Stable isotope records of Arctic and Antarctic ice cores Article Swipe
Vasileios Gkinis
,
Christian Holme
,
Bo Vinther
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1594/pangaea.886048
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1594/pangaea.886048
Polar precipitation archived in ice caps contains information on past temperature conditions. Such information can be retrieved by measuring the water isotopic signals of ?18O and ?D in ice cores. These signals have been attenuated during densification due to molecular diffusion in the firn column, where the magnitude of the diffusion is isotopologoue specific and temperature dependent. By utilizing the differential diffusion signal, dual isotope measurements of d18O and dD enable multiple temperature reconstruction techniques. This study assesses how well six different methods can be used to reconstruct past surface temperatures from the diffusion-based temperature proxies. Two of the methods are based on the single diffusion lengths of d18O and dD, three of the methods employ the differential diffusion signal, while the last uses the ratio between the single diffusion lengths. All techniques are tested on syntheticdata in order to evaluate their accuracy and precision. We perform a benchmark test to thirteen high resolution Holocene data sets from Greenland and Antarctica, which represent a broad range of mean annual surface temperatures and accumulation rates. Based on the benchmark test, we comment on the accuracy and precision of the methods. Both the benchmark test and the synthetic data test demonstrate that the most precise reconstructions are obtained when using the single isotope diffusion lengths, with precisions of approximately 1.0°C. In the benchmark test, the single isotope diffusion lengths are also found to reconstruct consistent temperatures with a root mean-square-deviation of 0.7°C. The techniques employing the differential diffusion signals are more uncertain, where the most precise method has a precision of 1.9°C. The diffusion length ratio method is the least precise with a precision of 13.7°C. The absolute temperature estimates from this method are also shown to be highly sensitive to the choice of fractionation factor parameterization.
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- en
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- OpenAlex ID
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https://openalex.org/W3011022356Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1594/pangaea.886048Digital Object Identifier
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Stable isotope records of Arctic and Antarctic ice coresWork title
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datasetOpenAlex work type
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enPrimary language
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2018Year of publication
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2018-01-01Full publication date if available
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Vasileios Gkinis, Christian Holme, Bo VintherList of authors in order
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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Ice core, Arctic, Stable isotope ratio, Oceanography, Isotope, Arctic ice pack, The arctic, Sea ice, Environmental science, Climatology, Geology, Physical geography, Geography, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.method | 254, 264, 280 |
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| abstract_inverted_index.0.7°C. | 239 |
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| abstract_inverted_index.1.9°C. | 259 |
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| abstract_inverted_index.column, | 44 |
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| abstract_inverted_index.proxies. | 95 |
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| abstract_inverted_index.estimates | 277 |
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| abstract_inverted_index.precision. | 144 |
| abstract_inverted_index.precisions | 214 |
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| abstract_inverted_index.techniques | 132, 241 |
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| abstract_inverted_index.diffusion-based | 93 |
| abstract_inverted_index.reconstructions | 203 |
| abstract_inverted_index.parameterization. | 294 |
| abstract_inverted_index.mean-square-deviation | 237 |
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| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.6700000166893005 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile |