Interactions Between Typhoon Megi (2010) and a Low-Frequency Monsoon Gyre*
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Ensemble Forecast Experiment for Typhoon
Ensemble Forecast Experiment for Typhoon Quantitatively Precipitation in Taiwan Ling-Feng Hsiao1, Delia Yen-Chu Chen1, Ming-Jen Yang1, 2, Chin-Cheng Tsai1, Chieh-Ju Wang1, Lung-Yao Chang1, 3, Hung-Chi Kuo1, 3, Lei Feng1, Cheng-Shang Lee1, 3 1Taiwan Typhoon and Flood Research Institute, NARL, Taipei 2Dept. of Atmospheric Sciences, National Central University, Chung-Li 3Dept. of Atmospheric Sciences, National Taiwan University, Taipei ABSTRACT The continuous torrential rain associated with a typhoon often caused flood, landslide or debris flow, leading to serious damages to Taiwan. Therefore the quantitative precipitation forecast (QPF) during typhoon period is highly needed for disaster preparedness and emergency evacuation operation in Taiwan. Therefore, Taiwan Typhoon and Flood Research Institute (TTFRI) started the typhoon quantitative precipitation forecast ensemble forecast experiment in 2010. The ensemble QPF experiment included 20 members. The ensemble members include various models (ARW-WRF, MM5 and CreSS models) and consider different setups in the model initial perturbations, data assimilation processes and model physics. Results show that the ensemble mean provides valuable information on typhoon track forecast and quantitative precipitation forecasts around Taiwan. For example, the ensemble mean track captured the sharp northward turning when Typhoon Megi (2010) moved westward to the South China Sea. The model rainfall also continued showing that the total rainfall at the northeastern Taiwan would exceed 1,000 mm, before the heavy rainfall occurred. Track forecasts for 21 typhoons in 2011 showed that the ensemble forecast has a comparable skill to those of operational centers and has better performance than a deterministic prediction. With an accurate track forecast for Typhoon Nanmadol, the ability for the model to predict rainfall distribution is significantly improved. -
Probabilistic Evaluation of the Dynamics and Prediction of Supertyphoon Megi (2010)
1562 WEATHER AND FORECASTING VOLUME 28 Probabilistic Evaluation of the Dynamics and Prediction of Supertyphoon Megi (2010) CHUANHAI QIAN Nanjing University of Information Science and Technology, Nanjing, and National Meteorological Center, Beijing, China, and Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania FUQING ZHANG AND BENJAMIN W. GREEN Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania JIN ZHANG National Meteorological Center, Beijing, China XIAQIONG ZHOU NOAA/NCEP, College Park, Maryland (Manuscript received 21 November 2012, in final form 21 July 2013) ABSTRACT Supertyphoon Megi was the most intense tropical cyclone (TC) of 2010. Megi tracked westward through the western North Pacific and crossed the Philippines on 18 October. Two days later, Megi made a sharp turn to the north, an unusual track change that was not forecast by any of the leading operational centers. This failed forecast was a consequence of exceptionally large uncertainty in the numerical guidance—including the operational ensemble of the European Centre for Medium-Range Weather Forecasts (ECMWF)—at various lead times before the northward turn. This study uses The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble dataset to examine the uncertainties in the track forecast of the ECMWF operational ensemble. The results show that Megi’s sharp turn is sensitive to its own movement in the early period, the size and structure of the storm, the strength and extent of the western Pacific subtropical high, and an approaching eastward-moving midlatitude trough. In particular, a larger TC (in addition to having a stronger beta effect) may lead to a stronger erosion of the southwestern extent of the subtropical high, which will subsequently lead to an earlier and sharper northward turn. -
7 the Analysis of Storm Surge in Manila Bay, the Philippines
INTERNATIONAL HYDROGRAPHIC REVIEW MAY 2019 THE ANALYSIS OF STORM SURGE IN MANILA BAY, THE PHILIPPINES By Commander C. S. Luma-ang Hydrography Branch, National Mapping and Resource Information Authority, (Philippines) Abstract In 2013, Typhoon Haiyan produced a storm surge over seven metres in San Pedro Bay in the Philippines that killed approximately 6,300 people. The event created significant public awareness on storm surges and exposed the lack of records and historical research in the Philippines. This study investigated the tidal height records during intense cyclone activities in 2016 and 2017 to provide accurate information about storm surge development in the largest and most populated coastal area in the country – Manila Bay. The results of this investigation indicated that there are consistencies in the characteristics of tropical cyclones that produce larger storm surges. The results also show that actual storm surge heights are generally smaller than predicted height values. Résumé En 2013, le typhon Haiyan a provoqué une onde de tempête de plus de sept mètres dans la Baie de San Pedro aux Philippines, faisant près de 6 300 victimes. Cet événement a provoqué une importante sensibilisation du public envers les ondes de tempête et a mis en évidence le manque d’archives et de recherches historiques aux Philippines. La présente étude a examiné les enregistrements des hauteurs des marées au cours d’activités cycloniques intenses en 2016 et 2017 afin de fournir des informations précises sur le développement d’ondes de tempête dans la zone côtière la plus étendue et la plus peuplée du pays, la Baie de Manille. -
Assimilating AMSU-A Radiance Data with the WRF Hybrid En3dvar System for Track Predictions of Typhoon Megi (2010)
ADVANCES IN ATMOSPHERIC SCIENCES, VOL. 32, SEPTEMBER 2015, 1231–1243 Assimilating AMSU-A Radiance Data with the WRF Hybrid En3DVAR System for Track Predictions of Typhoon Megi (2010) SHEN Feifei∗ and MIN Jinzhong Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044 (Received 28 October 2014; revised 12 December 2014; accepted 29 December 2014) ABSTRACT The impact of assimilating radiances from the Advanced Microwave Sounding Unit-A (AMSU-A) on the track prediction of Typhoon Megi (2010) was studied using the Weather Research and Forecasting (WRF) model and a hybrid ensemble three- dimensional variational (En3DVAR) data assimilation (DA) system. The influences of tuning the length scale and variance scale factors related to the static background error covariance (BEC) on the track forecast of the typhoon were studied. The results show that, in typhoon radiance data assimilation, a moderate length scale factor improves the prediction of the typhoon track. The assimilation of AMSU-A radiances using 3DVAR had a slight positive impact on track forecasts, even when the static BEC was carefully tuned to optimize its performance. When the hybrid DA was employed, the track forecast was significantly improved, especially for the sharp northward turn after crossing the Philippines, with the flow-dependent ensemble covariance. The flow-dependent BEC can be estimated by the hybrid DA and was capable of adjusting the position of the typhoon systematically. The impacts of the typhoon-specific BEC derived from ensemble forecasts were revealed by comparing the analysis increments and forecasts generated by the hybrid DA and 3DVAR. -
Dynamic Response of a Philippine Dipterocarp Forest to Typhoon Disturbance
Journal of Vegetation Science 27 (2016) 133–143 Dynamic response of a Philippine dipterocarp forest to typhoon disturbance Sandra L. Yap, Stuart J. Davies & Richard Condit Keywords Abstract Biomass; Dipterocarp forest; Forest dynamics; Forest resilience; Mortality and recruitment; Questions: Natural hazards can wreak catastrophic damage to forest ecosys- Regeneration; Tree demography; Typhoon tems. Here, the effects of typhoon disturbance on forest structure and demogra- disturbance phy of the 16-ha Palanan Forest Dynamics Plot in the northeast Philippines were examined by comparing census intervals with (1998–2004) and without Nomenclature (2004–2010) a strong typhoon. Category 4 Typhoon Imbudo, with wind gusts Co et al. (2006) exceeding 210 kph, hit Palanan in July 2003. In this study, we ask: (1) was there Received 5 August 2014 an effect of the typhoon on stand structure and biomass; (2) was there an impact Accepted 5 February 2015 on species diversity; (3) did annual mortality, growth and recruitment change Co-ordinating Editor: Kerry Woods significantly between typhoon and non-typhoon periods; and (4) did the typhoon’s impact vary with local topography, from leeward to windward sides Yap, S.L. ([email protected])1, of a ridge? Davies, S.J. (corresponding author, Location: Lowland mixed dipterocarp forest, Palanan, Isabela, Philippines. [email protected])2, Condit, R. ([email protected])3 Methods: Census data from 1998, 2004 and 2010 for all trees ≥1 cm DBH in a 1Institute of Biology, University of the 16-ha permanent plot in Palanan, Isabela, were used to assess tree demography. Philippines, Diliman, Quezon City, PH 1101, Recorded in the census were species identification and measurements of DBH Philippines; and tree locations. -
Influence of the Size of Supertyphoon Megi (2010) on SST Cooling
VOLUME 146 MONTHLY WEATHER REVIEW MARCH 2018 Influence of the Size of Supertyphoon Megi (2010) on SST Cooling IAM-FEI PUN Graduate Institute of Hydrological and Oceanic Sciences, National Central University, Taoyuan, Taiwan I.-I. LIN,CHUN-CHI LIEN, AND CHUN-CHIEH WU Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan (Manuscript received 28 February 2017, in final form 13 December 2017) ABSTRACT Supertyphoon Megi (2010) left behind two very contrasting SST cold-wake cooling patterns between the Philippine Sea (1.58C) and the South China Sea (78C). Based on various radii of radial winds, the authors found that the size of Megi doubles over the South China Sea when it curves northward. On average, the radius of maximum wind (RMW) increased from 18.8 km over the Philippine Sea to 43.1 km over the South 2 China Sea; the radius of 64-kt (33 m s 1) typhoon-force wind (R64) increased from 52.6 to 119.7 km; the radius 2 of 50-kt (25.7 m s 1) damaging-force wind (R50) increased from 91.8 to 210 km; and the radius of 34-kt 2 (17.5 m s 1) gale-force wind (R34) increased from 162.3 to 358.5 km. To investigate the typhoon size effect, the authors conduct a series of numerical experiments on Megi-induced SST cooling by keeping other factors unchanged, that is, typhoon translation speed and ocean subsurface thermal structure. The results show that if it were not for Megi’s size increase over the South China Sea, the during-Megi SST cooling magnitude would have been 52% less (reduced from 48 to 1.98C), the right bias in cooling would have been 60% (or 30 km) less, and the width of the cooling would have been 61% (or 52 km) less, suggesting that typhoon size is as important as other well- known factors on SST cooling. -
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. -
Philippines: Typhoon Megi
Information bulletin n° 2 Philippines: GLIDE TC-2010-000205-PHL Typhoon Megi 19 October 2010 This bulletin is being issued for information only, and reflects the current situation and details available at this time. The International Federation of Red Cross and Red Crescent Societies (IFRC) and Philippine Red Cross (PRC) have determined that external assistance is currently not required. Therefore, funding or other assistance from donors is not being sought at this time. Typhoon Megi smashed into the Philippines with powerful force. Winds toppled electrical posts – causing power outages – and uprooted trees. Fallen electrical posts meant a dark night for residents of Kalinga. Photo: Hajime Matsunaga/IFRC Typhoon Megi (local name Juan) battered the Philippines on Monday, 18 October 2010, with winds of more than 220km/h and heavy rains. According to Philippine weather authorities, the super storm made landfall near Divilacan Island on the eastern coast of Isabela Province. Its powerful winds toppled electrical posts – causing power outages – uprooted trees, and blew roofs away. Preliminary data indicates seven confirmed deaths and 12 injuries. In total, there are some 2,300 families affected in 11 provinces, and at least 35 houses damaged in three provinces. More than 1,700 families are currently in over 50 evacuation centres established across the affected provinces. Philippine Red Cross (PRC) emergency response units and specialized volunteers have begun responding to needs, delivering food and non-food items to families in evacuation centres. The teams that were on standby in affected provinces are on the ground conducting assessments. The IFRC country office has also deployed delegates to augment assessment efforts. -
FDA) Super Typhoon Mangkhut (Philippines: Ompong
Center for Disaster Management and Risk Reduction Technology CEDIM Forensic Disaster Analysis Group (FDA) Super Typhoon Mangkhut (Philippines: Ompong) Information as of 26 September 2018 – Report No. 1 Authors: Bernhard Mühr, James Daniell, Johanna Stötzer, Christian Latt, Maren Glattfelder, Fabian Siegmann, Susanna Mohr, Michael Kunz SUMMARY Landfall Official Disaster Name Date Local Duration UTC Super Typhoon 26W Mangkhut (Ompong) – PH 14-09 18 UTC +8 Typhoon 26W Mangkhut – CN 16-09 09 UTC +8 Tropical Depression, Tropical Storm, 07-09 – 17-09 10 days Typhoon Cat 1 – Cat 5, Tropical Depression PREFERRED HAZARD INFORMATION: Min Sea Move Definition (Saffir- Wind Wind Location Level Time ment Simpson Scale) Gusts Sustained Pressure 100 km N of Rongelap 07-09 20 kt NW Tropical Dperession 1006 hPa Atoll, Marshall Is. 00 UTC 37 kph 07-09 35 kt 120 km N of Bikini Atoll W Tropical Storm 998 hPa 18 UTC 65 kph 09-09 65 kt 1100 km E of Guam W Category 1 975 hPa 00 UTC 120 kph 10-09 90 kt 30 km NE of Rota Island WSW Category 2 955 hPa 06 UTC 165 kph 10-09 100 kt 90 km W of Guam WSW Category 3 950 hPa 12 UTC 185 kph 11-09 120 kt 2050 km E of Luzon N Category 4 935 hPa 00 UTC 222 kph Super Typhoon 11-09 140 kt 1780 km E of Luzon WNW 905 hPa Category 5 12 UTC 260 kph LOCATION INFORMATION: Most Economic Pop. Country ISO Provinces/Regions HDI (2014) Urbanity Impact Exposure affected Guam / Northern USA US Rota Island Marianas Cagayan, Ilocos Philippines PH Norte Hongkong, Guangdong, China CN Macao, Guangxi Jiangmen CEDIM – Typhoon Mangkhut – Report No.1 2 1 Overview In mid-September, the world's strongest tropical system of 2018 so far, hit the northern main island of the Philippines, Luzon, and southern China. -
Philippines Typhoon Megi
THIS REPORT CONTAINS ASSESSMENTS OF COMMODITY AND TRADE ISSUES MADE BY USDA STAFF AND NOT NECESSARILY STATEMENTS OF OFFICIAL U.S. GOVERNMENT POLICY Voluntary - Public Date: GAIN Report Number: Philippines Post: Manila Typhoon Megi Report Categories: Agricultural Situation Approved By: David Wolf Prepared By: Perfecto Corpuz Report Highlights: According to the Philippine Department of Agriculture (DA), agricultural losses as a result of Typhoon Megi (local name: Juan) which recently passed through the country reached P4.8 billion ($108.4 million). Major losses were noted in rice (P3.8 billion or $85.9 million), high value commercial crops or HVCC (P598.4 million or $13.6 million) and corn (P312.3 million or $7.1 million). Damages to fisheries and livestock were recorded at P47 ($1.1 million) and P29.6 million ($0.7 million), respectively. For rice, despite the losses, the DA reportedly does not see the need for additional imports for the remainder of 2010. General Information: The Philippine Department of Agriculture Central Action Center (DA-CAC), in its October 20, 2010 Situationer Report No. 173, estimates agricultural losses as a result of Typhoon Megi (local name: Juan) at P4.77 billion ($108.4 million). Typhoon Megi entered Philippine territory October 17, 2010 and affected a total of 234,980 hectares covering four regions in the main island of Luzon. These include the Cordillera Autonomous Region (CAR), the Ilocos Region (Region I), Cagayan Valley (Region II), and the Central Luzon region (Region III). Typhoon Megi affected 16 provinces. Losses were most pronounced in Pangasinan Province (P1.4 billion or $31.8 million) followed by Isabela (898 million or $20.4 million) and Nueva Ecija (P588 million or $13.4 million), according to the report. -
Formation of Winter Supertyphoons Haiyan (2013) and Hagupit (2014)
3800 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 55, NO. 7, JULY 2017 Formation of Winter Supertyphoons Haiyan (2013) and Hagupit (2014) Through Interactions With Cold Fronts as Observed by Multifunctional Transport Satellite Yung-Sheng Lee, Member, IEEE, Yuei-An Liou, Senior Member, IEEE, Ji-Chyun Liu, Ching-Tsan Chiang, and Kuan-Dih Yeh Abstract— This paper incorporates remote sensing imagery prevention [1], [2]. The satellite data that provide cloud images and image processing techniques to analyze typhoons’ evolution may be used to analyze the cloud structure and dynamics of into supertyphoons through interactions with cold fronts in the typhoons [3]–[8]. When two tropical cyclones (TCs) are close Western Pacific Ocean. The purpose is to enhance understanding and predictability of the tracks and profiles of supertyphoons. to some extent, they affect and interact with each other. Such Evolutions of typhoons Haiyan (2013) and Hagupit (2014) into cyclone–cyclone interaction is known as “Fujiwhara effect” supertyphoons were studied. The 3-D profiles of weather systems in honor of pioneer Fujiwhara [9]. Several types of cyclone– were reconstructed using multifunctional transport satellite IR cyclone interactions were studied [10]–[12]. The distance cloud images. When interactions between typhoon and cold front between two typhoons, and intensity and translation speeds of happened, enhancements of typhoons were observed causing typhoons Haiyan and Hagupit to strengthen power and evolve the binary typhoons were investigated recently. The impacts into supertyphoons. The origins of typhoons Haiyan and Hagupit of binary typhoons on the upper ocean environments that were are closely located at 152°50E/05°12N and 151°30E/04°19N, explored included physical and biological environments [12]. -
Big Data in Geoinformatics
GIS Karimi Techniques and Technologies Big Data in Geoinformatics Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial Big Data databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Techniques and Technologies Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data. in Geoinformatics Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo- BIG DATA crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information. Features Edited by • Explains the challenges and issues of big data in geoinformatics applications • Discusses and analyzes the techniques, technologies, and tools for storing, Hassan A. Karimi managing, and computing geospatial big data • Familiarizes the readers with the advanced techniques and technologies used for geospatial big data research • Provides insight into new opportunities offered by geospatial big data With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications.