From Australian Oceans Data Network
JSON RDF ISO19115-3 XML

IMOS - Southern Ocean Time Series (SOTS) - Quality Assessment and Control Report - PAR instruments

Created 13/03/2025

Updated 13/03/2025

JSON RDF ISO19115-3 XML

This report describes the quality control procedures applied to PAR data collected from the Southern Ocean Time Series (SOTS) moorings between 2009 and 2019. The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. The Southern Ocean Time Series (SOTS) Observatory located near 141°E and 47°S provides high temporal resolution observations in sub-Antarctic waters. It is focused on the sub-Antarctic Zone because waters formed at the surface in this region by deep wintertime convection slide under warmer subtropical and tropical waters, carrying CO2 and heat into the deep ocean, where it is out of contact with the atmosphere. This process also supplies oxygen for deep ocean ecosystems, and exports nutrients that fuel ~70% of global ocean primary production. Local biological production also impacts carbon cycling and the SOTS moorings measure several variables important to these processes, including photosynthetically available radiation (PAR).

Files and APIs

Tags

Additional Info

Field Value
Title IMOS - Southern Ocean Time Series (SOTS) - Quality Assessment and Control Report - PAR instruments
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/5ac8d71f-8bb1-4d87-b978-f780d6225d64
Contact Point
CSIRO Oceans & Atmosphere
christina.schallenberg@utas.edu.au
Reference Period 21/12/2020
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "IMOS - Southern Ocean Time Series (SOTS) - Quality Assessment and Control Report - PAR instruments". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/imos-southern-ocean-time-series-sots-quality-assessment-and-control-report-par-instruments

Original dataset
Dataset copies

No duplicate datasets found.