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Recommendations for autonomous underway pCO2 measuring systems and data-reduction routines
Pierrot, D.; Neill, C.; Sullivan, K.; Castle, R.; Wanninkhof, R.; Lüger, H.; Johannessen, T.; Olsen, A.; Feely, R.A.; Cosca, C.E. (2009). Recommendations for autonomous underway pCO2 measuring systems and data-reduction routines. Deep-Sea Res., Part II, Top. Stud. Oceanogr. 56(8-10): 512-522. https://dx.doi.org/10.1016/j.dsr2.2008.12.005
In: Deep-Sea Research, Part II. Topical Studies in Oceanography. Pergamon: Oxford. ISSN 0967-0645; e-ISSN 1879-0100, more
Peer reviewed article  

Available in  Authors 

Keywords
    Autonomous
    Chemical compounds > Carbon compounds > Atmospheric gases > Carbon dioxide
    Data processing > Data reduction
    Fugacity
Author keywords
    pCO2; Underway system;

Authors  Top 
  • Pierrot, D.
  • Neill, C.
  • Sullivan, K.
  • Castle, R.
  • Wanninkhof, R.
  • Lüger, H.
  • Johannessen, T.
  • Olsen, A.
  • Feely, R.A.
  • Cosca, C.E.

Abstract
    In order to facilitate the collection of high quality and uniform surface water pCO2 data, an underway pCO2 instrument has been designed based on community input and is now commercially available. Along with instrumentation, agreements were reached on data reduction and quality control that can be easily applied to data from these systems by using custom-made freeware. This new automated underway pCO2 measuring system is designed to be accurate to within 0.1 μatm for atmospheric pCO2 measurements and to within 2 μatm for seawater pCO2, targeted by the scientific community to constrain the regional air–sea CO2 fluxes to 0.2 Pg C year−1. The procedure to properly reduce the underway pCO2 data and perform the steps necessary for calculation of the fugacity of CO2 from the measurements is described. This system is now widely used by the scientific community on many different types of ships. Combined with the recommended data-reduction procedures, it will facilitate producing data sets that will significantly decrease the uncertainty currently present in estimates of air–sea CO2 fluxes.

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