期刊
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
卷 7, 期 4, 页码 1554-1575出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/2014MS000416
关键词
ocean; CO2; interpolation
资金
- International Ocean Carbon Coordination Project (IOCCP)
- Surface Ocean Lower Atmosphere Study (SOLAS)
- Integrated Marine Biogeochemistry and Ecosystem Research program (IMBER)
- NERC [NE/F005733/1]
- Centre for Climate Dynamics at the Bjerknes Centre
- Norwegian Research Council project SNACS [229752]
- EU [H2020, 264879, 283080]
- NERC [NE/F005733/1] Funding Source: UKRI
- Natural Environment Research Council [NE/F005733/1] Funding Source: researchfish
We have developed a statistical gap-filling method adapted to the specific coverage and properties of observed fugacity of surface ocean CO2 (fCO(2)). We have used this method to interpolate the Surface Ocean CO2 Atlas (SOCAT) v2 database on a 2.5 degrees x2.5 degrees global grid (south of 70 degrees N) for 1985-2011 at monthly resolution. The method combines a spatial interpolation based on a radius of influence to determine nearby similar fCO(2) 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.
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