An International Time-Series Methods Workshop
A Newly Established Time-Series Network
One of the key outcomes of this workshop was the development of a global time-series network to improve coordination and communication among marine biogeochemical time-series. This new time-series network has an email list and a permanent web presence. Please visit often!
Workshop Dates and Venue
This workshop took place November 28-30, 2012 at the Bermuda Institute of Ocean Sciences (BIOS). The workshop was jointly convened by the International Ocean Carbon Coordination Project (IOCCP) and the Ocean Carbon & Biogeochemistry (OCB) Program, and focused on biogeochemical time-series methods and data intercomparison.
Workshop Rationale and Objectives
Ocean time-series represent one of the most valuable tools scientists have to characterize and quantify ocean carbon fluxes and biogeochemical processes and their links to changing climate. In order to acquire a more thorough understanding of natural cycles and human-driven changes in the global oceans, it is important that time-series methodologies (sampling and analytical protocols) be transparent and consistent. This workshop provided an opportunity to convene representatives from global marine biogeochemical time-series sites to review current methodologies being used at the sites, with the aim of standardizing sampling and analytical protocols for key biogeochemical parameters being measured across sites. The workshop goals and outcomes included the following:
- Review current oceanographic time-series core sampling and analytical methodologies and rationale behind protocol differences
- To the extent possible, attempt to define standardized methods applicable across time-series
- Attempt to reconcile differences in variable nomenclature
- Examine new techniques available for more accurate and simplified measurements
- Generate a list of suggestions on how automated sensors may improve the type and accuracy of core measurements taken at time-series sites
- Coordinate a best practices publication on sampling and measurement protocols to facilitate data inter-comparison across time-series sites