Objectively Determined Resolution-Dependent Threshold Criteria for the Detection of Tropical Cyclones in Climate Models and Reanalyses

Objectively derived resolution-dependent criteria are defined for the detection of tropical cyclones in model simulations and observationally based analyses. These criteria are derived from the wind profiles of observed tropical cyclones, averaged at various resolutions. Both an analytical wind profile model and two-dimensional observed wind analyses are used. The results show that the threshold wind speed of an observed tropical cyclone varies roughly linearly with resolution. The criteria derived here are compared to the numerous different criteria previously employed in climate model simulations. The resulting method provides a simple means of comparing climate model simulations and reanalyses.

[1]  Jun Yoshimura,et al.  Tropical Cyclone Climatology in a Global-Warming Climate as Simulated in a 20 km-Mesh Global Atmospheric Model: Frequency and Wind Intensity Analyses , 2006 .

[2]  R. Darling,et al.  Parametric Representation of the Primary Hurricane Vortex. Part II: A New Family of Sectionally Continuous Profiles , 2006 .

[3]  A. Barnston,et al.  A statistical assessment of tropical cyclone activity in atmospheric general circulation models , 2005 .

[4]  V. Pope,et al.  Tropical storms: representation and diagnosis in climate models and the impacts of climate change , 2005 .

[5]  M. Rahn,et al.  Parametric Representation of the Primary Hurricane Vortex. Part I: Observations and Evaluation of the Holland (1980) Model , 2004 .

[6]  Madhuri S. Mulekar,et al.  A 15-Year Climatology of North Atlantic Tropical Cyclones. Part I: Size Parameters , 2004 .

[7]  J. McGregor,et al.  Fine-resolution regional climate model simulations of the impact of climate change on tropical cyclones near Australia , 2004 .

[8]  J. Franklin,et al.  GPS Dropwindsonde Wind Profiles in Hurricanes and Their Operational Implications , 2003 .

[9]  Suzana J. Camargo,et al.  Improving the Detection and Tracking of Tropical Cyclones in Atmospheric General Circulation Models , 2002 .

[10]  R. Elsberry,et al.  Tropical Cyclone Formations over the Western North Pacific in the Navy Operational Global Atmospheric Prediction System Forecasts , 2002 .

[11]  Akira Noda,et al.  Influence of the Global Warming on Tropical Cyclone Climatology: An Experiment with the JMA Global Model , 2002 .

[12]  J. Tsutsui Implications of Anthropogenic Climate Change for Tropical Cyclone Activity : A Case Study with the NCAR CCM2 , 2002 .

[13]  K. Walsh,et al.  Interannual, Decadal, and Transient Greenhouse Simulation of Tropical Cyclone–like Vortices in a Regional Climate Model of the South Pacific , 2001 .

[14]  J. L. Anderson,et al.  Sensitivity of Atlantic Tropical Storm Frequency to ENSO and Interdecadal Variability of SSTs in an Ensemble of AGCM Integrations , 2001 .

[15]  J. Katzfey,et al.  The Impact of Climate Change on the Poleward Movement of Tropical Cyclone-Like Vortices in a Regional Climate Model , 2000 .

[16]  Jeffrey L. Anderson,et al.  Impact of Large-Scale Circulation on Tropical Storm Frequency, Intensity, and Location, Simulated by an Ensemble of GCM Integrations , 1999 .

[17]  Mark D. Powell,et al.  The HRD real-time hurricane wind analysis system , 1998 .

[18]  F. Chauvin,et al.  A Gcm Study of the Impact of Greenhouse Gas Increase on the Frequency of Occurrence of Tropical Cyclones , 1998 .

[19]  M. Latif,et al.  The impact of current and possibly future sea surface temperature anomalies on the frequency of Atlantic hurricanes , 1998 .

[20]  I. Watterson,et al.  Tropical Cyclone-like Vortices in a Limited Area Model: Comparison with Observed Climatology , 1997 .

[21]  Jeffrey L. Anderson,et al.  Simulation of Interannual Variability of Tropical Storm Frequency in an Ensemble of GCM Integrations. , 1997 .

[22]  Timothy A. Reinhold,et al.  Hurricane Andrew's Landfall in South Florida. Part I: Standardizing Measurements for Documentation of Surface Wind Fields , 1996 .

[23]  A. Kasahara,et al.  Simulated tropical cyclones using the National Center for Atmospheric Research community climate model , 1996 .

[24]  L. Bengtsson,et al.  Will greenhouse gas-induced warming over the next 50 years lead to higher frequency and greater intensity of hurricanes ? , 1996 .

[25]  L. Bengtsson,et al.  Hurricane-type vortices in a general circulation model , 1995 .

[26]  L. Bengtsson,et al.  Hurricane-type vortices in a general circulation , 1995 .

[27]  M. Lander Description of a Monsoon Gyre and Its Effects on the Tropical Cyclones in the Western North Pacific during August 1991 , 1994 .

[28]  R. Haarsma,et al.  Tropical disturbances in a GCM , 1993 .

[29]  Ngar-Cheung Lau,et al.  A GCM Simulation of the Relationship between Tropical-Storm Formation and ENSO , 1992 .

[30]  Lance M. Leslie,et al.  A Real-Time System for Forecasting Tropical Cyclone Storm Surges , 1991 .

[31]  Syukuro Manabe,et al.  Can existing climate models be used to study anthropogenic changes in tropical cyclone climate , 1990 .

[32]  T. Krishnamurti,et al.  Hurricane Prediction with a High Resolution Global Model , 1989 .

[33]  Kerry Emanuel,et al.  An Air-Sea Interaction Theory for Tropical Cyclones. Part I: Steady-State Maintenance , 1986 .

[34]  M. Kanamitsu,et al.  Simulation of hurricane-type vortics in ageneral circulation model , 1982 .

[35]  G. Holland An Analytic Model of the Wind and Pressure Profiles in Hurricanes , 1980 .

[36]  J. Louis A parametric model of vertical eddy fluxes in the atmosphere , 1979 .

[37]  S. Manabe,et al.  Tropical Circulation in a Time-Integration of a Global Model of the Atmosphere , 1970 .