Monsoon reconstructions using bulk and individual foraminiferal analyses in marine sediments offshore India

Kaustubh Thirumalai, Steven C. Clemens

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Planktic foraminiferal geochemistry has yielded extensive insights into Cenozoic climate change over timescales ranging from centuries to millions of years. Additionally, recent studies have targeted reconstructing sub-centennial climate signals, including past seasonality, using the stable oxygen isotopic composition (δ18O) in individual tests of planktic foraminifera. Here we assess the signal involved in reconstructing past Indian monsoon strength and seasonality using bulk-foraminiferal and individual foraminiferal analysis (IFA). We focus on three areas offshore India and study the regional sensitivity of foraminiferal carbonate to monsoonal runoff using a forward-model that includes newly re-evaluated relationships between local salinity and seawater-δ18O. We then evaluate the utility of foraminiferal-δ18O across these regions in reconstructing monsoon variability. We find that the foraminiferal-δ18O signal is dominated by processes that control seawater-δ18O variations in the Bay of Bengal versus temperature variations in the Arabian Sea and discuss the implications for the IFA-δ18O signal. Our findings support that both bulk and individual foraminiferal records developed offshore India can provide skilful reconstructions of past monsoon rainfall variability. We conclude that statistical analyses such as that provided in this work can offer useful blueprints to interpreting the relationship between monsoon rainfall and foraminiferal geochemistry.

Original languageEnglish (US)
Pages (from-to)328-334
Number of pages7
JournalCurrent Science
Volume119
Issue number2
DOIs
StatePublished - Jul 25 2020
Externally publishedYes

Keywords

  • Forward-modelling
  • Planktic foraminifera
  • individual foraminiferal analysis
  • palaeomonsoon

ASJC Scopus subject areas

  • General

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