Title: Tropical cyclones in global storm-resolving models
Authors: Judt, Falko
Klocke, Daniel
Rios-Berrios, Rosimar
Vanniere, Benoit
Ziemen, Florian
Auger, Ludovic
Biercamp, Joachim
Bretherton, Christopher
Chen, Xi
Düben, Peter
Hohenegger, Cathy
Khairoutdinov, Marat
Kodama, Chihiro
Kornblueh, Luis
Lin, Shian Jiann
Nakano, Masuo
Neumann, Philipp 
Putman, William
Röber, Niklas
Roberts, Malcolm
Satoh, Masaki
Shibuya, Ryosuke
Stevens, Bjorn
Vidale, Pier Luigi
Wedi, Nils
Zhou, Linjiong
Language: en
Subject (DDC): DDC::000 Informatik, Informationswissenschaft, allgemeine Werke
DDC::500 Naturwissenschaften und Mathematik
Issue Date: 1-Jan-2021
Document Type: Article
Journal / Series / Working Paper (HSU): Journal of the Meteorological Society of Japan 
Volume: 99
Issue: 3
Page Start: 579
Page End: 602
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 indicate that, broadly speaking, the models produce realistic TCs and remove longstanding issues known from global models such as the deficiency in accurately simulating 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 can open a new chapter in TC prediction, but they need to be improved to unleash their full potential.
Organization Units (connected with the publication): High Performance Computing 
URL: https://api.elsevier.com/content/abstract/scopus_id/85105326102
ISSN: 00261165
DOI: 10.2151/jmsj.2021-029
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