North Atlantic Ocean Basin tropical cyclone activity as related to climate factors for the 2010 hurricane season

T. Yan, L. J. Pietrafesa, D. A. Dickey, S. Bao, N. E. Huang, Z. Wu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Atmospheric and oceanic climate factors and conditions play a crucial role in modulating seasonal/annual tropical cyclone activity in the North Atlantic Ocean Basin. In the following, correlations between North Atlantic tropical cyclone activity including frequency of occurrence and pathways are explored, with special emphasis on hurricanes. The value of two-dimensional and three-dimensional data sets representing climate patterns is investigated. Finally, the diagnostic study of historical tropical cyclone and hurricane temporal and spatial variability and relationships to climate factors lead to a statistical prognostic forecast, made in April, 2010, of the 2010 tropical cyclone and hurricane season. This forecast is tested both retrospectively and presently and is shown to be quite accurate. Knowing the probability of the frequency of occurrence, i.e. the numbers of named storms to form in general and the number of hurricanes (NHs) that are likely to form, is important for many societal sectors. However, the reliable forecasts of probable pathways of predicted events, specifically the likely NH land falls along the coastlines of the United States, should have great potential value to emergency planners, the insurance industry, and the public. The forecast provided in this study makes such a prognostication. As the 2010 hurricane season has progressed, an update of the goodness of the forecast is shown to be quite accurate in numbers of named events, hurricanes, major hurricanes (MHs), and landfalls. The mathematical and statistical methodology used in this study, which could be coupled to next generation "empirical modal decomposition," suggests that this may signal a new era in the future of tropical cyclone forecasting, including the reliable prognostication of numbers of events, intensities of events, and the pathways of those events. The ability to reliably predict the probability and location of land falls of these destructive events would be very powerful indeed.

Original languageEnglish
Pages (from-to)463-508
Number of pages46
JournalAdvances in Adaptive Data Analysis
Issue number4
StatePublished - Oct 2010


  • climate
  • EMD
  • EOF
  • forecast
  • geo-potential height
  • hurricane
  • landfalls frequency
  • north Atlantic ocean basin
  • sea level pressure
  • sea surface temperature
  • Tropic cyclones
  • vertical shear


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