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  • 1
    Publication Date: 2024-04-19
    Description: The stable water isotopic composition in firn and ice cores provides valuable information on past climatic conditions. Because of uneven accumulation and post‐depositional modifications on local spatial scales up to hundreds of meters, time series derived from adjacent cores differ significantly and do not directly reflect the temporal evolution of the precipitated snow isotopic signal. Hence, a characterization of how the isotopic profile in the snow develops is needed to reliably interpret the isotopic variability in firn and ice cores. By combining digital elevation models of the snow surface and repeated high‐resolution snow sampling for stable water isotope measurements of a transect at the East Greenland Ice‐core Project campsite on the Greenland Ice Sheet, we are able to visualize the buildup and post‐depositional changes of the upper snowpack across one summer season. To this end, 30 cm deep snow profiles were sampled on six dates at 20 adjacent locations along a 40 m transect. Near‐daily photogrammetry provided snow height information for the same transect. Our data shows that erosion and redeposition of the original snowfall lead to a complex stratification in the δ〈sup〉18〈/sup〉O signature. Post‐depositional processes through vapor‐snow exchange affect the near surface snow with d‐excess showing a decrease in surface and near‐surface layers. Our data suggests that the interplay of stratigraphic noise, accumulation intermittency, and local post‐depositional processes form the proxy signal in the upper snowpack.
    Description: Plain Language Summary: We study the process of the formation of the stable water isotope signal in surface snow on the Greenland Ice Sheet to better understand temperature information which is stored as a climate proxy in snow and ice. Our data consist of high‐resolution surface topography information illustrating the timing and location of snowfall, erosion, and redeposition along a transect of 40 m, as well as stable water isotope records of the upper 30 cm of the snowpack sampled biweekly on 20 positions at the same 40 m long transect. The data cover a 2‐month period during the summer of 2019. We find that the isotopic composition shows spatial variability of layers with low and high values, presumably winter and summer layers. We further observe that prevailing surface structures, such as dunes, influence the snow deposition and contribute to the found variable structure of the climatic information. Eventually, snow accumulation alone cannot explain all of the observed patterns in the isotopic data which is likely related to exchange processes between the snow and the atmosphere which modify the signal in the snow column after deposition.
    Description: Key Points: Combining digital elevation models and repeated snow sampling reveals the heterogeneous buildup of δ〈sup〉18〈/sup〉O signal in the snow column. Surface structures (stratigraphic noise) substantially contribute to internal heterogeneity in δ〈sup〉18〈/sup〉O signature in the upper snowpack. Proxy signals are formed in the surface layer by local processes, advected downwards with limited post‐depositional influences below 10 cm.
    Description: Horizon 2020 Framework Programme http://dx.doi.org/10.13039/100010661
    Description: A. P. Møller Foundation, University of Copenhagen
    Description: US National Science Foundation, Office of Polar Programs
    Description: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
    Description: National Institute of Polar Research and Arctic Challenge for Sustainability
    Description: University of Bergen
    Description: Trond Mohn Foundation
    Description: Swiss National Science Foundation
    Description: French Polar Institute Paul‐Emile Victor, Institute for Geosciences and Environmental Research
    Description: University of Manitoba
    Description: Chinese Academy of Sciences
    Description: Beijing Normal University
    Description: https://doi.org/10.1594/PANGAEA.954944
    Description: https://doi.org/10.1594/PANGAEA.954945
    Description: https://doi.org/10.1594/PANGAEA.951583
    Description: https://doi.org/10.1594/PANGAEA.925618
    Description: https://doi.org/10.1594/PANGAEA.928827
    Description: https://www.agisoft.com/downloads/installer/
    Keywords: ddc:551 ; proxy ; Greenland ; isotopes ; structure‐from‐motion ; snow accumulation ; ice core
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2019-09-29
    Description: The Sentinel Application Platform (SNAP) architecture facilitates Earth Observation data processing. In this work, we present results from a new Snow Processor for SNAP. We also describe physical principles behind the developed snow property retrieval technique based on the analysis of Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3A/B measurements over clean and polluted snow fields. Using OLCI spectral reflectance measurements in the range 400–1020 nm, we derived important snow properties such as spectral and broadband albedo, snow specific surface area, snow extent and grain size on a spatial grid of 300 m. The algorithm also incorporated cloud screening and atmospheric correction procedures over snow surfaces. We present validation results using ground measurements from Antarctica, the Greenland ice sheet and the French Alps. We find the spectral albedo retrieved with accuracy of better than 3% on average, making our retrievals sufficient for a variety of applications. Broadband albedo is retrieved with the average accuracy of about 5% over snow. Therefore, the uncertainties of satellite retrievals are close to experimental errors of ground measurements. The retrieved surface grain size shows good agreement with ground observations. Snow specific surface area observations are also consistent with our OLCI retrievals. We present snow albedo and grain size mapping over the inland ice sheet of Greenland for areas including dry snow, melted/melting snow and impurity rich bare ice. The algorithm can be applied to OLCI Sentinel-3 measurements providing an opportunity for creation of long-term snow property records essential for climate monitoring and data assimilation studies—especially in the Arctic region, where we face rapid environmental changes including reduction of snow/ice extent and, therefore, planetary albedo.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
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  • 3
    Publication Date: 2019-03-08
    Description: An ice core drilled in 2015 on the Renland ice cap at the eastern margin of Greenland has been inspected with regard to its melt content. The thickness of a melt layer reflects the temperature level at the time of melt generation. Hence the melt layers are an indicator of past regional summer temperatures in East Greenland, a region where paleoclimate records are sparse. Melt layers have been identified almost along the whole core, resulting in a melt record reaching back 10,000 years. By gathering additional information about melt rates as well as high-resolution densities in two shallow cores, we developed an approach to correct the annual melt content for the ice volume that gets lost by the thinning process. The result is a melt record with decadal- to centennial- scale resolution for the last two millennia, and the most accurate Holocene climate record for Eastern Greenland so far. The observed changes of annual melt rates show a warm early Holocene, with melt rates higher than in the recent past century, and minimum melting during the Little Ice Age. Current melt rates show a strong increase for the early 20th century as well as for the time since the end of the past century, with the recent 2012 extreme melting of the Greenland Ice Sheet being the strongest melt event in the past 500 years.
    Print ISSN: 1994-0432
    Electronic ISSN: 1994-0440
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 4
    Publication Date: 2021-10-25
    Description: Ice core water isotope records from Greenland and Antarctica are a valuable proxy for paleoclimate reconstruction, yet the processes influencing the climate signal stored in the isotopic composition of the snow are being challenged and revisited. Apart from precipitation input, post-depositional processes such as wind-driven redistribution and vapor–snow exchange processes at and below the surface are hypothesized to contribute to the isotope climate signal subsequently stored in the ice. Recent field studies have shown that surface snow isotopes vary between precipitation events and co-vary with vapor isotopes, which demonstrates that vapor–snow exchange is an important driving mechanism. Here we investigate how vapor–snow exchange processes influence the isotopic composition of the snowpack. Controlled laboratory experiments under forced sublimation show an increase in snow isotopic composition of up to 8 ‰ δ18O in the uppermost layer due to sublimation, with an attenuated signal down to 3 cm snow depth over the course of 4–6 d. This enrichment is accompanied by a decrease in the second-order parameter d-excess, indicating kinetic fractionation processes. Our observations confirm that sublimation alone can lead to a strong enrichment of stable water isotopes in surface snow and subsequent enrichment in the layers below. To compare laboratory experiments with realistic polar conditions, we completed four 2–3 d field experiments at the East Greenland Ice Core Project site (northeast Greenland) in summer 2019. High-resolution temporal sampling of both natural and isolated snow was conducted under clear-sky conditions and demonstrated that the snow isotopic composition changes on hourly timescales. A change of snow isotope content associated with sublimation is currently not implemented in isotope-enabled climate models and is not taken into account when interpreting ice core isotopic records. However, our results demonstrate that post-depositional processes such as sublimation contribute to the climate signal recorded in the water isotopes in surface snow, in both laboratory and field settings. This suggests that the ice core water isotope signal may effectively integrate across multiple parameters, and the ice core climate record should be interpreted as such, particularly in regions of low accumulation.
    Print ISSN: 1994-0416
    Electronic ISSN: 1994-0424
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 5
    Publication Date: 2023-03-15
    Description: Hourly 2m wind speed (scalar mean), wind direction and air temperature measurements from the EastGRIP site in the accumulation zone of the Greenland Ice Sheet in the period from 25.05.2019-29.07.2019.
    Keywords: BetaTherm - 100K6A1A Thermistor; DATE/TIME; East Greenland Ice-core Project; EastGRIP-Met; EGRIP; IRGASON; IRGASON Campbell Scientific; Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint; SNOWISO; Temperature, air; Weather station/meteorological observation; Wind direction; Wind speed; WST
    Type: Dataset
    Format: text/tab-separated-values, 4586 data points
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  • 6
    Publication Date: 2023-07-29
    Description: Dataset containing surface snow measurements of snow specific surface area (SSA), snow density and snow accumulation. Surface samples were taken from the surface 2.5cm of snow. SSA measurements were determined using an Ice Cube measuring device (Zuanon, 2013). Snow density was measured from the SSA samples with a fixed volume. Snow accumulation describes the change in surface height at each sample site. All measured parameters have 10 daily samples taken at 10m intervals over a 90m transect. Sampling was carried out daily between May and August of 2016-2019, at approximately 24hr time intervals. All measurements were taken at the East Greenland Ice Core Project site (EastGRIP) situated in the accumulation zone of the Greenland Ice Sheet.
    Keywords: Accumulation; Accumulation of snow; AWI_Envi; Calculated; calibrated; DATE/TIME; density; Density, snow; East Greenland Ice-core Project; EastGRIP; EastGRIP_transect; EGRIP; Greenland; Measured; Polar Terrestrial Environmental Systems @ AWI; Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint; SNOW; Snow/ice sample; Snow depth; SNOWISO; Specific surface area, snow; SSA; surface snow
    Type: Dataset
    Format: text/tab-separated-values, 8118 data points
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  • 7
    Publication Date: 2023-10-04
    Description: We present snow temperature data from the East Greenland Ice Core Drilling Project (EGRIP) location on the Greenland Ice Sheet during summer 2019. The data consists of calibrated 1s-snow temperature measurements taken with thermocouple Type T and averaged to 30min resolution. The time index indicates start of averaging period in UTC, the local time corresponds to UTC-2. Initial snow depth was 10cm. A corresponding accumulation record can be obtained from https://doi.org/10.22008/promice/data/aws from station EGP. Coordinates: 75°37′47′′N, 35°59′22′′W, 2700m a.s.l., Start of measurements: 25.05.2019 00:00 End of measurements: 29.07.2019 12:00
    Keywords: DATE/TIME; East Greenland Ice-core Project; EGRIP; EGRIP_camp; Greenland; Greenland ice sheet; MULT; Multiple investigations; Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint; snow; SNOWISO; Temperature; Temperature, ice/snow; Thermocouple Type T
    Type: Dataset
    Format: text/tab-separated-values, 3069 data points
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  • 8
    Publication Date: 2023-10-04
    Description: Processed 30 minute surface sensible and latent heat flux measured at 180cm above snow surface. The eddy covariance system included a Campbell Scientific CSAT3 and a Krypton Hygrometer KH20 which were directed into the mean wind. The latent heat flux was calculated assuming a latent heat of sublimation of 2835 J/g snow. Friction velocity and Monin-Obukhov stability parameter estimates are provided for convenience. The integration time was 10 minutes which was averaged to 30 minute resolution with the timestamps indicating the beginning of the 30 minute averaging period.
    Keywords: DATE/TIME; East Greenland Ice-core Project; Eddy-Covariance; EGRIP; EGRIP_camp; Friction velocity; Greenland; Greenland ice sheet; Heat, flux, latent; Heat, flux, sensible; latent and sensible heat; MULT; Multiple investigations; Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint; SNOWISO; Stability
    Type: Dataset
    Format: text/tab-separated-values, 14596 data points
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  • 9
    Publication Date: 2024-03-06
    Description: Throughout the summer seasons 2017 to 2019 snow profiles were taken repeatedly. The sample positions are aligned along a 300 m wind-parallel transect at the EastGRIP ice core deep drilling site. The snow was collected at 6 positions with a 20 – 50 m spacing. Snow was sampled using carbon fiber tubes of 1-m length that were pushed gently into the snow. A maximum compaction of 1 cm was observed during extraction. The snow cores were carefully removed from the carbon fiber tubes on the cutting table. The core was then cut into slices of 1 cm thickness for the upper 10 cm and 2 cm thickness for the lower 90 cm. The samples were placed into Whirl-Pak® bags and closed airtight. The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25 °C. Prior to measurements, the samples were melted in the sample bags at room temperature. For the measurement of the isotopic composition, the instrument Picarro L2130-i were used. The measurement set-up followed the Van-Geldern protocol (Van Geldern and Barth, 2012). Each sample was injected 4 times unless otherwise noted in the comment column. As a measure of accuracy, we calculated the combined standard uncertainty (Magnusson, et al., 2017) including the long-term reproducibility and bias of our laboratory by measuring a quality check standard in each measurement run and including the uncertainty of the certified standards. The combined uncertainty for δ18O is 0.11 ‰ and for δ2H is 0.8 ‰. Deuterium excess is calculated as both 1) d = dD - 8*d18O; (Merlivat and Jouzel, 1979) and 2) dln = ln(dD + 1) - 8.47(ln(d18O+1)) - 28.5(ln(d18O+1))2; (Uemura et al., 2012).
    Keywords: According to Merlivat and Jouzel (1979); According to Uemura et al. (2012); Cavity ring-down spectroscopy (CRDS), isotopic water analyzer L2130-i, Picarro Inc.; DATE/TIME; DEPTH, ice/snow; Deuterium excess; East Greenland Ice-core Project; EastGRIP; EastGRIP_transect; EGRIP; Greenland; ln-Deuterium excess; Position; Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint; SNOW; Snow/ice sample; snow-air exchange; SNOWISO; snow profiles; stable water isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 11963 data points
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  • 10
    Publication Date: 2024-03-18
    Description: Stable water vapor isotopologue data (~1Hz) from the 2m level above snow surface. The cavity ring-down spectroscopy instrument used was a Picarro L-2140i. The data was corrected for the humidity-isotope response of the instrument and the measurements referenced to the VSMOW-SLAP scale. The estimated precision is 0.23 ‰ for d18O and 1.4‰ for dD following Steen-Larsen et al. (2013). The measurements span a period from 25.05.2019-29.07.2019. The measurement site was co-located with the EastGRIP ice core site in the accumulation zone of the Greenland Ice Sheet.
    Keywords: DATE/TIME; East Greenland Ice-core Project; EastGRIP-Met; EGRIP; Picarro L2140-i instrument; Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint; SNOWISO; Water vapour mixing ratio; Weather station/meteorological observation; WST; δ18O, water vapour; δ Deuterium, water vapour
    Type: Dataset
    Format: text/tab-separated-values, 7361178 data points
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