An updated observation-based global monthly gridded sea surface pCO₂ and air-sea CO₂ flux product from 1982 through 2015 and its monthly climatology

by P. Landschützer,¹, N. Gruber², D.C.E. Bakker³

¹Max Planck Institute for Meteorology, Hamburg Germany

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

Database Files        README Document (PDF format)        Landschützer et al. 2016 (link to Global Biogeochemical Cycles article)       

Abstract

The observation-based pCO₂ fields were created using a 2-step neural network method extensively described and validated in Landschützer et al. 2013, 2014, 2016. The method first clusters the global ocean into biogeochemical provinces and in a second step reconstructs the non-liner relationship between CO₂ driver variables and observations from the 4th release of the Surface Ocean CO₂ Atlas (SOCATv4, Bakker et al. 2016). This file contains the resulting monthly pCO2 fields at 1°x1° resolution covering the global ocean with the exception of the Arctic Ocean and few marginal seas. The air-sea CO₂ fluxes are computed from the air-sea CO₂ partial pressure difference and a bulk gas transfer formulation following Landschützer et al. 2013, 2014, 2016. Furthermore, the monthly climatology is created from the monthly average of the period 1985-2015.

This product is free to be used. Please cite this data set as:
Landschützer, P., N. Gruber and D.C.E. Bakker (2017). An updated observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 through 2015 and its monthly climatology (NCEI Accession 0160558). Version 2.2. NOAA National Centers for Environmental Information. Dataset. [2017-07-11]

Please cite the method as:
Landschützer, P., Gruber, N., Bakker, D. C. E.: Decadal variations and trends of the global ocean carbon sink, Global Biogeochemical Cycles, 30, doi:10.1002/2015GB005359, 2016