气候变化领域集成服务门户(CCPortal): Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multimodel ensemble

CCPortal

DOI	10.1175/JCLI-D-19-0639.1
	Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multimodel ensemble
	Roberts M.J.; Camp J.; Seddon J.; Vidale P.L.; Hodges K.; Vanniere B.; Mecking J.; Haarsma R.; Bellucci A.; Scoccimarro E.; Caron L.-P.; Chauvin F.; Terray L.; Valcke S.; Moine M.-P.; Putrasahan D.; Roberts C.; Senan R.; Zarzycki C.; Ullrich P.
发表日期	2020
ISSN	0894-8755
起始页码	2557
结束页码	2583
卷号	33 期号:7
英文摘要	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. © 2020 American Meteorological Society.
英文关键词	Climate models; Storms; Tropics; Accumulated cyclone energies; Climate variability; Different resolutions; Enhanced resolutions; Interannual variability; Multi-model ensemble; Resolution increase; Tracking algorithm; Hurricanes; algorithm; annual variation; climate modeling; CMIP; computer simulation; resolution; spatial distribution; tropical cyclone; Atlantic Ocean
语种	英语
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/171383
作者单位	Met Office, Exeter, United Kingdom; National Centre for Atmospheric Science, University of Reading, Reading, United Kingdom; University of Southampton, Southampton, United Kingdom; Koninklijk Nederlands Meteorologisch Instituut, De Bilt, Netherlands; Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna, Italy; Barcelona Supercomputing Center, Centro Nacional de Supercomputación, Barcelona, Spain; Centre National de Recherches Météorologiques, Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse, France; CECI, Université de Toulouse, CERFACS/CNRS, Toulouse, France; Max Planck Gesellschaft zur Foerderung der Wissenschaften E.V. (MPI-M), Hamburg, Germany; European Centre for Medium Range Weather Forecasting, Reading, United Kingdom; Pennsylvania State University, University Park, PA, United States; University of California, Davis, Davis, CA, United States; National Oceanography Centre, Southampton, United Kingdom
推荐引用方式 GB/T 7714	Roberts M.J.,Camp J.,Seddon J.,et al. Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multimodel ensemble[J],2020,33(7).
APA	Roberts M.J..,Camp J..,Seddon J..,Vidale P.L..,Hodges K..,...&Ullrich P..(2020).Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multimodel ensemble.Journal of Climate,33(7).
MLA	Roberts M.J.,et al."Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multimodel ensemble".Journal of Climate 33.7(2020).