Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multi-model ensemble
Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multi-model ensemble
A multimodel, multiresolution set of simulations over the period 1950-2014 using a common forcing protocol from CMIP6 HighResMIP have been completed by six modeling groups. Analysis of tropical cyclone performance using two different tracking algorithms suggests that enhanced resolution toward 25 km typically leads to more frequent and stronger tropical cyclones, together with improvements in spatial distribution and storm structure. Both of these factors reduce typical GCM biases seen at lower resolution. Using single ensemble members of each model, there is little evidence of systematic improvement in interannual variability in either storm frequency or accumulated cyclone energy as compared with observations when resolution is increased. Changes in the relationships between large-scale drivers of climate variability and tropical cyclone variability in the Atlantic Ocean are also not robust to model resolution. However, using a larger ensemble of simulations (of up to 14 members) with one model at different resolutions does show evidence of increased skill at higher resolution. The ensemble mean correlation of Atlantic interannual tropical cyclone variability increases from ∼0.5 to ∼0.65 when resolution increases from 250 to 100 km. In the northwestern Pacific Ocean the skill keeps increasing with 50-km resolution to 0.7. These calculations also suggest that more than six members are required to adequately distinguish the impact of resolution within the forced signal from the weather noise.
2557-2583
Roberts, Malcolm John
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Camp, Joanne
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Seddon, Jon
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Vidale, Pier Luigi
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Hodges, Kevin
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Vanniere, Benoit
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Mecking, Jenny
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Haarsma, Rein
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Bellucci, Alessio
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Scoccimarro, Enrico
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Caron, Louis-philippe
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Chauvin, Fabrice
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Terray, Laurent
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Valcke, Sophie
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Moine, Marie-pierre
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Putrasahan, Dian
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Roberts, Christopher
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Senan, Retish
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Zarzycki, Colin
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Ullrich, Paul
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1 April 2020
Roberts, Malcolm John
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Camp, Joanne
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Seddon, Jon
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Vidale, Pier Luigi
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Hodges, Kevin
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Vanniere, Benoit
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Mecking, Jenny
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Haarsma, Rein
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Bellucci, Alessio
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Scoccimarro, Enrico
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Caron, Louis-philippe
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Chauvin, Fabrice
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Terray, Laurent
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Valcke, Sophie
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Moine, Marie-pierre
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Putrasahan, Dian
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Roberts, Christopher
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Senan, Retish
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Zarzycki, Colin
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Ullrich, Paul
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Roberts, Malcolm John, Camp, Joanne, Seddon, Jon, Vidale, Pier Luigi, Hodges, Kevin, Vanniere, Benoit, Mecking, Jenny, Haarsma, Rein, Bellucci, Alessio, Scoccimarro, Enrico, Caron, Louis-philippe, Chauvin, Fabrice, Terray, Laurent, Valcke, Sophie, Moine, Marie-pierre, Putrasahan, Dian, Roberts, Christopher, Senan, Retish, Zarzycki, Colin and Ullrich, Paul
(2020)
Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multi-model ensemble.
Journal of Climate, 33 (7), .
(doi:10.1175/JCLI-D-19-0639.1).
Abstract
A multimodel, multiresolution set of simulations over the period 1950-2014 using a common forcing protocol from CMIP6 HighResMIP have been completed by six modeling groups. Analysis of tropical cyclone performance using two different tracking algorithms suggests that enhanced resolution toward 25 km typically leads to more frequent and stronger tropical cyclones, together with improvements in spatial distribution and storm structure. Both of these factors reduce typical GCM biases seen at lower resolution. Using single ensemble members of each model, there is little evidence of systematic improvement in interannual variability in either storm frequency or accumulated cyclone energy as compared with observations when resolution is increased. Changes in the relationships between large-scale drivers of climate variability and tropical cyclone variability in the Atlantic Ocean are also not robust to model resolution. However, using a larger ensemble of simulations (of up to 14 members) with one model at different resolutions does show evidence of increased skill at higher resolution. The ensemble mean correlation of Atlantic interannual tropical cyclone variability increases from ∼0.5 to ∼0.65 when resolution increases from 250 to 100 km. In the northwestern Pacific Ocean the skill keeps increasing with 50-km resolution to 0.7. These calculations also suggest that more than six members are required to adequately distinguish the impact of resolution within the forced signal from the weather noise.
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e-pub ahead of print date: 25 January 2020
Published date: 1 April 2020
Additional Information:
Funding Information:
Acknowledgments. Authors MR, JS, PLV, KH, BV, RH, AB, ES, LPC, LT, CR, RS, and DP acknowledge funding from the PRIMAVERA project, funded by the
Funding Information:
European Union’s Horizon 2020 programme under Grant Agreement 641727. Author JM acknowledges funding from the Blue-Action project, funded by the European Union’s Horizon 2020 programme under Grant Agreement 727852. Authors MR and JC acknowledge support from the U.K.–China Research and Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund. Funding for authors PU and CZ to support use of the TempestExtremes suite was provided under NASA award NNX16AG62G and the U.S. Department of Energy Office of Science award DE-SC0016605. Many thanks are given to the editor and three anonymous reviewers for their comments, which have greatly strengthened this paper.
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© 2020 American Meteorological Society.
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Local EPrints ID: 439282
URI: http://eprints.soton.ac.uk/id/eprint/439282
ISSN: 0894-8755
PURE UUID: ec30d9e4-6aae-4dbe-a16a-ebb755ba70cf
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Date deposited: 07 Apr 2020 16:36
Last modified: 16 Mar 2024 06:28
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Contributors
Author:
Malcolm John Roberts
Author:
Joanne Camp
Author:
Jon Seddon
Author:
Pier Luigi Vidale
Author:
Kevin Hodges
Author:
Benoit Vanniere
Author:
Jenny Mecking
Author:
Rein Haarsma
Author:
Alessio Bellucci
Author:
Enrico Scoccimarro
Author:
Louis-philippe Caron
Author:
Fabrice Chauvin
Author:
Laurent Terray
Author:
Sophie Valcke
Author:
Marie-pierre Moine
Author:
Dian Putrasahan
Author:
Christopher Roberts
Author:
Retish Senan
Author:
Colin Zarzycki
Author:
Paul Ullrich
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