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Tropical Cyclone Prediction on Subseasonal Time-Scales

Camargo, Suzana J.; Camp, Joanne; Elsberry, Russel L.; Gregory, Paul A.; Klotzbach, Philip J.; Schreck III, Carl J.; Sobel, Adam H.; Ventrice, Michael J.; Vitart, Frédéric; Wang, Zhuo; Wheeler, Matthew C.; Yamaguchi, Munehiko; Zhan, Ruifen

Here we discuss recent progress in understanding tropical cyclone (TC) subseasonal variability and its prediction. There has been a concerted effort to understand the sources of predictability at subseasonal time-scales, and this effort has continued to make progress in recent years. Besides the Madden-Julian Oscillation (MJO), other modes of variability affect TCs at these time-scales, in particular various equatorial waves. Additionally, TC activity is also modulated by extratropical processes via Rossby wave breaking.

There has also been progress in the ability of models to simulate the MJO and its modulation of TC activity. Community efforts have created multi-model ensemble datasets, which have made it possible to evaluate the forecast skill of the MJO and TCs on subseasonal time-scales in multiple forecasting systems. While there is positive skill in some cases, there is strong dependence on the ensemble system considered, the basin examined, and whether the storms have extratropical influences or not. Furthermore, the definition of skill differs among studies. Forecasting centers are currently issuing subseasonal TC forecasts using various techniques (statistical, statistical-dynamical and dynamical). There is also a strong interest in the private sector for forecasts with 3-4 weeks lead time.

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Also Published In

Title
Tropical Cyclone Research and Review
DOI
https://doi.org/10.1016/j.tcrr.2019.10.004