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Tropical Cyclones in Global Storm-Resolving ModelsRecent 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.
Document ID
20205004283
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Falko Judt
(National Center for Atmospheric Research Boulder, Colorado, United States)
Daniel Klocke
(German Meteorological Service Offenbach, Germany)
Rosimar Rios-Berrios
(National Center for Atmospheric Research Boulder, Colorado, United States)
Benoit Vanniere
(University of Reading Reading, United Kingdom)
Florian Ziemen
(German Climate Computing Centre Hamburg, Germany)
Ludovic Auger
(Centre National de Recherches Météorologiques Toulouse, France)
Joachim Biercamp
(German Climate Computing Centre Hamburg, Germany)
Christopher Bretherton
(University of Washington Seattle, Washington, United States)
Xi Chen
(Princeton University Princeton, New Jersey, United States)
Peter Duben
(European Centre for Medium-Range Weather Forecasts Reading, United Kingdom)
Cathy Hohenegger
(Max Planck Institute for Meteorology Hamburg, Germany)
Marat Khairoutdinov
(Stony Brook University Stony Brook, New York, United States)
Chihiro Kodama
(Japan Agency for Marine-Earth Science and Technology Yokosuka, Japan)
Luis Kornblueh
(Max Planck Institute for Meteorology Hamburg, Germany)
Shian-Jiann Lin
(Princeton University Princeton, New Jersey, United States)
Masuo Nakano
(Japan Agency for Marine-Earth Science and Technology Yokosuka, Japan)
Philipp Neumann
(Helmut Schmidt University Hamburg, Hamburg, Germany)
William Putman
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Niklas Rober
(German Climate Computing Centre Hamburg, Germany)
Malcolm Roberts
(German Climate Computing Centre Hamburg, Germany)
Masaki Satoh
(University of Tokyo Tokyo, Japan)
Ryosuke Shibuya
(University of Tokyo Tokyo, Japan)
Bjorn Stevens
(Max Planck Institute for Meteorology Hamburg, Germany)
Pier Luigi Vidale
(University of Reading Reading, United Kingdom)
Nils Wedi
(European Centre for Medium-Range Weather Forecasts Reading, United Kingdom)
Linjiong Zhou
(Princeton University Princeton, New Jersey, United States)
Date Acquired
July 9, 2020
Publication Date
June 10, 2021
Publication Information
Publication: Journal of the Meteorological Society of Japan
Publisher: Meteorological Society of Japan
Volume: 99
Issue: 3
Issue Publication Date: January 1, 2021
ISSN: 0026-1165
e-ISSN: 2186-9057
Subject Category
Geosciences (General)
Funding Number(s)
WBS: 281945.02.04.03.08
CONTRACT_GRANT: NSF 1852977
CONTRACT_GRANT: EUH 2020 675191
CONTRACT_GRANT: EUH 2020 823988
CONTRACT_GRANT: EU H2020 PRI674 MAVERA 641727
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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