An examination of the relationship between North Atlantic tropical storm activity and sea surface temperature using time series modeling
Jose Maliekal, SUNY, Brockport, NY
In this study, time series of sea surface temperature, the number of tropical storms and the number of major hurricanes from the North Atlantic Ocean are examined using bivariate autoregressive time series models. Model parameters are used to diagnose the nature of the interaction between storm activity and sea surface temperature. The methodology employed in uses the well-established concept that a process represented by the time series Yt can be considered causal to another process represented by time series Xt, if the knowledge of the past history of Yt improves the prediction of the future values of Xt beyond what can be achieved from the knowledge of the past history of Xt alone. Among other things, results of this analysis should clarify whether or not the relationship between sea surface temperature and the number storm is the same as the relationship between the sea surface temperature and the number of major hurricanes. Recent studies have shown that the number of major hurricanes in the North Atlantic and other ocean basins is increasing and that this increase is related to increases in sea surface temperature. In most ocean basins, the number of tropical storms and the number of cyclone days remain do not show such an increase.
Joint Poster Session 4, Joint Poster: Climate & Extremes, Linking Weather and Climate (Joint with Second Symposium on Policy and Socio-economic Research, Symposium on Connections Between Mesoscale Processes and Climate Variability, 19th Conference on Climate Variability and Change, and Climate Change Manifested by Changes in Weather)
Wednesday, 17 January 2007, 2:30 PM-4:00 PM, Exhibit Hall C
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