Preprints
https://doi.org/10.5194/essd-2022-244
https://doi.org/10.5194/essd-2022-244
 
22 Jul 2022
22 Jul 2022
Status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

A database of marine macronutrient, temperature and salinity measurements made around the highly productive island of South Georgia, the Scotia Sea and the Antarctic Peninsula between 1980–2009

Michael J. Whitehouse, Katharine R. Hendry, Geraint A. Tarling, Sally E. Thorpe, and Petra ten Hoopen Michael J. Whitehouse et al.
  • British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge CB3 0ET, UK

Abstract. We present a database from substantial collections of macronutrient data made on 20 oceanographic cruises, primarily from around the island of South Georgia and the Scotia Sea. This sector of the Southern Ocean was studied comprehensively during the Discovery Investigations between ~1920 and 1950 and resulted in the hugely influential Discovery Reports. Following this pioneering research period, there was a lull of several decades prior to the British Antarctic Survey’s (BAS) initiation of an offshore biological programme to study the ecology of the South Atlantic sector of the Southern Ocean. These studies began in the late 1970s and have continued until the present day. Between 1980–2009, the programme included macronutrient measurements as part of an integrated ecosystem analysis. In addition to South Georgia and the Scotia Sea, measurements were also made in the Bellingshausen Sea and the waters to the west of the Antarctic Peninsula. Data were collected during all months of the year with the exceptions of May and June and compiled into a database. Vertical profile samples were taken from water bottles while data along transects were collected through monitoring the ship’s non-toxic seawater supply. Nutrients measured were silicate, Si(OH)4-Si; phosphate, PO4-P; nitrate, NO3-N; ammonium NH4-N; and nitrite, NO2-N. Our database includes nutrient data along with contemporaneous temperature and salinity data where available. Further background and supporting information are included for context.

Michael J. Whitehouse et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-244', Anonymous Referee #1, 23 Aug 2022
    • CC1: 'Reply on RC1', Michael J. Whitehouse, 16 Sep 2022
    • AC1: 'Reply on RC1', Petra ten Hoopen, 13 Oct 2022
  • RC2: 'Comment on essd-2022-244', Elizabeth Jones, 23 Aug 2022
    • CC2: 'Reply on RC2', Michael J. Whitehouse, 16 Sep 2022
    • AC2: 'Reply on RC2', Petra ten Hoopen, 13 Oct 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-244', Anonymous Referee #1, 23 Aug 2022
    • CC1: 'Reply on RC1', Michael J. Whitehouse, 16 Sep 2022
    • AC1: 'Reply on RC1', Petra ten Hoopen, 13 Oct 2022
  • RC2: 'Comment on essd-2022-244', Elizabeth Jones, 23 Aug 2022
    • CC2: 'Reply on RC2', Michael J. Whitehouse, 16 Sep 2022
    • AC2: 'Reply on RC2', Petra ten Hoopen, 13 Oct 2022

Michael J. Whitehouse et al.

Data sets

Macronutrient, temperature and salinity measurements made around the island of South Georgia and the wider Scotia Sea, the Antarctic Peninsula, and in the Bellingshausen Sea between 1980 and 2009 Whitehouse, M. J., Hendry, K. R., Tarling, G. A., Thorpe, S. E., and ten Hoopen, P. https://doi.org/10.5285/4014370F-8EB2-492B-A5F3-6DC68BF12C1E

Michael J. Whitehouse et al.

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Short summary
We present a database of Southern Ocean macronutrient, temperature and salinity measurements collected on 20 oceanographic cruises between 1980 and 2009. Vertical profiles and underway surface measurements were collected year-round as part of an integrated ecosystem study. Our data provide a novel view of biogeochemical cycling in biologically productive regions across a critical period in recent climate history, and will contribute to a better understanding of the drivers of primary production.