DOI: 10.1175/JCLI-D-16-0026.1
Scopus记录号: 2-s2.0-85000910651
论文题名: Moving beyond the total sea ice extent in gauging model biases
作者: Ivanova D.P. ; Gleckler P.J. ; Taylor K.E. ; Durack P.J. ; Marvel K.D.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期: 24 起始页码: 8965
结束页码: 8987
语种: 英语
Scopus关键词: Error compensation
; Errors
; Ice
; Sea ice
; Coupled models
; General circulation model
; Model comparison
; Model errors
; Model evaluation/performance
; Climate models
英文摘要: Reproducing characteristics of observed sea ice extent remains an important climate modeling challenge. This study describes several approaches to improve how model biases in total sea ice distribution are quantified, and applies them to historically forced simulations contributed to phase 5 of the Coupled Model Intercomparison Project (CMIP5). The quantity of hemispheric total sea ice area, or some measure of its equatorward extent, is often used to evaluate model performance. A new approach is introduced that investigates additional details about the structure of model errors, with an aim to reduce the potential impact of compensating errors when gauging differences between simulated and observed sea ice. Using multiple observational datasets, several new methods are applied to evaluate the climatological spatial distribution and the annual cycle of sea ice cover in 41 CMIP5 models. It is shown that in some models, error compensation can be substantial, for example resulting from too much sea ice in one region and too little in another. Error compensation tends to be larger in models that agree more closely with the observed total sea ice area, which may result from model tuning. The results herein suggest that consideration of only the total hemispheric sea ice area or extent can be misleading when quantitatively comparing how well models agree with observations. Further work is needed to fully develop robust methods to holistically evaluate the ability of models to capture the finescale structure of sea ice characteristics; however, the "sector scale" metric used here aids in reducing the impact of compensating errors in hemispheric integrals. © 2016 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50060
Appears in Collections: 气候变化事实与影响
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作者单位: Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA, United States; Nansen Environmental and Remote Sensing Center, Bergen, Norway; Bjerknes Centre for Climate Research, Bergen, Norway; NASA Goddard Institute for Space Studies, Columbia University, New York, NY, United States
Recommended Citation:
Ivanova D.P.,Gleckler P.J.,Taylor K.E.,et al. Moving beyond the total sea ice extent in gauging model biases[J]. Journal of Climate,2016-01-01,29(24)