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

Malcolm John Roberts, Joanne Camp, Jon Seddon, Pier Luigi Vidale, Kevin Hodges, Benoit Vanniere, Jenny Mecking, Rein Haarsma, Alessio Bellucci, Enrico Scoccimarro, Louis Philippe Caron, Fabrice Chauvin, Laurent Terray, Sophie Valcke, Marie Pierre Moine, Dian Putrasahan, Christopher Roberts, Retish Senan, Colin Zarzycki, Paul Ullrich

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)2557-2583
Number of pages27
JournalJournal of Climate
Volume33
Issue number7
DOIs
StatePublished - Apr 1 2020

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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