Location of cation impurities in NGRIP deep ice revealed by cryo-cell UV-laser-ablation ICPMS

Lunga, Damiano Della; Müller, Wolfgang; Rasmussen, S. O.; Svensson, Anders

doi:10.3189/2014jog13j199

Cited by 32 publications

(46 citation statements)

References 59 publications

(101 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, one of the very few studies which found evidence for a connection of spatial distribution of impurities along grain boundaries reported this evidence as a characteristic of "clean" interstadial ice (Della Lunga et al, 2014). Four samples were analyzed: two from the EDML ice core (Antarctica) and two from the NEEM ice core (Greenland).…”

Section: Methods and Sample Materialsmentioning

confidence: 99%

“…In contrast, EDX experiments by Cullen and Baker (2001), Barnes et al (2002), Barnes (2003), Baker et al (2003) and Iliescu and Baker (2008) found traces of sodium, chlorine and sulfur in filaments, which would grow out of grain boundaries after controlled surface sublimation of natural ice samples. Della Lunga et al (2014) analyzed the distribution of a variety of elements in discrete samples from the glacial part of the NGRIP ice core using UV-LA-ICPMS. No correlation was found between impurities and grain boundaries in cloudy bands, but the authors observed concentration peaks at grain boundaries in the cleaner parts of the ice.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Location and distribution of micro-inclusions in the EDML and NEEM ice cores using optical microscopy and in situ Raman spectroscopy

et al. 2017

View full text Add to dashboard Cite

Abstract. Impurities control a variety of physical properties of polar ice. Their impact can be observed at all scalesfrom the microstructure (e.g., grain size and orientation) to the ice sheet flow behavior (e.g., borehole tilting and closure). Most impurities in ice form micrometer-sized inclusions. It has been suggested that these µ inclusions control the grain size of polycrystalline ice by pinning of grain boundaries (Zener pinning), which should be reflected in their distribution with respect to the grain boundary network. We used an optical microscope to generate high-resolution large-scale maps (3 µm pix −1 , 8×2 cm 2 ) of the distribution of micro-inclusions in four polar ice samples: two from Antarctica (EDML, MIS 5.5) and two from Greenland (NEEM, Holocene). The in situ positions of more than 5000 µ inclusions have been determined. A Raman microscope was used to confirm the extrinsic nature of a sample proportion of the mapped inclusions. A superposition of the 2-D grain boundary network and µ-inclusion distributions shows no significant correlations between grain boundaries and µ inclusions. In particular, no signs of grain boundaries harvesting µ inclusions could be found and no evidence of µ inclusions inhibiting grain boundary migration by slow-mode pinning could be detected. Consequences for our understanding of the impurity effect on ice microstructure and rheology are discussed.

show abstract

Section: Methods and Sample Materialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Location and distribution of micro-inclusions in the EDML and NEEM ice cores using optical microscopy and in situ Raman spectroscopy

et al. 2017

View full text Add to dashboard Cite

show abstract

“…, Della Lunga et al . ). Because many of the analyses carried out over this period were line‐scans (tracks) across relatively large growth‐banded carbonate samples – to our knowledge – we present the first extensive data set of laser ablation line‐scan (‘track’) data of RMs.…”

mentioning

confidence: 97%

Automated Extraction of a Five‐Year LA‐ICP‐MS Trace Element Data Set of Ten Common Glass and Carbonate Reference Materials: Long‐Term Data Quality, Optimisation and Laser Cell Homogeneity

Evans

Müller

2018

Geostandard Geoanalytic Res

Self Cite

View full text Add to dashboard Cite

LA‐ICP‐MS is increasingly applied to obtain quantitative multi‐element data with minimal sample preparation, usually achieved by calibration using reference materials (RMs). However, some ubiquitous RMs, for example the NIST SRM 61× series glasses, suffer from reported value uncertainties for certain elements. Moreover, no long‐term data set of analyses conducted over a range of ablation and tuning conditions exists. Thus, there has been little rigorous examination of the extent to which offsets between measured and reported values are the result of error in these values rather than analytically induced fractionation. We present new software (‘LA‐MINE’), capable of extracting LA‐ICP‐MS data with no user input, and apply this to our system, yielding over 5 years of data (~ 5700 analyses of ten glass and carbonate RMs). We examine the relative importance of systematic analytical bias and possible error in reported values through a mass‐specific breakdown of fourteen of the most commonly determined elements. Furthermore, these data, obtained under a wide range of different ablation conditions, enable specific recommendations of how data quality may be improved, for example the role of diatomic gas, the effect of differential inter‐glass fractionation factors and choice of transport tubing material. Finally, these data demonstrate that the two‐volume Laurin ablation cell is characterised by no discernible spatial heterogeneity in measured trace element ratios.

show abstract

“…While these methods offer very accurate results, they can be time intensive (∼hours) and thus often limit the spatial resolution (e.g., 50 samples per meter in [14]). More recently, a new approach to chemistry sampling using a laser to ablate the ice is providing semi-automated sampling at much higher spatial resolutions than previously possible (e.g., sub-mm resolution [15,16]). …”

Section: Introductionmentioning

confidence: 99%

Laser Ultrasound Observations of Mechanical Property Variations in Ice Cores

et al. 2017

View full text Add to dashboard Cite

Abstract:The study of climate records in ice cores requires an accurate determination of annual layering within the cores in order to establish a depth-age relationship. Existing tools to delineate these annual layers are based on observations of changes in optical, chemical, and electromagnetic properties. In practice, no single technique captures every layer in all circumstances. Therefore, the best estimates of annual layering are produced by analyzing a combination of measurable ice properties. We present a novel and complimentary elastic wave remote sensing method based on laser ultrasonics. This method is used to measure variations in ultrasonic wave arrival times and velocity along the core with millimeter resolution. The laser ultrasound system does not require contact with the ice core and is non-destructive. Custom optical windows allow the source and receiver lasers to be located outside the cold room, while the core is scanned by moving it with a computer-controlled stage. We present results from Antarctic firn and ice cores that lack visual evidence of a layered structure, but do show travel-time and velocity variations. In the future, these new data may be used to infer stratigraphic layers from elastic parameter variations within an ice core, as well as analyze ice crystal fabrics.

show abstract

Location of cation impurities in NGRIP deep ice revealed by cryo-cell UV-laser-ablation ICPMS

Cited by 32 publications

References 59 publications

Location and distribution of micro-inclusions in the EDML and NEEM ice cores using optical microscopy and in situ Raman spectroscopy

Location and distribution of micro-inclusions in the EDML and NEEM ice cores using optical microscopy and in situ Raman spectroscopy

Automated Extraction of a Five‐Year LA‐ICP‐MS Trace Element Data Set of Ten Common Glass and Carbonate Reference Materials: Long‐Term Data Quality, Optimisation and Laser Cell Homogeneity

Laser Ultrasound Observations of Mechanical Property Variations in Ice Cores

Contact Info

Product

Resources

About