Simulated connections between ENSO and tropical cyclones near guam in a high-resolution GFDL coupled climate model: Implications for seasonal forecasting

Wei Zhang, Gabriel Andres Vecchi, Gabriele Villarini, Hiroyuki Murakami, Thomas Delworth, Liwei Jia, Richard Gudgel, Fanrong Zeng

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This study aims to assess the connections between El Niño-Southern Oscillation (ENSO) and tropical cyclones near Guam (GuamTCs) using the state-of-the-art Geophysical Fluid Dynamics Laboratory (GFDL) Forecast-Oriented Low Ocean Resolution version of CM2.5 (FLOR). In observations, more (fewer) GuamTCs occur in El Niño (La Niña) years, and the ENSO-GuamTC connections arise from TC genesis locations in ENSO phases. The observed ENSO-GuamTC connections are realistically simulated in the two control experiments that use two versions of FLOR: the standard version and another with flux adjustments (FLOR-FA). The ENSO-GuamTC connections in FLOR-FA are closer to observations than those in FLOR because of a better representation of TC genesis during ENSO phases. The physical mechanisms underlying the observed ENSO-GuamTC connections are further supported in the long-term control experiments with FLOR and FLOR-FA. The ENSO-GuamTC connections in sea surface temperature (SST)- and sea surface salinity (SSS)-restoring experiments with FLOR 1990 strongly resemble the observations, suggesting the ENSO-GuamTC connections arise substantially from the forcing of SST. The prediction skill of FLOR-FA for GuamTC frequency is quite promising in terms of correlation and root-mean-square error and is higher than that of FLOR for the period 1980-2014. This study shows the capability of global climate models (FLOR and FLOR-FA) in simulating the linkage between ENSO and TC activity near a highly localized region (i.e., Guam) and in predicting the frequency of TCs at the subbasin scale.

Original languageEnglish (US)
Pages (from-to)8231-8248
Number of pages18
JournalJournal of Climate
Volume29
Issue number22
DOIs
StatePublished - Jan 1 2016

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Keywords

  • Climate prediction
  • Coupled models
  • ENSO
  • Pacific Ocean
  • Tropical cyclones

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