An observation-based global monthly gridded sea surface pCO2 product from 1998 through 2011 and its monthly climatology

by P. Landschützer,1, N. Gruber1, D.C.E. Bakker2, U. Schuster3

1Institute of Biogeochemistry and Pollutant Dynamics, Swiss Federal Institute of Technology (ETH), Zürich, Switzerland
2Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, UK
3College of Life and Environmental Sciences, Hatherly Laboratories, University of Exeter, Exeter, UK

dataDatabase Files        PDF file README Document (PDF format)        PDF file Landschützer et al. 2014 (link to GBC article)       

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Abstract

The observation-based pCO2 fields were created using a 2-step neural network technique. In a first step, the global ocean is divided into 16 biogeochemical provinces using a self organizing map. In a second step, the non-linear relationship between variables known to drive the surface ocean carbon system and gridded observations from the SOCATv2 dataset (Bakker et al. 2014) is reconstructed using a feed- forward neural network within each province separately. The final product is then produced by projecting these driving variables, i.e., surface temperature, chlorophyll, mixed layer depth, and atmospheric CO2 onto oceanic pCO2 using these non-linear relationships. This results in monthly pCO2 fields at 1°x1° resolution covering the entire globe with the exception of the Arctic Ocean and few marginal seas. The air-sea CO2 flux is then computed using a standard bulk formula. More details can be found in Landschützer et al. 2013 and Landschützer et al. 2014.

This product is free to be used. Please cite this data set as:
Landschützer, P., N. Gruber, D.C.E. Bakker, and U. Schuster. 2014. An observation-based global monthly gridded sea surface pCO2 product from 1998 through 2011 and its monthly climatology. http://cdiac.ornl.gov/ftp/oceans/spco2_1998_2011_ETH_SOM-FFN. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, US Department of Energy, Oak Ridge, Tennessee. doi: 10.3334/CDIAC/OTG.SPCO2_1998_2011_ETH_SOM-FFN

Please cite the method as:
Landschützer, P., Gruber, N., Bakker, D. C. E., Schuster, U.: Recent variability of the global ocean carbon sink, Global Biogeochemical Cycles, 28, doi: 10.1002/2014GB004853, 2014


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