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Relevant bibliographies by topics / Tropical Cyclones

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Academic literature on the topic 'Tropical Cyclones'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 March 2025

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Journal articles on the topic "Tropical Cyclones"

1

Chaudhuri, Sutapa, and Anindita De Sarkar. "Severity of Tropical Cyclones atypical during El Nino – A Statistical Elucidation." Asian Journal of Water, Environment and Pollution 6, no. 4 (January 2009): 79–85. http://dx.doi.org/10.3233/ajw-2009-6_4_11.

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Tropical cyclones are one of nature's most violent manifestations and potentially the deadliest of all meteorological phenomena. The casualty associated with major cyclones in the Indian sub-continent gives an idea about its enormous destructive capability. The effect of El Nino over Indian Ocean is not fully understood yet. The present study is an attempt to establish a relationship between El Nino and severity of tropical cyclones. The rationale of the present study is to view whether a persistent cyclonic disturbance leads to the development of a tropical cyclone or severe tropical cyclone during an El Nino year. Statistical techniques are adopted to attain the objectives. The results of the study reveal that in the El Nino year cyclonic disturbances may turn to tropical cyclones but turning to its severity is absolutely unusual.

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Surinati, Dewi, and Dwi Ayu Kusuma. "KARAKTERISTIK DAN DAMPAK SIKLON TROPIS YANG TUMBUH DI SEKITAR WILAYAH INDONESIA." OSEANA 43, no. 2 (October 30, 2018): 1–12. http://dx.doi.org/10.14203/oseana.2018.vol.43no.2.16.

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CHARACTERISTICS AND IMPACTS OF TROPICAL CYCLONES GROWING AROUND INDONESIAN TERRITORY. Tropical cyclone is a cyclonic originates from tropical oceans and driven principally by heat transfer from the ocean. Tropical cyclone is an atmospheric phenomenon characterized by the emergence of low air pressure that triggers the occurrence of strong winds due to the process of heat transfer from the equator to the latitude. This phenomenon can not be prevented, so that it has great potential to impact on the damage in the area it through. Tropical cyclones can be characterized through their life cycle, scale of power and how it impacts in the area it through. The Cempaka and Dahlia tropical cyclone occuring in 2017 greatly influenced territory of Indonesia. The effect of the cyclone causes extreme weather in Indonesia, especially in areas close to where cyclones are formed.

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Zy Misa Harivelo, Rakotoarimanana, Rakotoarimanana Zy Harifidy, Pandin Moses Glorino Rumambo, and Waloejo Christrijogo Sumartono. "Analysis of tropical cyclones 2000-2020 in Madagascar." Disaster Advances 15, no. 3 (February 25, 2022): 13–20. http://dx.doi.org/10.25303/1503da1320.

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Madagascar is among the ten countries most exposed to cyclonic disasters in the world due to its geographical position. The country faces serious problems directly related to tropical cyclones every year. This research aims to analyze the cyclones in Madagascar from 2000 to 2020 focusing on the impact of the cyclone based on human losses and costs. The findings showed that during the past 20 years, 39 significant cyclones have affected Madagascar. On an average, 02 cyclones per year hit the country but its frequency has been decreasing since 2014. Cyclone Eline, Gafilo and Ivan were considered the most dangerous and have caused serious damages to the country. The number of victims caused by the cyclone, Eline, in 2000 were numerous while the cyclone Ivan in 2008 led many people to homelessness. In addition, the cyclone Gafilo in 2004 was recorded as the deadliest, costliest and has provoked many injuries including missing people. The number of victims, homeless, injured, missing and the cost of damage increase depending on the intensity of the cyclone. The East, North-East, West and Southwest coasts are most often hit by cyclones. Despite the frequency and damage of cyclones in the country, the actions carried out to reduce or mitigate the impacts of cyclones are still not sustainable, which makes the populations more vulnerable.

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Tang, Brian, and Kerry Emanuel. "A Ventilation Index for Tropical Cyclones." Bulletin of the American Meteorological Society 93, no. 12 (December 1, 2012): 1901–12. http://dx.doi.org/10.1175/bams-d-11-00165.1.

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An important environmental control of both tropical cyclone intensity and genesis is vertical wind shear. One hypothesized pathway by which vertical shear affects tropical cyclones is midlevel ventilation—or the flux of low-entropy air into the center of the tropical cyclone. Based on a theoretical framework, a ventilation index is introduced that is equal to the environmental vertical wind shear multiplied by the nondimensional midlevel entropy deficit divided by the potential intensity. The ventilation index has a strong influence on tropical cyclone climatology. Tropical cyclogenesis preferentially occurs when and where the ventilation index is anomalously low. Both the ventilation index and the tropical cyclone's normalized intensity, or the intensity divided by the potential intensity, constrain the distribution of tropical cyclone intensification. The most rapidly intensifying storms are characterized by low ventilation indices and intermediate normalized intensities, while the most rapidly weakening storms are characterized by high ventilation indices and high normalized intensities. Since the ventilation index can be derived from large-scale fields, it can serve as a simple and useful metric for operational forecasts of tropical cyclones and diagnosis of model errors.

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Lloyd, Ian D., and Gabriel A. Vecchi. "Observational Evidence for Oceanic Controls on Hurricane Intensity." Journal of Climate 24, no. 4 (February 15, 2011): 1138–53. http://dx.doi.org/10.1175/2010jcli3763.1.

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Abstract The influence of oceanic changes on tropical cyclone activity is investigated using observational estimates of sea surface temperature (SST), air–sea fluxes, and ocean subsurface thermal structure during the period 1998–2007. SST conditions are examined before, during, and after the passage of tropical cyclones, through Lagrangian composites along cyclone tracks across all ocean basins, with particular focus on the North Atlantic. The influence of translation speed is explored by separating tropical cyclones according to the translation speed divided by the Coriolis parameter. On average for tropical cyclones up to category 2, SST cooling becomes larger as cyclone intensity increases, peaking at 1.8 K in the North Atlantic. Beyond category 2 hurricanes, however, the cooling no longer follows an increasing monotonic relationship with intensity. In the North Atlantic, the cooling for stronger hurricanes decreases, while in other ocean basins the cyclone-induced cooling does not significantly differ from category 2 to category 5 tropical cyclones, with the exception of the South Pacific. Since the SST response is nonmonotonic, with stronger cyclones producing more cooling up to category 2, but producing less or approximately equal cooling for categories 3–5, the observations indicate that oceanic feedbacks can inhibit intensification of cyclones. This result implies that large-scale oceanic conditions are a control on tropical cyclone intensity, since they control oceanic sensitivity to atmospheric forcing. Ocean subsurface thermal data provide additional support for this dependence, showing weaker upper-ocean stratification for stronger tropical cyclones. Intensification is suppressed by strong ocean stratification since it favors large SST cooling, but the ability of tropical cyclones to intensify is less inhibited when stratification is weak and cyclone-induced SST cooling is small. Thus, after accounting for tropical cyclone translation speeds and latitudes, it is argued that reduced cooling under extreme tropical cyclones is the manifestation of the impact of oceanic conditions on the ability of tropical cyclones to intensify.

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SINGH, CHARAN, SUNIT DAS, R. B. VERMA, B. L. VERMA, and B. K. BANDYOPADHYAY. "Rainfall estimation of landfalling tropical cyclones over Indian coasts through satellite imagery." MAUSAM 63, no. 2 (December 16, 2021): 193–202. http://dx.doi.org/10.54302/mausam.v63i2.1377.

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One of the most significant impacts of landfalling tropical cyclones is caused by the copiousrainfall associated with it. The main emphasis of present study is to provide some guidance to the operational forecastersfor indicating the possible rainfall over the areas likely to be affected by the cyclones after landfall. Study of 14 pastlandfalling cyclones reveals that the maximum rainfall occurred in the first forward quadrant of tropical cyclonemovement, followed by the second quadrant and the areas near the track of the cyclones. Isohyetal analysis of 24 hoursrainfall for each cyclone reveals that occurrence of heavy rainfall is generally confined up to 150 kms radius from thestorm centre and rainfall is found to generally extend up to 300 kms with gradual decrease in amount. The rainfallreceiving areas are mostly covered with convective clouds with cloud top temperatures of -80 to -60 ºC, prior to and afterthe landfall of the systems. In 93% of tropical cyclones out of the 14 cases studied, 70 % convection lay to the right of thetrack. To examine the rainfall asymmetry due to asymmetry in distribution of convection, cloud top temperatures derivedfrom satellite infrared imagery data have been taken as the proxy of strong convection. It is also revealed in the study thatthe slow moving tropical cyclones cause heavy rain rather than fast moving tropical cyclones. The Bay of Bengalcyclones which crossed coast as cyclonic storm and very severe cyclonic storm caused 71.4% rainfall within the range 0-10 cm, 22.8% rainfall in the range 11-20 cm and 4.3% rainfall within the range 21-30 cm in the area of radius of 300 kmsfrom the centre of the cyclonic storms. For the Arabian Sea tropical cyclones, in general, about 70% rainfall occurredwithin the range 16-25 cm in 24 hours.

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Hulme, Andrew L., and Jonathan E. Martin. "Synoptic- and Frontal-Scale Influences on Tropical Transition Events in the Atlantic Basin. Part II: Tropical Transition of Hurricane Karen." Monthly Weather Review 137, no. 11 (November 1, 2009): 3626–50. http://dx.doi.org/10.1175/2009mwr2803.1.

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Abstract A finescale simulation of the tropical transition of Atlantic Hurricane Karen in October 2001 is examined to determine the processes leading to the development of upshear convection and its effects on the process of tropical transition. The analysis shows that, as in marine extratropical cyclones, the area upshear of the pretransition cyclone is characterized by reduced stability. Lower-tropospheric frontogenesis leads to an intense burst of convection there and instigates three important processes that combine to produce a full-fledged tropical cyclone. First, the convection generates intense low-level vorticity on the western half of the cyclone, which quickly dominates the cyclone’s vorticity field eventually organizing the circulation into a small-scale, intense vortex. Second, the diabatically enhanced circulation hastens the isolation of the cyclone’s developing warm core by intensifying cold air advection on the northern and western sides of the storm and by placing evaporatively cooled air into the boundary layer to the south of the cyclone. Third, upshear convection vertically redistributes potential vorticity (PV) from the tropopause to the surface and introduces a component to the upper-level winds, which advects strong, shear-inducing PV gradients away from the column above the cyclone. These three processes transform the initial extratropical cyclone into a frontless vortex with tropical storm–force winds and a warm core in a low-shear environment. These features are sufficient, given a warm enough ocean surface, to allow self-amplification of the storm as a tropical cyclone. The results further blur the distinction between tropical and extratropical cyclones as many of the processes identified as important to transition are similar to those that characterize ordinary marine cyclones and the extratropical occlusion process with the key distinctions being that here the convection is stronger and the initial upper-level feature is weaker. Thus, tropical transition of strong extratropical precursors follows the canonical midlatitude cyclone life cycle with upshear convection serving as the catalyst that both induces and organizes processes that favor tropical cyclogenesis in the postmature phase.

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Wu, Liguang, Haikun Zhao, Chao Wang, Jian Cao, and Jia Liang. "Understanding of the Effect of Climate Change on Tropical Cyclone Intensity: A Review." Advances in Atmospheric Sciences 39, no. 2 (January 21, 2022): 205–21. http://dx.doi.org/10.1007/s00376-021-1026-x.

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AbstractThe effect of climate change on tropical cyclone intensity has been an important scientific issue for a few decades. Although theory and modeling suggest the intensification of tropical cyclones in a warming climate, there are uncertainties in the assessed and projected responses of tropical cyclone intensity to climate change. While a few comprehensive reviews have already provided an assessment of the effect of climate change on tropical cyclone activity including tropical cyclone intensity, this review focuses mainly on the understanding of the effect of climate change on basin-wide tropical cyclone intensity, including indices for basin-wide tropical cyclone intensity, historical datasets used for intensity trend detection, environmental control of tropical cyclone intensity, detection and simulation of tropical cyclone intensity change, and some issues on the assessment of the effect of climate change on tropical cyclone intensity. In addition to the uncertainty in the historical datasets, intertwined natural variabilities, the considerable model bias in the projected large-scale environment, and poorly simulated inner-core structures of tropical cyclones, it is suggested that factors controlling the basin-wide intensity can be different from individual tropical cyclones since the assessment of the effect of climate change treats tropical cyclones in a basin as a whole.

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Yanase, Wataru, and Hiroshi Niino. "Parameter Sweep Experiments on a Spectrum of Cyclones with Diabatic and Baroclinic Processes." Journal of the Atmospheric Sciences 76, no. 7 (June 18, 2019): 1917–35. http://dx.doi.org/10.1175/jas-d-18-0232.1.

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Abstract A wide range of environments that prevail over the globe generate various types of cyclones such as tropical, extratropical, and hybrid cyclones. In this paper, idealized numerical experiments are used to explore a spectrum of cyclones ranging from the diabatic type to the baroclinic type in a parameter space consisting of three environmental factors: temperature, vertical shear, and planetary vorticity. The experiments reproduce not only typical dynamics of tropical and extratropical cyclones but also their modified dynamics, which are consistent with theoretical studies; tropical cyclones are suppressed by vertical shear, while extratropical cyclones are intensified by condensational heating. The experiments also reproduce hybrid cyclones in environments with high temperature and large baroclinicity. The hybrid cyclones show multiscale dynamics in which synoptic-scale baroclinic systems spawn smaller-scale tropical cyclone–like convective cores. The spectrum of cyclones is found to be nonmonotonic in the parameter space because of a two-sided effect of the vertical shear: moderate shear weakens a tropical cyclone by tilting the small-scale vortex to the downshear, while strong shear develops a large-scale vortex of an extratropical cyclone or a hybrid cyclone through warm-air advection from the south. The indices based on the energetics and the symmetric and asymmetric structures overview the different types of cyclones in the parameter space. These parameter sweep experiments provide useful information on what environment is favorable for cyclones, particularly for intermediate environments where cyclone mechanisms are yet to be fully defined.

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Scherrmann, Alexander, Heini Wernli, and Emmanouil Flaounas. "Origin of low-tropospheric potential vorticity in Mediterranean cyclones." Weather and Climate Dynamics 4, no. 1 (January 25, 2023): 157–73. http://dx.doi.org/10.5194/wcd-4-157-2023.

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Abstract. Mediterranean cyclones are extratropical cyclones, typically of smaller size and weaker intensity than other cyclones that develop over the main open ocean storm tracks. Nevertheless, Mediterranean cyclones can attain high intensities, even comparable to the ones of tropical cyclones, and thus cause large socioeconomic impacts in the densely populated coasts of the region. After cyclogenesis takes place, a large variety of processes are involved in the cyclone’s development, contributing with positive and negative potential vorticity (PV) changes to the lower-tropospheric PV anomalies in the cyclone center. Although the diabatic processes that produce these PV anomalies in Mediterranean cyclones are known, it is still an open question whether they occur locally within the cyclone itself or remotely in the environment (e.g., near high orography) with a subsequent transport of high-PV air into the cyclone center. This study introduces a Lagrangian method to determine the origin of the lower-tropospheric PV anomaly, which is applied climatologically to ERA5 reanalysis and to 12 monthly simulations, performed with the integrated forecasting system (IFS) model. We define and quantify so-called “cyclonic” and “environmental” PV and find that the main part of the lower-tropospheric PV anomaly (60 %) is produced within the cyclone, shortly prior (−12 h) to the cyclones' mature stage. Nevertheless, in 19.5 % of the cyclones the environmental PV production near the mountains surrounding the Mediterranean Basin plays a significant role in forming the low-tropospheric PV anomaly and therefore in determining the intensity of these cyclones. The analysis of PV tendencies from the IFS simulations reveals that the major PV production inside the cyclone is typically due to convection and microphysics, whereas convection and turbulent momentum tendencies cause most of the positive PV changes in the environment.

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Dissertations / Theses on the topic "Tropical Cyclones"

1

Budzko, David C. "North Pacific tropical cyclones and teleconnections." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://handle.dtic.mil/100.2/ADA432435.

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Spollen, Rachael A. "Meteorological and model traits knowledge bases for North Indian Ocean tropical cyclones." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FSpollen.pdf.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, September 2002.
Thesis advisor(s): Russell L. Elsberry, Patrick A. Harr, Mark A. Boothe. Includes bibliographical references (p. 119-120). Also available online.

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Fu, Bing. "An observational analysis of tropical cyclogenesis in the Western North Pacific." Thesis, University of Hawaii at Manoa, 2003. http://hdl.handle.net/10125/7030.

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Petty, Kevin R. "The effects of synoptic factors on the intensities of tropical cyclones over the eastern North Pacific Ocean." The Ohio State University, 1997. http://catalog.hathitrust.org/api/volumes/oclc/39803779.html.

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Ford, Debra M. "Forecasting tropical cyclone recurvature using an empirical othogonal [sic] function representation of vorticity fields." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA238489.

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Thesis (M.S. in Meteorology and Oceanography)--Naval Postgraduate School, September 1990.
Thesis Advisor(s): Elsberry, Russell L. ; Harr, Patrick A. "September 1990." Description based on title screen as viewed on December 16, 2009. DTIC Identifier(s): EOF (empirical orthogonal functions). Author(s) subject terms: Tropical cyclones, recurvature, empirical orthogonal functions. Includes bibliographical references (p. 73-74). Also available in print.

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Dorics, Theodore G. "An assessment of NOGAPS performance in the prediction of tropical Atlantic circulation formation." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FDorics.pdf.

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Wang, Lei. "Study of tropical cyclogenesis over the South China Sea /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?MATH%202008%20WANG.

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Fritz, Angela Marcelun. "North Atlantic tropical cyclones a kinetic energy perspective /." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29781.

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Thesis (M. S.)--Earth and Atmospheric Sciences, Georgia Institute of Technology, 2010.
Committee Chair: Curry, Judith A.; Committee Member: Black, Robert X.; Committee Member: Deng, Yi. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Blackerby, Jason S. "Accuracy of Western North Pacific tropical cyclone intensity guidance /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FBlackberry.pdf.

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Tao, Cheng. "Climatology of overshootings in tropical cyclones and their roles in tropical cyclone intensity changes using TRMM data." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2457.

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The climatology of overshooting convection in tropical cyclones (TCs) is examined using Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). The percentage of TC convective systems with overshooting convection is highest over the North Indian Ocean basin, while the northwest Pacific basin contains the highest population of both TC convective systems and convection with overshooting tops. Convective systems in the inner core region are more capable of penetrating 14 km and the associated overshooting convection are featured with much stronger overshooting properties compared with those in the inner rainband and outer rainband regions. In the inner core region of TCs, convection associated with precipitating systems of higher intensity and intensification rates has a larger probability of containing overshooting tops. To identify the relative importance of shallow/moderate versus deep/very deep convection in the rapid intensification (RI) of TCs, four types of precipitation-convection are defined based on the 20 dBZ radar echo height (Z20dBZ). Distributions of four types of precipitation-convection, and their contributions to total volumetric rain and total latent heating are quantified. It is shown that RI is closely associated with increased and widespread shallow precipitation around the storm center, while moderately deep and very deep convection (or overshooting convection) does not increase until in the middle of RI. This is further confirmed by the study of rainfall and convection evolution with respect to the timeline of RI events. Statistically, the onset of RI follows a significant increase in the areal coverage of rainfall, shallow precipitation, and cyan of 37 GHz color composites upshear-left, which in turn could be used as potential parameters to forecast RI. Very deep convection is most frequent 12-24 hours before RI onset and concentrates upshear-left, but it quickly decreases in the following 24 hours. The percent occurrence of very deep convection is less than 1% for RI storms. The tilt of vortex is large prior to, and near the RI onset, but rapidly decreases in the middle of RI, suggesting that the vertical alignment is a result instead of a trigger of RI.

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Books on the topic "Tropical Cyclones"

1

K, Hall Michelle, ed. Exploring tropical cyclones. Belmont, CA: Thomson Brooks/Cole, 2007.

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Blake, Eric S. Tropical cyclones of the eastern North Pacific Basin, 1949-2006. Ashville, North Carolina: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service-National Environmental Satellite, Data, and Information Service, 2009.

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Blake, Eric S. Tropical cyclones of the eastern North Pacific Basin, 1949-2006. Ashville, North Carolina: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service-National Environmental Satellite, Data, and Information Service, 2009.

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India. Meteorological Department. Damage potential of tropical cyclones. Pune: Issued by the Office of Additional Director General of Meteorology (Research), 2002.

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Inc, World Book, ed. Hurricanes, typhoons, & other tropical cyclones. 2nd ed. Chicago: World Book, 2009.

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Inc, World Book, ed. Hurricanes, typhoons, & other tropical cyclones. 2nd ed. Chicago: World Book, 2009.

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Hablutzel, Benjamin C. 1998 tropical cyclones, central North Pacific. Honolulu, Hawaii: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1999.

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R, Kodama Kevin, United States. National Weather Service. Pacific Region., and Central Pacific Hurricane Center (U.S.), eds. 2000 tropical cyclones, central North Pacific. [Honolulu, Hawaii]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 2001.

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L, Elsberry Russell, and International Workshop on Tropical Cyclones. (1985 : Bangkok, Thailand)., eds. A Global view of tropical cyclones. Monterey, Calif: Naval Postgraduate School, 1987.

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H, Trapp Glenn, ed. 1993 tropical cyclones, Central North Pacific. Honolulu, Hawaii: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, Pacific Region Headquarters, 1994.

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Book chapters on the topic "Tropical Cyclones"

1

Ginis, Isaac. "Tropical Cyclones." In From Hurricanes to Epidemics, 121–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55012-7_10.

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Camargo, Suzana J., and Solomon M. Hsiang. "Tropical Cyclones." In Extreme Events, 303–42. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119157052.ch18.

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Reilly, Benjamin. "Tropical Cyclones." In Disasters in World History, 211–47. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003436805-7.

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Williams, Jack. "Tropical Cyclones." In The AMS Weather Book: The Ultimate Guide to America’s Weather, 228–57. Boston, MA: American Meteorological Society, 2009. http://dx.doi.org/10.1007/978-1-935704-55-3_10.

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Perevalova, Natalia. "Tropical Cyclones." In Exploring Natural Hazards, 49–74. Boca Raton, FL : CRC Press, 2018.: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315166858-2.

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Rohli, Robert V., and Chunyan Li. "Tropical Cyclones." In Meteorology for Coastal Scientists, 291–308. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73093-2_28.

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Alam, Edris, and Bill DelGrosso. "Tropical cyclones." In Routledge Handbook of Environmental Hazards and Society, 73–87. London: Routledge, 2022. http://dx.doi.org/10.4324/9780367854584-8.

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Qian, Weihong. "Unusual Tropical Cyclones." In Temporal Climatology and Anomalous Weather Analysis, 425–521. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3641-5_8.

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Ravi, Srilata. "Tropical Cyclones in Mauritian Literature." In Tracking the Literature of Tropical Weather, 25–44. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-41516-1_2.

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Raghavan, S. "Radar Observation of Tropical Cyclones." In Radar Meteorology, 313–72. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0201-0_8.

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Conference papers on the topic "Tropical Cyclones"

1

Ni, Weicheng, Ad Stoffelen, Kaijun Ren, Jur Vogelzang, Yanlai Zhao, and Wuxin Wang. "Monitoring of Tropical Cyclones at Enhanced Resolution." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 5803–6. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642968.

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Pascual, Daniel, Christopher Ruf, and Rajeswari Balasubramaniam. "Azimuthal Dependence of CYGNSS Winds in Tropical Cyclones." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 5835–38. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640920.

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Petracca, Ilaria, Fabio Del Frate, William J. Blackwell, Vincent V. Leslie, and Kerri L. Cahoy. "Precipitation retrieval in tropical cyclones by means of TROPICS constellation and neural networks." In Microwave Remote Sensing: Data Processing and Applications III, edited by Emanuele Santi, Fabio Bovenga, Claudia Notarnicola, and Nazzareno Pierdicca, 10. SPIE, 2024. http://dx.doi.org/10.1117/12.3031139.

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May, Joshua, Mehrtash Harandi, J. Scott Tyo, Liang Hu, and Elizabeth A. Ritchie-Tyo. "A CNN system for segmenting tropical cyclones neighborhoods in geostationary images." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 8259–62. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641684.

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Alsweiss, Suleiman, Seubson Soisuvarn, Zorana Jelenak, Paul S. Chang, and Christopher R. Jackson. "Estimating Tropical Cyclones Wind Radii Using NOAA ASCAT Ultra High-Resolution Measurements." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 5807–9. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641502.

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Annane, Bachir, Mark Leidner, Lew Gramer, Brian McNoldy, and Sharanya J. Majumdar. "Optimizing the Utilization of CYGNSS Wind Observations for Numerical Prediction of Tropical Cyclones." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 5575–77. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642626.

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Meti, Govardhana, G. K. Ravi Kumar, and Gudihalli Savitha Swamy. "Novel Deep Clustering Network Technique for Passive Microwave Rainfall Infrared Images Assessment of Tropical Cyclones." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10617159.

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Barone, Matteo, Carmela Galdi, Maurizio di Bisceglie, and Cinzia Zuffada. "A Cross-Comparison Study on CYGNSS and Sentinel-1 wind Speed Products in Tropical Cyclones." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 842–45. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642263.

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Tao, Shanshan, Jialing Song, Zhifeng Wang, Yong Liu, and Sheng Dong. "Statistical Analysis for the Duration and Time Intervals of Tropical Cyclones, Hong Kong." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-95791.

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Abstract Hong Kong is impacted by tropical cyclones from April to December each year. The duration of tropical cyclones is one key factor to impact the normal operation of port or coastal engineering, and longer time interval between two tropical cyclones can provide longer operation or construction time. Therefore, it is quite important to study on the long-term laws of the duration and time intervals of tropical cyclones which attacked Hong Kong. The Hong Kong Observatory issues the warning signals to warn the public of the threat of winds associated with a tropical cyclone. Choose the tropical cyclones with warning signal No. 3 or above as the research object. A statistical study was conducted on the duration of each tropical cyclone, the time interval between every two continuous tropical cyclones during the year, and the time interval between the last cyclone of each year and the first cyclone of the following year. Poisson compound extreme value distributions are constructed to calculate the return values, which can make people know how long a tropical cyclone with a fixed duration or time interval occurs once in statistical average sense. Based on bivariate copulas, the joint probability distribution of duration and time intervals of tropical cyclones are presented. Then when the duration of a tropical cyclone is known, the conditional probability that the time interval before the next tropical cyclone occurs is greater than a certain value can be calculated. The results provide corresponding conditional probability distributions. Similarly, for the sum of the duration of tropical cyclones each year, and the time interval between the last cyclone of each year and the first cyclone of the following year, their joint probability distribution and conditional probability distributions are also presented. The conditional probability can provide the probabilistic prediction of the length of the stationary period (with no impact of tropical cyclones).

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Grey, Stephen, and Ye Liu. "A Probabilistic Approach to Tropical Cyclone Modelling." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96245.

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Abstract Tropical cyclones are highly variable and, in many areas of the world, are the main cause of extreme wind and associated waves, surge and current conditions. At a given location, cyclones that cause a significant impact are relatively rare but severe events, which means that the number of historical events for which data are available is often quite small. In addition, the effects, particularly surge, can be relatively localized and affected by the local bathymetry and topography. This causes considerable difficulty in making quantitative predictions of extreme events for design of offshore or coastal structures in areas affected by tropical cyclones. A new probabilistic method has been developed to increase the sample of tropical cyclones by producing 10,000 years of synthetic cyclone tracks with a range of paths, intensities and sizes based on Hall and Jewson [1] and Casson and Coles [2]. From this set of synthetic tracks, those tropical cyclones most likely to affect the site of interest are modelled using time-varying wind fields based on the Holland model [3] with surge, current and waves then modelled using the hydrodynamic model TELEMAC-2D coupled to the SWAN wave model. As it is impractical to model 10,000 years of tropical cyclones, a Gaussian process emulator is employed to relate the resultant conditions to parameters defining the cyclones, such as track position, heading, intensity and radius to maximum wind. The result is a synthesized 10,000 years of cyclone events from which design conditions for a range of return periods can be predicted with a greater degree of certainty than by extrapolating from historical events.

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Reports on the topic "Tropical Cyclones"

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Noy, Ilan, Miloud Lacheheb, and Madhavi Pundit. The Impact of Tropical Cyclones on Fishing Activities in the Philippines. Asian Development Bank, August 2023. http://dx.doi.org/10.22617/wps230291-2.

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This study looks at fishing activity in the Philippines’ Exclusive Economic Zone in 2012, as well as how it responded to tropical cyclones. The study identifies the main fishing grounds and examines the impact of tropical cyclone speed on vessel position using satellite images and tropical cyclones data. Data suggest that tropical cyclones have a negative impact on fishing activity, with fewer active boats during and after the storm. The most affected locations include the Sibuyan Sea, Visayan Sea, and Panay Gulf. These tropical cyclones were estimated to reduce commercial fishing production by 7,800 tons per day, affecting more than 188,000 families in Western Visayas.

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Holland, Greg J., Yuqing Wang, Peter May, Jeff Kepert, and Lance Leslie. Mesoscale Processes In Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada610207.

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Smith, Roger K. The Dynamics of Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada629427.

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Smith, Roger K. The Dynamics of Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada629939.

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Smith, Roger K. The Dynamics of Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada630961.

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Holland, Greg J., Yuqing Wang, Peter May, Jeff Kepert, and Lance Leslie. Mesoscale Processes in Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada630971.

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Leslie, Lance. Mesoscale Processes in Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada624227.

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Smith, Roger K. The Dynamics of Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada624625.

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Smith, Roger K. The Dynamics of Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada625686.

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Smith, Roger K. The Dynamics of Tropical Cyclones. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada627335.

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