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Limited Lateral Transport Bias During Export of Sea Surface Temperature Proxy Carriers in the Mediterranean Sea.
Rice, Addison; Nooteboom, Peter D; van Sebille, Erik; Peterse, Francien; Ziegler, Martin; Sluijs, Appy.
Afiliação
  • Rice A; Department of Earth Sciences Utrecht University Utrecht The Netherlands.
  • Nooteboom PD; Department of Physics IMAU Utrecht University Utrecht The Netherlands.
  • van Sebille E; Centre for Complex Systems Studies Utrecht University Utrecht The Netherlands.
  • Peterse F; Department of Physics IMAU Utrecht University Utrecht The Netherlands.
  • Ziegler M; Centre for Complex Systems Studies Utrecht University Utrecht The Netherlands.
  • Sluijs A; Department of Earth Sciences Utrecht University Utrecht The Netherlands.
Geophys Res Lett ; 49(4): e2021GL096859, 2022 Feb 28.
Article em En | MEDLINE | ID: mdl-35865999
Some lipid-biomarker-based sea surface temperature (SST) proxies applied in the modern Mediterranean Sea exhibit large offsets from expected values, generating uncertainties in climate reconstructions. Lateral transport of proxy carriers along ocean currents prior to burial can contribute to this offset between reconstructed and expected SSTs. We perform virtual particle tracking experiments to simulate transport prior to and during sinking and derive a quantitative estimate of transport bias for alkenones and glycerol dibiphytanyl glycerol tetraethers (GDGTs), which form the basis of the UK' 37 and TEX86 paleothermometers, respectively. We use a simple 30-day surface advection scenario and sinking speeds appropriate for the export of various proxy carriers (6, 12, 25, 50, 100, 250, 500, and 1000 md-1). For the assessed scenarios, lateral transport bias is generally small (always <0.85°C) within the Mediterranean Sea and does not substantially contribute to uncertainties in UK' 37- or TEX86-based SSTs.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article