globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2014MS000416
Scopus记录号: 2-s2.0-84959457847
论文题名:
A statistical gap-filling method to interpolate global monthly surface ocean carbon dioxide data
作者: Jones S; D; , Le Quéré C; , Rödenbeck C; , Manning A; C; , Olsen A
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 7, 期:4
起始页码: 1554
结束页码: 1575
语种: 英语
英文关键词: Carbon ; Carbon dioxide ; Curve fitting ; Oceanography ; CO2 ; Cubic spline curve ; Interannual variability ; Interpolation method ; Long-term trend ; Ocean ; Radius of influences ; Spatial interpolation ; Interpolation ; annual variation ; carbon dioxide ; database ; fugacity ; global ocean ; interpolation ; statistical analysis
英文摘要: We have developed a statistical gap-filling method adapted to the specific coverage and properties of observed fugacity of surface ocean CO2 (fCO2). We have used this method to interpolate the Surface Ocean CO2 Atlas (SOCAT) v2 database on a 2.5°×2.5° global grid (south of 70°N) for 1985-2011 at monthly resolution. The method combines a spatial interpolation based on a "radius of influence" to determine nearby similar fCO2 values with temporal harmonic and cubic spline curve-fitting, and also fits long-term trends and seasonal cycles. Interannual variability is established using deviations of observations from the fitted trends and seasonal cycles. An uncertainty is computed for all interpolated values based on the spatial and temporal range of the interpolation. Tests of the method using model data show that it performs as well as or better than previous regional interpolation methods, but in addition it provides a near-global and interannual coverage. © 2015. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75952
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Tyndall Centre for Climate Change Research, University of East Anglia, Norwich, United Kingdom; Now at College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom; Max Planck Institute for Biogeochemistry, Jena, Germany; Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom; Geophysical Institute, University of Bergen and Bjerknes, Centre for Climate Research, Bergen, Norway

Recommended Citation:
Jones S,D,, Le Quéré C,et al. A statistical gap-filling method to interpolate global monthly surface ocean carbon dioxide data[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,7(4)
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