Predictability of Atlantic tropical cyclones in the GFDL HiRAM model

Abstract

The hindcasts of the Geophysical Fluid Dynamics Laboratory (GFDL) High‐Resolution Atmospheric Model (HiRAM), which skillfully predicted the interannual variability of Atlantic tropical cyclone (TC) frequency, were analyzed to investigate what key circulation systems a model must capture in order to skillfully predict TCs. The HiRAM reproduced the leading empirical orthogonal function mode (M1) of the interannual variability of the Atlantic Hadley circulation and its impacts on environmental conditions. M1 represents the variability of the Intertropical Convergence Zone (ITCZ) intensity and width, and the predictability of Atlantic TCs can be explained by the lag correlation between M1 and SST in preceding months. Although the ITCZ displacement was not well predicted by the HiRAM hindcasts, it does not affect the prediction of the basin‐wide hurricane count. The analyses suggest that the leading mode of the variability of the regional Hadley circulation can serve as a useful metric to evaluate the performance of global models in TC seasonal prediction.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 10, 2015
Source ID
10.1002/2015gl063587

Entities

People

  • Gan Zhang
  • Jan‐huey Chen
  • Melinda S. Peng
  • Shian‐jiann Lin
  • Zhuo Wang

Organizations

  • National Oceanic and Atmospheric Administration
  • National Science Foundation
  • Office of Naval Research
  • United States Naval Research Laboratory
  • University Corporation for Atmospheric Research
  • University of Illinois Urbana–Champaign

Tags

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation