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DOI10.1029/2019JD032184
Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models
Bador M.; Boé J.; Terray L.; Alexander L.V.; Baker A.; Bellucci A.; Haarsma R.; Koenigk T.; Moine M.-P.; Lohmann K.; Putrasahan D.A.; Roberts C.; Roberts M.; Scoccimarro E.; Schiemann R.; Seddon J.; Senan R.; Valcke S.; Vanniere B.
发表日期2020
ISSN2169897X
卷号125期号:13
英文摘要Finer grids in global climate models could lead to an improvement in the simulation of precipitation extremes. We assess the influence on model performance of increasing spatial resolution by evaluating pairs of high- and low-resolution forced atmospheric simulations from six global climate models (generally the latest CMIP6 version) on a common 1° × 1° grid. The differences in tuning between the lower and higher resolution versions are as limited as possible, which allows the influence of higher resolution to be assessed exclusively. We focus on the 1985–2014 climatology of annual extremes of daily precipitation over global land, and models are compared to observations from different sources (i.e., in situ-based and satellite-based) to enable consideration of observational uncertainty. Finally, we address regional features of model performance based on four indices characterizing different aspects of precipitation extremes. Our analysis highlights good agreement between models that precipitation extremes are more intense at higher resolution. We find that the spread among observations is substantial and can be as large as intermodel differences, which makes the quantitative evaluation of model performance difficult. However, consistently across the four precipitation extremes indices that we investigate, models often show lower skill at higher resolution compared to their corresponding lower resolution version. Our findings suggest that increasing spatial resolution alone is not sufficient to obtain a systematic improvement in the simulation of precipitation extremes, and other improvements (e.g., physics and tuning) may be required. ©2020. The Authors.
英文关键词global climate models for CMIP6 and HighResMIP; multimodel and multiproduct of observations framework; performance of the models; precipitation extremes; sensitivity to atmospheric spatial resolution
语种英语
来源期刊Journal of Geophysical Research: Atmospheres
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/185914
作者单位Climate Change Research Centre, UNSW Sydney, Sydney, NSW, Australia; ARC Centre of Excellence for Climate Extremes, UNSW Sydney, Sydney, NSW, Australia; CECI, Université de Toulouse, CERFACS/CNRS, Toulouse, France; Department of Meteorology, University of Reading, Reading, United Kingdom; Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, Italy; Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands; Rossby Centre, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden; Max-Planck-Institut für Meteorologie, The Ocean in the Earth System Department, Hamburg, Germany; European Centre for Medium Range Weather Forecasting (ECMWF), Reading, United Kingdom; Met Office, Exeter, United Kingdom; Department of Meteorology, NCAS Climate, University of Reading, Reading, United Kingdom
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Bador M.,Boé J.,Terray L.,et al. Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models[J],2020,125(13).
APA Bador M..,Boé J..,Terray L..,Alexander L.V..,Baker A..,...&Vanniere B..(2020).Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models.Journal of Geophysical Research: Atmospheres,125(13).
MLA Bador M.,et al."Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models".Journal of Geophysical Research: Atmospheres 125.13(2020).
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