A potential bias in coral reconstruction of sea surface temperature

Andrew R. Solow; Amit Huppert

doi:10.1029/2003gl019349

A potential bias in coral reconstruction of sea surface temperature

Andrew R. Solow^*
, Amit Huppert

^*Corresponding author for this work

Woods Hole Oceanographic Institution

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

Isotopic measurements in corals are used to reconstruct past sea surface temperature. These reconstructions are based on calibration regression analyses using paired measurements of modern isotopic composition and sea surface temperature. It is shown that error in these measurements of sea surface temperature can lead to substantial bias in reconstruction. Provided the variance of the measurement error is known or can be estimated, a simple correction can eliminate this bias.

Original language	English
Pages (from-to)	L06308 1-4
Journal	Geophysical Research Letters
Volume	31
Issue number	6
DOIs	https://doi.org/10.1029/2003gl019349
State	Published - 28 Mar 2004
Externally published	Yes

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10.1029/2003gl019349

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title = "A potential bias in coral reconstruction of sea surface temperature",

abstract = "Isotopic measurements in corals are used to reconstruct past sea surface temperature. These reconstructions are based on calibration regression analyses using paired measurements of modern isotopic composition and sea surface temperature. It is shown that error in these measurements of sea surface temperature can lead to substantial bias in reconstruction. Provided the variance of the measurement error is known or can be estimated, a simple correction can eliminate this bias.",

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AB - Isotopic measurements in corals are used to reconstruct past sea surface temperature. These reconstructions are based on calibration regression analyses using paired measurements of modern isotopic composition and sea surface temperature. It is shown that error in these measurements of sea surface temperature can lead to substantial bias in reconstruction. Provided the variance of the measurement error is known or can be estimated, a simple correction can eliminate this bias.

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JO - Geophysical Research Letters

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A potential bias in coral reconstruction of sea surface temperature

Abstract

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