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1. Full Text A GRAPES‐based mesoscale ensemble prediction system for tropical cyclone forecasting: configuration and performance
by Zhang, Xubin
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 01/2018, Volume 144, Issue 711, pp. 478 - 498
To improve short‐range tropical cyclone (TC) forecasting in China from both deterministic and probabilistic standpoints, a mesoscale ensemble prediction system... 
ensemble prediction system | tropical cyclone | rainfall | mesoscale | wind | VERTICAL DIFFUSION | HURRICANE | SCIENTIFIC DESIGN | MODEL | TRACK FORECAST | SOUTH CHINA SEA | PROBABILISTIC PREDICTION | WESTERN NORTH PACIFIC | DATA ASSIMILATION | INITIAL CONDITION | METEOROLOGY & ATMOSPHERIC SCIENCES | Storms | Tropical cyclones | Grapes | Rain and rainfall | Hurricane forecasting | Analysis | Ensemble forecasting | Weather forecasting | Probability theory | Prediction | Tropical cyclone forecasting | Rainfall | Boundary conditions | Surface temperature | Hurricanes | Wind forecasting | Forecasting | Weather extremes | Physics | Cyclone forecasting | Heavy rainfall | Tropical environment | Cyclones | Perturbations
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2. Tropical cyclone center locations from Enhanced Infrared satellite imagery
by Jiang, Jixi and Dvorak, Vernon F
1987, NOAA technical memorandum NESDIS, Volume No.18., iv, 10 p. : ill. ; 28 cm.
Satellite meteorology | Cyclone forecasting | Cyclones | Tropics
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3. Full Text ENSO-based tropical cyclone forecasting using CF-ANFIS
by Duong, Trong Hai and Do, Phi Hung and Nguyen, Sy Dzung and Hoang, Minh Hien
Vietnam Journal of Computer Science, ISSN 2196-8888, 5/2016, Volume 3, Issue 2, pp. 81 - 91
According to literature, there are two aspects of a successful approach for seasonal forecasting of tropical cyclones, including factors relating to the... 
Computer Applications | ENSO | Information Systems and Communication Service | Forecasting | Tropical cyclone making landfall | Computer Systems Organization and Communication Networks | Computational Intelligence | El Niño | Computer Science | Machine learning | Artificial Intelligence (incl. Robotics) | e-Commerce/e-business | ANFIS | Vietnam | Algorithms | Neural networks | Regression | Cyclones | Mathematical models | Sea surface temperature
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4. Nekotorye voprosy statisticheskogo analiza i prognoza peremeshchenii͡a tropicheskikh t͡siklonov Atlanticheskogo okeana
by Gresʹko, P. D. (Petr Dmitrievich) and Gruza, G. V. (Georgiĭ Vadimovich)
1987, 175
Tropical meteorology | Cyclone forecasting | Statistical weather forecasting
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5. Typhoon turning atlas
by Qian, Weihong and Liang, Haoyuan, author and Shan, Xiaolong, author
2014, ISBN 9789814531818, viii, 441
Typhoons | Tracks | Decomposition method | Cyclones | Observations | Forecasting | Tropics
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6. TOPEX report
and World Meteorological Organization. Tropical Cyclone ProgrammeWorld Meteorological Organization
TOPEX report, 1980
Cyclone forecasting | World Meteorological Organization. Tropical Cyclone Programme.Typhoon Operational Experiment | Meteorology
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7. Full Text Tropical cyclone‐ocean interaction in Typhoon Megi (2010)—A synergy study based on ITOP observations and atmosphere‐ocean coupled model simulations
by Wu, Chun‐Chieh and Tu, Wei‐Tsung and Pun, Iam‐Fei and Lin, I‐I and Peng, Melinda S
Journal of Geophysical Research: Atmospheres, ISSN 2169-897X, 01/2016, Volume 121, Issue 1, pp. 153 - 167
A mesoscale model coupling the Weather Research and Forecasting model and the three‐dimensional Price‐Weller‐Pinkel ocean model is used to investigate the... 
coupled model | tropical cyclone | stable boundary layer | SST cooling | upper ocean thermal structure | WAVE-OCEAN | BOUNDARY-LAYER | CBLAST-HURRICANE | INTENSITY | PREDICTION | FEATURES | SOUTH CHINA SEA | EDDY | METEOROLOGY & ATMOSPHERIC SCIENCES | Cyclones | Models | Ocean-atmosphere interaction | Atmosphere | Meteorology | Ocean currents | Climatology | Wind | Sea surface | Temperature | Typhoons | Tracking | Weather forecasting | Surface temperature | Research | Vertical advection | Ocean models | Cyclone forecasting | Temperature effects | Stable boundary layer | Tropical environment | Mathematical models | Boundary layer stability | Coupling | Cooling | Upper ocean | Computer simulation | Ocean circulation | Vertical mixing | Prediction | Tropical cyclone forecasting | Satellite observation | Hurricanes | Sea surface temperature | Forecasting | Weather | Advection | Satellites | Area | Navy | Storms | Tropical cyclones | Simulation | Analysis | Upwelling | Thermal structure | Mesoscale phenomena | Inflow | Dimensional stability | Three dimensional models | Surface wind | Oceans | Cold working | Joining | Three dimensional
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8. Statisticheskie metody prognoza peremeshchenii͡a tropicheskikh t͡siklonov Atlanticheskogo okeana
by Gruza, G. V. (Georgiĭ Vadimovich) and Gresʹko, P. D. (Petr Dmitrievich)
1977, 134
Tropical meteorology | Statistical weather forecasting | Cyclone forecasting
Book
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9. Full Text On the Seasonal Forecasting of Regional Tropical Cyclone Activity
by G. A. Vecchi and T. Delworth and R. Gudgel and S. Kapnick and A. Rosati and A. T. Wittenberg and F. Zeng and W. Anderson and V. Balaji and K. Dixon and L. Jia and H.-S. Kim and L. Krishnamurthy and R. Msadek and W. F. Stern and S. D. Underwood and G. Villarini and X. Yang and S. Zhang
Journal of Climate, ISSN 0894-8755, 11/2014, Volume 27, Issue 21, pp. 7994 - 8016
Tropical cyclones (TCs) are a hazard to life and property and a prominent element of the global climate system; therefore, understanding and predicting TC... 
Climate change | Oceans | Tropical climates | Atmospheric models | Weather forecasting | Climate models | Hurricanes | Cyclones | Modeling | Forecasting models | Hurricanes/typhoons | General circulation models | Forecasting techniques | Seasonal forecasting | Climate prediction | TRACKS | ATLANTIC HURRICANE FREQUENCY | TRANSPORT | GLOBAL ATMOSPHERIC MODEL | CLIMATE-CHANGE | DATA ASSIMILATION | PART II | METEOROLOGY & ATMOSPHERIC SCIENCES | GENERAL-CIRCULATION MODEL | EL-NINO | RETROSPECTIVE FORECASTS | Meteorology
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10. Full Text Applications of Satellite-Derived Ocean Measurements to Tropical Cyclone Intensity Forecasting
by GUSTAVO GONI and MARK DEMARIA and JOHN KNAFF and CHARLES SAMPSON and ISAAC GINIS and FRANCIS BRINGAS and ALBERTO MAVUME and CHRIS LAUER and I.-I. LIN and M.M. ALI and PAUL SANDERY and SILVANA RAMOS-BUARQUE and KIRYONG KANG and AVICHAL MEHRA and ERIC CHASSIGNET and GEORGE HALLIWELL
Oceanography, ISSN 1042-8275, 9/2009, Volume 22, Issue 3, pp. 190 - 197
Sudden tropical cyclone (TC) intensification has been linked with high values of upper ocean heat content contained in mesoscale features, particularly warm... 
Weather | GODAE SPECIAL ISSUE FEATURE | Storms | Oceans | Ships | Weather forecasting | Statistical weather forecasting | Hurricanes | Cyclones | Forecasting models | Meteorology | SYSTEM | WESTERN NORTH PACIFIC | PREDICTION SCHEME SHIPS | HURRICANES | OCEANOGRAPHY | INITIALIZATION | tropical cyclone | TC intensification | tropical cyclone forecasting | GODAE
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11. Full Text Ocean heat content for tropical cyclone intensity forecasting and its impact on storm surge
by Lin, I.-I and Lin, I.-I and Goni, Gustavo J and Goni, Gustavo J and Knaff, John A and Knaff, John A and Forbes, Cristina and Forbes, Cristina and Ali, M M and Ali, M M
Natural Hazards, ISSN 0921-030X, 4/2013, Volume 66, Issue 3, pp. 1481 - 1500
Accurate tropical cyclone track and intensity forecasts are vital to storm surge prediction and risk management. However, current cyclone intensity forecast... 
Earth Sciences | Hydrogeology | Natural Hazards | Intensity forecast | Tropical cyclone | Civil Engineering | Geotechnical Engineering & Applied Earth Sciences | Geophysics/Geodesy | Storm surge | Heat potential | Environmental Management | ATLANTIC | VALIDATION | HURRICANE INTENSITY | WATER RESOURCES | INTENSIFICATION | TYPHOONS | SATELLITE-OBSERVATIONS | GEOSCIENCES, MULTIDISCIPLINARY | THERMAL STRUCTURE | ALTIMETRY | PREDICTION SCHEME SHIPS | IN-SITU OBSERVATIONS | METEOROLOGY & ATMOSPHERIC SCIENCES | Ocean | Marine biology | Tropical cyclones | Storms | Statistics | Analysis | Cyclones | Floods | Ocean-atmosphere interaction | Risk assessment | Meteorology | Amplification | Oceans | Encounters | Hurricanes | Mathematical models | Storm surges | Surges
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12. Full Text Verification of tropical cyclone heat potential for tropical cyclone intensity forecasting in the Western North Pacific
by Wada, Akiyoshi
Journal of Oceanography, ISSN 0916-8370, 8/2015, Volume 71, Issue 4, pp. 373 - 387
Tropical cyclone heat potential (TCHP) is a measurable metric calculated by the summation of ocean heat content from the surface down to the depth of the 26 °C... 
Tropical cyclone intensity forecast | Earth Sciences | Tropical cyclone heat potential | Profiling float | Freshwater & Marine Ecology | 26 °C isothermal depth | Ocean data assimilation | Oceanography | Tropical cyclone deepening | VARIABILITY | OCEANOGRAPHY | DYNAMICS | 26 degrees C isothermal depth | OCEAN THERMAL STRUCTURE | INTENSIFICATION | Ocean temperature | Tropical cyclones | Research | Cyclones | Ocean-atmosphere interaction | Meteorology
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13. Full Text Have we reached the limits of predictability for tropical cyclone track forecasting?
by Landsea, Christopher W and Cangialosi, John P
Bulletin of the American Meteorological Society, ISSN 0003-0007, 11/2018, Volume 99, Issue 11, pp. 2237 - 2243
The tropical cyclone is the largest single-day-impact meteorological event in the United States and worldwide through its effects from storm surge, extreme... 
METEOROLOGY & ATMOSPHERIC SCIENCES | ATMOSPHERIC PREDICTABILITY | State of the art | Climate | Ensemble forecasting | Atmospheric models | Measuring instruments | Fresh water | Emergency management | Information management | Weather extremes | Work platforms | Tropical cyclone track forecasting | Inland water environment | Tropical environment | Cyclones | Modelling | Emergency preparedness | Trends | Private sector | Steering | Satellite observation | Storm surges | Hurricanes | Flooding | Atmospheric sciences | Winds | Errors | Satellites | Storms | Tropical cyclones | Initial conditions | Predictability | Data collection | Tidal waves | Tornadoes | Forecast accuracy | Data assimilation
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14. Full Text Seasonal Forecasting of Tropical Cyclone Landfall Using ECMWF’s System 4
by Bergman, Dan L and Magnusson, Linus and Nilsson, Johan and Vitart, Frederic
Weather and Forecasting, ISSN 0882-8156, 10/2019, Volume 34, Issue 5, pp. 1239 - 1255
A method has been developed to forecast seasonal landfall risk using ensembles of cyclone tracks generated by ECMWF’s seasonal forecast system 4. The method... 
Correlation | Weather forecasting | Seasonal forecasting | Storm damage | Hurricanes | Cyclone tracks | Tropical cyclones | Tropical environment | Cyclones | Trends | Seasons | Mining industry | Meteorology
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15. Full Text Tropical Cyclone Count Forecasting Using a Dynamical Seasonal Prediction System
: Sensitivity to Improved Ocean Initialization
by Andrea Alessandri and Andrea Borrelli and Silvio Gualdi and Enrico Scoccimarro and Simona Masina
Journal of Climate, ISSN 0894-8755, 6/2011, Volume 24, Issue 12, pp. 2963 - 2982
This study investigates the predictability of tropical cyclone (TC) seasonal count anomalies using the Centro Euro-Mediterraneo per i Cambiamenti... 
Tropical regions | Oceans | El Nino | Tropical climates | Predictability | Weather forecasting | Probability forecasts | Cyclones | Wind shear | Forecasting models | Ocean models | Tropical cyclones | Sea surface temperature | Forecasting | Seasonal forecasting | INTERANNUAL VARIABILITY | MADDEN-JULIAN OSCILLATION | COUPLED GCM | SEA-SURFACE TEMPERATURE | INDIAN-OCEAN | BASIC STATE | DATA ASSIMILATION | METEOROLOGY & ATMOSPHERIC SCIENCES | GENERAL-CIRCULATION MODEL | EL-NINO | CLIMATE | Assimilation | Weather | Temperature | General circulation models | Shear strength | Salinity
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16. Full Text Seasonal Atlantic tropical cyclone hindcasting/forecasting using two sea surface temperature datasets
by LaRow, Timothy E and Stefanova, Lydia and Shin, Dong‐Wook and Cocke, Steven
Geophysical Research Letters, ISSN 0094-8276, 01/2010, Volume 37, Issue 2, p. n/a
Seasonal Atlantic basin tropical cyclone hindcasts are conducted from 1986–2005 using the Florida State University/Center for Ocean Atmospheric Prediction... 
numerical model | tropical cyclones | climate | ENSEMBLE | VARIABILITY | GEOSCIENCES, MULTIDISCIPLINARY | STORM FREQUENCY | MODEL | INTEGRATIONS | CLIMATE | Climate change | Atmospheric sciences | Meteorology | Climate science | Climate | Correlation | Basins | Cyclones | Hurricanes | Mathematical models | Sea surface temperature | Atmospherics
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17. Full Text A case-based fuzzy multicriteria decision support model for tropical cyclone forecasting
by San Pedro, Jocelyn and Burstein, Frada and Sharp, Alan
European Journal of Operational Research, ISSN 0377-2217, 2005, Volume 160, Issue 2, pp. 308 - 324
This paper proposes a multi-stage framework for intelligent decision support. The proposed framework integrates case-based reasoning and fuzzy multicriteria... 
Tropical cyclone prediction | Fuzzy multicriteria decision making | Intelligent decision support | Case-based reasoning | SYSTEM | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MOTION | tropical cyclone prediction | case-based reasoning | fuzzy multicriteria decision making | intelligent decision support | Fuzzy logic | Multiple criteria decision making | Decision support systems | Technology application | Usage | Fuzzy algorithms | Fuzzy systems
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18. Full Text Forecasting the tropical cyclone genesis over the Northwest Pacific through identifying the causal factors in cyclone-climate interactions
by Bai, Chengzu and Zhang, Ren and Bao, Senliang and Liang, X. San and Guo, Wenbo
Journal of Atmospheric and Oceanic Technology, ISSN 0739-0572, 02/2018, Volume 35, Issue 2, pp. 247 - 259
How to extract the causal relations in climate-cyclone interactions is an important problem in atmospheric science. Traditionally, the most commonly used... 
Algorithms | Data mining | Forecasting techniques | Climate prediction | Time series | VARIABILITY | IMPACT | ENGINEERING, OCEAN | ENSO | RECONSTRUCTION | MODEL | METEOROLOGY & ATMOSPHERIC SCIENCES | Climate | Correlation | Entropy | Oceanography | Southern Oscillation | Monsoon trough | Cloud-climate relationships | Fuzzy sets | Information science | El Nino | Tropical environment | Poisson density functions | Cyclones | Climatic indexes | Research centers | Meteorology | Hypothesis testing | Statistical analysis | Probability theory | Monsoons | Hurricanes | Regression analysis | El Nino phenomena | Atmospheric sciences | Tropical cyclones | Simulation | Correlation analysis | Information flow | Collaboration | El Nino-Southern Oscillation event | Genesis | Interactions | Causality | Bayesian analysis | Pacific Decadal Oscillation | Wind shear | Handling
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19. Full Text Monitoring and forecasting of tropical cyclones: A new information-modeling tool to reduce the risk
by Varotsos, Costas A and Krapivin, Vladimir F and Soldatov, Vladimir Yu
International Journal of Disaster Risk Reduction, ISSN 2212-4209, 05/2019, Volume 36, p. 101088
Tropical cyclones are natural meteorological phenomena that are sometimes beneficial and sometimes dangerous. Beneficial because they can carry rain in the dry... 
Franklin | Harvey | Cyclone forecasting | Tropical cyclones disasters | Irma and Katia tropical cyclones | Information theory | GEOSCIENCES, MULTIDISCIPLINARY | SST | WATER RESOURCES | METEOROLOGY & ATMOSPHERIC SCIENCES | PREDICTION
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