Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multi-model ensemble

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; Ullrich, Paul. 2020 Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multi-model ensemble. Journal of Climate, 33 (7). 2557-2583. https://doi.org/10.1175/JCLI-D-19-0639.1

Before downloading, please read NORA policies.

Preview

Text
jclid190639.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (6MB) | Preview

Official URL: http://dx.doi.org/10.1175/JCLI-D-19-0639.1

Abstract/Summary

A multi-model, multi-resolution set of simulations over the period 1950-2014 using a common forcing protocol from CMIP6 HighResMIP have been completed by six modelling groups. Analysis of tropical cyclone performance using two different tracking algorithms suggests that enhanced resolution towards 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 compared to observations when resolution is increased. Changes in the relationships between large-scale drivers of climate variability and tropical cyclone variability in the Atlantic 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 km to 100 km. In the North West Pacific 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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1175/JCLI-D-19-0639.1
ISSN:	0894-8755
Date made live:	11 Feb 2020 08:54 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/526750

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1175/JCLI-D-19-0639.1

ISSN:

0894-8755

Date made live:

11 Feb 2020 08:54 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/526750