Relationship Between Cyclone Intensities and Sea Surface Temperature in the Tropical Indian Ocean

In most cyclone prediction models, sea surface temperature (SST) is the only oceanographic input, even though storms are known to be impacted by the thermal energy available through oceanic heat content, not just by SST alone. In the tropical Indian Ocean (TIO; 30° S -30° N, 30-120° E), there are no studies that examine the relationship between instantaneous cyclone intensity (CI) and SST as a function of time. Here, we explore that relationship using SST data from the Tropical Rainfall Measuring Mission Microwave Imager and CI data (maximum sustained winds) from the Joint Typhoon Warning Centre. We find that out of 75 TIO cyclones studied during 1998-2011, more than 50% of the cyclones have no significant correlation between CI and SST. The numbers having significant negative (positive) correlations are 31 (3), 13 (10), and 17 (14) with SST leading CI by one, two, and three days, respectively. These results demonstrate that SST is not a useful indicator of CI in the TIO.

[1]  Jay S. Hobgood,et al.  The Relationship between Sea Surface Temperatures and Maximum Intensities of Tropical Cyclones in the Eastern North Pacific Ocean. , 1997 .

[2]  Simon Chang,et al.  Influence of Large-Scale Initial Oceanic Mixed Layer Depth on Tropical Cyclones* , 2000 .

[3]  Charles R. Sampson,et al.  An Operational Statistical Typhoon Intensity Prediction Scheme for the Western North Pacific , 2005 .

[4]  K. Emanuel,et al.  Dissipative heating and hurricane intensity , 1998 .

[5]  J. Knaff,et al.  Applications of Satellite-Derived Ocean Measurements to Tropical Cyclone Intensity Forecasting , 2009 .

[6]  G. P. Cressman AN OPERATIONAL OBJECTIVE ANALYSIS SYSTEM , 1959 .

[7]  W. Liu,et al.  Warm ocean anomaly, air sea fluxes, and the rapid intensification of tropical cyclone Nargis (2008) , 2009 .

[8]  Christopher G. DesAutels,et al.  Environmental Control of Tropical Cyclone Intensity , 2004 .

[9]  A. Clerici,et al.  Landslide failure and runout susceptibility in the upper T. Ceno valley (Northern Apennines, Italy) , 2010 .

[10]  J. Knaff,et al.  Ocean heat content for tropical cyclone intensity forecasting and its impact on storm surge , 2013, Natural Hazards.

[11]  Mark DeMaria,et al.  Sea Surface Temperature and the Maximum Intensity of Atlantic Tropical Cyclones , 1994 .

[12]  Kerry A. Emanuel,et al.  Thermodynamic control of hurricane intensity , 1999, Nature.

[13]  Gustavo Goni,et al.  Effects of a Warm Oceanic Feature on Hurricane Opal , 2000 .

[14]  J. Evans,et al.  Sensitivity of tropical cyclone intensity to sea surface temperature , 1993 .

[15]  Sarika Jain,et al.  Effects of eddies on Bay of Bengal cyclone intensity , 2007 .

[16]  U. C. Mohanty,et al.  Impact of sea surface temperature in modulating movement and intensity of tropical cyclones , 2007 .

[17]  Gustavo Goni,et al.  Ocean thermal structure monitoring could aid in the intensity forecast of tropical cyclones , 2003 .

[18]  J. Namias,et al.  Large-Scale Air-Sea Interactions and Short-Period Climatic Fluctuatioins , 1981, Science.

[19]  T. Knutson,et al.  Impact of CO2-Induced Warming on Simulated Hurricane Intensity and Precipitation: Sensitivity to the Choice of Climate Model and Convective Parameterization , 2004 .

[20]  K. Emanuel The dependence of hurricane intensity on climate , 1987, Nature.