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Kurihara (1998)
The GFDL Hurricane Prediction System and its performance in the 1995 hurricane seasonMon. Wea. Rev., 126
E. Rappaport, Jiann-Gwo Jiing, C. Landsea, S. Murillo, J. Franklin (2012)
THE JOINT HURRICANE TEST BED Its First Decade of Tropical Cyclone Research-To-Operations Activities ReviewedBulletin of the American Meteorological Society, 93
V. Tallapragada, C. Kieu, Y. Kwon, S. Trahan, Qingfu Liu, Zhan Zhang, I. Kwon (2014)
Evaluation of Storm Structure from the Operational HWRF during 2012 ImplementationMonthly Weather Review, 142
Nolan (2003)
Three-dimensional perturbations to balanced, hurricane-like vortices. Part II: Symmetric response and nonlinear simulationsJ. Atmos. Sci., 60
M. DeMaria, J. Kaplan (1999)
An Updated Statistical Hurricane Intensity Prediction Scheme (SHIPS) for the Atlantic and Eastern North Pacific BasinsWeather and Forecasting, 14
M. DeMaria, Robert Demaria, J. Knaff, Debra Molenar (2012)
Tropical Cyclone Lightning and Rapid Intensity ChangeMonthly Weather Review, 140
Sampson (2000)
The Automated Tropical Cyclone Forecasting System (version 3.2)Bull. Amer. Meteor. Soc., 81
Shay (2000)
Effects of a warm oceanic feature on Hurricane OpalMon. Wea. Rev., 128
X. Hong, Simon Chang, S. Raman, L. Shay, R. Hodur (2000)
The Interaction between Hurricane Opal (1995) and a Warm Core Ring in the Gulf of MexicoMonthly Weather Review, 128
Kossin (2001)
Mesovortices, polygonal flow patterns, and rapid pressure falls in hurricane-like vorticesJ. Atmos. Sci., 58
Hua Chen, Da‐Lin Zhang (2013)
On the Rapid Intensification of Hurricane Wilma (2005). Part II: Convective Bursts and the Upper-Level Warm CoreJournal of the Atmospheric Sciences, 70
Kaplan (2003)
Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basinWea. Forecasting, 18
M. DeMaria (2009)
A Simplified Dynamical System for Tropical Cyclone Intensity PredictionMonthly Weather Review, 137
C. Landsea, J. Franklin (2013)
Atlantic Hurricane Database Uncertainty and Presentation of a New Database FormatMonthly Weather Review, 141
Willoughby (1990)
Temporal changes of the primary circulation in tropical cyclonesJ. Atmos. Sci., 47
J. Cione, E. Uhlhorn (2003)
Sea Surface Temperature Variability in Hurricanes: Implications with Respect to Intensity ChangeMonthly Weather Review, 131
M. Montgomery, R. Kallenbach (1997)
A theory for vortex rossby‐waves and its application to spiral bands and intensity changes in hurricanesQuarterly Journal of the Royal Meteorological Society, 123
R. Rogers, P. Reasor, S. Lorsolo (2013)
Airborne Doppler Observations of the Inner-Core Structural Differences between Intensifying and Steady-State Tropical CyclonesMonthly Weather Review, 141
E. Hendricks, M. Peng, B. Fu, Tim Li (2010)
Quantifying Environmental Control on Tropical Cyclone Intensity ChangeMonthly Weather Review, 138
C. Rozoff, J. Kossin (2011)
New Probabilistic Forecast Models for the Prediction of Tropical Cyclone Rapid IntensificationWeather and Forecasting, 26
J. Kossin, M. Eastin (2001)
Two Distinct Regimes in the Kinematic and Thermodynamic Structure of the Hurricane Eye and EyewallJournal of the Atmospheric Sciences, 58
P. Reasor, M. Eastin, J. Gamache (2009)
Rapidly Intensifying Hurricane Guillermo (1997). Part I: Low-Wavenumber Structure and EvolutionMonthly Weather Review, 137
L. Bosart, C. Velden, W. Bracken, J. Molinari, P. Black (2000)
Environmental Influences on the Rapid Intensification of Hurricane Opal (1995) over the Gulf of MexicoMonthly Weather Review, 128
Margaret Kieper, Haiyan Jiang (2012)
Predicting tropical cyclone rapid intensification using the 37 GHz ring pattern identified from passive microwave measurementsGeophysical Research Letters, 39
J. Kossin, W. Schubert (2001)
Mesovortices, Polygonal Flow Patterns, and Rapid Pressure Falls in Hurricane-Like VorticesJournal of the Atmospheric Sciences, 58
C. Sampson, J. Kaplan, J. Knaff, M. DeMaria, C. Sisko (2011)
A Deterministic Rapid Intensification AidWeather and Forecasting, 26
W. Briggs (2007)
Statistical Methods in the Atmospheric SciencesJournal of the American Statistical Association, 102
H. Willoughby (1990)
Temporal Changes of the Primary Circulation in Tropical Cyclones.Journal of the Atmospheric Sciences, 47
M. DeMaria, C. Sampson, J. Knaff, K. Musgrave (2014)
Is Tropical Cyclone Intensity Guidance ImprovingBulletin of the American Meteorological Society, 95
M. Riemer, M. Montgomery, M. Nicholls (2012)
Further examination of the thermodynamic modification of the inflow layer of tropical cyclones by vertical wind shearAtmospheric Chemistry and Physics, 13
R. Rogers, P. Reasor, Jun Zhang (2015)
Multiscale Structure and Evolution of Hurricane Earl (2010) during Rapid IntensificationMonthly Weather Review, 143
J. Knaff, M. DeMaria, C. Sampson, J. Gross (2003)
Statistical, 5-Day Tropical Cyclone Intensity Forecasts Derived from Climatology and PersistenceWeather and Forecasting, 18
F. Judt, Shuyi Chen, J. Berner (2016)
Predictability of tropical cyclone intensity: scale‐dependent forecast error growth in high‐resolution stochastic kinetic‐energy backscatter ensemblesQuarterly Journal of the Royal Meteorological Society, 142
(1997)
Part I: Lowwavenumber structure and evolution
R. Elsberry, T. Lambert, M. Boothe (2007)
Accuracy of atlantic and eastern north pacific tropical cyclone intensity forecast guidanceWeather and Forecasting, 22
J. Kaplan, M. DeMaria, J. Knaff (2010)
A Revised Tropical Cyclone Rapid Intensification Index for the Atlantic and Eastern North Pacific BasinsWeather and Forecasting, 25
J. Knaff (2008)
Rapid tropical cyclone transitions to major hurricane intensity: structural evolution of infrared imagery
T. Hamill (1999)
Hypothesis Tests for Evaluating Numerical Precipitation ForecastsWeather and Forecasting, 14
DeMaria (1999)
An updated Statistical Hurricane Intensity Prediction Scheme (SHIPS) for the Atlantic and eastern North Pacific basinsWea. Forecasting, 14
C. Carrasco, C. Landsea, Yuh-Lang Lin (2014)
The Influence of Tropical Cyclone Size on Its IntensificationWeather and Forecasting, 29
S. Kidder, Andrew Jones (2007)
A Blended Satellite Total Precipitable Water Product for Operational ForecastingJournal of Atmospheric and Oceanic Technology, 24
C. Sampson, Ann Schrader (2000)
The Automated Tropical Cyclone Forecasting System (Version 3.2)Bulletin of the American Meteorological Society, 81
Y. Kurihara, R. Tuleya, M. Bender (1998)
The GFDL Hurricane Prediction System and Its Performance in the 1995 Hurricane SeasonMonthly Weather Review, 126
Hong (2000)
The interaction between Hurricane Opal (1995) and a warm core ring in the Gulf of MexicoMon. Wea. Rev., 128
Haiyan Jiang (2012)
The Relationship between Tropical Cyclone Intensity Change and the Strength of Inner-Core ConvectionMonthly Weather Review, 140
D. Nolan, L. Grasso (2003)
Nonhydrostatic, Three-Dimensional Perturbations to Balanced, Hurricane-Like Vortices. Part II: Symmetric Response and Nonlinear SimulationsJournal of the Atmospheric Sciences, 60
S. Guimond, G. Heymsfield, F. Turk (2010)
Multiscale Observations of Hurricane Dennis (2005): The Effects of Hot Towers on Rapid IntensificationJournal of the Atmospheric Sciences, 67
J. Kaplan, M. DeMaria (2003)
Large-Scale Characteristics of Rapidly Intensifying Tropical Cyclones in the North Atlantic BasinWeather and Forecasting, 18
D. Hanley, J. Molinari, D. Keyser (2001)
A Composite Study of the Interactions between Tropical Cyclones and Upper-Tropospheric TroughsMonthly Weather Review, 129
Molinari (1990)
External influences on hurricane intensity. Part II: Vertical structure and response of the hurricane vortexJ. Atmos. Sci., 47
M. DeMaria, M. Mainelli, L. Shay, J. Knaff, J. Kaplan (2005)
Further improvements to the Statistical Hurricane Intensity Prediction Scheme (SHIPS)Weather and Forecasting, 20
J. Knaff, Scott Longmore, Debra Molenar (2014)
An Objective Satellite-Based Tropical Cyclone Size ClimatologyJournal of Climate, 27
Hui Wang, Yuqing Wang (2014)
A Numerical Study of Typhoon Megi (2010). Part I: Rapid IntensificationMonthly Weather Review, 142
C. Rozoff, C. Velden, J. Kaplan, J. Kossin, A. Wimmers (2015)
Improvements in the Probabilistic Prediction of Tropical Cyclone Rapid Intensification with Passive Microwave ObservationsWeather and Forecasting, 30
William Brenneman (2005)
Statistics for ResearchTechnometrics, 47
Hanley (2001)
A composite study of the interactions between tropical cyclones and upper-tropospheric troughsMon. Wea. Rev., 129
Bosart (2000)
Environmental influences on the rapid intensification of Hurricane Opal (1995) over the Gulf of MexicoMon. Wea. Rev., 128
Knaff (2003)
Statistical 5-day tropical cyclone intensity forecasts derived from climatology and persistenceWea. Forecasting, 18
J. Dunion (2011)
Rewriting the Climatology of the Tropical North Atlantic and Caribbean Sea AtmosphereJournal of Climate, 24
L. Shay, G. Goñi, P. Black (2000)
Effects of a Warm Oceanic Feature on Hurricane OpalMonthly Weather Review, 128
J. Molinari, David Vollaro (1990)
External Influences on Hurricane Intensity. Part II: Vertical Structure and Response of the Hurricane VortexJournal of the Atmospheric Sciences, 47
Hamill (1999)
Hypothesis tests for evaluating numerical precipitation forecastsWea. Forecasting, 14
New multi-lead-time versions of three statistical probabilistic tropical cyclone rapid intensification (RI) prediction models are developed for the Atlantic and eastern North Pacific basins. These are the linear-discriminant analysis–based Statistical Hurricane Intensity Prediction Scheme Rapid Intensification Index (SHIPS-RII), logistic regression, and Bayesian statistical RI models. Consensus RI models derived by averaging the three individual RI model probability forecasts are also generated. A verification of the cross-validated forecasts of the above RI models conducted for the 12-, 24-, 36-, and 48-h lead times indicates that these models generally exhibit skill relative to climatological forecasts, with the eastern Pacific models providing somewhat more skill than the Atlantic ones and the consensus versions providing more skill than the individual models. A verification of the deterministic RI model forecasts indicates that the operational intensity guidance exhibits some limited RI predictive skill, with the National Hurricane Center (NHC) official forecasts possessing the most skill within the first 24 h and the numerical models providing somewhat more skill at longer lead times. The Hurricane Weather Research and Forecasting Model (HWRF) generally provides the most skillful RI forecasts of any of the conventional intensity models while the new consensus RI model shows potential for providing increased skill over the existing operational intensity guidance. Finally, newly developed versions of the deterministic rapid intensification aid guidance that employ the new probabilistic consensus RI model forecasts along with the existing operational intensity model consensus produce lower mean errors and biases than the intensity consensus model alone.
Weather and Forecasting – American Meteorological Society
Published: Feb 27, 2015
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