Climate Dynamics

, Volume 52, Issue 9–10, pp 5269–5289 | Cite as

Rainfall from tropical cyclones: high-resolution simulations and seasonal forecasts

  • Wei ZhangEmail author
  • Gabriele Villarini
  • Gabriel A. Vecchi
  • Hiroyuki Murakami


This study examines the performance of the Geophysical Fluid Dynamics Laboratory Forecast-Oriented Low Ocean Resolution version of CM2.5 (FLOR; ~ 50-km mesh) and high-resolution FLOR (HiFLOR; ~ 25-km mesh) in reproducing the climatology and interannual variability in rainfall associated with tropical cyclones (TCs) in both sea surface temperature (SST)-nudging and seasonal-forecast experiments. Overall, HiFLOR outperforms FLOR in capturing the observed climatology of TC rainfall, particularly in East Asia, North America and Australia. In general, both FLOR and HiFLOR underestimate the observed TC rainfall in the coastal regions along the Bay of Bengal, connected to their failure to accurately simulate the bimodal structure of the TC genesis seasonality. A crucial factor in capturing the climatology of TC rainfall by the models is the simulation of the climatology of spatial TC density. Overall, while HiFLOR leads to a better characterization of the areas affected by TC rainfall, the SST-nudging and seasonal-forecast experiments with both models show limited skill in reproducing the year-to-year variation in TC rainfall. Ensemble-based estimates from these models indicate low potential skill for year-to-year variations in TC rainfall, yet the models show lower skill than this. Therefore, the low skill for interannual TC rainfall in these models reflects both a fundamental limit on predictability/reproducibility of seasonal TC rainfall as well as shortcomings in the models.



We are grateful to two anonymous reviewers for helpful comments. This material is based in part upon work supported by the National Science Foundation under Grants AGS-1262091 and AGS-1262099, and Award NA14OAR4830101 from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce.

Supplementary material

382_2018_4446_MOESM1_ESM.docx (4.9 mb)
Supplementary material 1 (DOCX 5065 KB)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.IIHR-Hydroscience and EngineeringThe University of IowaIowa CityUSA
  2. 2.Department of GeosciencesPrinceton UniversityPrincetonUSA
  3. 3.Princeton Environmental InstitutePrinceton UniversityPrincetonUSA
  4. 4.National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics LaboratoryPrincetonUSA
  5. 5.Atmospheric and Oceanic Sciences ProgramPrinceton UniversityPrincetonUSA

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