previous record next record

Bermuda Atlantic Time-series Study - data portal (ODIS id: 491)

First entry: 04/04/2019 Last update: 04/04/2019
Submitter/Owner Peter Pissierssens ( OceanExpert : 36337 )
Submitter/Owner Role IODE Secretariat
Datasource URL http://bats.bios.edu/bats-data/
Parent Project URL
English name Bermuda Atlantic Time-series Study - data portal
Original (non-English) name
Acronym BATS
Citation
Abstract Long-term time series, like BATS, are invaluable platforms for investigating temporal and spatial scales of ocean biogeochemical variability and relationships with the global carbon cycle. Moreover, they provide comprehensive datasets used to assess the behavior of biogeochemical and ecosystem models. The research goals of BATS has been, and continues to be, improving our understanding of the “time-varying” components of the ocean carbon cycle, related biogenic elements of interest (e.g., nitrogen, phosphorus, silica), and identifying the relevant physical, chemical and ecosystem properties responsible for this variability. The objectives of BATS are to: 1) document the temporal variability in nutrient cycles and biological communities; 2) quantify the role of ocean-atmosphere coupling and climate forcing on air-sea exchange of CO2, and carbon export to the ocean interior; 3) Study the role of physical forcing (e.g., surface fluxes of heat, freshwater and momentum) on planktonic community structure and function, including new and export productivity; 4) Study the role of climate-induced variability in surface fluxes on planktonic community structure and function; and 5) provide a testbed for the introduction and validation of new oceanographic tools and technologies.
Contact name Nicholas Bates
Contact email please login to see emails
Technical contact email please login to see emails
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Data standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from

previous record next record