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References

SHIPS Model References

  • DeMaria, M., and J. Kaplan, 1994: A statistical hurricane intensity prediction scheme (SHIPS) for the Atlantic basin. Wea. Forecasting, 9, 209 220. PDF
  • Kaplan, J., and M. DeMaria, 1995: A simple empirical model for predicting the decay of tropical cyclone winds after landfall. J. Appl. Meteor., 34, 2499 2512. PDF
  • DeMaria, M., and J. Kaplan, 1999: An updated statistical hurricane intensity prediction scheme (SHIPS) for the Atlantic and eastern north Pacific basins. Wea. Forecasting, 14, 326-337. PDF
  • Kaplan, J., and M. DeMaria, 2001: On the decay of tropical cyclone winds after landfall in the New England area. J. Appl. Meteor., 40, 280-286. PDF
  • DeMaria, M., M. Mainelli, L.K. Shay, J.A. Knaff and J. Kaplan, 2005: Further Improvements in the Statistical Hurricane Intensity Prediction Scheme (SHIPS). Wea. Forecasting, 20, 531-543. PDF
  • DeMaria, M., J.A. Knaff, and J. Kaplan, 2006: On the decay of tropical cyclone winds crossing narrow landmasses, J. Appl. Meteor., 45, 491-499. PDF
  • Jones, T. A., D. J. Cecil, and M. DeMaria, 2006: Passive Microwave-Enhanced Statistical Hurricane Intensity Prediction Scheme. Wea. and Forecasting, 21, 613-635. PDF
  • DeMaria, M., 2010: Tropical cyclone intensity change predictability estimates using a statistical-dynamical model. Extended Abstract, 29th AMS Conference on Hurricanes and Tropical Meteorology, May 10-14, 2010, Tucson, AZ. PDF
  • Schumacher, A.S., M. DeMaria, and J. Knaff, 2013: Summary of the New Statistical-Dynamical Intensity Foreast Models for the Indian Ocean and Southern Hemisphere and Resulting Performance. JTWC Project Final Report.

STIPS Model References

  • Knaff, J.A., C.R. Sampson, and M. DeMaria, 2005: An Operational Statistical Typhoon Intensity Prediction Scheme for the Western North Pacific. Wea. Forecasting, 20, 688-699. PDF
  • Knaff, J.A., and C.R. Sampson, 2009: Southern Hemisphere Tropical Cyclone Intensity Forecast Methods Used at the Joint Typhoon Warning Center, Part II: Statistical-Dynamical Forecasts. Australian Meteorological and Oceanographic Journal, 58:1, 9-18 PDF

LGEM Model References

  • DeMaria, M., 2009: A simplified dynamical system for tropical cyclone intensity prediction. Mon. Wea. Rev., 137, 68-82. PDF
  • DeMaria, M. 2010: Tropical Cyclone Intensity Change Predictability Estimates Using a Statistical-Dynamical Model, 29th AMS Conference on Hurricanes and Tropical Meteorology, Tucson, AZ. PDF

Rapid Intensification Index References

  • Kaplan, J., and M. DeMaria, 2003: Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin, Wea. Forecasting, 18,1093-1108. PDF
  • Kaplan, J., M. DeMaria, and J.A. Knaff, 2010: A Revised Tropical Cyclone Rapid Intensification Index for the Atlantic and Eastern North Pacific Basins. PDF
  • Kaplan, J., C.M. Rozoff, M. DeMaria, C.R.Sampson, J.P. Kossin, C.S. Velden, J.J. Cione, J.P. Dunion, J.A. Knaff, J.A. Zhang, J.F. Dostalek, J.D. Hawkins, T.F. Lee, and J.E. Solbrig, 2015: Evaluating environmental impacts on tropical cyclone rapid intensification predictability utilizing statistical models. Wea. Forecasting, 30, 1374-1396. PDF
  • Onderlinde, M., and M. DeMaria, 2018: Deterministic to Probabilistic Statistical Rapid Intensification Index (DTOPS): A New Method for Forecasting RI Probability. 33rd Conference on Hurricanes and Tropical Meteorology, Amer. Meteor. Soc, April 2018, Ponte Vedra, FL. Available from: https://ams.confex.com/ams/33HURRICANE/webprogram/Paper339346.html
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