4.7 Article Data Paper

GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen

Journal

SCIENTIFIC DATA
Volume 9, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01212-w

Keywords

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Funding

  1. Earth Systems and Climate Change Hub of the Australian Government's National Environmental Science Program
  2. CSIRO's Decadal Climate Forecasting Project
  3. NSF [OCE-1437015]
  4. CLIVAR
  5. Carbon Hydrographic Data Office through NSF
  6. NOAA [OCE 1829814, NA15OAR4320071]

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Ship-based hydrography remains the only method for obtaining high-quality oceanographic data, but using these data is challenging due to the lack of standardized formats. A new data product aims to combine and reformat these data to facilitate wider usage and adapt to different applications.
Despite technological advances over the last several decades, ship-based hydrography remains the only method for obtaining high-quality, high spatial and vertical resolution measurements of physical, chemical, and biological parameters over the full water column essential for physical, chemical, and biological oceanography and climate science. The Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) coordinates a network of globally sustained hydrographic sections. These data provide a unique data set that spans four decades, comprised of more than 40 cross-ocean transects. The section data are, however, difficult to use owing to inhomogeneous format. The purpose of this new temperature, salinity, and dissolved oxygen data product is to combine, reformat and grid these data measured by Conductivity-Temperature-Depth-Oxygen (CTDO) profilers in order to facilitate their use by a wider audience. The product is machine readable and readily accessible by many existing visualisation and analysis software packages. The data processing can be repeated with modifications to suit various applications such as analysis of deep ocean, validation of numerical simulation, and calibration of autonomous platforms.

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