Abstract
Rcnt progrss in computing and modl dvlopmnt has initiatd th ra of global storm-rsolving modling, and with it th potntial to transform wathr and climat prdiction. Within th gnral thm of vtting this nw class of modls, th prsnt study valuats nin global-storm rsolving modls in thir ability to simulat tropical cyclons (Cs). Rsults indicat that, broadly spaking, th modls produc ralistic Cs and rmov longstanding issus known from global modls such as th dficincy in accuratly simulating C intnsity. Howvr, Cs ar strongly affctd by modl formulation, and all modls suffr from uniqu biass rgarding th numbr of Cs, intnsity, siz, and structur. Som modls simulatd Cs bttr than othrs, but no singl modl was suprior in vry way. h ovrall rsults indicat that global storm-rsolving modls can opn a nw chaptr in C prdiction, but thy nd to b improvd to unlash thir full potntial.
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Judt, F., Klocke, D., Rios-Berrios, R., Vanniere, B., Ziemen, F., Auger, L., … Zhou, L. (2021). Tropical cyclones in global storm-resolving models. Journal of the Meteorological Society of Japan, 99(3), 579–602. https://doi.org/10.2151/jmsj.2021-029
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