DOI: 10.1175/JCLI-D-14-00802.1
Scopus记录号: 2-s2.0-84947793181
论文题名: Paleoclimate sampling as a sensor placement problem
作者: Comboul M. ; Emile-Geay J. ; Hakim G.J. ; Evans M.N.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 19 起始页码: 7717
结束页码: 7740
语种: 英语
Scopus关键词: Algorithms
; Atmospheric pressure
; Atmospheric temperature
; Design
; Optimization
; Sampling
; Surface waters
; Data assimilation
; Last millenniums
; Observational errors
; Paleoclimates
; Sea surface salinity
; Sea surface temperature (SST)
; Southern oscillation
; Statistical techniques
; Oceanography
; algorithm
; coral
; optimization
; oxygen isotope
; paleoclimate
; proxy climate record
; sampling
; sensor
; statistical analysis
; Anthozoa
英文摘要: This study formulates the design of optimal observing networks for past surface climate conditions as the solution to a data assimilation problem, given a realistic proxy systemmodel (PSM), paleoclimate observational uncertainties, and a network of current and proposed observing sites. Themethod is illustrated with the design of optimal networks of coral δ18O records, chosen among candidate sites, and used to jointly infer sea surface temperature (SST) and sea surface salinity (SSS) fields from the Community Climate SystemModel, version 4, last millennium simulation over the 1850-2005 period. It is shown that an existing paleo-observing network accounts for approximately 20%of the SST variance, and that adding 25 to 100 optimal pseudocoral sites would boost this fraction to 35%-52%. Characterizing the SST variance alone, or jointly with the SSS, leads to similar optimal networks, which justifies using coral δ18O records for SST reconstructions. In contrast, the network design for reconstructing SSS alone is fundamentally different, emphasizing the hydroclimatic centers of action of El Niño-Southern Oscillation. In all cases, network design depends strongly on the amplitude of the observational error, so replicatesmay bemore beneficial than the exploration of new sites; these replicates tend to be chosen where proxies are already informative of the large-scale climate field(s). Finally, extensions to other types of paleoclimatic observations are discussed, and a path to operationalization is outlined. © 2015 American Meteorological Society. 资助项目: NSF, National Oceanic and Atmospheric Administration
; NOAA, National Oceanic and Atmospheric Administration
; NOAA, National Oceanic and Atmospheric Administration
; NOAA, National Oceanic and Atmospheric Administration
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50912
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: University of Southern California, Los Angeles, CA, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Department of Geology and Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, MD, United States
Recommended Citation:
Comboul M.,Emile-Geay J.,Hakim G.J.,et al. Paleoclimate sampling as a sensor placement problem[J]. Journal of Climate,2015-01-01,28(19)