The Global Ocean Ship-Base Hydrographic Investigations Program (GO-SHIP) provides a globally coordinated network and oversight of repeat hydrography. Repeat Hydrography involves a number of core hydrographic sections that are repeated on a decadal time-scale (although a few are “high frequency lines with biennial, annual or bi-annual repeats). These sections are typically full depth CTD stations at high spatial resolution with measurements of a defined set of EOVs (the GO-SHIP level 1 variables), and goes from continent to continent, i.e. crossing ocean basins.
AtlantOS have supported and improved the Atlantic GO-SHIP program in three main ways: 1) AtlantOS supported a coordination office located at JCOMMOPS in Brest, 2) AtlantOS supported the concept of European central laboratories for the observation of not-commonly measured EOVs that are core in GO-SHIP, and 3) by facilitating the observation and delivery of ocean current data from ship-based ADCP systems.
The technical coordination of the program has enabled the GO-SHIP program to be visible on the JCOMMOPS network coordination site, facilitating the overall coordination and assessment of the ocean observing system. The coordination has also made significant progress in tracking the impact of the network in terms of scientific output and has supported the progress of key documentation and support.
AtlantOS supported central facilities for measurements of key GO-SHIP EOVs that are not regularly measured on other platforms of observing systems. AtlantOS decided to support facilities for the inorganic carbon system and transient tracers. Both are EOVs, seldom measured by other networks, and are thus a challenge to maintain facilities for measurements of these in each country. The concept of central European facilities proved to be useful, and a concept that can be used in the future, but requires long-term funding commitments paired with expectation to support GO-SHIP lines.
The improvement of software for processing ADCP data and support for a data management system for these data has showed large potential, and is now ready to deploy on a larger scale for the Atlantic GO-SHIP program.