Tropical cyclones in global storm-resolving models

Judt, F., Klocke, D., Rios-Berrios, R. ORCID: https://orcid.org/0000-0001-8600-400X, Vanniere, B. ORCID: https://orcid.org/0000-0001-8600-400X, Ziemen, F., Auger, L., Biercamp, J., Bretherton, C., Chen, X., Duben, P., Hohenegger, C., Kharaidnutov, M., Kodama, C., Kornblueh, L., Lin, S.-J., Nakano, M., Neumann, P., Putman, W., Rober, N., Roberts, M., Satoh, M., Shibuya, R., Stevens, B., Vidale, P. L. ORCID: https://orcid.org/0000-0002-1800-8460, Wedi, N. and Zhou, L. (2021) Tropical cyclones in global storm-resolving models. Journal of the Meteorological Society of Japan. Ser. II, 99 (3). pp. 579-602. ISSN 0026-1165 doi: 10.2151/jmsj.2021-029

Abstract/Summary

Recent progress in computing and model development has initiated the era of global storm-resolving modeling and with it the potential to transform weather and climate prediction. Within the general theme of vetting this new class of models, the present study evaluates nine global-storm resolving models in their ability to simulate tropical cyclones (TCs). Results show that, broadly speaking, the models produce realistic TCs and remove longstanding issues known from global models such as the deficiency to accurately simulate TC intensity. However, TCs are strongly affected by model formulation, and all models suffer from unique biases regarding the number of TCs, intensity, size, and structure. Some models simulated TCs better than others, but no single model was superior in every way. The overall results indicate that global storm-resolving models are able to open a new chapter in TC prediction, but they need to be improved to unleash their full potential.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/103419
Item Type	Article
Refereed	No
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Meteorological Society of Japan
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