A proxy modelling approach to assess the potential of extracting ENSO signal from tropical Pacific planktonic foraminifera

Brett Metcalfe*, Bryan C. Lougheed, Claire Waelbroeck, DIdier M. Roche

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

A complete understanding of past El Niño– Southern Oscillation (ENSO) fluctuations is important for the future predictions of regional climate using climate models. One approach to reconstructing past ENSO dynamics uses planktonic foraminifera as recorders of past climate to assess past spatio-temporal changes in upper ocean conditions. In this paper, we utilise a model of planktonic foraminifera populations, Foraminifera as Modelled Entities (FAME), to forward model the potential monthly average 18Oc and temperature signal proxy values for Globigerinoides ruber, Globigerinoides sacculifer, and Neogloboquadrina dutertrei from input variables covering the period of the instrumental record. We test whether the modelled foraminifera population 18Oc and Tc associated with El Niño events statistically differ from the values associated with other climate states. Provided the assumptions of the model are correct, our results indicate that the values of El Niño events can be differentiated from other climate states using these species. Our model computes the proxy values of foraminifera in the water, suggesting that, in theory, water locations for a large portion of the tropical Pacific should be suitable for differentiating El Niño events from other climate states. However, in practice it may not be possible to differentiate climate states in the sediment record. Specifically, comparison of our model results with the sedimentological features of the Pacific Ocean shows that a large portion of the hydrographically/ecologically suitable water regions coincide with low sediment accumulation rate at the sea floor and/or of sea floor that lie below threshold water depths for calcite preservation.

Original languageEnglish
Article number50
Pages (from-to)885-910
Number of pages26
JournalClimate of the Past
Volume16
Issue number3
DOIs
Publication statusPublished - 20 May 2020

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