DOI: 10.1007/s00382-015-2684-0
Scopus记录号: 2-s2.0-84959093284
论文题名: Model-dependent spatial skill in pseudoproxy experiments testing climate field reconstruction methods for the Common Era
作者: Smerdon J.E. ; Coats S. ; Ault T.R.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期: 2017-05-06 起始页码: 1921
结束页码: 1942
语种: 英语
英文关键词: Climate field reconstruction
; Climate model
; CMIP5
; Last millennium
; PMIP3
; Pseudoproxy
英文摘要: The spatial skill of four climate field reconstruction (CFR) methods is investigated using pseudoproxy experiments (PPEs) based on five last millennium and historical simulations from the Coupled and Paleo Model Intercomparison Projects Phases 5 and 3 (CMIP5/PMIP3) data archives. These simulations are used for the first time in a PPE context, the frameworks of which are constructed to test a recently assembled multiproxy network and multiple CFR techniques. The experiments confirm earlier findings demonstrating consistent methodological performance across the employed methods and spatially dependent reconstruction errors in all of the derived CFRs. Spectral biases in the reconstructed fields demonstrate that CFR methods can alone alter the ratio of spectral power at all locations in the field, independent of whether there are any spectral biases inherent in the underlying pseudoproxy series. The patterns of spectral biases are model dependent and indicate the potential for regions in the derived CFRs to be biased by changes in either low or high-frequency spectral power. CFR methods are also shown to alter the pattern of mean differences in the tropical Pacific during the Medieval Climate Anomaly and the Little Ice Age, with some model experiments indicating that CFR methodologies enhance the statistical likelihood of achieving larger mean differences between independent 300-year periods in the region. All of the characteristics of CFR performance are model dependent, indicating that CFR methods must be evaluated across multiple models and that conclusions from PPEs should be carefully connected to the spatial statistics of real-world climatic fields. © 2015, Springer-Verlag Berlin Heidelberg. 资助项目: NOAA, National Oceanic and Atmospheric Administration
; NOAA, National Oceanic and Atmospheric Administration
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53778
Appears in Collections: 过去全球变化的重建
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作者单位: Lamont-Doherty Earth Observatory of Columbia University, 61 Route 9 W, P.O. Box 1000, Palisades, NY, United States; NASA Goddard Institute for Space Studies, New York, NY, United States; Cornell University, Ithaca, NY, United States
Recommended Citation:
Smerdon J.E.,Coats S.,Ault T.R.. Model-dependent spatial skill in pseudoproxy experiments testing climate field reconstruction methods for the Common Era[J]. Climate Dynamics,2016-01-01,46(2017-05-06)