DOI: 10.1175/JCLI-D-15-0430.1
Scopus记录号: 2-s2.0-84964574581
论文题名: Full access further exploring and quantifying uncertainties for extended reconstructed sea surface temperature (ERSST) version 4 (v4)
作者: Huang B. ; Thorne P.W. ; Smith T.M. ; Liu W. ; Lawrimore J. ; Banzon V.F. ; Zhang H.-M. ; Peterson T.C. ; Menne M.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期: 9 起始页码: 3119
结束页码: 3142
语种: 英语
Scopus关键词: Atmospheric temperature
; Data handling
; Data processing
; Error analysis
; Estimation
; In situ processing
; Oceanography
; Orthogonal functions
; Quality control
; Sampling
; Submarine geophysics
; Surface properties
; Surface waters
; Ensembles
; Information contents
; Internal parameters
; Optimum interpolation
; Parametric uncertainties
; Sea surface temperature (SST)
; Situ oceanic observations
; Statistical techniques
; Uncertainty analysis
; air-sea interaction
; data processing
; ensemble forecasting
; error analysis
; numerical model
; reconstruction
; sampling
; sea surface temperature
; statistical analysis
; teleconnection
英文摘要: The uncertainty in Extended Reconstructed SST (ERSST) version 4 (v4) is reassessed based upon 1) reconstruction uncertainties and 2) an extended exploration of parametric uncertainties. The reconstruction uncertainty (Ur) results from using a truncated (130) set of empirical orthogonal teleconnection functions (EOTs), which yields an inevitable loss of information content, primarily at a local level. The Ur is assessed based upon 32 ensemble ERSST.v4 analyses with the spatially complete monthly Optimum Interpolation SST product. The parametric uncertainty (Up) results from using different parameter values in quality control, bias adjustments, and EOT definition etc. The Up is assessed using a 1000-member ensemble ERSST.v4 analysis with different combinations of plausible settings of 24 identified internal parameter values. At the scale of an individual grid box, the SST uncertainty varies between 0.3° and 0.7°C and arises from both Ur and Up. On the global scale, the SST uncertainty is substantially smaller (0.03°-0.14°C) and predominantly arises from Up. The SST uncertainties are greatest in periods and locales of data sparseness in the nineteenth century and relatively small after the 1950s. The global uncertainty estimates in ERSST.v4 are broadly consistent with independent estimates arising from the Hadley Centre SST dataset version 3 (HadSST3) and Centennial Observation-Based Estimates of SST version 2 (COBE-SST2). The uncertainty in the internal parameter values in quality control and bias adjustments can impact the SST trends in both the long-term (1901-2014) and "hiatus" (2000-14) periods. © 2016 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/49945
Appears in Collections: 气候变化事实与影响
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作者单位: National Centers for Environmental Information, Asheville, NC, United States; Department of Geography, Maynooth University, Maynooth, Ireland; NOAA/STAR/SCSB and CICS/ESSIC, University of Maryland, College Park, MD, United States; Scripps Institute of Oceanography, University of California, San Diego, La Jolla, CA, United States
Recommended Citation:
Huang B.,Thorne P.W.,Smith T.M.,et al. Full access further exploring and quantifying uncertainties for extended reconstructed sea surface temperature (ERSST) version 4 (v4)[J]. Journal of Climate,2016-01-01,29(9)