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Historical February Sea-Surface Temperature Estimates Utilising Diatom Transfer Functions with Core MD88-784

The purpose of this study was to estimate past sea-surface temperature in the Southeast Indian Ocean. The accumulation of diatom microplankton assemblages in sediments being the proxy for these records of climatic change.

A transfer function is a mathematical method that allows quantitative estimations of environmental parameters from past biogenic sedimentation. In this study, a diatom transfer function was established to relate biological species to selected environmental parameter of the ocean (sea-surface temp). These equations were then employed on observed fossil species from core samples to provide quantitative estimates of sea-surface temperature.

Estimates of sea-surface temperature are given here for core MD88-784. The information provided gives the extrapolated age-scale through the core, and two estimates of feb SST based on different diatom transfer functions (DTF 109/24/6 and DTF 166/34/4).

It is probable that the 'real' SST signal lies between the model estimates. The model diagnostics and lower number of non-analogue events from DTF 109/24/6 over that of results produced by DTF 166/34/4 suggest that SST estimates are closer to those provided by the former model.

Data and Resources

Additional Info

Field Value
Title Historical February Sea-Surface Temperature Estimates Utilising Diatom Transfer Functions with Core MD88-784
Type Dataset
Language English
Licence Creative Commons Attribution 2.5 Australia
Data Status inactive
Update Frequency never
Landing Page https://data.gov.au/data/dataset/d39f5ce5-d244-4557-b4e7-2e2753e67414
Date Published 2017-06-24
Date Updated 2023-08-11
Contact Point
Department of Biological Sciences, Macquarie University
leanne.armand@mq.edu.au
Temporal Coverage 2017-06-24 20:40:42
Geospatial Coverage {"type": "Polygon", "coordinates": [[[144.5, -54.5], [145.0, -54.5], [145.0, -54.0], [144.5, -54.0], [144.5, -54.5]]]}
Jurisdiction Commonwealth of Australia
Data Portal data.gov.au
Publisher/Agency Department of Biological Sciences, Macquarie University