A novel web-based system for tropical cyclone analysis and prediction

References

• Aamodt , A. and Plaza , E. 1994 . Case-based reasoning – foundational issues, methodological variations, and system approaches . Ai Communications , 7 : 39 – 59 .
   Web of Science ®Google Scholar
• Aberson , S.D. and Sampson , C.R. 2003 . On the predictability of tropical cyclone tracks in the Northwest Pacific basin . Monthly Weather Review , 131 : 1491 – 1497 .
   Web of Science ®Google Scholar
• Bao , C.L. and Sadler , J.C. 1983 . The speed of recurving typhoons over the western north Pacific-Ocean . Monthly Weather Review , 111 : 1280 – 1292 .
   Web of Science ®Google Scholar
• Breiman , L. 1984 . Classification and regression trees , Belmont , CA : Wadsworth .
   Google Scholar
• Camargo , S.J. Cluster analysis of western North Pacific tropical cyclone tracks . Proceedings of the 26th conference on hurricanes and tropical meteorology . Miami , FL . pp. 250 – 251 .
   Google Scholar
• Camargo , S.J. 2007a . Cluster analysis of typhoon tracks. Part I: general properties . Journal of Climate , 20 : 3635 – 3653 .
   Web of Science ®Google Scholar
• Camargo , S.J. 2007b . Cluster analysis of typhoon tracks. Part II: large-scale circulation and ENSO . Journal of Climate , 20 : 3654 – 3676 .
   Web of Science ®Google Scholar
• Camargo , S.J. 2008 . Clustering of eastern North Pacific tropical cyclone tracks: ENSO and MJO effects . Geochemistry Geophysics Geosystems , 9 : Q06V05
   Web of Science ®Google Scholar
• Chan , J.C.L. 1985 . Tropical cyclone activity in the northwest Pacific in relation to the El Nino/Southern Oscillation phenomenon . Monthly Weather Review , 113 : 599 – 606 .
   Web of Science ®Google Scholar
• Chan , J.C.L. 2000 . Tropical cyclone activity over the western North Pacific associated with El Nino and La Nina events . Journal of Climate , 13 : 2960 – 2972 .
   Web of Science ®Google Scholar
• Chan , J.C.L. 2005 . The physics of tropical cyclone motion . Annual Review of Fluid Mechanics , 37 : 99 – 128 .
   Web of Science ®Google Scholar
• Chan , J.C.L. , Gray , W.M. and Kidder , S.Q. 1980 . Forecasting tropical cyclone turning motion from surrounding wind and temperature-fields . Monthly Weather Review , 108 : 778 – 792 .
   Web of Science ®Google Scholar
• Cheng , C.-C. , Hsu , N.-S. and Wei , C.-C. 2008 . Decision-tree analysis on optimal release of reservoir storage under typhoon warnings . Natural Hazards , 44 : 65 – 84 .
   Web of Science ®Google Scholar
• Cheung , N.K.W. 2006 . The roles of ENSO on the occurrence of abruptly recurving tropical cyclones over the Western North Pacific Ocean Basin . Advanced Geoscience , 6 : 139 – 148 .
   Google Scholar
• Ching , S.E. , Chan , J.C.L. and Lai , E.S.T. Tropical cyclone landfall along the South China Coast . 24th conference on hurricanes and tropical meteorology/10th conference on interaction of the sea and atmosphere . Monterey , CA . pp. 274 – 275 .
   Google Scholar
• Deng , A. 2004 . Evaluation of interregional transport using the MM5-SCIPUFF system . Journal of Applied Meteorology , 43 : 1886 – 1864 .
   Google Scholar
• Dobos , P.H. and Elsberry , R.L. 1993 . Forecasting tropical cyclone recurvature. Part 1: evaluation of existing methods . Monthly Weather Review , 121 : 1273 – 1278 .
   Web of Science ®Google Scholar
• Ebdon , R.A. 1960 . Notes on the wind flow at 50 mb in tropical and sub-tropical regions in January 1957 and January 1958 . Quarterly Journal of the Royal Meteorological Society , 86 : 540 – 542 .
   Web of Science ®Google Scholar
• Elsberry , R.L. 2004 . “ Monsoon-related tropical cyclones in East Asia ” . In East Asian monsoon , Edited by: Chang , C.-P. 463 – 498 . Hackensack , NJ : World Scientific Press .
   Google Scholar
• Evans , J.L. and McKinley , K. 1998 . Relative timing of tropical storm lifetime maximum intensity and track recurvature . Meteorology and Atmospheric Physics , 65 : 241 – 245 .
   Web of Science ®Google Scholar
• Fayyad , U. and Stolorz , P. 1997 . Data mining and KDD: promise and challenges . Future Generation Computer Systems , 13 : 99 – 115 .
   Web of Science ®Google Scholar
• Gaffney , S. 2004 . Probabilistic curve-aligned clustering and prediction with regression mixture models , Irvine , CA : University of California .
   Google Scholar
• Gaffney , S. and Smyth , P. 1999 . “ Trajectory clustering with mixtures of regression models ” . In Proceedings of the fifth ACM SIGKDD international conference on knowledge discovery and data mining , Edited by: Chaudhuri , S. and Madigan , D. San Diego , CA : ACM .
   Google Scholar
• Gaffney , S. 2007 . Probabilistic clustering of extratropical cyclones using regression mixture models . Climate Dynamics , 29 : 423 – 440 .
   Web of Science ®Google Scholar
• Han , J. and Kamber , M. 2006 . Data mining: concepts and techniques , San Francisco , CA : Morgan Kaufmann .
   Google Scholar
• Harr , P.A. and Chan , J.C.L. 2005 . “ Monsoon impacts on tropical cyclone variability ” . In The global monsoon system: research and forecast , Edited by: Chang , C.-P. , Wang , B. and Lau , N.-C.G. 512 – 542 . Geneva : World Meteorological Organization .
   Google Scholar
• Harr , P.A. and Elsberry , R.L. 1991 . Tropical cyclone track characteristics as a function of large-scale circulation anomalies . Monthly Weather Review , 119 : 1448 – 1468 .
   Web of Science ®Google Scholar
• Harr , P.A. and Elsberry , R.L. 1995 . Large-scale circulation variability over the tropical western North Pacific. Part 1: spatial patterns and tropical cyclone characteristics . Monthly Weather Review , 123 : 1225 – 1246 .
   Web of Science ®Google Scholar
• Ho , C.H. 2004 . Interdecadal changes in summertime typhoon tracks . Journal of Climate , 17 : 1767 – 1776 .
   Web of Science ®Google Scholar
• Hodanish , S. and Gray , W.M. 1993 . An observational analysis of tropical cyclone recurvature . Monthly Weather Review , 121 : 2665 – 2689 .
   Web of Science ®Google Scholar
• Holland , G. 1993 . Global guide to tropical cyclone forecasting , Geneva : World Meteorological Organization .
   Google Scholar
• Joint Typhoon Warning Center (JTWC) . 1988 . Annual tropical cyclone report , 216 Guam : U.S. Naval Oceanography Command Center .
   Google Scholar
• Juneng , L. 2007 . Simulation of tropical cyclone Vamei (2001) using the PSU/NCAR MM5 model . Meteorology and Atmospheric Physics , 97 : 273 – 290 .
   Web of Science ®Google Scholar
• Kalnay , E. 1996 . The NCEP/NCAR 40-year reanalysis project . Bulletin of the American Meteorological Society , 77 : 437 – 471 .
   Web of Science ®Google Scholar
• Knaff , J.A. 2009 . Revisiting the maximum intensity of recurving tropical cyclones . International Journal of Climatology , 29 : 827 – 837 .
   Web of Science ®Google Scholar
• Kolodner , J. 1993 . Case-based reasoning , San Mateo , CA : Morgan Kaufmann .
   Google Scholar
• Kong , Z.L. The development and application of marine system based on GIS . Itess: 2008 Proceedings of information technology and environmental system sciences . Vol. 1 , pp. 58 – 63 . Beijing : Publishing House Electronics Industry .
   Google Scholar
• Krishnamurti , T.N. 1992 . Recurvature dynamics of a typhoon . Meteorology and Atmospheric Physics , 50 : 105 – 126 .
   Web of Science ®Google Scholar
• Kumar , K.V. , Bhattacharya , A. and Subramanyam , C. 1998 . Coastal morphological influence for tropical cyclone track deviation along Andhra coast: GIS and remote sensing-based approach . Current Science , 75 : 955 – 958 .
   Web of Science ®Google Scholar
• Kurbalija , V. , Ivanovic , M. and Budimac , Z. 2009 . Case-based curve behaviour prediction . Software: Practice & Experience , 39 : 81 – 103 .
   Web of Science ®Google Scholar
• Lage , T. 1982 . “ Forecasting tropical cyclone recurvature using an empirical orthogonal function representation of the synoptic forcing ” . In Master's Thesis,Naval Postgraduate School Monterey , CA
   Google Scholar
• Lee , J.-G. , Han , J. and Whang , K.-Y. Trajectory clustering: a partition-and-group framework . Proceedings of the 2007 ACM SIGMOD international conference on Management of data . Beijing , China. Edited by: Chan , C.Y. , Ooi , B.C. and Zhou , A. ACM .
   Google Scholar
• Leftwich , P.W. Regression estimation of the probability of tropical cyclone recurvature . Preprints, Sixth Conference on Probability and Statistics in Atmospheric Sciences, Banff, American Meteorological Society . pp. 63 – 66 .
   Google Scholar
• Lehodey , P. 1997 . El Nino southern oscillation and tuna in the western Pacific . Nature , 389 : 715 – 718 .
   Web of Science ®Google Scholar
• Leung , Y. 2010 . Knowledge discovery in spatial data , Berlin , , Germany : Springer-Verlag .
   Google Scholar
• Liu , K.S. and Chan , J.C.L. 2003 . Climatological characteristics and seasonal forecasting of tropical cyclones making landfall along the South China coast . Monthly Weather Review , 131 : 1650 – 1662 .
   Web of Science ®Google Scholar
• Lu , R. and Dong , B. 2001 . Westward extension of North Pacific subtropical high in summer . Journal of the Meteorological Society of Japan , 79 : 1229 – 1241 .
   Web of Science ®Google Scholar
• Lyons , S.W. 2004 . US tropical cyclone landfall variability: 1950–2002 . Weather and Forecasting , 19 : 473 – 480 .
   Web of Science ®Google Scholar
• MacAfee , A.W. Canadian hurricane centre forecaster's workstation . Preprints, 22nd conference on hurricanes and tropical meteorology, American Meteorological Society . Fort Collins , CO . pp. 137 – 138 .
   Google Scholar
• Madden , R.A. and Julian , P.R. 1971 . Detection of a 40–50 day oscillation in the zonal wind in the tropical Pacific . Journal of the Atmospheric Sciences , 28 : 702 – 708 .
   Web of Science ®Google Scholar
• Madden , R.A. and Julian , P.R. 1972 . Description of global-scale circulation cells in the tropics with a 40–50 day period . Journal of the Atmospheric Sciences , 29 : 1109 – 1123 .
   Web of Science ®Google Scholar
• Madden , R.A. and Julian , P.R. 1994 . Observations of the 40–50-day tropical oscillation – a review . Monthly Weather Review , 122 : 814 – 837 .
   Web of Science ®Google Scholar
• Mandal , M. 2007 . Impact of sea surface temperature in modulating movement and intensity of tropical cyclones . Natural Hazards , 41 : 413 – 427 .
   Web of Science ®Google Scholar
• Masser , I. , Campbell , H. and Craglia , M. 1996 . GIS diffusion: the adoption and use of geographical information systems in local government in Europe , Boca Raton , FL : CRC Press .
   Google Scholar
• Murnane , R.J. and Liu , K.B. 2004 . Hurricanes and typhoons: past, present, and future , New York : Columbia University Press .
   Google Scholar
• Neumann , C.J. 1972 . An alternate to the HURRAN tropical cyclone forecast system . NOAA Technical Memorandum NWS SR-62 , 32
   Google Scholar
• Pielke , R.A. Jr. 2000 . “ Introduction to storms ” . In Chapter 1 in Volume I of Storms , Edited by: Pielke , R.A. Sr. London : Routledge Press .
   Google Scholar
• Ramsay , H.A. and Leslie , L.M. 2008 . The effects of complex terrain on severe landfalling tropical cyclone Larry (2006) over Northeast Australia . Monthly Weather Review , 136 : 4334 – 4354 .
   Web of Science ®Google Scholar
• Reed , R.J. 1961 . Evidence of a downward-propagating, annual wind reversal in the equatorial stratosphere . Journal of Geophysical Research , 66 : 813 – 818 .
   Web of Science ®Google Scholar
• Rossby , C.G. 1939 . Relation between variations in the intensity of the zonal circulation of the atmosphere and the displacements of the semi-permanent centers of action . Journal of Marine Research , 2 : 38 – 55 .
   Google Scholar
• Sampson , C.R. and Schrader , A.J. 2000 . The automated tropical cyclone forecasting system (version 3.2) . Bulletin of the American Meteorological Society , 81 : 1231 – 1240 .
   Web of Science ®Google Scholar
• Simpson , A. and Riehl , H. 1981 . The hurricane and its impact , Baton Rouge , LA : Louisiana State University Press .
   Google Scholar
• Velden , C.S. and Leslie , L.M. 1991 . The basic relationship between tropical cyclone intensity and the depth of the environmental steering layer in the Australian region . Weather and Forecasting , 6 : 244 – 253 .
   Web of Science ®Google Scholar
• Wang , B. and Fan , Z. 1999 . Choice of South Asian summer monsoon indices . Bulletin of the American Meteorological Society , 80 : 629 – 638 .
   Web of Science ®Google Scholar
• Wang , B. , Wu , R.G. and Li , T. 2003 . Atmosphere-warm ocean interaction and its impacts on Asian–Australian monsoon variation . Journal of Climate , 16 : 1195 – 1211 .
   Web of Science ®Google Scholar
• Wang , B. 2008 . How to measure the strength of the East Asian summer monsoon . Journal of Climate , 21 : 4449 – 4463 .
   Web of Science ®Google Scholar
• Wang , Y. and Wu , C.C. 2004 . Current understanding of tropical cyclone structure and intensity changes – a review . Meteorology and Atmospheric Physics , 87 : 257 – 278 .
   Web of Science ®Google Scholar
• Wong , M.L.M. and Chan , J.C.L. 2004 . Tropical cyclone intensity in vertical wind shear . Journal of the Atmospheric Sciences , 61 : 1859 – 1876 .
   Web of Science ®Google Scholar
• Woodcock , F. 1995 . Tropical cyclone work station to support warning-response management . Australian Journal of Emergency Management , 10 : 21 – 23 . ATCW project 1/91
   Google Scholar
• Wu , C.-C. 2003 . Eyewall contraction, breakdown and reformation in a landfalling typhoon . Geophysical Research Letters , 30 : 1887
   Web of Science ®Google Scholar
• Yang , M.J. , Zhang , D.L. and Huang , H.L. 2008 . A modeling study of Typhoon Nari (2001) at landfall. Part I: topographic effects . Journal of the Atmospheric Sciences , 65 : 3095 – 3115 .
   Web of Science ®Google Scholar