Tropical cyclones in global storm-resolving models

Falko Judt; Daniel Klocke; Rosimar Rios-Berrios; Benoit Vanniere; Florian Ziemen; Ludovic Auger; Joachim Biercamp; Christopher Bretherton; Xi Chen; Peter Düben; Cathy Hohenegger; Marat Khairoutdinov; Chihiro Kodama; Luis Kornblueh; Shian Jiann Lin; Masuo Nakano; Philipp Neumann; William Putman; Niklas Röber; Malcolm Roberts; Masaki Satoh; Ryosuke Shibuya; Bjorn Stevens; Pier Luigi Vidale; Nils Wedi; Linjiong Zhou

doi:10.2151/jmsj.2021-029

Tropical cyclones in global storm-resolving models

Falko Judt, Daniel Klocke, Rosimar Rios-Berrios, Benoit Vanniere, Florian Ziemen, Ludovic Auger, Joachim Biercamp, Christopher Bretherton, Xi Chen, Peter Düben, Cathy Hohenegger, Marat Khairoutdinov, Chihiro Kodama, Luis Kornblueh, Shian Jiann Lin, Masuo Nakano, Philipp Neumann, William Putman, Niklas Röber, Malcolm RobertsMasaki Satoh, Ryosuke Shibuya, Bjorn Stevens, Pier Luigi Vidale, Nils Wedi, Linjiong Zhou

Research output: Contribution to journal › Article › peer-review

59 Scopus citations

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.

Original language	English
Pages (from-to)	579-602
Number of pages	24
Journal	Journal of the Meteorological Society of Japan
Volume	99
Issue number	3
DOIs	https://doi.org/10.2151/jmsj.2021-029
State	Published - 2021

Keywords

Global cloud rsolving simulation
Modl valuation
Numrical modl
Tropical cyclon

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Judt, F., Klocke, D., Rios-Berrios, R., Vanniere, B., Ziemen, F., Auger, L., Biercamp, J., Bretherton, C., Chen, X., Düben, P., Hohenegger, C., Khairoutdinov, M., Kodama, C., Kornblueh, L., Lin, S. J., Nakano, M., Neumann, P., Putman, W., Röber, N., ... 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

@article{d516cf3526154b42a30653cc5dc7467b,

title = "Tropical cyclones in global storm-resolving models",

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.",

keywords = "Global cloud rsolving simulation, Modl valuation, Numrical modl, Tropical cyclon",

author = "Falko Judt and Daniel Klocke and Rosimar Rios-Berrios and Benoit Vanniere and Florian Ziemen and Ludovic Auger and Joachim Biercamp and Christopher Bretherton and Xi Chen and Peter D{\"u}ben and Cathy Hohenegger and Marat Khairoutdinov and Chihiro Kodama and Luis Kornblueh and Lin, \{Shian Jiann\} and Masuo Nakano and Philipp Neumann and William Putman and Niklas R{\"o}ber and Malcolm Roberts and Masaki Satoh and Ryosuke Shibuya and Bjorn Stevens and Vidale, \{Pier Luigi\} and Nils Wedi and Linjiong Zhou",

note = "Publisher Copyright: {\textcopyright}The Author(s) 2021.",

year = "2021",

doi = "10.2151/jmsj.2021-029",

language = "English",

volume = "99",

pages = "579--602",

journal = "Journal of the Meteorological Society of Japan",

issn = "0026-1165",

publisher = "Meteorological Society of Japan",

number = "3",

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Judt, F, Klocke, D, Rios-Berrios, R, Vanniere, B, Ziemen, F, Auger, L, Biercamp, J, Bretherton, C, Chen, X, Düben, P, Hohenegger, C, Khairoutdinov, M, Kodama, C, Kornblueh, L, Lin, SJ, Nakano, M, Neumann, P, Putman, W, Röber, N, Roberts, M, Satoh, M, Shibuya, R, Stevens, B, Vidale, PL, Wedi, N & Zhou, L 2021, 'Tropical cyclones in global storm-resolving models', Journal of the Meteorological Society of Japan, vol. 99, no. 3, pp. 579-602. https://doi.org/10.2151/jmsj.2021-029

TY - JOUR

T1 - Tropical cyclones in global storm-resolving models

AU - Judt, Falko

AU - Klocke, Daniel

AU - Rios-Berrios, Rosimar

AU - Vanniere, Benoit

AU - Ziemen, Florian

AU - Auger, Ludovic

AU - Biercamp, Joachim

AU - Bretherton, Christopher

AU - Chen, Xi

AU - Düben, Peter

AU - Hohenegger, Cathy

AU - Khairoutdinov, Marat

AU - Kodama, Chihiro

AU - Kornblueh, Luis

AU - Lin, Shian Jiann

AU - Nakano, Masuo

AU - Neumann, Philipp

AU - Putman, William

AU - Röber, Niklas

AU - Roberts, Malcolm

AU - Satoh, Masaki

AU - Shibuya, Ryosuke

AU - Stevens, Bjorn

AU - Vidale, Pier Luigi

AU - Wedi, Nils

AU - Zhou, Linjiong

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Global cloud rsolving simulation

KW - Modl valuation

KW - Numrical modl

KW - Tropical cyclon

UR - https://www.scopus.com/pages/publications/85105326102

U2 - 10.2151/jmsj.2021-029

DO - 10.2151/jmsj.2021-029

M3 - Article

AN - SCOPUS:85105326102

SN - 0026-1165

VL - 99

SP - 579

EP - 602

JO - Journal of the Meteorological Society of Japan

JF - Journal of the Meteorological Society of Japan

IS - 3

ER -

Tropical cyclones in global storm-resolving models

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Keywords

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