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

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Abstract

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.

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Acknowledgements

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.

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Authors and Affiliations

  1. IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA, USA

    Wei Zhang & Gabriele Villarini

  2. Department of Geosciences, Princeton University, Princeton, NJ, USA

    Gabriel A. Vecchi

  3. Princeton Environmental Institute, Princeton University, Princeton, NJ, USA

    Gabriel A. Vecchi

  4. National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA

    Hiroyuki Murakami

  5. Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, USA

    Hiroyuki Murakami

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  1. Wei Zhang
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  2. Gabriele Villarini
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  4. Hiroyuki Murakami
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Correspondence to Wei Zhang.

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Zhang, W., Villarini, G., Vecchi, G.A. et al. Rainfall from tropical cyclones: high-resolution simulations and seasonal forecasts. Clim Dyn 52, 5269–5289 (2019). https://doi.org/10.1007/s00382-018-4446-2

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