Improving continuous-flow analysis of triple oxygen isotopes in ice cores: insights from replicate measurements
Stable water isotope measurements from polar ice cores provide high-resolution information about past hydrologic conditions and are therefore important for understanding earth's climate system. Routine high-resolution measurements of δ 18 O, δ D, and deuterium excess are made by continuous-flow...
| Published in: | Atmospheric Measurement Techniques |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Copernicus Publications
2022
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| Subjects: | |
| Online Access: | https://doi.org/10.5194/amt-15-7337-2022 https://doaj.org/article/adc6676aade14b2986a1da03afe070e8 |
| Summary: | Stable water isotope measurements from polar ice cores provide high-resolution information about past hydrologic conditions and are therefore important for understanding earth's climate system. Routine high-resolution measurements of δ 18 O, δ D, and deuterium excess are made by continuous-flow analysis (CFA) methods that include laser spectrometers. Cavity ring-down laser spectroscopy (CRDS) allows for simultaneous measurements of all stable water isotopes, including δ 17 O and 17 O excess ( Δ 17 O); however, the limitations of CFA methodologies for Δ 17 O are not well understood. Here, we describe a measurement methodology for all stable water isotopes that uses a CFA system coupled with a CRDS instrument. We make repeated measurements of an ice-core section using this method to explore the reproducibility of CFA–CRDS measurements for Δ 17 O. Our data demonstrate that the CFA–CRDS method can make high-precision measurements of Δ 17 O ( < 5 per meg at averaging times > 3000 s). We show that the variations within our CFA ice-core measurements are well matched in magnitude and timing by the variations within the discrete CRDS measurements; we find that calibration offsets generate most of the variability among the replicate datasets. When these offsets are accounted for, the precision of CFA–CRDS ice-core data for Δ 17 O is as good as the precision of Δ 17 O for continuous reference water measurements. We demonstrate that this method can detect seasonal variability in Δ 17 O in Greenland ice, and our work suggests that the measurement resolution of CFA–CRDS is largely defined by the melt and measurement rate. We suggest that CFA–CRDS has the potential to increase measurement resolution of δ 17 O and Δ 17 O in ice cores, but also highlight the importance of developing calibration strategies with attention to Δ 17 O. |
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