Impact of Model Resolution on Tropical Cyclone Simulation Using the HighResMIP–PRIMAVERA Multimodel 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...

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Veröffentlicht in:Journal of climate 2020-04, Vol.33 (7), p.2557-2583
Hauptverfasser: 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
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container_end_page 2583
container_issue 7
container_start_page 2557
container_title Journal of climate
container_volume 33
creator 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
description 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.
doi_str_mv 10.1175/jcli-d-19-0639.1
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source American Meteorological Society; JSTOR Archive Collection A-Z Listing; EZB-FREE-00999 freely available EZB journals
subjects Algorithms
Atmosphere
Climate
Climate models
Climate variability
Climatology
Computer simulation
Cyclones
Datasets
Design
Earth Sciences
Energy
ENVIRONMENTAL SCIENCES
Extreme events
Hurricanes
Interannual variability
Meteorology & Atmospheric Sciences
Model evaluation/performance
Oceans
Optical properties
Resolution
Sciences of the Universe
Simulation
Spatial distribution
SPECIAL U.S. CLIVAR Hurricanes COLLECTION
Storm structure
Storms
Tracking
Tropical climate
Tropical climates
Tropical cyclones
Variability
Weather
title Impact of Model Resolution on Tropical Cyclone Simulation Using the HighResMIP–PRIMAVERA Multimodel Ensemble
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