Landschuetzerv2016 SOM-FFN


The observation-based pCO2 fields were created using a 2-step neural network method extensively described and validated in Landschuetzer 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 x 1 deg 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 Landschuetzer et al. 2013, 2014, 2016. Furthermore, the monthly climatology is created from the monthly average of the period 1985-2015.


SOM-FFN Website

Release Policy

This product is free to be used. Please cite the data set as: Landschuetzer, 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]


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MPAS-Analysis Tasks