Preprints
https://doi.org/10.5194/os-2021-17
https://doi.org/10.5194/os-2021-17

  10 Mar 2021

10 Mar 2021

Review status: a revised version of this preprint was accepted for the journal OS and is expected to appear here in due course.

Observation System Simulation Experiments in the Atlantic Ocean for enhanced surface ocean pCO2 reconstructions

Anna Denvil-Sommer1,2, Marion Gehlen2, and Mathieu Vrac2 Anna Denvil-Sommer et al.
  • 1School of Environmental Sciences, University of East Anglia, Norwich, UK
  • 2Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Institut Pierre Simon Laplace (IPSL), CNRS/CEA/UVSQ/Univ. Paris-Saclay, Orme des Merisiers, Gif Sur Yvette, 91191, France

Abstract. To derive an optimal observation system for surface ocean pCO2 in the Atlantic Ocean and the Atlantic sector of the Southern Ocean eleven Observation System Simulation Experiments (OSSEs) were completed. Each OSSE is a Feed-Forward Neural Network (FFNN) that is based on a different data distribution and provides ocean surface pCO2 for the period 2008–2010 with a 5 day time interval. Based on the geographical and time positions from three observational platforms, volunteering observing ships (VOS), Argo floats and OceanSITES moorings, pseudo-observations were constructed using the outputs from an online-coupled physical-biogeochemical global ocean model with 0.25° nominal resolution. The aim of this work was to find an optimal spatial distribution of observations to supplement the widely used Surface Ocean CO2 Atlas (SOCAT) and to improve the accuracy of ocean surface pCO2 reconstructions. OSSEs showed that the additional data from mooring stations and an improved coverage of the Southern Hemisphere with biogeochemical ARGO floats corresponding to least 25 % of the density of active floats (2008–2010) (OSSE 10) would significantly improve the pCO2 reconstruction and reduce the bias of derived estimates of sea-air CO2 fluxes by 74 % compared to ocean model outputs.

Anna Denvil-Sommer et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on os-2021-17', Anonymous Referee #1, 05 Apr 2021
    • AC1: 'Reply on RC1', Anna Denvil-Sommer, 02 Jun 2021
  • RC2: 'Review of “Observation System Simulation Experiments in the Atlantic Ocean for enhanced surface ocean pCO2 reconstructions” by Denvil-Sommer et al.', Luke Gregor, 15 Apr 2021
    • AC2: 'Reply on RC2', Anna Denvil-Sommer, 02 Jun 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on os-2021-17', Anonymous Referee #1, 05 Apr 2021
    • AC1: 'Reply on RC1', Anna Denvil-Sommer, 02 Jun 2021
  • RC2: 'Review of “Observation System Simulation Experiments in the Atlantic Ocean for enhanced surface ocean pCO2 reconstructions” by Denvil-Sommer et al.', Luke Gregor, 15 Apr 2021
    • AC2: 'Reply on RC2', Anna Denvil-Sommer, 02 Jun 2021

Anna Denvil-Sommer et al.

Anna Denvil-Sommer et al.

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Short summary
In this work we explored design options for a future Atlantic scale observational network enabling the release of carbon system estimates by combining data streams from various platforms. We used outputs of a physical-biogeochemical global ocean model at sites of real-word observations to reconstruct surface ocean pCO2 by applying a non-linear feed forward neural network. The results provide an important information for future BGC-Argo deployment: important regions, number of floats.