Ocean temperatures over time estimated from planktonic foraminifera assemblages in core MD032607 located off South Australia. Estimates are provided for the sea-surface, 50m, 100m, and 150m

Maintenance and Update Frequency: notPlanned Statement: Sea-surface temperatures (SST) were estimated from planktonic foraminifera assemblage data. The most precise variable of SST is mean annual temperature, followed by Tmax, then Tmin. All variables have a root mean squared error of prediction of...

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Bibliographic Details
Other Authors: De Deckker, Patrick (collaborator), Department of Earth and Marine Sciences (DEMS), The Australian National University (ANU) (hasAssociationWith), Horizon Oil Ltd (hasAssociationWith), Research School of Earth Sciences (RSES), The Australian National University (ANU) (hasAssociationWith), Spooner, Michelle (hasPrincipalInvestigator)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
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Online Access:https://researchdata.edu.au/ocean-temperatures-time-100m-150m/678643
Description
Summary:Maintenance and Update Frequency: notPlanned Statement: Sea-surface temperatures (SST) were estimated from planktonic foraminifera assemblage data. The most precise variable of SST is mean annual temperature, followed by Tmax, then Tmin. All variables have a root mean squared error of prediction of less than 1 degree C. Most of the SST estimates are reasonably precise, given that the samples have good analogues in the AUSMAT-F4 database. Typically, the glacial periods are less precise than the interglacials. Time periods with reduced quality of SST estimates are ~66k BP and 132-144k BP. Parameters: Age of core (yrs BP), mean water temperature (oC), maximum water temperature (oC), minimum water temperature (oC), depth of mixed layer (m), temperature at 50m, 100m and 150m (oC). Statement: Sea-surface temperatures (SST) were estimated from planktonic foraminifera assemblage data using the modern analogue technique (MAT), in conjunction with the AUSMAT-F4 database. Each SST estimate was calculated as the mean of the best 10 analogues from the global database. Credit The Australian National University (ANU) Credit Funded by The National Oceans Office (NOO) Credit Funded by The Australian Research Council (ARC) Credit Funded by The French Polar Institute Credit Funded by The Australian Insitute of Nuclear Science and Engineering (AINSE) Credit Funded by The Murray Darling Basin Commission Purpose To investigate the dynamics of the Leeuwin Current. The hope was to determine synchronity between different cores and to indicate whether the Leeuwin Current was absent or reduced during glacial periods and enhanced or unchanged during interglacial periods. In recent years the term 'enhanced greenhouse effect' has become well known in modern society and yet aspects of this possible 'future climate' are poorly understood. The characteristics of the geological record provide a basis to understand this possible future climate through the examination of alternating glacial (cold) and interglacial (warm) ...