Intraseasonal Tropical Cyclogenesis Prediction in a Global Coupled Model System

Author:

Jiang Xianan12,Xiang Baoqiang34,Zhao Ming3,Li Tim5,Lin Shian-Jiann3,Wang Zhuo6,Chen Jan-Huey34

Affiliation:

1. Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, California

2. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

3. NOAA/Geophysical Fluid Dynamics Laboratory, Princeton University, Princeton, New Jersey

4. University Corporation for Atmospheric Research, Boulder, Colorado

5. Department of Atmospheric Sciences, University of Hawai‘i at Mānoa, Honolulu, Hawaii

6. University of Illinois at Urbana–Champaign, Urbana, Illinois

Abstract

Motivated by increasing demand in the community for intraseasonal predictions of weather extremes, predictive skill of tropical cyclogenesis is investigated in this study based on a global coupled model system. Limited intraseasonal cyclogenesis prediction skill with a high false alarm rate is found when averaged over about 600 tropical cyclones (TCs) over global oceans from 2003 to 2013, particularly over the North Atlantic (NA). Relatively skillful genesis predictions with more than 1-week lead time are only evident for about 10% of the total TCs. Further analyses suggest that TCs with relatively higher genesis skill are closely associated with the Madden–Julian oscillation (MJO) and tropical synoptic waves, with their geneses strongly phase-locked to the convectively active region of the MJO and low-level cyclonic vorticity associated with synoptic-scale waves. Moreover, higher cyclogenesis prediction skill is found for TCs that formed during the enhanced periods of strong MJO episodes than those during weak or suppressed MJO periods. All these results confirm the critical role of the MJO and tropical synoptic waves for intraseasonal prediction of TC activity. Tropical cyclogenesis prediction skill in this coupled model is found to be closely associated with model predictability of several large-scale dynamical and thermodynamical fields. Particularly over the NA, higher predictability of low-level relative vorticity, midlevel humidity, and vertical zonal wind shear is evident along a tropical belt from the West Africa coast to the Caribbean Sea, in accord with more predictable cyclogenesis over this region. Over the extratropical NA, large-scale variables exhibit less predictability due to influences of extratropical systems, leading to poor cyclogenesis predictive skill.

Funder

Climate Program Office

Office of Naval Research Global

National Oceanic and Atmospheric Administration

U.S. Naval Research Laboratory

Publisher

American Meteorological Society

Subject

Atmospheric Science

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