippines. The rainfall distribution for December 2017 is shown in Figure 1. Figure 1: Daily average rainfall for the ASEAN region Figure 2: Percent of Normal Rainfall for December 2017. in December 2017. (Source: JAXA Global Satellite The rainfall data may be less representative for areas with Mapping of Precipitation) a less dense rainfall network. 1.2 In the second half of December 2017, intensification of the high pressure system in northern Asia brought a monsoon surge or a sudden surge of cold winds over the South China Sea. As these strong northeasterly winds blew equatorward over the South China Sea, it gathered moisture and led to the development of persistent rain clouds over large parts of the equatorial region. The surges brought strong winds and spells of moderate to heavy rain to Borneo, Peninsular Malaysia and Singapore. In particular, the eastern coastal states of Peninsular Malaysia and northern coast of Borneo were affected by heavy rainfall and intense floods arising from the monsoon surges. -
Hurricanes and Typhoons in the Global Climate System Pier Luigi Vidale 1, Malcolm Roberts2 Kevin Hodges1, P
Hurricanes and typhoons in the global climate system Pier Luigi Vidale 1, Malcolm Roberts2 Kevin Hodges1, P. Loizou1, Liang Guo1, Armenia Franco-Diaz1, Alex Baker1, Benoit Vanniere1, Rein Haarsma3, Enrico Scoccimarro4, Alessio Bellucci4, Louis-Philippe Caron5 and Jenny Mecking6 (Blue-Action), all PRIMAVERA partners (models and analysis) With many thanks to Suzana Camargo, Tom Knutson and Jim Kosssin 1NCAS-Climate, University of Reading, 2Met Office Hadley Centre, 3Koninklijk Nederlands Meteorologisch Instituut (KNMI), 4Centro Euro-Mediterraneo sui Cambiamenti Climatici S.c.a.r.l (CMCC), 5Barcelona Supercomputing Center (BSC), Barcelona, Spain, 6Southampton Oceanography Centre 7 ECMF 8 ISAC-CNR 9 Oxford University 10 NCAS-CMS Motivation: TCs as rare, albeit significant contributors to climate A B C Contribution of TCs to the extreme rainfall (amount fraction) (%) from July to October, employing TCs tracks from (a) IBTrACS, (b) JRA-55 and (c) ERA-Interim. Climatology for 1998-2015 Franco-Diaz et al. 2019, submitted to Clim Dyn Re-analyses very likely under-estimating the role of TCs in producing precipitation and moisture transports. What is the role of model resolution, model physics, initialisation (Data Assimulation)? Guo et al. 2017 Recent natural catastrophes: comparing 2011 with other years NatCatSERVICE Loss events worldwide 2017 ~300 U$ billion Geographical overview Drought Winter damage, Geophysical events Wildfire Jan – Oct Flood frost (LNU Complex Fires) (Western-, Southern Europe) Jun - Oct (Earthquake, tsunami, 15 Apr - 9 May -
Characteristics and Causes of Extreme Rainfall Induced by Binary Tropical Cyclones Over China
Asia-Pacific Journal of Atmospheric Sciences Online ISSN 1976-7951 https://doi.org/10.1007/s13143-020-00201-6 Print ISSN 1976-7633 ORIGINAL ARTICLE Characteristics and Causes of Extreme Rainfall Induced by Binary Tropical Cyclones over China Mingyang Wang1,2 & Fumin Ren2 & Yanjun Xie3 & Guoping Li1 & Ming-Jen Yang4 & Tian Feng1,2 Received: 8 November 2019 /Revised: 28 March 2020 /Accepted: 29 March 2020 # The Author(s) 2020 Abstract Binary tropical cyclones (BTC) often bring disastrous rainfall to China. From the viewpoint of the extreme of the BTC maximum daily rainfall, the characteristics of BTC extreme rainfall (BTCER) during 1960–2018 are analyzed, using daily rainfall data; and some representative large-scale mean flows, in which the associated BTCs are embedded, are analyzed. Results show that the frequency of BTCER shows a decreasing trend [−0.49 (10 yr)−1] and is mainly distributed within the BTC heavy rainstorm interval (100 mm ≤ BTCER <250 mm). BTCER occurs mostly from July to September with a peak in August. Three BTCER typical regions— Minbei, the Pearl River Delta (PRD), and Taiwan—are identified according to the clustering of stations with high BTCER frequency and large BTCER. A further analysis of the 850-hPa BTC composite horizontal wind and water vapor flux over the PRD region shows the existence of two water vapor transport channels, which transport water vapor to the western tropical cyclone. In the first of these channels, the transport takes place via the southwest monsoon, which accounts for 58% of the total moisture, and an easterly flow associated with eastern tropical cyclone accounts for the remaining 42%. -
Fresenius Environmental Bulletin Founded Jointly by F. Korte and F
FEB – Fresenius Environmental Bulletin founded jointly by F. Korte and F. Coulston Production by PSP – Parlar Scientific Publications, Angerstr. 12, 85354 Freising, Germany in cooperation with Lehrstuhl für Chemisch-Technische Analyse und Lebensmitteltechnologie, Technische Universität München, 85350 Freising - Weihenstephan, Germany Copyright © by PSP – Parlar Scientific Publications, Angerstr. 12, 85354 Freising, Germany. All rights are reserved, especially the right to translate into foreign language. No part of the journal may be reproduced in any form- through photocopying, microfilming or other processes- or converted to a machine language, especially for data processing equipment- without the written permission of the publisher. The rights of reproduction by lecture, radio and television transmission, magnetic sound recording or similar means are also reserved. Printed in GERMANY – ISSN 1018-4619 © by PSP Volume 24 – No 4. 2015 Fresenius Environmental Bulletin FEB - EDITORIAL BOARD Environmental Toxicology: Prof. Dr. H. Greim Chief Editor: Senatskomm. d. DFG z. Prüfung gesundheitsschädl. Arbeitsstoffe TU München, 85350 Freising-Weihenstephan, Germany Prof. Dr. H. Parlar Institut für Lebensmitteltechnologie und Analytische Chemie Prof. Dr. A. Kettrup TU München - 85350 Freising-Weihenstephan, Germany Institut für Lebensmitteltechnologie und Analytische Chemie e-mail: [email protected] TU München - 85350 Freising-Weihenstephan, Germany FEB - ADVISORY BOARD Co-Editors: Environmental Analytical Chemistry: Environmental Analytical Chemistry: K. Ballschmitter, D - K. Bester, D - K. Fischer, D - R. Kallenborn, N Dr. D. Kotzias D.C.G. Muir, CAN - R. Niessner, D - W. Vetter, D – R. Spaccini, I Via Germania 29 21027 Barza (Va) ITALY Environmental Proteomic and Biology: D. Adelung, D - G.I. Kvesitadze, GEOR A. Reichlmayr-Lais, D - C. Steinberg, D Environmental Proteomic and Biology: Environmental Chemistry: Prof.