DOI: 10.1029/2012GL053964
论文题名: Can correcting feature location in simulated mean climate improve agreement on projected changes?
作者: Levy A.A.L. ; Ingram W. ; Jenkinson M. ; Huntingford C. ; Lambert F.H. ; Allen M.
刊名: Geophysical Research Letters
ISSN: 0094-9364
EISSN: 1944-9095
出版年: 2013
卷: 40, 期: 2 起始页码: 354
结束页码: 358
语种: 英语
Scopus关键词: External forcing
; Feature location
; General circulation model
; Historical climatologies
; Persistent errors
; Physically based
; Precipitation climatology
; Seasonal distributions
; Carbon dioxide
; Climatology
; Lasers
; carbon dioxide
; error correction
; general circulation model
; precipitation (climatology)
; seasonality
; spatial analysis
英文摘要: To the extent that deficiencies in GCM simulations of precipitation are due to persistent errors of location and timing, correcting the spatial and seasonal distribution of features would provide a physically based improvement in inter-model agreement on future changes. We use a tool for the analysis of medical images to warp the precipitation climatologies of 14 General Circulation Models (GCMs) closer to a reanalysis of observations, rather than adjusting intensities locally as in conventional bias correction techniques. These warps are then applied to the same GCMs' simulated changes in mean climate under a CO2 quadrupling experiment. We find that the warping process not only makes GCMs' historical climatologies more closely resemble reanalysis but also reduces the disagreement between the models' response to this external forcing. Developing a tool that is tailored for the specific requirements of climate fields may provide further improvement, particularly in combination with local bias correction techniques. © 2013. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874857622&doi=10.1029%2f2012GL053964&partnerID=40&md5=d975a3277563e8ddaf665994b0bed9cf
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6628
Appears in Collections: 气候减缓与适应
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作者单位: Department of Physics, University of Oxford, Oxford, United Kingdom
Recommended Citation:
Levy A.A.L.,Ingram W.,Jenkinson M.,et al. Can correcting feature location in simulated mean climate improve agreement on projected changes?[J]. Geophysical Research Letters,2013-01-01,40(2).