Subseasonal Tropical Cyclone Prediction and Modulations by MJO and ENSO in CESM2

Hui Li, Jadwiga H. Richter, Chia Ying Lee, Hyemi Kim

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Subseasonal tropical cyclone (TC) reforecasts from the Community Earth System Model version 2 (CAM6) subseasonal prediction system are examined in this study. We evaluate the modeled TC climatology and the probabilistic forecast skill of basin-wide TC genesis at weekly temporal resolution. Prediction skill is calculated using the Brier skill score relative to a constant annual mean climatology and to a monthly varying seasonal climatology during TC season. The model captures the observed basin-wide climatological TC seasonality and spatial distributions at weeks 1–6, but TC genesis is largely underestimated from Week 2 onward. For some basins and lead times, the predicted TC genesis is primarily controlled by the number of TC “seeds” and the mean-state climate condition. The model has good prediction skill relative to the constant climatology across all the basins and lead times, but is only skillful in the eastern Pacific, North Indian Ocean, and Southern Hemisphere at Week 1 when compared to the seasonal climatology, indicating limited skill in predicting deviations from the seasonal cycle. We find strong modulations of the predicted TC genesis at up to 3 weeks of forecast lead time by the Madden-Julian Oscillation. The interannual variability of predicted TC genesis and accumulated cyclone energy are skillfully predicted in the North Atlantic and the Northwestern Pacific, with a strong modulation by the El Nino-Southern Oscillation.

Original languageEnglish
Article numbere2022JD036986
JournalJournal of Geophysical Research: Atmospheres
Volume127
Issue number22
DOIs
StatePublished - 27 Nov 2022

Bibliographical note

Publisher Copyright:
© 2022. American Geophysical Union. All Rights Reserved.

Keywords

  • Earth system prediction
  • subseasonal prediction
  • tropical cyclone

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