Multi-decadal ocean temperature time-series and climatologies from Australia's long-term National Reference Stations.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
07 04 2022
Historique:
received: 29 09 2021
accepted: 03 03 2022
entrez: 8 4 2022
pubmed: 9 4 2022
medline: 16 4 2022
Statut: epublish

Résumé

Multi-decadal ocean time-series are fundamental baselines for assessing the impacts of environmental change, however, compiling and quality controlling historic data from multiple sources remains challenging. Here we aggregate, document, and release a number of long time-series temperature products and climatologies compiled from data obtained at 4 monitoring sites around Australia where sub-surface ocean temperature has been recorded nominally weekly to monthly since the 1940s/50s. In recent years, the sampling was augmented with data obtained from moored sensors, vertical profiles and satellite-derived data. The temperature data have been quality controlled, and combined using a rigorously tested methodology. We have packaged the multi-decadal, multi-depth, multi-platform temperature time-series at each site and produced a range of daily temperature climatologies from different data combinations and time periods. The 17 data products are provided as CF-compliant NetCDF files and will be updated periodically. The long-term temperature time-series will be useful for studies of ocean temperature variability, trends, anomalies and change. The data collection is supported by Australia's Integrated Marine Observing System and data are open-access.

Identifiants

pubmed: 35393475
doi: 10.1038/s41597-022-01224-6
pii: 10.1038/s41597-022-01224-6
pmc: PMC8990001
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

157

Informations de copyright

© 2022. Crown.

Références

Sci Data. 2019 Oct 22;6(1):223
pubmed: 31641133
PLoS One. 2014 Dec 17;9(12):e113652
pubmed: 25517905
Sci Data. 2016 Mar 15;3:160018
pubmed: 26978244
Nat Commun. 2018 Apr 10;9(1):1324
pubmed: 29636482
Data Brief. 2021 Jan 29;35:106812
pubmed: 33659585

Auteurs

Moninya Roughan (M)

Coastal and Regional Oceanography Lab, Centre for Marine Science and Innovation, UNSW Sydney, Sydney, NSW, 2052, Australia. mroughan@unsw.edu.au.

Michael Hemming (M)

Coastal and Regional Oceanography Lab, Centre for Marine Science and Innovation, UNSW Sydney, Sydney, NSW, 2052, Australia.

Amandine Schaeffer (A)

Coastal and Regional Oceanography Lab, Centre for Marine Science and Innovation, UNSW Sydney, Sydney, NSW, 2052, Australia.
School of Mathematics and Statistics, UNSW Sydney, Sydney, NSW, 2052, Australia.

Tim Austin (T)

Coastal and Regional Oceanography Lab, Centre for Marine Science and Innovation, UNSW Sydney, Sydney, NSW, 2052, Australia.

Helen Beggs (H)

Science & Innovation Group, Bureau of Meteorology, Docklands, Vic, 3008, Australia.

Miaoju Chen (M)

CSIRO Oceans and Atmosphere, Indian Ocean Marine Research Centre, Crawley, WA, 6009, Australia.

Ming Feng (M)

CSIRO Oceans and Atmosphere, Indian Ocean Marine Research Centre, Crawley, WA, 6009, Australia.

Guillaume Galibert (G)

Australian Ocean Data Network, Integrated Marine Observing System, UTAS, Hobart, TAS, 7001, Australia.

Clive Holden (C)

Oceanographic Field Services, Freshwater, NSW, 2096, Australia.

David Hughes (D)

CSIRO Marine Laboratory, Battery Point, TAS, 7004, Australia.

Tim Ingleton (T)

NSW Department of Planning Industry and Environment, Lidcombe, NSW, 2141, Australia.

Stuart Milburn (S)

Coastal and Regional Oceanography Lab, Centre for Marine Science and Innovation, UNSW Sydney, Sydney, NSW, 2052, Australia.

Ken Ridgway (K)

CSIRO Marine Laboratory, Battery Point, TAS, 7004, Australia.

Classifications MeSH