ORCID Profile
0000-0003-1055-7235
Current Organisation
IT University of Copenhagen
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Publisher: Royal Society of Chemistry (RSC)
Date: 2012
DOI: 10.1039/C1JA10276A
Publisher: Elsevier BV
Date: 2011
Publisher: Copernicus GmbH
Date: 28-08-2017
Publisher: Copernicus GmbH
Date: 05-12-2012
Abstract: Abstract. Atmospheric fluxes of iron (Fe) over the past 200 kyr are reported for the coastal Antarctic Talos Dome ice core, based on acid leachable Fe concentrations. Fluxes of Fe to Talos Dome were consistently greater than those at Dome C, with the greatest difference observed during interglacial climates. We observe different Fe flux trends at Dome C and Talos Dome during the deglaciation and early Holocene, attributed to a combination of deglacial activation of dust sources local to Talos Dome and reorganization of atmospheric transport pathways with the retreat of the Ross Sea ice shelf. This supports similar findings based on dust particle sizes and fluxes and Rare Earth Element fluxes. We show that Ca and Fe should not be used as quantitative proxies for mineral dust, as they all demonstrate different deglacial trends at Talos Dome and Dome C. Considering that a 20 ppmv decrease in atmospheric CO2 at the coldest part of the last glacial maximum occurs contemporaneously with the period of greatest Fe and dust flux to Antarctica, we conclude that the maximum contribution of aeolian dust deposition to Southern Ocean sequestration of atmospheric CO2 is approximately 20 ppmv.
Publisher: Copernicus GmbH
Date: 16-03-2022
DOI: 10.5194/ESSD-14-1215-2022
Abstract: Abstract. Records of chemical impurities from ice cores enable us to reconstruct the past deposition of aerosols onto polar ice sheets and alpine glaciers. Through this they allow us to gain insight into changes of the source, transport and deposition processes that ultimately determine the deposition flux at the coring location. However, the low concentrations of the aerosol species in the ice and the resulting high risk of contamination pose a formidable analytical challenge, especially if long, continuous and highly resolved records are needed. Continuous flow analysis, CFA, the continuous melting, decontamination and analysis of ice-core s les has mostly overcome this issue and has quickly become the de facto standard to obtain high-resolution aerosol records from ice cores after its inception at the University of Bern in the mid-1990s. Here, we present continuous records of calcium (Ca2+), sodium (Na+), ammonium (NH4+), nitrate (NO3-) and electrolytic conductivity at 1 mm depth resolution from the NGRIP (North Greenland Ice Core Project) and NEEM (North Greenland Eemian Ice Drilling) ice cores produced by the Bern Continuous Flow Analysis group in the years 2000 to 2011 (Erhardt et al., 2021). Both of the records were previously used in a number of studies but were never published in full 1 mm resolution. Alongside the 1 mm datasets we provide decadal averages, a detailed description of the methods, relevant references, an assessment of the quality of the data and its usable resolution. Along the way we will also give some historical context on the development of the Bern CFA system. The data is available in full 1 mm and 10-year-averaged resolution on PANGAEA (0.1594/PANGAEA.935838, Erhardt et al., 2021)
Publisher: Copernicus GmbH
Date: 29-11-2017
DOI: 10.5194/CP-2017-149
Abstract: Abstract. The Klotz Abakus laser sensor and the Coulter Counter are both used for measuring the size distribution of insoluble mineral dust particles in ice cores. While the Coulter Counter measures particle volume accurately, the equivalent Abakus instrument measurement deviates substantially from the Coulter Counter depending on the type of s le. We show that the difference between the Abakus and the Coulter Counter measurements is mainly caused by the irregular shape of dust particles in ice core s les. The irregular shape leads means that the calibration routine based on standard spheres must be adjusted. This new calibration routine gives an increased accuracy on Abakus measurements, which may improve future ice core record intercomparisons. We derived an analytical model for extracting the aspect ratio of dust particles from the difference between Abakus and Coulter Counter data. For verification, we measured the aspect ratio of the same s les directly using a Single Particle Extinction and Scattering Instrument. The results demonstrate that the model is accurate enough to discern between s les of aspect ratio 0.3 and 0.4 using only the comparison of Abakus and Coulter Counter data.
Publisher: Elsevier BV
Date: 10-2003
Publisher: Springer Science and Business Media LLC
Date: 21-09-2016
DOI: 10.1038/SREP33925
Abstract: Reconstructing the past variability of Arctic sea ice provides an essential context for recent multi-year sea ice decline, although few quantitative reconstructions cover the Holocene period prior to the earliest historical records 1,200 years ago. Photochemical recycling of bromine is observed over first-year, or seasonal, sea ice in so-called “bromine explosions” and we employ a 1-D chemistry transport model to quantify processes of bromine enrichment over first-year sea ice and depositional transport over multi-year sea ice and land ice. We report bromine enrichment in the Northwest Greenland Eemian NEEM ice core since the end of the Eemian interglacial 120,000 years ago, finding the maximum extension of first-year sea ice occurred approximately 9,000 years ago during the Holocene climate optimum, when Greenland temperatures were 2 to 3 °C above present values. First-year sea ice extent was lowest during the glacial stadials suggesting complete coverage of the Arctic Ocean by multi-year sea ice. These findings demonstrate a clear relationship between temperature and first-year sea ice extent in the Arctic and suggest multi-year sea ice will continue to decline as polar lification drives Arctic temperatures beyond the 2 °C global average warming target of the recent COP21 Paris climate agreement.
Publisher: Copernicus GmbH
Date: 23-02-2021
Abstract: Abstract. Iron (Fe) is a key element in the Earth climate system, as it can enhance marine primary productivity in the high-nutrient low-chlorophyll (HNLC) regions where, despite a high concentration of major nutrients, chlorophyll production is low due to iron limitation. Eolian mineral dust represents one of the main Fe sources to the oceans thus, quantifying its variability over the last glacial cycle is crucial to evaluate its role in strengthening the biological carbon pump. Polar ice cores, which preserve detailed climate records in their stratigraphy, provide a sensitive and continuous archive for reconstructing past eolian Fe fluxes. Here, we show the Northern Hemisphere Fe record retrieved from the NEEM ice core (Greenland), which offers a unique opportunity to reconstruct the past Fe fluxes in a portion of the Arctic over the last 108 kyr. Holocene Fe fluxes (0.042–11.7 ka, 0.5 mg m−2 yr−1) at the NEEM site were 4 times lower than the average recorded over the last glacial period (11.7–108 ka, 2.0 mg m−2 yr−1), whereas they were greater during the Last Glacial Maximum (LGM 14.5–26.5 ka, 3.6 mg m−2 yr−1) and Marine Isotope Stage 4 (MIS 4 60–71 ka, 5.8 mg m−2 yr−1). Comparing the NEEM Fe record with paleoceanographic records retrieved from the HNLC North Pacific, we found that the coldest periods, characterized by the highest Fe fluxes, were distinguished by low marine primary productivity in the subarctic Pacific Ocean, likely due to the greater sea ice extent and the absence of major nutrients upwelling. This supports the hypothesis that Fe fertilization during colder and dustier periods (i.e., LGM and MIS 4) was more effective in other regions, such as the midlatitude North Pacific, where a closer relationship between marine productivity and the NEEM Fe fluxes was observed.
Publisher: Copernicus GmbH
Date: 18-12-2019
Abstract: Abstract. Atmospheric iodine chemistry has a large influence on the oxidizing capacity and associated radiative impacts in the troposphere. However, information on the evolution of past atmospheric iodine levels is restricted to the industrial period while its long-term natural variability remains unknown. The current levels of iodine in the atmosphere are controlled by anthropogenic ozone deposition to the ocean surface. Here, using high-resolution geochemical measurements from coastal eastern Greenland ReCAP (REnland ice CAP project) ice core, we report the first record of atmospheric iodine variability in the North Atlantic during the Holocene (i.e., the last 11 700 years). Surprisingly, our results reveal that the highest iodine concentrations in the record were found during the Holocene Thermal Maximum (HTM ∼ 11 500–5500 years before-present). These high iodine levels could be driven by marine primary productivity resulting in an Early Holocene “biological iodine explosion”. The high and stable iodine levels during this past warm period are a useful observational constraint on projections of future changes in Arctic atmospheric composition and climate resulting from global warming.
Publisher: Copernicus GmbH
Date: 27-03-2015
Publisher: Copernicus GmbH
Date: 08-05-2020
DOI: 10.5194/TC-2020-103
Abstract: Abstract. The Northeast Greenland Ice Stream (NEGIS) extends around 600 km upstream from the coast to its onset near the ice ide in interior Greenland. Several maps of surface velocity and topography in the interior Greenland exist, but the accuracy is not well constrained by in situ observations and limiting detailed studies of flow structures and shear margins near the onset of NEGIS. Here we present the results from a GPS mapping of surface velocity in an area located approximately 150 km from the ice ide near the East Greenland Ice-core Project (EastGRIP) deep drilling site (75°38’ N, 35°60’ W). A GPS strain net consisting of 63 poles was established and observed over the years 2015–2019. The strain net covers 35 km along NEGIS and 40 km across NEGIS, including both shear margins. The ice flows with a uniform surface speed of approximately 55 m a−1 within a 10 km wide central flow band with strain rates in the order of 10−4 a−1. The strain rates increase in the shear margins by an order of magnitude, and 10–20 m deep shear margin troughs mark a zone with enhanced longitudinal stretching, transverse compression and shear. We compare the GPS results to the Arctic Digital Elevation Model (ArcticDEM) and a list of satellite-based surface velocity products in order to evaluate these products. For each velocity product, we determine the bias and precision of the velocity compared to the GPS observations, as well as the smoothing of the velocity products needed to obtain optimal precision. The best products have a bias and precision of ~0.5 m a−1. We combine the GPS results with satellite-based products and show that organized patterns in flow and topography emerge in the NEGIS ice stream when the surface velocity exceeds approximately 55 m a−1 and are related to bedrock topography.
Publisher: Copernicus GmbH
Date: 28-02-2014
Abstract: Abstract. Biomass burning is a major source of greenhouse gases and influences regional to global climate. Pre-industrial fire-history records from black carbon, charcoal and other proxies provide baseline estimates of biomass burning at local to global scales, but there remains a need for broad-scale fire proxies that span millennia in order to understand the role of fire in the carbon cycle and climate system. We use the specific biomarker levoglucosan, and multi-source black carbon and ammonium concentrations to reconstruct fire activity from the North Greenland Eemian (NEEM) ice cores (77.49° N 51.2° W, 2480 m a.s.l.) over the past 2000 years. Increases in boreal fire activity (1000–1300 CE and 1500–1700 CE) over multi-decadal timescales coincide with the most extensive central and northern Asian droughts of the past two millennia. The NEEM biomass burning tracers coincide with temperature changes throughout much of the past 2000 years except for during the extreme droughts, when precipitation changes are the dominant factor. Many of these multi-annual droughts are caused by monsoon failures, thus suggesting a connection between low and high latitude climate processes. North America is a primary source of biomass burning aerosols due to its relative proximity to the NEEM c . During major fire events, however, isotopic analyses of dust, back-trajectories and links with levoglucosan peaks and regional drought reconstructions suggest that Siberia is also an important source of pyrogenic aerosols to Greenland.
Publisher: Copernicus GmbH
Date: 16-09-2014
Abstract: Abstract. The atmospheric chemistry of iodine and bromine in Polar regions is of interest due to the key role of halogens in many atmospheric processes, particularly tropospheric ozone destruction. Bromine is emitted from the open ocean but is enriched above first-year sea ice during springtime bromine explosion events, whereas iodine emission is attributed to biological communities in the open ocean and hosted by sea ice. It has been previously demonstrated that bromine and iodine are present in Antarctic ice over glacial–interglacial cycles. Here we investigate seasonal variability of bromine and iodine in polar snow and ice, to evaluate their emission, transport and deposition in Antarctica and the Arctic and better understand potential links to sea ice. We find that bromine and iodine concentrations and Br enrichment (relative to sea salt content) in polar ice do vary seasonally in Arctic snow and Antarctic ice. Although seasonal variability in halogen emission sources is recorded by satellite-based observations of tropospheric halogen concentrations, seasonal patterns observed in snowpack are likely also influenced by photolysis-driven processes. Peaks of bromine concentration and Br enrichment in Arctic snow and Antarctic ice occur in spring and summer, when sunlight is present. A secondary bromine peak, observed at the end of summer, is attributed to bromine deposition at the end of the polar day. Iodine concentrations are largest in winter Antarctic ice strata, contrary to contemporary observations of summer maxima in iodine emissions. These findings support previous observations of iodine peaks in winter snow strata attributed to the absence of sunlight-driven photolytic re-mobilisation of iodine from surface snow. Further investigation is required to confirm these proposed mechanisms explaining observations of halogens in polar snow and ice, and to evaluate the extent to which halogens may be applied as sea ice proxies.
Publisher: Copernicus GmbH
Date: 23-11-2016
DOI: 10.5194/TC-2016-244
Abstract: Abstract. Several abrupt shifts from periods of extreme cold (Greenland stadials, GS) to relatively warmer conditions (Greenland interstadials, GI) called Dansgaard-Oeschger events are recorded in the Greenland ice cores. Using cryo-cell UV-laser-ablation inductively-coupled-plasma mass spectrometry (UV-LA-ICPMS), we analysed a 2.85 m NGRIP ice core section (~ 250 years 2691.50–2688.65 m depth) across the transitions of GI-21.2, a short-lived interstadial prior to interstadial GI-21.1 (GI-21.2: 84.87–85.09 ka b2k). GI-21.2 is a ~ 100-year-long period with δ18O values 3–4 ‰ higher than the following ~ 200 years of stadial conditions (GS-21.2), which precede the major GI-21.1 warming. We report concentrations of "major" elements indicative of dust and/or sea salt (Na, Fe, Al, Ca, Mg) at a spatial resolution of ~ 200 μm, while maintaining detection limits in the low-ppb range, thereby achieving sub-annual time resolution even in deep NGRIP ice. We present an improved external calibration and quantification procedure using a set of five ice standards made from aqueous (international) standard solutions. Our results show that element concentrations decrease drastically (more than tenfold) at the warming onset of GI-21.2 at the scale of a single year, followed by relatively low concentrations characterizing the interstadial part before gradually reaching again typical stadial values.
Publisher: Copernicus GmbH
Date: 06-04-2020
DOI: 10.5194/CP-2020-41
Abstract: Abstract. The last glacial period is characterized by a number of abrupt climate events that have been identified in both Greenland and Antarctic ice cores. The mechanisms governing this climate variability remain a puzzle that requires a precise synchronization of ice cores from the two Hemispheres to be resolved. Previously, Greenland and Antarctic ice cores have been synchronized primarily via their common records of gas concentrations or isotopes from the trapped air and via cosmogenic isotopes measured on the ice. In this work, we apply ice-core volcanic proxies and annual layer counting to identify large volcanic eruptions that have left a signature in both Greenland and Antarctica. Generally, no tephra is associated with those eruptions in the ice cores, so the source of the eruptions cannot be identified. Instead, we identify and match sequences of volcanic eruptions with bipolar distribution of sulfate, i.e. unique patterns of volcanic events separated by the same number of years at the two poles. Using this approach, we pinpoint 80 large bipolar volcanic eruptions throughout the second half of the last glacial period (12–60 ka before present). This improved ice-core synchronization is applied to determine the bipolar phasing of abrupt climate change events at decadal-scale precision. During abrupt transitions, we find more coherent Antarctic water isotopic signals (δ18O and deuterium excess) than was obtained from previous gas-based synchronizations, providing additional support for our volcanic framework. On average, the Antarctic bipolar seesaw climate response lags the midpoint of Greenland abrupt δ18O transitions by 122 ± 24 years. The time difference between Antarctic signals in deuterium excess and δ18O, which is less sensitive to synchronization errors, suggests an Antarctic δ18O lag of 152 ± 37 years. These estimates are shorter than the 200 years suggested by earlier gas-based synchronizations. As before, we find variations in the timing and duration between the response at different sites and for different events suggesting an interaction of oceanic and atmospheric teleconnection patterns as well as internal climate variability.
Publisher: Copernicus GmbH
Date: 22-03-2021
Publisher: Elsevier BV
Date: 03-2005
Publisher: Copernicus GmbH
Date: 16-08-2021
DOI: 10.5194/CP-2021-99
Abstract: Abstract. Greenland ice cores provide information about past climate. However, the number of firn and ice cores from Greenland are limited and thus the spatial variability of the chemical impurities used as proxies is largely unconstrained. Furthermore, few impurity records covering the past two decades exist from Greenland. We have by means of Continuous Flow analysis investigated 6 shallow firn cores obtained in Northern Greenland as part of the NEEM to EastGRIP traverse in 2015. The oldest reach back to 1966. The annual mean and quartiles of the insoluble dust, ammonium, and calcium concentrations in the 6 firn cores spanning a distance of 426 km overlap, and also the seasonal cycles have similar peaks in timing and magnitude across sites. Peroxide (H2O2) is accumulation dependent and varies from site to site and conductivity, likely influenced by sea salts, also vary spatially. The temporal variability of the records is further assessed. We find no evidence for increases in total dust concentration, but find an increase in the large dust particle fluxes that we contribute to an activation of Greenland local sources in the recent years (1998–2015). We observe the expected acid and conductivity increase in the mid 70’s as a result of anthropogenic contamination and the following decrease due to mitigation. After detrending using the five year average the conductivity and acid records several volcanic horizons were identified and associated with Icelandic eruptions and volcanic eruptions in the Barents sea region. By creating a composite based on excess ammonium compared to the five year running average, we obtain a robust forest fire proxy associated primarily with Canadian forest fires (R = 0.51). We also note that the peak ammonium in the in idual firn cores appear more scattered between cores than the peak volcanic layers, suggesting that the forest fire signal is more dispersed in the atmosphere than the acid from volcanic eruptions.
Publisher: Springer Science and Business Media LLC
Date: 22-10-2018
DOI: 10.1038/S41598-018-33859-0
Abstract: Dust concentrations in Greenland ice show pronounced glacial/interglacial variations with almost two orders of magnitude increase during the Last Glacial Maximum. Greenland glacial dust was previously sourced to two East Asian deserts: the Taklimakan and Gobi deserts. Here we report the first high-resolution Pb and Sr isotopic evidence for a significant Saharan dust influence in Greenland during the last glacial period, back to ~31 kyr ago, from the Greenland NEEM ice core. We find that during Greenland Stadials 3–5.1 (~31 to 23 kyr ago), the primary dust provenance was East Asia, as previously proposed. Subsequently, the Saharan isotopic signals emerge during Greenland Stadials 2.1a–2.1c (~22.6 to 14.7 kyr ago) and from the late Bølling-Allerød to the Younger Dryas periods (~13.6 to 12 kyr ago), coincident with increased aridity in the Sahara and efficient northward transport of dust during these cold periods. A mixing isotopic model proposes the Sahara as an important source, accounting for contribution to Greenland glacial dust of up to 50%, particularly during Greenland Stadial 2.1b and the late Bølling-Allerød to the Younger Dryas periods. Our findings provide new insights into climate-related dust provenance changes and essential paleoclimatic constraints on dust-climate feedbacks in northern high latitudes.
Publisher: Copernicus GmbH
Date: 29-10-2014
Abstract: Abstract. Biomass burning is a major source of greenhouse gases and influences regional to global climate. Pre-industrial fire-history records from black carbon, charcoal and other proxies provide baseline estimates of biomass burning at local to global scales spanning millennia, and are thus useful to examine the role of fire in the carbon cycle and climate system. Here we use the specific biomarker levoglucosan together with black carbon and ammonium concentrations from the North Greenland Eemian (NEEM) ice cores (77.49° N, 51.2° W 2480 m a.s.l) over the past 2000 years to infer changes in boreal fire activity. Increases in boreal fire activity over the periods 1000–1300 CE and decreases during 700–900 CE coincide with high-latitude NH temperature changes. Levoglucosan concentrations in the NEEM ice cores peak between 1500 and 1700 CE, and most levoglucosan spikes coincide with the most extensive central and northern Asian droughts of the past millennium. Many of these multi-annual droughts are caused by Asian monsoon failures, thus suggesting a connection between low- and high-latitude climate processes. North America is a primary source of biomass burning aerosols due to its relative proximity to the Greenland Ice Cap. During major fire events, however, isotopic analyses of dust, back trajectories and links with levoglucosan peaks and regional drought reconstructions suggest that Siberia is also an important source of pyrogenic aerosols to Greenland.
Publisher: American Geophysical Union (AGU)
Date: 19-11-2016
DOI: 10.1002/2016GL071042
Publisher: Copernicus GmbH
Date: 21-12-2017
DOI: 10.5194/CP-2017-158
Abstract: Abstract. Abstract. High latitude Southern Hemisphere fire history was reconstructed by determining the specific biomarker levoglucosan in ice cores from the TALos Dome Ice CorE drilling project (TALDICE) during the Mid-Late Holocene (750–6000 yr BP). Potassium was also analyzed in order to provide a comparison with another fire proxy to create a more robust biomass burning record. The levoglucosan record is characterized by a long-term increase with higher rates starting at ~ 4000 yr BP and higher peaks between 1500 and 2500 yr BP. Comparisons with charcoal syntheses help evaluate fire sources, showing a possible higher contribution from Patagonian fires rather than Australian biomass burning. We interpret the anomalous increase in levoglucosan centred at ~ 2000 yr BP as a combination of the atmospheric transport pathway and the interplay between climatic factors.
Publisher: Springer Science and Business Media LLC
Date: 23-09-2022
DOI: 10.1038/S41467-022-32999-2
Abstract: Mass loss near the ice-sheet margin is evident from remote sensing as frontal retreat and increases in ice velocities. Velocities in the ice sheet interior are orders of magnitude smaller, making it challenging to detect velocity change. Here, we analyze a 35-year record of remotely sensed velocities, and a 6-year record of repeated GPS observations, at the East Greenland Ice-core Project (EastGRIP), located in the middle of the Northeast-Greenland Ice Stream (NEGIS). We find that the shear margins of NEGIS are accelerating, indicating a widening of the ice stream. We demonstrate that the widening of the ice stream is unlikely to be a response to recent changes at the outlets of NEGIS. Modelling indicates that the observed spatial fingerprint of acceleration is more consistent with a softening of the shear margin, e.g. due to evolving fabric or temperature, than a response to external forcing at the surface or bed.
Publisher: Copernicus GmbH
Date: 27-02-2017
Abstract: Abstract. The Law Dome site is ideal for the evaluation of sea ice proxies due to its location near to the Antarctic coast, regular and high accumulation throughout the year, an absence of surface melting or remobilization, and minimal multiyear sea ice. We present records of bromine and iodine concentrations and their enrichment beyond seawater compositions and compare these to satellite observations of first-year sea ice area in the 90–130° E sector of the Wilkes coast. Our findings support the results of previous studies of sea ice variability from Law Dome, indicating that Wilkes coast sea ice area is currently at its lowest level since the start of the 20th century. From the Law Dome DSS1213 firn core, 26 years of monthly deposition data indicate that the period of peak bromine enrichment is during austral spring–summer, from November to February. Results from a traverse along the lee (western) side of Law Dome show low levels of sodium and bromine deposition, with the greatest fluxes in the vicinity of the Law Dome summit. Finally, multidecadal variability in iodine enrichment appears well correlated to bromine enrichment, suggesting a common source of variability that may be related to the Interdecadal Pacific Oscillation (IPO).
Publisher: Copernicus GmbH
Date: 04-03-2021
DOI: 10.5194/EGUSPHERE-EGU21-11820
Abstract: & & & span& & span& The Dye-3 ice core was drilled to bedrock at the Southern part of the central Greenland ice sheet (65& #176 'N, 43& #176 'W) in 1979-1981. The southern location is characterized by high accumulation rates compared to more central locations of the ice sheet. Since its drilling, numerous analyses of the core have been performed, and the ice has since been in freezer storage both in the USA and in Denmark.& /span& & /span& & / & & & & span& In October and November 2019, the remaining ice, two mostly complete sections covering the depths of 1753& #8211 m and 1865& #8211 m of the Dye-3 core, were melted during a continuous flow analysis (CFA) c aign at the Physics of Ice, Climate, and Earth (PICE) group at the University of Copenhagen. The data represents both Holocene, Younger Dryas and Glacial sections (GS 5 to 12).& /span& & / & & & & & / & & & & span& & span& The measured data consist chemistry and impurities contained in the ice, isotopes, as well as analysis of methane and other atmospheric gases.& & /span& & /span& & / & & & & span& & span& The chemistry measurements include NH& /span& & /span& & span& & span& & sub& & /sub& & /span& & /span& & span& & span& & sup& +& /sup& & /span& & /span& & span& & span& , Ca& /span& & /span& & span& & span& & sup& +& /sup& & /span& & /span& & span& & span& , and Na& /span& & /span& & span& & span& & sup& +& /sup& & /span& & /span& & span& & span& & ions, which besides being influenced by transport, provide information about forest fires, wind-blown dust, and sea ice, respectively, as well as acidity, which aids in the identification of volcanic events contained in the core. The quantity and grain size distribution of insoluble particles was analyzed by means of an Abakus laser particle counter.& /span& & /span& & / & & & & & / & & & & span& We compare the new high-resolution CFA record of dye3 with previous analysis and thus evaluate the progress made over 40 years. Further we compare overlapping time periods with other central Greenland ice cores and discuss spatial patterns in relation to the presented climate proxies.& /span& & / &
Publisher: Copernicus GmbH
Date: 26-06-2018
DOI: 10.5194/CP-2018-68
Abstract: Abstract. In 2013, an ice core was recovered from Roosevelt Island in the Ross Sea, Antarctica, as part of the Roosevelt Island Climate Evolution (RICE) project. Roosevelt Island is located between two submarine troughs carved by paleo-ice-streams. The RICE ice core provides new important information about the past configuration of the West Antarctic Ice Sheet and its retreat during the most recent deglaciation. In this work, we present the RICE17 chronology and discuss preliminary observations from the new records of methane, the isotopic composition of atmospheric molecular oxygen (δ18O-Oatm), the isotopic composition of atmospheric molecular nitrogen (δ15N-N2) and total air content (TAC). RICE17 is a composite chronology combining annual layer interpretations, gas synchronization, and firn modeling strategies in different sections of the core. An automated matching algorithm is developed for synchronizing the high-resolution section of the RICE gas records (60–720 m, 1971 CE to 30 ka) to corresponding records from the WAIS Divide ice core, while deeper sections are manually matched. Ice age for the top 343 m (2635 yr BP, before 1950 C.E.) is derived from annual layer interpretations and described in the accompanying paper by Winstrup et al. (2017). For deeper sections, the RICE17 ice age scale is based on the gas age constraints and the ice age-gas age offset estimated by a firn densification model. Novel aspects of this work include: 1) stratigraphic matching of centennial-scale variations in methane for pre-anthropogenic time periods, a strategy which will be applicable for developing precise chronologies for future ice cores, 2) the observation of centennial-scale variability in methane throughout the Holocene which suggests that similar variations during the late preindustrial period need not be anthropogenic, and 3) the observation of continuous climate records dating back to ∼ 65 ka which provide evidence that the Roosevelt Island Ice Dome was a constant feature throughout the last glacial period.
Publisher: Copernicus GmbH
Date: 28-03-2017
DOI: 10.5194/CP-2017-18
Abstract: Abstract. Here we review Antarctic snow accumulation variability, at the regional scale, over the past 1000 years. A total of 80 ice core snow accumulation records were gathered, as part of a community led project coordinated by the PAGES Antarctica 2k working group. The ice cores were assigned to seven geographical regions, separating the high accumulation coastal zones below 2000 m elevation from the dry central Antarctic Plateau. The regional composites of annual snow accumulation were evaluated against modelled surface mass balance (SMB) from RACMO2.4 and precipitation from ERA-interim reanalysis. With the exception of the Weddell Sea coast, the low-elevation composites capture the regional precipitation and SMB variability. The central Antarctic sites lack coherency and are either not representing regional precipitation or indicate the models inability to capture relevant precipitation processes in the cold, dry central plateau. The drivers of precipitation are reviewed for each region and the temporal variability and trends evaluated over the past 100, 200 and 1000 years. Our study suggests an overall increase in SMB across the grounded Antarctic ice sheet of ~ 44 GT since 1800 AD, with the largest (area-weighted) contribution from the Antarctic Peninsula (AP). Only four ice core records cover the full 1000 years and suggest a decrease in snow accumulation during this period. However, our study emphasizes the importance of low elevation coastal zones (especially AP and DML), which have been underrepresented in previous investigations of temporal snow accumulation.
Publisher: Copernicus GmbH
Date: 10-04-2019
Abstract: Abstract. We present a 2700-year annually resolved chronology and snow accumulation history for the Roosevelt Island Climate Evolution (RICE) ice core, Ross Ice Shelf, West Antarctica. The core adds information on past accumulation changes in an otherwise poorly constrained sector of Antarctica. The timescale was constructed by identifying annual cycles in high-resolution impurity records, and it constitutes the top part of the Roosevelt Island Ice Core Chronology 2017 (RICE17). Validation by volcanic and methane matching to the WD2014 chronology from the WAIS Divide ice core shows that the two timescales are in excellent agreement. In a companion paper, gas matching to WAIS Divide is used to extend the timescale for the deeper part of the core in which annual layers cannot be identified. Based on the annually resolved timescale, we produced a record of past snow accumulation at Roosevelt Island. The accumulation history shows that Roosevelt Island experienced slightly increasing accumulation rates between 700 BCE and 1300 CE, with an average accumulation of 0.25±0.02 m water equivalent (w.e.) per year. Since 1300 CE, trends in the accumulation rate have been consistently negative, with an acceleration in the rate of decline after the mid-17th century. The current accumulation rate at Roosevelt Island is 0.210±0.002 m w.e. yr−1 (average since 1965 CE, ±2σ), and it is rapidly declining with a trend corresponding to 0.8 mm yr−2. The decline observed since the mid-1960s is 8 times faster than the long-term decreasing trend taking place over the previous centuries, with decadal mean accumulation rates consistently being below average. Previous research has shown a strong link between Roosevelt Island accumulation rates and the location and intensity of the Amundsen Sea Low, which has a significant impact on regional sea-ice extent. The decrease in accumulation rates at Roosevelt Island may therefore be explained in terms of a recent strengthening of the ASL and the expansion of sea ice in the eastern Ross Sea. The start of the rapid decrease in RICE accumulation rates observed in 1965 CE may thus mark the onset of significant increases in regional sea-ice extent.
Publisher: Copernicus GmbH
Date: 13-07-2016
Publisher: Copernicus GmbH
Date: 08-2017
DOI: 10.5194/CP-2017-95
Abstract: Abstract. High-resolution, well-dated climate archives provide an opportunity to investigate the dynamic interactions of climate patterns relevant for future projections. Here, we present data from a new, annually-dated ice core record from the eastern Ross Sea. Comparison of the Roosevelt Island Climate Evolution (RICE) ice core records with climate reanalysis data for the 1979–2012 calibration period shows that RICE records reliably capture temperature and snow precipitation variability of the region. RICE is compared with data from West Antarctica (West Antarctic Ice Sheet Divide Ice Core) and the western (Talos Dome) and eastern (Siple Dome) Ross Sea. For most of the past 2,700 years, the eastern Ross Sea was warming with perhaps increased snow accumulation and decreased sea ice extent. However, West Antarctica cooled whereas the western Ross Sea showed no significant temperature trend. From the 17th Century onwards, this relationship changes. All three regions now show signs of warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea, but increasing in the western Ross Sea. Analysis of decadal to centennial-scale climate variability superimposed on the longer term trend reveal that periods characterised by opposing temperature trends between the Eastern and Western Ross Sea have occurred since the 3rd Century but are masked by longer-term trends. This pattern here is referred to as the Ross Sea Dipole, caused by a sensitive response of the region to dynamic interactions of the Southern Annual Mode and tropical forcings.
Publisher: Copernicus GmbH
Date: 19-06-2015
Abstract: Abstract. Antarctic ice cores have been used to study the history of black carbon (BC), but little is known with regards to the physical and chemical characteristics of these particles in the remote atmosphere. Characterization remains limited by ultra-trace concentrations in ice core s les and the lack of adequate methods to isolate the particles unaltered from the melt water. To investigate the physical and chemical characteristics of these particles, we have developed a tangential flow filtration (TFF) method combined with transmission electron microscopy (TEM). Tests using ultrapure water and polystyrene latex particle standards resulted in excellent blanks and significant particle recovery. This approach has been applied to melt water from Antarctic ice cores as well as tropical rain from Darwin, Australia with successful results: TEM analysis revealed a variety of BC particle morphologies, insoluble coatings, and the attachment of BC to mineral dust particles. The TFF-based concentration of these particles has proven to give excellent results for TEM studies of BC particles in Antarctic ice cores and can be used for future studies of insoluble aerosols in rainwater and ice core s les.
Publisher: Copernicus GmbH
Date: 06-04-2020
Publisher: Copernicus GmbH
Date: 26-01-2016
Abstract: Abstract. The role of sea ice in the Earth climate system is still under debate, although it is known to influence albedo, ocean circulation, and atmosphere–ocean heat and gas exchange. Here we present a reconstruction of 1950 to 1998 AD sea ice in the Laptev Sea based on the Akademii Nauk ice core (Severnaya Zemlya, Russian Arctic). The chemistry of halogens bromine (Br) and iodine (I) is strongly active and influenced by sea ice dynamics, in terms of physical, chemical and biological process. Bromine reacts on the sea ice surface in autocatalyzing "bromine explosion" events, causing an enrichment of the Br / Na ratio and hence a bromine excess (Brexc) in snow compared to that in seawater. Iodine is suggested to be emitted from algal communities growing under sea ice. The results suggest a connection between Brexc and spring sea ice area, as well as a connection between iodine concentration and summer sea ice area. The correlation coefficients obtained between Brexc and spring sea ice (r = 0.44) as well as between iodine and summer sea ice (r = 0.50) for the Laptev Sea suggest that these two halogens could become good candidates for extended reconstructions of past sea ice changes in the Arctic.
Publisher: Copernicus GmbH
Date: 22-03-2021
DOI: 10.5194/CP-2021-26
Abstract: Abstract. Biomass burning influences global atmospheric chemistry by releasing greenhouse gases and climate-forcing aerosols. There is controversy about the magnitude and timing of Holocene changes in biomass burning emissions from millennial to centennial time scales and, in particular, on the possible impact of ancient civilizations. Here we present a 5 kyr record of fire activity proxies levoglucosan, black carbon and ammonium measured in the RECAP ice core, drilled in the coastal East Greenland and therefore affected by processes occurring in the High North Atlantic Region. Levoglucosan and ammonium fluxes show high levels from 5 to 4.5 kyr followed by an abrupt decline, possibly due to monotonic decline in Northern Hemisphere summer insolation. Levoglucosan and black carbon show an abrupt decline at 1.1 kyr BP (before 2000 AD), suggesting a decline in wildfire regime in the Icelandic territory due to the extensive land clearing caused by Viking colonizers. A minimum is reached at 0.5 kyr BP for all fire proxies, after which levoglucosan and ammonium fluxes increase again, in particular over the last 200 years. We find that the fire regime reconstructed from RECAP fluxes seems mainly related to climatic changes, however over the last millennium human activities might have had a substantial influence controlling the occurrence of fire.
Publisher: Copernicus GmbH
Date: 19-03-2013
Abstract: Abstract. The Toba eruption that occurred some 74 ka ago in Sumatra, Indonesia, is among the largest volcanic events on Earth over the last 2 million years. Tephra from this eruption has been spread over vast areas in Asia, where it constitutes a major time marker close to the Marine Isotope Stage 4/5 boundary. As yet, no tephra associated with Toba has been identified in Greenland or Antarctic ice cores. Based on new accurate dating of Toba tephra and on accurately dated European stalagmites, the Toba event is known to occur between the onsets of Greenland interstadials (GI) 19 and 20. Furthermore, the existing linking of Greenland and Antarctic ice cores by gas records and by the bipolar seesaw hypothesis suggests that the Antarctic counterpart is situated between Antarctic Isotope Maxima (AIM) 19 and 20. In this work we suggest a direct synchronization of Greenland (NGRIP) and Antarctic (EDML) ice cores at the Toba eruption based on matching of a pattern of bipolar volcanic spikes. Annual layer counting between volcanic spikes in both cores allows for a unique match. We first demonstrate this bipolar matching technique at the already synchronized Lasch geomagnetic excursion (41 ka BP) before we apply it to the suggested Toba interval. The Toba synchronization pattern covers some 2000 yr in GI-20 and AIM-19/20 and includes nine acidity peaks that are recognized in both ice cores. The suggested bipolar Toba synchronization has decadal precision. It thus allows a determination of the exact phasing of inter-hemispheric climate in a time interval of poorly constrained ice core records, and it allows for a discussion of the climatic impact of the Toba eruption in a global perspective. The bipolar linking gives no support for a long-term global cooling caused by the Toba eruption as Antarctica experiences a major warming shortly after the event. Furthermore, our bipolar match provides a way to place palaeo-environmental records other than ice cores into a precise climatic context.
Publisher: Cambridge University Press (CUP)
Date: 16-03-2018
DOI: 10.1017/JOG.2018.19
Abstract: Brittle ice, which occurs in all intermediate-depth and deep ice cores retrieved from high-latitude regions, presents a challenge for high-resolution measurements of water isotopes, gases, ions and other quantities conducted with continuous flow analysis (CFA). We present a novel method of preserving brittle ice for CFA stable water isotope measurements using data from a new ice core recovered by the Roosevelt Island Climate Evolution (RICE) project. Modest modification of the drilling technique and the accommodation of non-horizontal fractures (‘slanted breaks’) in processing led to a substantial improvement in the percentage of brittle ice analyzed with CFA (87.8%). Whereas traditional processing methods remove entire fragmented pieces of ice, our method allowed the incorporation of a total of 3 m of ice (1% of the 261 m of brittle ice and ~1300 years of climate history) that otherwise would not have been available for CFA. Using the RICE stable water isotope CFA dataset, we demonstrate the effect of slanted breaks and analyze the resulting smoothing of the data with real and simulated ex les. Our results suggest that retaining slanted breaks are a promising technique for preserving brittle ice material for CFA stable water isotope measurements.
Publisher: Elsevier BV
Date: 10-2021
Publisher: Copernicus GmbH
Date: 28-02-2014
Publisher: Copernicus GmbH
Date: 31-05-2017
Abstract: Abstract. Several abrupt shifts from periods of extreme cold (Greenland stadials, GS) to relatively warmer conditions (Greenland interstadials, GI) called Dansgaard–Oeschger events are recorded in the Greenland ice cores. Using cryo-cell UV-laser-ablation inductively coupled-plasma mass spectrometry (UV-LA-ICPMS), we analysed a 2.85 m NGRIP ice core section (2691.50–2688.65 m depth, age interval 84.86–85.09 ka b2k, thus covering ∼ 230 years) across the transitions of GI-21.2, a short-lived interstadial prior to interstadial GI-21.1. GI-21.2 is a ∼ 100-year long period with δ18O values 3–4 ‰ higher than the following ∼ 200 years of stadial conditions (GS-21.2), which precede the major GI-21.1 warming. We report concentrations of major elements indicative of dust and/or sea salt (Na, Fe, Al, Ca, Mg) at a spatial resolution of ∼ 200 µm, while maintaining detection limits in the low-ppb range, thereby achieving sub-annual time resolution even in deep NGRIP ice. We present an improved external calibration and quantification procedure using a set of five ice standards made from aqueous (international) standard solutions. Our results show that element concentrations decrease drastically (more than 10-fold) at the warming onset of GI-21.2 at the scale of a single year, followed by relatively low concentrations characterizing the interstadial part before gradually reaching again typical stadial values.
Publisher: Copernicus GmbH
Date: 19-08-2020
Abstract: Abstract. The last glacial period is characterized by a number of millennial climate events that have been identified in both Greenland and Antarctic ice cores and that are abrupt in Greenland climate records. The mechanisms governing this climate variability remain a puzzle that requires a precise synchronization of ice cores from the two hemispheres to be resolved. Previously, Greenland and Antarctic ice cores have been synchronized primarily via their common records of gas concentrations or isotopes from the trapped air and via cosmogenic isotopes measured on the ice. In this work, we apply ice core volcanic proxies and annual layer counting to identify large volcanic eruptions that have left a signature in both Greenland and Antarctica. Generally, no tephra is associated with those eruptions in the ice cores, so the source of the eruptions cannot be identified. Instead, we identify and match sequences of volcanic eruptions with bipolar distribution of sulfate, i.e. unique patterns of volcanic events separated by the same number of years at the two poles. Using this approach, we pinpoint 82 large bipolar volcanic eruptions throughout the second half of the last glacial period (12–60 ka). This improved ice core synchronization is applied to determine the bipolar phasing of abrupt climate change events at decadal-scale precision. In response to Greenland abrupt climatic transitions, we find a response in the Antarctic water isotope signals (δ18O and deuterium excess) that is both more immediate and more abrupt than that found with previous gas-based interpolar synchronizations, providing additional support for our volcanic framework. On average, the Antarctic bipolar seesaw climate response lags the midpoint of Greenland abrupt δ18O transitions by 122±24 years. The time difference between Antarctic signals in deuterium excess and δ18O, which likewise informs the time needed to propagate the signal as described by the theory of the bipolar seesaw but is less sensitive to synchronization errors, suggests an Antarctic δ18O lag behind Greenland of 152±37 years. These estimates are shorter than the 200 years suggested by earlier gas-based synchronizations. As before, we find variations in the timing and duration between the response at different sites and for different events suggesting an interaction of oceanic and atmospheric teleconnection patterns as well as internal climate variability.
Publisher: Copernicus GmbH
Date: 24-01-2014
Abstract: Abstract. The Northeast Greenland Ice Stream (NEGIS) is the sole interior Greenlandic ice stream. Fast flow initiates near the summit dome, and the ice stream terminates approximately 1000 km downstream in three large outlet glaciers that calve into the Greenland Sea. To better understand this important system, in the summer of 2012 we drilled a 67 m firn core and conducted ground-based radio-echo sounding (RES) and active-source seismic surveys at a site approximately 150 km downstream from the onset of streaming flow (NEGIS firn core, 75° 37.61' N, 35°56.49' W). The site is representative of the upper part of the ice stream, while also being in a crevasse-free area for safe surface operations. Annual cycles were observed for insoluble dust, sodium and ammonium concentrations and for electrolytic conductivity, allowing a seasonally resolved chronology covering the past 400 yr. Annual layer thicknesses averaged 0.11 m ice equivalent (i.e.) for the period 1607–2011, although accumulation varied between 0.08 and 0.14 m i.e., likely due to flow-related changes in surface topography. Tracing of RES layers from the NGRIP ice core site shows that the ice at NEGIS preserves a climatic record of at least the past 51 kyr. We demonstrate that a deep ice core drilling in this location can provide a reliable Holocene and late-glacial climate record, as well as helping to constrain the past dynamics and ice-lithosphere interactions of the Greenland Ice Sheet.
Publisher: American Geophysical Union (AGU)
Date: 27-10-2015
DOI: 10.1002/2015JD023559
Publisher: Copernicus GmbH
Date: 17-10-2016
DOI: 10.5194/TC-2016-220
Abstract: Abstract. Halogen chemistry in the polar regions occurs through the release of sea salt rich aerosols from sea ice surfaces and organic compounds from algae colonies living within the sea ice environment. Measurements of halogen species in polar snow s les are limited to a few sites although they are shown to be closely related to sea ice extent. We examine here total bromine, iodine and sodium concentrations in a series of 2 m cores collected during a traverse from Talos Dome (72°48' S, 159°06' E) to GV7 (70°41' S, 158°51' E), analyzed by Inductively Coupled Plasma Sector Field Mass Spectrometry (ICP-SFMS) at a resolution of 5 cm. We find a distinct seasonality of the bromine enrichment signal in all cores, with maxima during the austral late spring. Iodine showed average concentrations of 0.04 ppb with little variability. No distinct seasonality was found for iodine and sodium. The transect revealed homogeneous fluxes for the three chemical species along the transect, due to competing effects of air masses originating from the Ross Sea and the Southern Ocean. The flux measurements are consistent with the uniform values of BrO and IO detected from satellite observations. Similar trends are found for annual bromine enrichment and 130–190° E First Year Sea Ice for the 2010–2013 period.
Publisher: International Glaciological Society
Date: 2004
DOI: 10.3189/172756404781814483
Abstract: A selection of elements (Bi, Ca, Cd, Co, Cu, Mn, Na, Sr, U, V, Zn) were measured by high-resolution inductively coupled plasma sector-field mass spectrometry in firn- and ice-core s les from Law Dome, Antarctica, corresponding to the period 4500 BC to AD 1989. Concentrations of rock dust and sea salts were calculated for each s le and then used to determine concentrations of each element originating from crustal and marine aerosol emissions, respectively. Where calculated contributions from crustal and marine aerosol sources failed to account for the total measured concentration of an element, the remainder was apportioned to volcanic and/or anthropogenic sources and defined as an enrichment. On this basis, it was determined that Bi and Cd concentrations in Law Dome ice are overwhelmingly influenced by volcanic emissions (enrichments 150–250x crustal and marine inputs) Co, Cu, Pb and Zn concentrations in Law Dome ice are largely influenced by volcanic emissions (enrichments 16–36x crustal and marine inputs) and Mn, Sr, U and V concentrations in Law Dome ice are minimally influenced by volcanic emissions (enrichments 1.5–4x crustal and marine inputs). During the 20th century, enrichments of Pb and Cu concentrations were observed to be greater than in earlier centuries, consistent with increasing anthropogenic emissions of Pb and Cu in the Southern Hemisphere over that period.
Publisher: Copernicus GmbH
Date: 21-02-2018
Abstract: Abstract. High-resolution, well-dated climate archives provide an opportunity to investigate the dynamic interactions of climate patterns relevant for future projections. Here, we present data from a new, annually dated ice core record from the eastern Ross Sea, named the Roosevelt Island Climate Evolution (RICE) ice core. Comparison of this record with climate reanalysis data for the 1979–2012 interval shows that RICE reliably captures temperature and snow precipitation variability in the region. Trends over the past 2700 years in RICE are shown to be distinct from those in West Antarctica and the western Ross Sea captured by other ice cores. For most of this interval, the eastern Ross Sea was warming (or showing isotopic enrichment for other reasons), with increased snow accumulation and perhaps decreased sea ice concentration. However, West Antarctica cooled and the western Ross Sea showed no significant isotope temperature trend. This pattern here is referred to as the Ross Sea Dipole. Notably, during the Little Ice Age, West Antarctica and the western Ross Sea experienced colder than average temperatures, while the eastern Ross Sea underwent a period of warming or increased isotopic enrichment. From the 17th century onwards, this dipole relationship changed. All three regions show current warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea but increasing in the western Ross Sea. We interpret this pattern as reflecting an increase in sea ice in the eastern Ross Sea with perhaps the establishment of a modern Roosevelt Island polynya as a local moisture source for RICE.
Publisher: Elsevier BV
Date: 06-2003
Publisher: Copernicus GmbH
Date: 11-01-2021
Publisher: Royal Society of Chemistry (RSC)
Date: 2016
DOI: 10.1039/C5JA00408J
Abstract: Despite the occurrence of spectral interference, memory effects and the characteristic low sensitivity, isotopic analysis of Cl in seawater can be successfully performed using PN-MC-ICP-MS.
Publisher: Elsevier BV
Date: 02-2002
Publisher: Proceedings of the National Academy of Sciences
Date: 24-10-2022
Abstract: Sea ice decline in the North Atlantic and Nordic Seas has been proposed to contribute to the repeated abrupt atmospheric warmings recorded in Greenland ice cores during the last glacial period, known as Dansgaard-Oeschger (D-O) events. However, the understanding of how sea ice changes were coupled with abrupt climate changes during D-O events has remained incomplete due to a lack of suitable high-resolution sea ice proxy records from northwestern North Atlantic regions. Here, we present a subdecadal-scale bromine enrichment (Br enr ) record from the NEEM ice core (Northwest Greenland) and sediment core biomarker records to reconstruct the variability of seasonal sea ice in the Baffin Bay and Labrador Sea over a suite of D-O events between 34 and 42 ka. Our results reveal repeated shifts between stable, multiyear sea ice (MYSI) conditions during cold stadials and unstable, seasonal sea ice conditions during warmer interstadials. The shift from stadial to interstadial sea ice conditions occurred rapidly and synchronously with the atmospheric warming over Greenland, while the litude of high-frequency sea ice fluctuations increased through interstadials. Our findings suggest that the rapid replacement of widespread MYSI with seasonal sea ice lified the abrupt climate warming over the course of D-O events and highlight the role of feedbacks associated with late-interstadial seasonal sea ice expansion in driving the North Atlantic ocean–climate system back to stadial conditions.
Publisher: Copernicus GmbH
Date: 03-05-2018
Abstract: Abstract. The Klotz Abakus laser sensor and the Coulter counter are both used for measuring the size distribution of insoluble mineral dust particles in ice cores. While the Coulter counter measures particle volume accurately, the equivalent Abakus instrument measurement deviates substantially from the Coulter counter. We show that the difference between the Abakus and the Coulter counter measurements is mainly caused by the irregular shape of dust particles in ice core s les. The irregular shape means that a new calibration routine based on standard spheres is necessary for obtaining fully comparable data. This new calibration routine gives an increased accuracy to Abakus measurements, which may improve future ice core record intercomparisons. We derived an analytical model for extracting the aspect ratio of dust particles from the difference between Abakus and Coulter counter data. For verification, we measured the aspect ratio of the same s les directly using a single-particle extinction and scattering instrument. The results demonstrate that the model is accurate enough to discern between s les of aspect ratio 0.3 and 0.4 using only the comparison of Abakus and Coulter counter data.
Publisher: Proceedings of the National Academy of Sciences
Date: 09-02-2015
Abstract: An exceptionally detailed ice core from the high-altitude location of Quelccaya (Peru) contains compelling evidence that the well-known metallurgic activities performed during the Inca Empire (A.D. 1438−1532) had a negligible impact on the South American atmosphere. In contrast, atmospheric emissions of a variety of toxic trace elements in South America started to have a widespread environmental impact around A.D. 1540, ∼240 y before the industrial revolution when colonial metallurgy began to pollute the Andean atmosphere. 20th century atmospheric pollution levels were the highest on record and remain unprecedented over the entirety of human history.
Publisher: Springer Science and Business Media LLC
Date: 28-07-2014
DOI: 10.1038/SREP05848
Publisher: Copernicus GmbH
Date: 05-12-2013
Abstract: Abstract. A stratigraphy-based chronology for the North Greenland Eemian Ice Drilling (NEEM) ice core has been derived by transferring the annual layer counted Greenland Ice Core Chronology 2005 (GICC05) and its model extension (GICC05modelext) from the NGRIP core to the NEEM core using 787 match points of mainly volcanic origin identified in the electrical conductivity measurement (ECM) and dielectrical profiling (DEP) records. Tephra horizons found in both the NEEM and NGRIP ice cores are used to test the matching based on ECM and DEP and provide five additional horizons used for the timescale transfer. A thinning function reflecting the accumulated strain along the core has been determined using a Dansgaard–Johnsen flow model and an isotope-dependent accumulation rate parameterization. Flow parameters are determined from Monte Carlo analysis constrained by the observed depth-age horizons. In order to construct a chronology for the gas phase, the ice age–gas age difference (Δage) has been reconstructed using a coupled firn densification-heat diffusion model. Temperature and accumulation inputs to the Δage model, initially derived from the water isotope proxies, have been adjusted to optimize the fit to timing constraints from δ15N of nitrogen and high-resolution methane data during the abrupt onset of Greenland interstadials. The ice and gas chronologies and the corresponding thinning function represent the first chronology for the NEEM core, named GICC05modelext-NEEM-1. Based on both the flow and firn modelling results, the accumulation history for the NEEM site has been reconstructed. Together, the timescale and accumulation reconstruction provide the necessary basis for further analysis of the records from NEEM.
Publisher: Copernicus GmbH
Date: 27-03-2022
DOI: 10.5194/EGUSPHERE-EGU22-5082
Abstract: & & It has been established that various anthropogenic contaminants have already reached all the world& #8217 s pristine locations, including the polar regions. While some of those contaminants, such as lead and soot, are decreasing in the environment, thanks to international regulations, other novel contaminants emerge. Plastic pollution has been shown as a durable novel pollutant, and, since recently, smaller and smaller plastics particles have been identified in various environments (air, water and soil). Considerable research already exists measuring the plastics in the 5 mm to micrometre size range (microplastics). However, far less is known about the plastics debris that fragmented to the sub-micrometre size (nanoplastics). As these small particles are light, it is expected that they have already reached the most remote places on Earth, e.g. transported across the globe by air movement. In this work, we used a novel method based on Thermal Desorption & #8211 Proton Transfer Reaction & #8211 Mass Spectrometry (TD-PTR-MS) to detect and measure nanoplastics of different types in the water s led from a Greenland firn core (T2015-A5) and a sea ice core from Antarctica. We identify polyethylene (PE), polypropylene (PP), polyethylene terephthalate (PET), polystyrene (PS), polyvinyl chloride (PVC), and Tire wear nanoparticles in the 14 m deep Greenland firn core and PE, PP and PET in sea ice from Antarctica. Nanoplastics mass concentrations were on average 13.2 ng/mL for Greenland firn s les and 52.3 ng/mL for Antarctic sea ice. We further discuss the possible sources of nanoplastics that we found at these remote locations, which likely involve complex processes of plastic circulation (emission from both land and sea surface, atmospheric and marine circulation).& &
Publisher: Elsevier BV
Date: 12-2014
Publisher: Copernicus GmbH
Date: 11-01-2021
DOI: 10.5194/TC-2020-337
Abstract: Abstract. In a warming climate concise knowledge of the mass balance of the Greenland ice sheet is of utter importance. Speculations that current warming will increase the snow accumulation and mitigate mass balance losses are unconstrained as accumulation data across large regions of the northern ice sheet are scarce. We reconstructed the accumulation from six north Greenland shallow firn cores (~10 m) and eight snow cores (~2 m) to constrain recent accumulation patterns in northern Greenland and calculated recent warming in the same area using borehole temperature measurements. We find an increase in temperatures in the north Greenland interior of 0.9 to 2.5 °C (method and site dependent) per decade over the past two decades in line with an Arctic lified anthropogenic warming. We compare annual reconstructed accumulation from the firn cores (1966–2015) to radar estimates and to annual re-analysis data (1980–2016) of precipitation subtracted evaporation from the regional climate model HIRHAM5, operated by the Danish Meteorological Institute. The spatial variability resembles that observed in earlier estimates with a clear increase west of the topographic ide and a low accumulation area across the north-eastern ice sheet. Our accumulation results are comparable to earlier firn core estimates, despite being larger in the east. We only find a positive significant trend in the accumulation for the period 2000–2010 to the northwest. In the vicinity of the EGRIP deep ice core drilling site, we find variable accumulation patterns for two 15 km apart firn cores likely owing to local topographic effects as a result of the North East Greenland Ice Stream dynamics.
Publisher: Copernicus GmbH
Date: 31-05-2013
Abstract: Abstract. A stratigraphy-based chronology for the North Greenland Eemian Ice Drilling (NEEM) ice core has been derived by transferring the annual layer counted Greenland Ice Core Chronology 2005 (GICC05) from the NGRIP core to the NEEM core using 787 match points of mainly volcanic origin identified in the Electrical Conductivity Measurement (ECM) and Dielectrical Profiling (DEP) records. Tephra horizons found in both the NEEM and NGRIP ice cores are used to test the matching based on ECM and DEP and provide additional horizons used for the time scale transfer. A thinning function reflecting the accumulated strain along the core has been determined using a Dansgaard–Johnsen flow model and an isotope-dependent accumulation rate parameterization. Flow parameters are determined from Monte Carlo analysis constrained by the observed depth-age horizons. In order to construct a chronology for the gas phase, the ice age–gas age difference (Δage) has been reconstructed using a coupled firn densification–heat diffusion model. Temperature and accumulation inputs to the Δage model, initially derived from the water isotope proxies, have been adjusted to optimize the fit to timing constraints from δ15N of nitrogen and high-resolution methane data during the abrupt onsets of interstadials. The ice and gas chronologies and the corresponding thinning function represent the first chronology for the NEEM core, and based on both the flow and firn modelling results, the accumulation history for the NEEM site has been reconstructed, providing the necessary basis for further analysis of the records from NEEM.
Publisher: Copernicus GmbH
Date: 10-07-2020
DOI: 10.5194/CP-2020-77
Abstract: Abstract. Iron is a key element in the Earth climate system as it can enhance the marine primary productivity in the High-Nutrient Low-Chlorophyll (HNLC) regions where, despite a high concentration of major nutrients, the chlorophyll production is low due to iron limitation. One of the main Fe sources to the ocean is Aeolian dust. For this reason, ice cores provide a sensitive and continuous archive for reconstructing Fe fluxes over the last millennia. Here we show the first Northern Hemisphere Fe record retrieved from the NEEM ice core, which offers a unique opportunity to reconstruct the past Fe fluxes in the Arctic region over the last 108 kyr. Holocene Fe fluxes to the Arctic were three times lower than the average recorded over the last glacial period. They were greater during the Last Glacial Maximum (LGM) and the Marine Isotope Stage 4 (MIS 4). Comparing our data with palaeoceanographic records retrieved from the HNLC North Pacific, we demonstrated that during the coldest periods, characterized by the highest Fe fluxes, marine productivity in the subarctic Pacific Ocean did not increase due to a greater sea-ice extent and the absence of upwelling nutrient supply. This supports the hypothesis that Fe-fertilization was more effective in other regions, such as the transition zone of the North Pacific, where a closer relationship between marine productivity and the Aeolian Fe fluxes was observed.
Publisher: EDP Sciences
Date: 05-2003
DOI: 10.1051/JP4:20030546
Publisher: Elsevier BV
Date: 2010
Publisher: Elsevier BV
Date: 11-2002
Publisher: Copernicus GmbH
Date: 23-03-2020
DOI: 10.5194/EGUSPHERE-EGU2020-13557
Abstract: & & The Dye3 core was drilled at Dye3 (65& #176 & #8217 N, 43& #176 & #8217 W) in 1979 & #8211 1981. The core has been analyzed for numerous components over the last decades. We measured remaining sections, the Younger Dryas and a larger portion of the last glacial, in a continuous flow setup in fall 2019. Here we focus on gas measurements. We measured methane, & #948 & sup& & /sup& N, & #948 & sup& & /sup& Ar, and the elemental ratio of Ar and N& sub& & /sub& . We present the continuous flow setup for measuring those components in parallel and first results with a focus on the exact timing of changes in methane and & #948 & sup& & /sup& N and & #948 & sup& & /sup& Ar at the Younger Dryas and Dansgaard-Oeschger transitions. & &
Publisher: Copernicus GmbH
Date: 02-09-2020
Abstract: Abstract. In 2013 an ice core was recovered from Roosevelt Island, an ice dome between two submarine troughs carved by paleo-ice-streams in the Ross Sea, Antarctica. The ice core is part of the Roosevelt Island Climate Evolution (RICE) project and provides new information about the past configuration of the West Antarctic Ice Sheet (WAIS) and its retreat during the last deglaciation. In this work we present the RICE17 chronology, which establishes the depth–age relationship for the top 754 m of the 763 m core. RICE17 is a composite chronology combining annual layer interpretations for 0–343 m (Winstrup et al., 2019) with new estimates for gas and ice ages based on synchronization of CH4 and δ18Oatm records to corresponding records from the WAIS Divide ice core and by modeling of the gas age–ice age difference. Novel aspects of this work include the following: (1) an automated algorithm for multiproxy stratigraphic synchronization of high-resolution gas records (2) synchronization using centennial-scale variations in methane for pre-anthropogenic time periods (60–720 m, 1971 CE to 30 ka), a strategy applicable for future ice cores and (3) the observation of a continuous climate record back to ∼65 ka providing evidence that the Roosevelt Island Ice Dome was a constant feature throughout the last glacial period.
Publisher: Copernicus GmbH
Date: 08-03-2013
Abstract: Abstract. Sea ice is an important parameter in the climate system and its changes impact upon the polar albedo and the atmospheric and oceanic circulation. Iodine (I) and bromine (Br) have been measured in a shallow ice core drilled at the summit of the Holtedahlfonna glacier (Northwest Spitsbergen, Svalbard). Changing I concentrations can be linked to the spring maximum sea ice extension. Bromine enrichment, indexed to the Br/Na sea water mass ratio, appears to be influenced by changes in the seasonal sea ice area. I is emitted from marine biota and so the retreat of spring sea ice coincides with enlargement of the open ocean surface which enhances marine primary production and consequent I emission. The observed Br enrichment can be explained by greater Br emissions during the Br explosion that have been observed to occur above first year sea ice during the early springtime. In this work we present the first comparison between halogens in surface snow and Arctic sea ice extension. Although further investigation is required to characterize potential depositional and post-depositional processes, these preliminary findings suggest that I and Br can be linked to variability in the spring maximum sea ice extension and seasonal sea ice surface area.
Publisher: Copernicus GmbH
Date: 28-08-2017
DOI: 10.5194/CP-2017-101
Abstract: Abstract. We present a 2700-year annually resolved timescale for the Roosevelt Island Climate Evolution (RICE) ice core, and reconstruct a past snow accumulation history for the coastal sector of the Ross Ice Shelf in West Antarctica. The timescale was constructed by identifying annual layers in multiple ice-core impurity records, employing both manual and automated counting approaches, and constitutes the top part of the Roosevelt Island Ice Core Chronology 2017 (RICE17). The maritime setting of Roosevelt Island results in high sulfate influx from sea salts and marine biogenic emissions, which prohibits a routine detection of volcanic eruptions in the ice-core records. This led to the use of non-traditional chronological techniques for validating the timescale: RICE was synchronized to the WAIS Divide ice core, on the WD2014 timescale, using volcanic attribution based on direct measurements of ice-core acidity, as well as records of globally-synchronous, centennial-scale variability in atmospheric methane concentrations. The RICE accumulation history suggests stable values of 0.25 m water equivalent (w.e.) per year until around 1260 CE. Uncertainties in the correction for ice flow thinning of annual layers with depth do not allow a firm conclusion about long-term trends in accumulation rates during this early period but from 1260 CE to the present, accumulation rate trends have been consistently negative. The decrease in accumulation rates has been increasingly rapid over the last centuries, with the decrease since 1950 CE being more than 7 times greater than the average over the last 300 years. The current accumulation rate of 0.22 ± 0.06 m w.e. yr−1 (average since 1950 CE, ±1σ) is 1.49 standard deviations (86th percentile) below the mean of 50-year average accumulation rates observed over the last 2700 years.
Publisher: Copernicus GmbH
Date: 31-10-2013
Abstract: Abstract. Sea ice is an important parameter in the climate system and its changes impact upon the polar albedo and atmospheric and oceanic circulation. Iodine (I) and bromine (Br) have been measured in a shallow firn core drilled at the summit of the Holtedahlfonna glacier (Northwest Spitsbergen, Svalbard). Changing I concentrations can be linked to the March–May maximum sea ice extension. Bromine enrichment, indexed to the Br / Na sea water mass ratio, appears to be influenced by changes in the seasonal sea ice area. I is emitted from marine biota and so the retreat of March–May sea ice coincides with enlargement of the open-ocean surface which enhances marine primary production and consequent I emission. The observed Br enrichment could be explained by greater Br emissions during the Br explosions that have been observed to occur mainly above first year sea ice during the early springtime. In this work we present the first comparison between halogens in surface snow and Arctic sea ice extension. Although further investigation is required to characterize potential depositional and post-depositional processes, these preliminary findings suggest that I and Br can be linked to variability in the spring maximum sea ice extension and seasonal sea ice surface area.
Publisher: Springer Science and Business Media LLC
Date: 30-06-2015
DOI: 10.1007/S00216-015-8820-1
Abstract: A simple and accurate methodology for Br isotope ratio measurements in seawater by multi-collector inductively coupled plasma-mass spectrometry (MC-ICP-MS) with pneumatic nebulization for s le introduction was developed. The Br(+) signals could be measured interference-free at high mass resolution. Memory effects for Br were counteracted using 5 mmol L(-1) of NH4OH in s le, standard, and wash solutions. The major cation load of seawater was removed via cation exchange chromatography using Dowex 50WX8 resin. Subsequent Br preconcentration was accomplished via evaporation of the s le solution at 90 °C, which did not induce Br losses or isotope fractionation. Mass discrimination was corrected for by external correction using a Cl-matched standard measured in a s le-standard bracketing approach, although Sr, Ge, and Se were also tested as potential internal standards for internal correction for mass discrimination. The δ(81)Br (versus standard mean ocean bromide (SMOB)) values thus obtained for the NaBr isotopic reference material NIST SRM 977 and for IRMM BCR-403 seawater certified reference material are in agreement with literature values. For NIST SRM 977, the (81)Br/(79)Br ratio (0.97291) was determined with a precision ≤0.08‰ relative standard deviation (RSD).
Publisher: Elsevier BV
Date: 02-2009
DOI: 10.1016/J.ACA.2008.11.067
Abstract: Measurements of Pb isotope ratios in ice containing sub-pg g(-1) concentrations are easily compromised by contamination, particularly where limited s le is available. Improved techniques are essential if Antarctic ice cores are to be analysed with sufficient spatial resolution to reveal seasonal variations due to climate. This was achieved here by using stainless steel chisels and saws and strict protocols in an ultra-clean cold room to decontaminate and section ice cores. Artificial ice cores, prepared from high purity water were used to develop and refine the procedures and quantify blanks. Ba and In, two other important elements present at pg g(-1) and fg g(-1) concentrations in Polar ice, were also measured. The final blank amounted to 0.2+/-0.2 pg of Pb with (206)Pb/(207)Pb and (208)Pb/(207)Pb ratios of 1.16+/-0.12 and 2.35+/-0.16, respectively, 1.5+/-0.4 pg of Ba and 0.6+/-2.0 fg of In, most of which probably originates from abrasion of the steel saws by the ice. The procedure was demonstrated on a Holocene Antarctic ice core section and was shown to contribute blanks of only approximately 5%, approximately 14% and approximately 0.8% to monthly resolved s les with respective Pb, Ba and In concentrations of 0.12 pg g(-1), 0.3 pg g(-1) and 2.3 fg g(-1). Uncertainties in the Pb isotopic ratio measurements were degraded by only approximately 0.2%.
Publisher: Springer Science and Business Media LLC
Date: 17-02-2012
DOI: 10.1007/S00216-012-5806-0
Abstract: Iodine and bromine species participate in key atmospheric reactions including the formation of cloud condensation nuclei and ozone depletion. We present a novel method coupling a high-performance liquid chromatography with ion chromatography and inductively coupled plasma mass spectrometry, which allows the determination of iodine (I) and bromine (Br) species (IO(3)(-), I(-), Br(-), BrO(3)(-) ) at the picogram-per-gram levels presents in Antarctic ice. Chromatographic separation was achieved using an IONPAC® AS16 Analytical Column with NaOH as eluent. Detection limits for I and Br species were 5 to 9 pg g(-1) with an uncertainty of less than 2.5% for all considered species. Inorganic iodine and bromine species have been determined in Antarctic ice core s les, with concentrations close to the detection limits for iodine species, and approximately 150 pg g(-1) for Br(-). Although iodate (IO(3)(-)) is the most abundant iodine species in the atmosphere, only the much rarer iodide (I(-)) species was present in Antarctic Holocene ice. Bromine was found to be present in Antarctic ice as Br(-).
Publisher: American Chemical Society (ACS)
Date: 15-09-2016
Abstract: The pH of polar ice is important for the stability and mobility of impurities in ice cores and can be strongly influenced by volcanic eruptions or anthropogenic emissions. We present a simple optical method for continuous determination of acidity in ice cores based on spectroscopically determined color changes of two common pH-indicator dyes, bromophenol blue, and chlorophenol red. The sealed-system method described here is not equilibrated with CO
Publisher: Copernicus GmbH
Date: 22-07-2014
Abstract: Abstract. The Northeast Greenland Ice Stream (NEGIS) is the sole interior Greenlandic ice stream. Fast flow initiates near the summit dome, and the ice stream terminates approximately 1000 km downstream in three large outlet glaciers that calve into the Greenland Sea. To better understand this important system, in the summer of 2012 we drilled a 67 m firn core and conducted ground-based radio-echo sounding (RES) and active-source seismic surveys at a site approximately 150 km downstream from the onset of streaming flow (NEGIS firn core, 75°37.61' N, 35°56.49' W). The site is representative of the upper part of the ice stream, while also being in a crevasse-free area for safe surface operations. Annual cycles were observed for insoluble dust, sodium and ammonium concentrations and for electrolytic conductivity, allowing a seasonally resolved chronology covering the past 400 yr. Annual layer thicknesses averaged 0.11 m ice equivalent (i.e.) for the period 1607–2011, although accumulation varied between 0.08 and 0.14 m i.e., likely due to flow-related changes in surface topography. Tracing of RES layers from the NGRIP (North Greenland Ice Core Project) ice core site shows that the ice at NEGIS preserves a climatic record of at least the past 51 kyr. We demonstrate that deep ice core drilling in this location can provide a reliable Holocene and late-glacial climate record, as well as helping to constrain the past dynamics and ice–lithosphere interactions of the Greenland Ice Sheet.
Publisher: Elsevier BV
Date: 2011
Publisher: American Geophysical Union (AGU)
Date: 2005
DOI: 10.1029/2004GL021449
Publisher: Copernicus GmbH
Date: 19-12-2019
Abstract: Abstract. Although it has been demonstrated that the speed and magnitude of the recent Arctic sea ice decline is unprecedented for the past 1450 years, few records are available to provide a paleoclimate context for Arctic sea ice extent. Bromine enrichment in ice cores has been suggested to indicate the extent of newly formed sea ice areas. Despite the similarities among sea ice indicators and ice core bromine enrichment records, uncertainties still exist regarding the quantitative linkages between bromine reactive chemistry and the first-year sea ice surfaces. Here we present a 120 000-year record of bromine enrichment from the RECAP (REnland ice CAP) ice core, coastal east Greenland, and interpret it as a record of first-year sea ice. We compare it to existing sea ice records from marine cores and tentatively reconstruct past sea ice conditions in the North Atlantic as far north as the Fram Strait (50–85∘ N). Our interpretation implies that during the last deglaciation, the transition from multi-year to first-year sea ice started at ∼17.5 ka, synchronously with sea ice reductions observed in the eastern Nordic Seas and with the increase in North Atlantic ocean temperature. First-year sea ice reached its maximum at 12.4–11.8 ka during the Younger Dryas, after which open-water conditions started to dominate, consistent with sea ice records from the eastern Nordic Seas and the North Icelandic shelf. Our results show that over the last 120 000 years, multi-year sea ice extent was greatest during Marine Isotope Stage (MIS) 2 and possibly during MIS 4, with more extended first-year sea ice during MIS 3 and MIS 5. Sea ice extent during the Holocene (MIS 1) has been less than at any time in the last 120 000 years.
Publisher: Copernicus GmbH
Date: 22-10-2020
Abstract: Abstract. The Northeast Greenland Ice Stream (NEGIS) extends around 600 km upstream from the coast to its onset near the ice ide in interior Greenland. Several maps of surface velocity and topography of interior Greenland exist, but their accuracy is not well constrained by in situ observations. Here we present the results from a GPS mapping of surface velocity in an area located approximately 150 km from the ice ide near the East Greenland Ice-core Project (EastGRIP) deep-drilling site. A GPS strain net consisting of 63 poles was established and observed over the years 2015–2019. The strain net covers an area of 35 km by 40 km, including both shear margins. The ice flows with a uniform surface speed of approximately 55 m a−1 within a central flow band with longitudinal and transverse strain rates on the order of 10−4 a−1 and increasing by an order of magnitude in the shear margins. We compare the GPS results to the Arctic Digital Elevation Model and a list of satellite-derived surface velocity products in order to evaluate these products. For each velocity product, we determine the bias in and precision of the velocity compared to the GPS observations, as well as the smoothing of the velocity products needed to obtain optimal precision. The best products have a bias and a precision of ∼0.5 m a−1. We combine the GPS results with satellite-derived products and show that organized patterns in flow and topography emerge in NEGIS when the surface velocity exceeds approximately 55 m a−1 and are related to bedrock topography.
Publisher: Springer Science and Business Media LLC
Date: 03-10-2019
DOI: 10.1038/S41467-019-12546-2
Abstract: Accurate estimates of the past extent of the Greenland ice sheet provide critical constraints for ice sheet models used to determine Greenland’s response to climate forcing and contribution to global sea level. Here we use a continuous ice core dust record from the Renland ice cap on the east coast of Greenland to constrain the timing of changes to the ice sheet margin and relative sea level over the last glacial cycle. During the Holocene and the previous interglacial period (Eemian) the dust record was dominated by coarse particles consistent with rock s les from central East Greenland. From the coarse particle concentration record we infer the East Greenland ice sheet margin advanced from 113.4 ± 0.4 to 111.0 ± 0.4 ka BP during the glacial onset and retreated from 12.1 ± 0.1 to 9.0 ± 0.1 ka BP during the last deglaciation. These findings constrain the possible response of the Greenland ice sheet to climate forcings.
Publisher: Copernicus GmbH
Date: 08-05-2020
Publisher: Copernicus GmbH
Date: 10-10-2022
Abstract: Abstract. Greenland ice cores provide information about past climate. Few impurity records covering the past 2 decades exist from Greenland. Here we present results from six firn cores obtained during a 426 km long northern Greenland traverse made in 2015 between the NEEM and the EGRIP deep-drilling stations situated on the western side and eastern side of the Greenland ice sheet, respectively. The cores (9 to 14 m long) are analyzed for chemical impurities and cover time spans of 18 to 53 years (±3 years) depending on local snow accumulation that decreases from west to east. The high temporal resolution allows for annual layers and seasons to be resolved. Insoluble dust, ammonium, and calcium concentrations in the six firn cores overlap, and the seasonal cycles are also similar in timing and magnitude across sites, while peroxide (H2O2) and conductivity both have spatial variations, H2O2 driven by the accumulation pattern, and conductivity likely influenced by sea salt. Overall, we determine a rather constant dust flux over the period, but in the data from recent years (1998–2015) we identify an increase in large dust particles that we ascribe to an activation of local Greenland sources. We observe an expected increase in acidity and conductivity in the mid-1970s as a result of anthropogenic emissions, followed by a decrease due to mitigation. Several volcanic horizons identified in the conductivity and acidity records can be associated with eruptions in Iceland and in the Barents Sea region. From a composite ammonium record we obtain a robust forest fire proxy associated primarily with Canadian forest fires (R=0.49).
Publisher: American Chemical Society (ACS)
Date: 14-04-2010
DOI: 10.1021/ES903365S
Abstract: The occurrence of organic pollutants in European Alpine snow/ice has been reconstructed over the past three centuries using a new online extraction method for polycyclic aromatic hydrocarbons (PAH) followed by liquid chromatographic determination. The meltwater flow from a continuous ice core melting system was split into two aliquots, with one aliquot directed to an inductively coupled plasma quadrupole mass spectrometer for continuous trace elements determinations and the second introduced into a solid phase C18 (SPE) cartridge for semicontinuous PAH extraction. The depth resolution for PAH extractions ranged from 40 to 70 cm, and corresponds to 0.7-5 years per s le. The concentrations of 11 PAH were determined in dated snow/ice s les to reconstruct the atmospheric concentration of these compounds in Europe for the last 300 years. The PAH pattern is dominated by phenanthrene (Phe), fluoranthene (Fla), and pyrene (Pyr), which represent 60-80% of the total PAH mass. Before 1875 the sum of PAH concentration (SigmaPAH) was very low with total mean concentrations less than 2 ng/kg and 0.08 ng/kg for the heavier compounds (SigmaPAH*, more than four aromatic rings). During the first phase of the industrial revolution (1770-1830) the PAH deposition showed a weak increase which became much greater from the start of the second phase of the industrial revolution at the end of 19th Century. In the 1920s, economic recession in Europe decreased PAH emissions until the 1930s when they increased again and reached a maximum concentration of 32 ng/kg from 1945 to 1955. From 1955 to 1975 the PAH concentrations decreased significantly, reflecting improvements in emission controls especially from major point sources, while from 1975 to 2003 they rose to levels equivalent to those in 1910. The Fla/(Fla+Pyr) ratio is often used for source assignment and here indicates an increase in the relative contribution of gasoline and diesel combustion with respect to coal and wood burning from 1860 to the 1980s. This trend was reversed during the last two decades.
Publisher: American Chemical Society (ACS)
Date: 19-04-2011
DOI: 10.1021/ES200118J
Abstract: Over the past two decades, continuous flow analysis (CFA) systems have been refined and widely used to measure aerosol constituents in polar and alpine ice cores in very high-depth resolution. Here we present a newly designed system consisting of sodium, ammonium, dust particles, and electrolytic meltwater conductivity detection modules. The system is optimized for high-resolution determination of transient signals in thin layers of deep polar ice cores. Based on standard measurements and by comparing sections of early Holocene and glacial ice from Greenland, we find that the new system features a depth resolution in the ice of a few millimeters which is considerably better than other CFA systems. Thus, the new system can resolve ice strata down to 10 mm thickness and has the potential of identifying annual layers in both Greenland and Antarctic ice cores throughout the last glacial cycle.
Publisher: Copernicus GmbH
Date: 23-11-2016
Publisher: Elsevier BV
Date: 12-2021
Publisher: Copernicus GmbH
Date: 29-09-2015
Abstract: Abstract. Antarctic ice cores have been used to study the history of black carbon (BC), but little is known with regards to the physical and chemical characteristics of these particles in the remote atmosphere. Characterization remains limited by ultra-trace concentrations in ice core s les and the lack of adequate methods to isolate the particles unaltered from the melt water. To investigate the physical and chemical characteristics of these particles, we have developed a tangential flow filtration (TFF) method combined with transmission electron microscopy (TEM). Tests using ultrapure water and polystyrene latex particle standards resulted in excellent blanks and significant particle recovery. This approach has been applied to melt water from Antarctic ice cores as well as tropical rain from Darwin, Australia with successful results: TEM analysis revealed a variety of BC particle morphologies, insoluble coatings, and the attachment of BC to mineral dust particles. The TFF-based concentration of these particles has proven to give excellent results for TEM studies of BC particles in Antarctic ice cores and can be used for future studies of insoluble aerosols in rainwater and ice core s les.
Publisher: Copernicus GmbH
Date: 10-11-2020
DOI: 10.5194/CP-2020-134
Abstract: Abstract. Paleoclimate archives, such as high-resolution ice core records, provide a means to investigate long-term (multi-centennial) climate variability. Until recently, the Law Dome (Dome Summit South) ice core record remained one of few long-term high-resolution records in East Antarctica. A new ice core drilled in 2017/2018 at Mount Brown South, approximately 1000 km west of Law Dome, provides an additional high-resolution record that will likely span the last millennium in the Indian Ocean sector of East Antarctica. Here, we compare snowfall accumulation rates and sea salt concentrations in the upper portion (~21 m) of the Mount Brown South record, and an updated Law Dome record over the period 1975–2016. Annual sea salt concentrations from the Mount Brown South record preserves a stronger signal for the El Niño-Southern Oscillation (ENSO in austral winter and spring, r = 0.521, p
Publisher: Copernicus GmbH
Date: 15-09-2015
Abstract: Abstract. Whereas ice cores from high-accumulation sites in coastal Antarctica clearly demonstrate annual layering, it is debated whether a seasonal signal is also preserved in ice cores from lower-accumulation sites further inland and particularly on the East Antarctic Plateau. In this study, we examine 5 m of early Holocene ice from the Dome Fuji (DF) ice core at a high temporal resolution by continuous flow analysis. The ice was continuously analysed for concentrations of dust, sodium, ammonium, liquid conductivity, and water isotopic composition. Furthermore, a dielectric profiling was performed on the solid ice. In most of the analysed ice, the multi-parameter impurity data set appears to resolve the seasonal variability although the identification of annual layers is not always unambiguous. The study thus provides information on the snow accumulation process in central East Antarctica. A layer counting based on the same principles as those previously applied to the NGRIP (North Greenland Ice core Project) and the Antarctic EPICA (European Project for Ice Coring in Antarctica) Dronning Maud Land (EDML) ice cores leads to a mean annual layer thickness for the DF ice of 3.0 ± 0.3 cm that compares well to existing estimates. The measured DF section is linked to the EDML ice core through a characteristic pattern of three significant acidity peaks that are present in both cores. The corresponding section of the EDML ice core has recently been dated by annual layer counting and the number of years identified independently in the two cores agree within error estimates. We therefore conclude that, to first order, the annual signal is preserved in this section of the DF core. This case study demonstrates the feasibility of determining annually deposited strata on the central East Antarctic Plateau. It also opens the possibility of resolving annual layers in the Eemian section of Antarctic ice cores where the accumulation is estimated to have been greater than in the Holocene.
Publisher: Copernicus GmbH
Date: 24-08-2015
Publisher: International Glaciological Society
Date: 2013
Abstract: When drilling ice cores deeper than ∼100 m, drill liquid is required to maintain ice-core quality and to limit borehole closure. Due to high-pressure air bubbles in the ice, the ice core can crack during drilling and core retrieval, typically at 600–1200 m depth in Greenland. Ice from this ‘brittle zone’ can be contaminated by drill liquid as it seeps through cracks into the core. Continuous flow analysis (CFA) systems are routinely used to analyse ice for chemical impurities, so the detection of drill liquid is important for validating accurate measurements and avoiding potential instrument damage. An optical detector was constructed to identify drill liquid in CFA tubing by ultraviolet absorption spectroscopy at a wavelength of 290 nm. The set-up was successfully field-tested in the frame of the NEEM ice-core drilling project in Greenland. A total of 27 cases of drill liquid contamination were identified during the analysis of 175 m of brittle zone ice. The analyses most strongly affected by drill liquid contamination include insoluble dust particles, electrolytic conductivity, ammonium, hydrogen peroxide and sulphate. This method may also be applied to other types of drill liquid used at other drill sites.
Publisher: Copernicus GmbH
Date: 13-06-2019
DOI: 10.5194/CP-2019-71
Abstract: Abstract. Atmospheric iodine chemistry has a large influence on oxidizing capacity and associated radiative impacts in the troposphere. However, information on the evolution of atmospheric iodine levels is restricted to the Industrial Period while its long-term natural variability remains unknown. The current levels of iodine in the atmosphere are controlled by anthropogenic ozone deposition to the ocean surface. Here, using high-resolution ice core measurements from coastal eastern Greenland (ReCAP ice core), we report the first record of atmospheric iodine variability during the Holocene (last 11,700 years). Surprisingly, our results reveal that the highest iodine concentrations in the record, found during the Holocene Thermal Maximum (~ 11,500-–5,500 years before -present). These high iodine levels could be driven by ocean primary productivity resulting in an Early Holocene “Biological Iodine Explosion”. The iodine trend during this past warm period is a useful observational constraint on projections of future changes in Arctic atmospheric composition and climate resulting from global warming.
Publisher: Copernicus GmbH
Date: 20-11-2012
Abstract: Abstract. High-resolution measurements of chemical impurities and methane concentrations in Greenland ice core s les from the early glacial period allow the extension of annual-layer counted chronologies and the improvement of gas age-ice age difference (Δage) essential to the synchronization of ice core records. We report high-resolution measurements of a 50 m section of the NorthGRIP ice core and corresponding annual layer thicknesses in order to constrain the duration of the Greenland Stadial 22 (GS-22) between Greenland Interstadials (GIs) 21 and 22, for which inconsistent durations and ages have been reported from Greenland and Antarctic ice core records as well as European speleothems. Depending on the chronology used, GS-22 occurred between approximately 89 (end of GI-22) and 83 kyr b2k (onset of GI-21). From annual layer counting, we find that GS-22 lasted between 2696 and 3092 years and was followed by a GI-21 pre-cursor event lasting between 331 and 369 yr. Our layer-based counting agrees with the duration of stadial 22 as determined from the NALPS speleothem record (3250 ± 526 yr) but not with that of the GICC05modelext chronology (2620 yr) or an alternative chronology based on gas-marker synchronization to EPICA Dronning Maud Land ice core. These results show that GICC05modelext overestimates accumulation and/or underestimates thinning in this early part of the last glacial period. We also revise the possible ranges of NorthGRIP Δdepth (5.49 to 5.85 m) and Δage (498 to 601 yr) at the warming onset of GI-21 as well as the Δage range at the onset of the GI-21 precursor warming (523 to 654 yr), observing that temperature (represented by the δ15N proxy) increases before CH4 concentration by no more than a few decades.
Publisher: Springer Science and Business Media LLC
Date: 13-06-2012
DOI: 10.1007/S00216-012-6166-5
Abstract: Iron and aluminium are the two most abundant metals on the Earth's crust, but they display quite different biogeochemical properties. While iron is essential to many biological processes, aluminium has not been found to have any biological function at all. In environmental studies, iron has been studied in detail for its limiting role in the bioproductivity of high nutrient, low carbon oceanic zones, while aluminium is routinely used as a reference of crustal contributions to atmospheric deposition archives including peat bogs, lacustrine and marine sediments and ice sheets and glaciers. We report here the development of a flow injection analysis technique, which has been optimised for the simultaneous determination of soluble iron and aluminium in polar ice cores. Iron was determined by its catalytic role in the reduction of N,N-dimethyl-p-phenylenediamene (DPD) to a semiquinonic form (DPDQ) and subsequent absorption spectroscopy at 514 nm. Aluminium was determined by spectroscopic analysis of an aluminium-lumogallion complex that exhibits fluorescence at 560 nm. These techniques have been applied to a section of Greenland ice dated to 1729-1733 AD and indicate that volcanism is a source of highly soluble aluminium and iron.
Publisher: Copernicus GmbH
Date: 17-03-2017
Abstract: Abstract. Halogen chemistry in the polar regions occurs through the release of halogen elements from different sources. Bromine is primarily emitted from sea salt aerosols and other saline condensed phases associated with sea ice surfaces, while iodine is affected by the release of organic compounds from algae colonies living within the sea ice environment. Measurements of halogen species in polar snow s les are limited to a few sites although there is some evidence that they are related to sea ice extent. We examine here total bromine, iodine and sodium concentrations in a series of 2 m cores collected during a traverse from Talos Dome (72°48' S, 159°06' E) to GV7 (70°41' S, 158°51' E) analyzed by inductively coupled plasma-sector field mass spectrometry (ICP-SFMS) at a resolution of 5 cm. We find a distinct seasonality of the bromine enrichment signal in most of the cores, with maxima during the austral spring. Iodine shows average concentrations of 0.04 ppb with little variability. No distinct seasonality is found for iodine and sodium. The transect reveals homogeneous air-to-snow fluxes for the three chemical species along the transect due to competing effects of air masses originating from the Ross Sea and the Southern Ocean.
Publisher: American Geophysical Union (AGU)
Date: 11-03-2016
DOI: 10.1002/2016GL068244
Publisher: Copernicus GmbH
Date: 08-10-2020
Abstract: & & & strong& . On the Greenland Ice Sheet& /strong& & & & & Ice sheets form as a consequence of the progressive deposition of snow on a landmass. As snow falls and metamorphoses into ice [1], particles follow pathways towards the ice margin, such as shown in Fig 1 [2]. As a result, in the summer the older ice layers are exposed in the ablation zone (that is, the marginal region where the previous year& #8217 s snowfall has sublimated or melted entirely).& & & & & img src=& quot data:image/jpeg base64, 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2QOSLuvOeGp17sv91EcrbzGSXAjjI+YvVkkeNo5s1xyRK02lVSXIXqsFEjqK3FBQ9yQBZoXxZwPP0nQ9GJULs7clnbyzsSzt9gWJoDgDgcDJmMYEb1LUmKKSRULsiMwQEAttF7QT4JrOC/2a/GX+8Y9ZUUiqjyPudgRU24rGP2Cm 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& quot alt=& quot & quot /& & & & & & em& Figure 1 Ice particle flow paths inside an ice sheet. Image reproduced from [2].& /em& & & & & Along the margin of the Greenland Ice Sheet (GrIS), surface melting exposes a visible stratigraphy with variable dust content. An ex le of this is shown in Fig 2 [3], pictured at Kronprins Christian Land (North-East of GrIS).& & & & & img src=& quot data:image ng base64, 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 DOUgyfzgsnUg3lpaT9Ex+W8Xr3fu5zn/tywTYKJgJdAiNFZJXNg1DDI0qLoR4YDUPcB5xRgewugsaJtQcHcXw0h08St+W481sCxyF2kPyNXRr4xg5L0/0q+Y//+I+vuT/X5bM/LYvVPFw9RGqBqa4urAPyqyh/Hlyz1Sc/LLnEu9gO3FoPYODCTy5i3UVh50v1yU/qzfMl1ux4yE9g4N452bcmcPkZV/km8lvLQc2rP6zyefjU6ZLzc0/E6IkeqdtvFPjhgi/8+GcrV8oHvn0jHPidIWmf6idu9pwBX3yJ/vd3BtxPvIz22eCoT2z45U/5VbfRPltnKgdMdyhcdnM++iNHzwVbLzxzz4e8sGEZcVEH4Uc6m86YWrvL8KtbDjUb8aLqCIM6dxxx9QWUdB/0tD1x/qJhvKzDiy88nOSj5uWgvcjMq9MIQ67eP/izp9bs6ne3+MFhJ2ql+MDsy7U7IFe11xu27iUcPPHHw55R3ThVU5qw70h8yYyL2EQOCtMzLJfzxgVHvp4N/TGvR/KxuRfqEhM/SuRPOytz2NUIBzd2d5MfPFjLw777yN6zYN9Zurt633Mjv/3y8oMhV9ysnYU9P0WqW/76TsRas/Pnq97+kpb3spz4Gv29HWfb2YghMNTYncFBDqP62Ig1/vqtHrX2ww5/fnKpA759ucS5d/yIfPZ37Wwfv/rqq09jvnJI5pQzUSjJfs7tazgSiIeBGFJGTdI4c81iR5JdMS4ggaMoh2q0dqFI+ZLW8bwn8spHCX7EGme5jL0oiNw4ifXnuS6Df7vr3+z6D2U4DIeiBi8hczxwhS8Wdw32H4uoP3zsi1sVr4/i1BVf/dIfwr49gFXt+MLp4hit2WGLY8MBF3Fqo+oO+1RSv8TTuFHrHgL56qNYfXVh8ednLbcPWZw8HP5Slp+GTv6EDb8+nGHT9uMIvz4QfOtx3PEjzkeMXtvHR7x5/YhL9XuRwK/+crVvjVPnRcIzevjNnS1sca3xsg6bwPCM9IHgNzFJtcWRyrv84kHZ+cPj28sSrj1n0J1lZ0sJm33rrT0e9v39hvIRPubugf6qU2w+3ZvwcFAPvPgbrXEutrsLl1anmvjpJayeyzj7EkD4iqf25BRjrUZK2JwPEe/Z1z857ZWPbd9d9cbYnMCHd5519REvZfWFJZcYd1+dK+HDMPLtLCgph305aD1Utzx4+QCSo+fBPsGVvxrh+LCQwxqmfbzw1g9raq9nlL9cYsK01jPvRVzhEmcGx/nhlsaDwJFPX7x/4cNyPt4paqm/+5zvXWFTp1hrdnjsbPJ19uqoX/VbjDkRQ9TQh7p89uuTNYzrn/AUYEwTztYdlqTN2SXeA420AqjDVECY/PgXUxFddIVqtliN8xJO+P2/isPCsSbLF285FjNu1URx0CzfnvpPPvr24mLAeuWVV66LWh7YPejWLoSfHDSbj0P3E5zcLhabGHU7MLYuPfHrbHm6AHHvMsOxr8f4shs7I71UFz+5nQeBJ7dYApeec7Gr9aW1C4aX/LDlIPJ2yfBUm73+Xau1D9lqjT9fAhNHdnnYyxs/6sHjo45qtk7gqFNsDx9u8TWybUw1xqdc5OxBD1g+cMKk4lsXY60HeOGAs7Ve4Ous1NWHYSKOr1o7cxIn4/IwwumO6Ll4ayK/F164/AnOab0Tk205+U0NzpTdGXvJdA/d5zgR8bC6F9VjFB9+dn0pv5jUmt1cD81xrUYcvIR9yY1f+etTNeuzLzW4y9nL3txz7/n1HoBhbQ+2L2CebwLzluqtOFikPsprD3/3En9+ODV3H+S1pvDEwcoXHqm/+cphrI/W8hBrtarZ+6znoWcXtlg9FNf7TC5+nktc+NuDxy6GTU1x7X7LIU5Ozz2fngH53BO9pHzFwrNP+FNr+7i42/j7Cdc97k7Es1hrSthhW8PzIW2NL1t3iR/enRUl/OxTczXUt/LBIL2/njz//PPXn8kKWA3UBZRcMtrcSBXYQ0UilL8kYZp3Oazta655h9OlsHaJPTQK4tu4SsK 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 m7pkn5rDY8Qjbmr95H6y0s4QNN447p/rmXqkFVj0Jc+8Ju3n9tkfZ7dcfZ9a6mmAT8YRNrs6KL8wzD7GHX7n2HrFVrxgYBE57+Yk1Oh+5fUnljxuepLNbsa8X5YVBzr6mBAbtSwyfnsU41qf/9iEbeQBGju2VpMQBawCtyJommV/3GF1i/vwUBCeS5WIzegm6GF42Ytq SefU3tQCP/NRftJnGoW6QLihsvmW4GrLz7IfJiSGi5PPfArOy9PB0/rDz8fsHLpkw/cn/mZn3n03ve+9/og9lOuPwfm48KI7RyM+u1XLF0ytnLYo7Bx6KXNF8cuW1ptW6O5HsDbi+/Fd54P++YpB5t9MfDgdL7mvly4Q/W7e9T5VGvzem6k5/nIiYP7Jmd8jXHFiW/92VxseKXx6uUWR5ypHpy9XOVL5CPxJmz9GozsHrFvr37aw69nDp/+OY49NfJVX3O9Cr+zVCcMX+T0pruEb7nY1N+v4+Sj1d/c+bn7Rhhy94F1S7dX1sR5UWt2PnBwwZXUPyMNg5/acTXWp3ojvj7ytU/41LPy26Pmnle 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 B2OHwpYU/gtbf7FGGNyD97SmBXtHgFizHn4yIufkqMi0/aj7O67de8U10GIxFT/nrWJQlnLyB/ApvwMbcvNywxauilZJ+qOT84lK+9eoqHeRfJmp9YdoJf8WKqma/8LiRM2NmrJR4uohe8hw9PD6KHm51v+XtZ6Vm55LDP1wvXB6e/0WnuLz15yeEGB1c9IHjJ5/Lb2 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 uYFBCZ9UfmJPXZRdX/GFiZOce4Z85DXGl/KHSe3LHy5h45/NfvezXsjDbuyewCV4ysNmDwZbfYPfS5yPff7EPj+41dKHCPz48Ot5qf8EHlx4Yvk7E72Rlz9fMfDjTe3bYzdas4vXaxzcB+8buO6J8+1 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 MPW2avZnXOP6MQlgJfeuHIP/MQSV55qAmsSlstPbe6YOq35g5zoPQN06rGvHmN9cn64xS5O3ER9YfVqNbLHU9zuS7rtadL61gg713McRD/qSzrijhNzdXfn1Ej37W9/+/q/+/h/K/vQW/7uCXQ36PRNbOfOXq14O0/3nAD93j+jNb2fosu5/EN5dBY9O9bt+fNYPMSeOusrPnk6++6586oXxYTOKo5i2WdbfPV5Jtn4kLW+lX85Wj/72Mc+9rlL+xvY2CI8KAVAoii/o/ZjNgKJSOKesOsh22YnmlDjbqE8yksu5G1FPBexmq/sJSQ1M5GTsRiw+WnmI7AJywviqY1NFyGdfjpwOS4H8Fcf6ScZNmf99SD/6gv2+GYnljWIT5xN+/zLxzrdI3R2jXEl9I8gXn4ExE/441lUY3k+Qjblla5e6UG6FbZJvnIl8eilMzxz5F8vvcjZuf89kGzdK3fTmn/9i8dI6Jz3xsCdxI8H8kkW5UTkCPm6m8Zs6OnYNTdubHvl1n3iq06w7oW2/K1Jf/5n3nuCXXWIYU2Azl45sS+v7TsdkZ8esatmNtbiya++2k/qn5czsMkuWBez+Ol7TsXJ177cjOlehuw3RiPx/izXle6UGHt3Wjsb+b3nPe+5aizPzpG4n3pUrGLHA/W+uPTZJWzO8wudITHPtjP0F4/wycezJif5ty+/9nDjIGz0xvlmC+XHJl+gA/t8u9f1BQ9bXHzt+2w8a46Dnr/5s89+9rOfkwCDDYAwkUy/YvBXw80V29++qrBbcgY9uUukJLdYwh7ocVinY++bZgfD5qyBLgH7gf/mZbQm7Jo/Arv41wc3wWuUnxHEqf7yr4bqAPYOOW5cDrs86eI0lgfYS8B+NluXuMu1fcy3+S0pl7N3iTtQXbeEHzso/61hcWvt4dKXeyLGLf5iVHNn0DnUL8ADaqGzxslWfPOTO3HG2fI3xi3OI/DTn3pEQut9xna/+MVwLq2rC/qQsWcsXv7lStJBsfi7o3jjqU+gXu8PI+gdfvmAP1OOiy89G30z0tU7nPXCnF5cPvRxLx8bUt7Ah9BlX3/K2zpd3D2z5UYP+eVLz6YXfPblVbx4ja1PiRPEWbGHX33mePmI6/3sbla7UQ+7g/mJ73y8x/1A5DcRbHD4qdZcbmrAXV+IeM4eWtfb+uGHBPx4oNqNxN 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 1z/RTLuvcYvbk6rM31l57sHNSCQ1xCX13m9RhPZ/vsox/96Iu/+MTIBmFsTb+oOY0uQZfzlhS8BFbiV0hr9mBNr0kQxymL8gr294DTxW1cxLe8Hhj+wR5ftTl0vGIQsLfcDptPEsrHWH7tWztI0kFlk11yq4b0Rv3LH1wkl1iOcja6LF1Qti57v0JRY5emi9OltMe3+sXr/uC17iUARnat7YvXXM58uzvmcoifLZtyIXr0CD1I8Z9SfOMpINe1tSb4QA7xn/71pDtB8GwuagScPbxG/uys+cXHR9 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 7AVuHl69riiebcffPvHUciFxqd5brhQ+V1DU+1tzT7hO+zpQewPHhF5fq5i8X0SuxcqhNDXpB+bBbF6MfsOWEK5bC5F8/CX+qBqP7lR8fvuKM2XCNl5jsJAy2VeubMyk3H3zlwhlOWMXyIXppjeRD4krKWf6UzdkRoy/GjWM7izrbb6P9kbe47U+jdXZ7yyauOu27HnZGqpE/WyqOdp7iWO0bp6bWjdZI8UY255Xv5e9kESAFmAOlCjUiy+5mEdOncNfItGHm/BW7pGGzWWNzOM1pN5Cxm9LhhmUOu7ge+lSsnPEmrtsk3zpxLi4uWzNcax4c+KqvF5c1+HzFheVHgX53xhcP4uHox3I9WPn7JgPTA9Q3CzWrsQe5Pz1oDYY62aw7HHL4gz9y4kvqF8GNvxe5XsHxLQM/c/ztnVg2udVJu8YPT/6+legznrD1Dif7zhevzgI8qjd6zQ9GLxKCd7UTN6w1WDDscfsAq/3sxsLLg1CMNTzY7C//vp3olXXc+6mBmO0biY/aYRlpZxYv2HiqJa6dLbFyySteTnWoH3YfcNjEUv0Ql5+RTze/PdKH+qR+Njntv3qt1SeCb+dAza3XM3O59UKe+tCe8QlH/eZX5cGhXvN1Hvze27ofGfvRsX8MBQf7LxaeETcx9lJ9VC+M/CmOep1NTL0megWj5wJdH+tyEfHuKfyMfIn7S5/h8FEnjjD1x/6qz16SeNcz3PiJ5Ve/jJ5/cNwv1lzjZk1ONnh40ngbUzzrkR6aG9koTBhydr7wwkcM3nE1UrlI/ZPH2HV9gwmHsCfxJZ4PxSRydF5aK/cqO37tH9mzmq18sKh6U+cDln2i8MSXszi41tnkg8/PXhC5nD/3tZqtx69e1mdxbHw7F/xhm1OxbPyNxDXFxx7CdE/f/Pvf//6FjROIhKYi5Obsx00lFtxBMmcX00PUAUdOYdYdEhhEAdYosg6gpngg1jzE3CBGc3YHS05FySdeTnNrFaJQDyd84bdBbrL+HiNM3PmIVyM/9ZvzkQOuHojrD0b14JKvWMqmZ+qE/fbbbx8/5vN/elIPpurDUbz66uGTTz554/3337/sA8785FOnONds4oiHvG/dePs3Zf37zr5V8Nc/2JS/Wq15YOs5nOqg8ehwWlOfPaR6ilc3t3g94yPGXL3Ehw49EYOLOL5qIPjoby9H+SiBB9/ITx0w/LisdX0QZzTH3f+jiqdc1cAuJ1UPO2y5XRdLrKshzc6H9uPqcGDy0Vf8nBXiXHZ+cBFjT2H0svSwlsPD2dxeq1M/KHxx8PVbL+WQCxZ/a/CdeT5UXnup9uqUN4Fr3Yco/9ay685QPSmuOYVRTZTIb80eUD+G/u1vf3vj7t27By+1isHbXqknUTuObNS1vSsf7DM+Xvz0t73FpTW52EjxKensVQ/tmnR/4ko6D+VwLYf88uEL07nmax/Uyg9OfWqP9FssX2vF84fRiC+7/eTHXxx/kp8eWKPmfKuFD+VDXVc/yY90LZ6f/OpTMylPPYgr6azoI3x7ybf+qJ2IUUPxaXtDXIcLEx5u/HDI3xhP62lnpZ7ZK3Hm7PDcP848fu5XNr5svbvI8qx/zrP7xvng6x4kcOTybPWegAVXzji7Fnf8BwEmCFcAZ83i4NrIh0ic8kfGmmvNlqAN4NOLCCFzWJR0iBwsoya0cT1kymWNupZHPnMNhN8Di4SHlwe+dZgUXw1RJx8vYSP73iz544CvmqzxKzf1glWzDWB30/L1uysbYS7OWhsoNx/4NpAPzvzVQ/nLpSb+PQjEmFvTU/V5wYvVOwqLivFtwwOV9LCGqV/iPfDbX/XANjZ3yFzbK/3Rux6S4vXHGp+w9JvIbw3n+uWaHU+9IHKal58dhhp9Y4KtX9ZJ+0B7mLdnfCkbFVe8HPDFtxdqiAd8MXqpLqre9q9zrKb6bM01gS2eXU5zcdbLWa1UPvZ4W0uKlUudxXZuKAz7qQd7T2y9uBAY4usVURup/ngtD5iwKNEDcVReH4LcAz186lNc4Il13Rx+c/eedbbdFwqnc5bqx9pgyJWepb5WkzE/I6ytLxx+cTfKs31N7YPe4l4NOBrhWCtfGMb4VD8c+2Lumg/VB1ircZTfWY3/4hLX8i1fPjuHEyb/4vGm9rgzWE4YcKl1HNmcLdyJ89FzzLp4o/kqaYwTwUmM/SmOyKNWueWyvjXzgxE/1+JJPYYBn91612Jd1w/qua4WtfWekA+WdaN18bDdbzD56Zv147+647A3xrHwcCQaJWAPvJGN8lWMxOIrkF0zkCvGmkNhDR7sYgkeMElNqviaqwE1Hp6bXLzNVixhVyB8vjholrzs/MSwe4m4hkfY4ignDvDkFauWesXWN71+dO6h59o3IOs4iK8/baA57SWsDn6+FXoJ4oGDbxtekjaYv4eZGOqbkfVesvjG2RhvvHAnHdBGeVynbPJufnuCk9r0DiZs/vysu8YBR7nUaK0DSttDOfTbmv7op3k9IfVJL6uF8ONP5eWn/zTO1U/rdb0Xh5+eUPWJwSs/uPnUN2IeX/m8hHvQE/gwYJXLyAdOfnDkcUMay13tcRDnXIdTz7cXrsuJkz0w1gNrcsNzhnxocV7gdc/AX+WbEjlovKh4ChOG8+FlCxMXeyEGB/Pz2DkzVk915Leaneaf4IEbPUs8CPx8itFD+Pm03l6ojQ+73tiTegZDr13zIXrTM4Jtc8qRJtVPq4+IobDqdZzJ4mSTi7Jv7/JN86PWi83fdfk7A2zhLg5+ODsHPTfV7Ry4V8iel7iulAteucXAOfNt3uhst0aMOOorXuVk6/kgFj5lXymeire/9lusGnsemMOGFQf188HbPQ7/eH795Cc/Of4/2TZzyQn2IBdkngLmJ1H+bClb6920CuXH7jo7f8JWHqJIa2w1iZrH1dxDEpYaFConOx+b7IGiUcXKWQ0Etjqta5KXMY4wyxO+ZrNVjzXXveT0ivoRcz++rebyiUnxEccHb/h+vwrbw9CaUaw86vFSl0OtHvK3bt06Htb4h9l+whOjPhy8yHtp8eMvF+1w4eIg9uLxUoenB3DwgKVm3Dxc2YrlJy9Mc3n0H14ir954aVO4/OKgXj5JPPnIZZ6va3loPeYXXyMVl41WkxoIHD67Tu0LKb9RHrmJPptbcy0Wjmu91ys9tK4PeKtdjA9POMhdjYRvDym9hEfkFB8XuZyB+MilD0QM/nBwEeMB0Ac2MXz1Hwd58My/OvCSi5rDkceZk9sZZfehzz+hKpYNnz4s4iwfMcY3roTPGdc1u7MDpzMpFka9OAt7Y/nX11i/aetJvlQ95vKpU5/01RobzubWitO7cI3tbzl3Xl+7thfw5A23NWO4crd/fKwTdqpHNP/EnCZ6ujEwXed37jus5crGx5niZ70a8CpXnI3xMZaH7lp9cV71WCzhZ6311lLxXRN+YsyrAX97RLsn0/zgUr7uCX7U/rNZg03gd0bVzp9NT47nrX9WsU1CAJAkgAQI5sxew127AdgRFcsfsBEegSch4uLMrcHlVzHsrvm5rkA2/nBrgLkNJDAdRg8HdjemovDjD0sMfy8mfgT3sF2Xg43A9IAzwmhDjXD56QWORg8Ffl6Acvh27CUkJ45i4BN+8aqebuR67mCJ19v+fqNr/vH0Ev/mN795XFuDIRaeeh0Gc3/nMr76wtcfpvK7NDX6kBK/9pBWc39X017DYccDRy9tONarU07KJicsecWwy290LjyEwxVPXYvJl1/7g5/8pN7zIa1tnB5sbQkbxUlMDwRSr5wL50kesdbVpBY2efqAAIsPW/0pr/rYxPgAVw/l0EN7a843hYk75S+vEYbrzgFpv8W4pniIdSbMcRFfvWyuO/vWjOGoRQyRp7XOmDV9UJt1ffCPonz++efHuvtBjLOhh9UFN94w0tZwUiOtRvuIc7ypHPUa93DEGFf0OSk3OfNIusaHilerMXw5qx8HPSPtD2w+YqyVy8h/+6CersPa/SRxoQSPzgFb54NuD4www1+cVEycEtf1mIg/Y7QX7lk5iXnnVqwYHOIb5/gR12HnS3CizujmJ4tpD4xsG4/j1sVO4eBWf8Wub3n4wuPn3Ntvtfalpb4R+26vxbqf3Q/mPsDby+PHxcAkA0QBEEH78COAkYvQHogK0GRzuPzEwm+94uCG1ZiWp5xi4bFRmDXYmkLd3Eb5NUMuRe+PshTfpyPrvgnC10h1qEesHHz0o4bLJd7GU/m3L+X08rHWA5SNwggTDn3w4MGR28PIQ1hcPwL3+1rfbHFRmxeieBxxwkFN/YlKgo9Y6/DFwW+ffBDw8CPy9E0ujlQ+/uL0Fjeq/vovhzX5caZEDvunRjbXOInhC3f32I/V1cG/GxYHveTPj626zI18xeBYj+VwTV2zxVvf0s60/lhng89vtX2HA9M1XyIvjqR4Yux84EfKYx42m9E3QFJ+9clHSb/maB0HvMKp7u1TddJ6xc6vvhL2eFYDZW8O0z7X483H9u6779746KOPbty/f//4Jkv60CmuMX9qnsTLuWnNiKMzXQ1hGLcHuBrbK5rwFW+kSX7rD9t1OOZ4iW89H/nqTWtszjt/10ZztbjOTmBkg1G/XVdnXJrTaoiD9Z4ZztPmqOZiSNfnNXXS9sd1zwv70D2dv/yN2cWJ4d89WQ04xZctf4pzki+p5vi4JvruvKqZbr3lo+Vg42MkcKqV8Kt+Z5u93NbY1O8+0eN9N2xOOdh9yVI/jt4z/mnT45ssJ+TpNqEkJY0MjSDwCIvnJwlBSjI2RGHB3wMqdrVcrsU4gPKZy9c1u5sZPsEDrtweXH1rdaOydwBxsjmw+PrmW+M6qHHUWHnaIJytd1PUWAcLp5qNl3ifaMTyoYSdT332wpOnf1mKDTZ/3zgd3DA9qH2AECOfOvTIBwh2/Pnh5xqul7Re4MbWPnphP/bYY8ee6IMa5FqOdL99iROPo3w+RJjbAzlh1Qtzal2teLbWHhjxgpdY5wsfLwdV3WrBxzrM+PHFywiHTf9wpvJ0XYycOBmrrz2GXa1UTcZs8rC1T/W8cxiH9tcZqFZx4uWVx9m0N/qkPnjs8vBhhwun3EY+RA69qTZjfYdF5eQnxnXc60X+OKZwiJrxMMefX7XF04u1OtjqLT9YMOSzRl2v8HXuqPXwYbP5ICg/3LjEV8/KVd5EHsp/c/Kh4bmOm/nm1yt11/vw9JWvGDz444SP0Xx7xt5a+2Ju72Dyo3LHFT6/c/9aS4l1OSkbHIpDddF8KDHGlxRLyscWZwqzHlG9KZf5xrFvPa3XT/3VB2KNf9jhkOqDIQ+Ni/6khD0Moj5zsYRf/MLKl8SDnU/YnkP22jMMf/tVTdVSfCrOF6CLH//4x3csLomCIiRAUskVIUGHRJwmWPNA4FvjrVMPSzciPLE9kNxEPeRo2DWGwocnVp5GGLD7k409PHCHa73fGXqhULjwwtQw/l6y1vwuVUwbhQvRg/LWQMImXg42PVGHzSDsOJ7jCb760rdJP2Im6ulw4WWuHrFUrV5AYh599NFj3ocED3v97ACq6fgk9bAW+P7EM7u81uT2zVZ8GOw491LXR/nVgrN4/cMBN/XoEzsbPnDMaaJP1vnDpvrU7/Gs1yPxchl90+0lJja7azzEmGfDBS7/9i+B3V4Uoy7nAAd2mPonHo6bJNEHfcIBthvPntfzarTOF64ewYErVz2Qz4clnKyHgQPVOxxcwxNH4ZqrQ6wPifVslR91zZ/ykwP37gWcjebyySsnfvJ1H+DXnsEQo44f/OAHxx65v/RCnv5KQz6k3hsJO40rHnK1d3iIl7s9o+LZreNBrspDCUy28lH+G5O/OX8iF25+LVOcHnV2Xce3tXiXGz/3kL5YMxdjFMeuz+biSHXGBYdz7+JP3b/tMwkfH71rf7fe6qH4iSkuLq07X9UAjx/7clJbzwrrcsGg8pezGGeE3ehcJfEk+epT/OK06+qmeia2GsJpnzY/YcMPvrEcruudsfsGT77uf7nUWg73uT2Qt36aexbyuXnv3r0vAHOoAAsSRFARNQVJfpHyoAFGkZG8xvAVBzucDoS5vG7OmlUOozl7DeNbUfkb+5EslR9uTRLjwWaNP2xaLH8vVjHy8D/je1jws6Yu9cHzDQU2mx7IR8wdSGv+pLCXnN+dstcfG6VGuV33J5H9xX7fXm2UGxkHNthtOh6u4Rnhq8nDwN9TxdffzbPu/zrt73iJrR7+7SFfvNSAh9w9YNkdLtcOkvj2wTUc/ecHTw/VRzs7fIzWXdt/kp+5muX0wcE3evj6Iq+69Fu/+PCXr/3iaz1MvZe7/bZPnRG/566vsNjUG0c9U5da5YBj5CemPHzlNvLXO34eeHBhwuKvBrXjyT81p37q0v7y6+akrvtghCNsnPTJvvDHS97OojNlVDNsGHzVDkcf66H8+LERvVGLmnwAsC+w+jBgb/S3B41r+2MNhperfwHqww8/PP7ut//bFlfcYXY+iB5T9791deCnvvqQ6pfY+gYrxY8dH3j7EMQv//bPNb5Env8nxYuRxz4ZzdnbN37xM2azD3qqNvtHOhvOppcYHD2g+kjxZa8n5vaKqGvPhDV81GwPcTJnt3d6R3GSl8YzPzY+1dM5kbNaaSKeXxzEqoXd2YWHp3PpfggTbxw7L86mazjW1GDESX7X+kXll4sdnpzyiOVP+FdXHIxyGIl1PW0Ue8aAbfQlAH84MOU2mrPrr1Hdzh8csebwjm+yP//5z+8AQ0ABDmkbJ6DkiuKHFHUdkNjWqWtEUhjI8QtDrKb1Tco6QVBDNd/hZOebhClHjXYwbA4Va4yn3xXB12T5YGkuxcWBaI3iKKfDRT2cwl7eVP5vfetbh481sfHTQ02HoQ5x/PGrDhslFr///Oc/x03n77X6Byqs+RbkIebwiuvwwKkGMfXMHJaa+KjPg5IdfxzsF4Vj7ttsPTOK69CT+mFezSQca/h5QfeAVjN7sUZaTDhUDNE/13jwbU/Y6ym+5g6189HLY/dFnPr1zgF3Nqzppwe6mM6Ma/3Gw361Z3qo3vZIHztjRvF6Ks5DtGu85SqneftF8KP1Qw7nX7wc1vSL2Bfc1CavdThxcS3eH0zDmXTj86nXeMCXrxrlsCa+OuuJkWQXx7/eeGjqT/cHe/n0QjzeuFjzIRCuXvOD4cyqlT1O8hF8idzUmeQnlvDjb4/xgEfN5bfv7R+Vp5HoW1qutZ2VDx5EH2lxYZrjZ6+oHpi3r3rBR49gudZXZ9V+hVE+MTBgiYFjTT5remKN7Xz/dlbk4U/5soVBq8mICxvhE7f2hGwMjvWifbVHVLw4oxpgyS9GfHXB46d+OGzi48pWPCyxNB7UGp84idtaCRy+JN7WqTkMPU7rQ+KMyyEuznES76yVw31Sz8zhHTl/8YtfHH/wSWCN5RBhjjWMspPIOeCA+FK+yNQMMfzginXgepjz8anGwRDLFxYJg/KFFSY5yD8srgdzuePkRnbD8bcub7lt5tbDRmHUMPXJ5xCxi2mNmDsgXoIw5K3JXeun3H3Cw08MXJtHvCQ8uLwMxfmxrhcWX3b55cXHw0VtcGGwmasLH3YxcMTj4kWDQw9fPrgRc980+BJ54PKBzS4nPHWrYfeHjxg98AIz98nONyjr8tbj9rfr5j1kiTUYDm4c1QWL4rPxcnu49rDv7OIIm08x7T2c8sHWr36Hz5eNH/8egPKE55rgqS96xS6H+HrUGhwxbNY7Pwk/+cTbSy9dI0z3hhjX4nEn4euTFwufzrA1efVEP+yBOP0Uwzc+RB1qxpMvez1kdz7dY/GD7do6zL4pyeeFj6t/gczo7PkzAXxxkJ8SNmpuTU4jxan7CDaxbi6//ZOve4yva/2wj64XE151715Q0vVVyrc9i3O2cpirN+0s0HLjjqcYHFonraklVQMbbD0oJ2z7ZCTs8UjMYVK5xFP56gf/5q6LL7a+irPGTglM+a3VezFw4y+GX/5yVYs53/jR7OXJl485/+yw2OXtzIp1XqnrOFdXPnjTcGDEpb4k5eUfN/WyEb7OYfnas9ZgHvf/T3/608vfySoKyX5s5AHPmb0NEdghaLQODJmIGIlDhwSfrgk815qUrQ1zM3fDwCXwakCxlG1VA/ByIxp90+xFnD8feNQLTQ789CAcYk7kc11tBJ4+ecjh2k2vP7thXppesgSOByFuHkD89URudvjVLl4ONcT1jE1h4QFDbJg0P/vIh/SgrPdhwN19EEvYOxu0A0qMeufMwPRBwUMVnpxe4MV0UMVQvZDbS0VsOeSVP2x+OMRJH4xi9Fyv1Gwdnhx62RnmA4Pg5aWApxg5/DjIBzI+Pij4wNDLisgNV854yB0fdao/f75xNOKAE3yqD+psj4i5uDD54GDdPVB+eV3LhYsa5PZhoA8E+uHDpX2Gpw94kO5tvnLiY02fqbzVaE1+/H1bao/V4jw7O/zE8HNdr9mqRZwc/cSKLw787Ed5zdUmvzypGru2RuHyrSa16Am7dcKWHX7zchG8rJtfp9blqu/tpbl4yrb52NSPu+eDvei+syZeDC44529dT6hYo/r4xZeIlZ9/+1xPKCkHuxEv0vrmJ9VrnS1e9ovNddy3n86a/Lsv1p0P3K2JY8chHsWos9zm1Z6/WHb+fPA21iv3CeHb/ooVs5zE8DGS6ql+PiS/eFZrPa+WRA7r4lxbj6Nrfbh45plnjj9drCEMVGMjXLMV2YFnAwLMnD9lsyZZhZlb0ww2Dw0KUw6/t/GQ6xOoWIKT/HiRcxPkNnpZtQHw5FKDm9fNLA5HN3g/6jKXn/C3Wew4eFDgDN8aqcHi6oE59fDoUOCLU812jQM+MIl64mPdA08eseLqgVrEwRVD81MruxywrOEozppei+UL34sAHl835e6JGP3DxZyfOc2PrfzyyGGET2Domz7Ckc83IHuAIxx11TsjXzHhy03hdjbEF4OPmq3LAVNeLwC18sdLLHt1heda7R4K8srlZaE/ajOXj3RW+LUH4pcHDvW3fTDiYE1d8NonfI3EOr7U2dcL8fBw8ntVLzcYPrQk4tWDb72XA0d2OOrrxcynF1p81Gmuts4gHkYcxLLrn3y+5cOibHzjxuZHwwSmXhi9WKz5J0udAzXxFw9bbutsOMotTj5qjc0a37XTnW8v9FgN7Gy4Oovy8KvOfGHom9zXqXV4pLmRDYZrmOxEjc5sL1b87Qsb/zjW32zVU474kzh3xohzCJtP/ka+8WHDgYQhh2trFGb+csMvR1hilpuc5WN3/tqHPWfmnSU1hmdeLa7hUj7qYuPHBr/+lJ/wo/LF1zoxt1YOGMRoXs8pjuLkc11dce2Mhh1Wc9L9B896GOTg7F980rQOIBLI9SBUcAUBESQxYI1kB1ozaODUTRs+TA8BD7DIwEfINdywbZqxogi8indNwjGPew8QB6wXuGtcxcL2QKA95Cju1uX1cHJYarg82wu1yAMrTP1wbZ0/m9z4tQGw8aQeVh5AuPqwQPo2Vb/giacEB3aqVna49UEczsYewOzyiRGvV9bzJ0b8xeIPG6b9yJe0xzD49hC0rp5+hywGBsz2RW7SPhpxJOb1DmZccWCDAXNvYP44hEdw40uqMxssoideZP5QkfrYOzfOg7MCXx3wSbHywNzzyd/5sRYvuLja/86LsZqIUU65rZuLxRUP37rN5ar/RnlxUF97YcQBHhw+znd8+BtxwMmL0H3ITuq7NTjmMP3BONdyqAmm/uOkPrnE4GyuPvc4XH8QT04/TfIn4cX70NCPkP2kA4f2JhULywvSvDMoxlyOeimWmuNdH9Utzh667pxYKyY/9utUTsLX9c5hEH5Ev/BoP404sPPHQYzzotd89cr9jzv/MOXp/tq6jfLB5B9/Yl3e+lCPzrxp+PZOvGt2uHFgMyf85UrNxbnuGVMsu9zqMscTtl7ANMeL2Fe2+G0e1/nxYYMNs57CNHedmIvjI67+sJ/VOZaH3yob7f6Anyau+cAQEyc8zYkcFy+++OLxX90hwqnNKYAdkEAF0RpjzcivOFKDiIbmo3AqLhw3QQ/ONqFYMXiQOFgn1hRQjLn8DqXN7SVbjINQHtfhOJCuNcoanx5qeMYhHjjLiQ+blzExt8amRj6+ZfWn06zD49PN5KUkjweew27NJ3/8+KihXvBXH8WpmmCqIS7w7AW7h1QxHXRx8hB2+N3wWy87/PZLfrh6ajRnJ/D0jL+RvT5Uixi2eKfy4m8sd2fJtd7JVR4xRmt8PKTkEUsJ7vqPS34w5NafcKjfI+qznHjWS/vgVwl9K4MpFi513d6IwUE+OWDpKTy5qouPMZ7h1nf+4uTsw6EPA3jyE6+Orutp+2AtTHlxhJnwxVUcv2pprT6Ko2rBh/BzvrJVrx+9i2HHg4bbvvngqI7iE+vhE/PqEw9fHUbzei4fJfaW1AOjftk/Kh/fsNN84X2ViOcPo 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 DqJtfJkD4eas18nYotLF79Yoz8Uo6e4dabKbW/w62xUJx9Y5vut1JpYWOq3R+z22n3D17o97uUjtjh4bPVdf8sVZz4pn3g5C51Lebxs/SgZB3XI6Vx7sMpN4kyM8qSbrzVjdiJ/Z3TtSev1tT6xUXO9YnPderHldt2c6gsVK8aa687orluD0dwYDsHLGYZTXLXmD4OwbY/y42OEZcSjvMZUTqM4+cot3v51b/PRh3oVnn0UF3drSTlWyd6DVDyRx1rz60QucaRemLOLp/XFSK3vnlc3zbczoO6Ln/3sZ8e/+MS5ZBXAKdtZ8pEoyUYiVMMkhgXTddJDMI0cPsY9SOJWiZurQyDGRuFkPQ6uNctL07WHCvEp2Vye/bTnZtYcMV5CcSFsHRjqIeXGxlNe9cpD5JG/DZGLH1UrXHhE3vrHL60218ScmsOMexzVYC4GF/y6dvD0S04PKn+ytE9i5cmXuPaNV67q50fY1ACzuJRvujeVGLnVj6+9t57dy1dvE7nEepD2kiX1Tpx4fPnJndTnPmTgAgOm/ngxiIFRnBGutfarGuRwLXfYbFScsb2EkQ0GMcpXLIElJu7xEJcfH9IaXwIv7MRanNRZ/8qhLtyyu9YfYznVqD/y8rPuWq7lUB69ZYfR/SOfmPpuzZw/cR0mW3jyizUux+rcnvhA7EXrHPsTrOZ8q5sPPvaOlBOf8OBT/Ktva6T8s10l1ZZPWOIosV5OwodNbNfGNHFdT+sHG6xUDj3TP2eWOOfEvS3OvsvROZZXnGuxYcaZb9fthXVxREw2mPEywiTFU/evZyVe9TQO8WLvfMIwdy222pPtgf7gWP3WxLDB+38iNxwihpjLp05SHbBJ+Y2dr3zE4VsNro//IEChu0FIAlAACXwLJeb5tNYohtbY5sQ8IkRx3VzUWrqxCsO1AokHMx92XDwgekBSePJ4udhoN74/6q05/o5k//clUbcXpgc9THYv4jaasKdETjHW21Q1a7hP94QdJzys4VTP5XBNYPKh8OoLUa9r8UZzObzQ+fO1Js4cZzV7SKqVH+WDs99tPfHEE8daOXGh9Vb/fDuIJ37yEJypHKRDJjYlvknhJL59sWYfPBgJjmJh1zcPCH1jk1ecePtrjYqz/7jzgcvPdX0wwtQzXPQADrFv/ehRLfzkhGtkq29w6gORi7+1csrHhqMes/ehgb91/YYFG5b+xT/e7XN7VS/zIWwwijWmMKhrfwjJSNSEk7PRw0GtxFxenOwNv/Z6c7LXK2qOJ9/6yAbX/uKhBr7tpet8xbLxs07jzq4/+qmO5RqWc+zv1fqdbb8OgWmUR//x2ZzqEJua12Oya2JaM79K2LfnpJji2a3zxYfdecIrxe2su//mxRVrrh/1vP1g95zzzIMhlp/8zV0XuzzSYnCPsxjnJJtc+Lm2xm4uFoa5PaD2LBz8+VAYxPkU097y2/uDiC+Or5rdg3jC5Kdm4jzA+iqRGw7O9odUi9jyGNvHuJjjZy3uMHAR6/rg+utf//qORYFUoCTAEKA9ZHqBRcZmuRbHH7gNMNcgidtQ69Yq2rq1pLwVZZ3GiW6xcNpgjbYW32rBxwgXd03Pj823VP8AQ4cmHuZq1sB6IV/cYegD/vHC1TW7FwCebUC98XDrhQ2XPwzXMCj/1hJzIg4HNeXnk7y//+tl40fb5q59OIBhTupJfcfJ72bjRl1Xix70EtJf/SN654bBBT4OnQl2OXoBwpLDyN7D3RyePOqA2YcZ+fr3QXHgX656xW70MqjH5vz4y+Xsqb29FY+nUUw/fRCHNzs8WObi+Oslfub84bvGxUtEjJtaDM5s8svhDPHFxZp6E9jZ9UPtcNoDOX0ocI2TPLQeyKFea0bKF151wMJZr/EysquVWMPByLf71XU1wyXi8JdDvPz81Gkk+fPFEYb/RMDIpz1Spzg1i7Gmr/bEOeiDCz5i5cKRijcn4nwIxMkLxf2sRnvh7z77k/Pmet0oX/utVziEDZedysOXDTc8OotETv3Ixrc+1g+y83gTMVS99Zofn5Q4f3pBccVdHjH6yG7PcIFnrf7zZ4eNJ1vngq863avuOfXI5SdX1vVKrHyEr1h7opfmcPtgg68YOOzVY6x32fDgV0421/D54c2newQPwo+SarSm5vaRv7MOz3nSG74p3gRO+xY/ePzFhk35WRdjXf3W5QufwK4u68QZO35cLFiTOFnMUQLkJSHA+HYoSLHUNSWwaORci4fvugMBx2hOO1zEtfVs4lwXa8SFXY5yyWHNXB3WaRJPyq9ajW2G625OG3edLrYRP3kdTuomMsfpfGiqzVgfcDpLOeLsOq4dEJvt4Wq/PJz5uQE6JLTY9lg8u9xGa2zVAFs8fzbzbnK28rsWCyNhdwN1o6u7A1kt/HtIu5bTaF5P4MgNQ7xYfu2/a7VYo93oceJHXMNw6PXFC5iKr3555evlKK+ewoLr2giLTZ44l1O8hx8f+DAoHpQ9jq6tVS+c8rSekjDE6CNfNfF1Tesvwcd+8U/2mi9Rg33CARc+MKonYZe/fRHnxWZvcYBHcYqPtR5KYvrwIbZa5Naz+s63uuJiFAOjPvITaw1v0jnRQx86fciD6yzqb/czDGukWPnEU3WYy1Gu6mOvXvZdK57yUQ8JIzycKdk81YJr/YFlrTl/Ys43lau+ZiPGzdc1bX/5yKmG7jO9TcwpnuL4lkNeNrz4sPGDg3vYfNg7F9brj1h26/zN+ajHPL6ED2muXiIXDBK/sy9byoaDXLR9iwNVz2LpTzWyu07gZW90Do//tD0jpxrZobHGzoaA6wqvgHzNxYdhbKOsK4RdrOZS9hXr6cabE7GaGmeKF182ozzNu6bFU2utizdWh2ub5YZsboRRfop/WOG2rkfWy2uEAVc+0uEQQ/hs/fzbEyPZPTLKg58XB2wPEw8PB9SfxnQTxYuIqR4YOFiDm90cLtUDMWsjapBP7UZxSbz6ZsYXjgMtZ1heAEZ5+eCgZzDDYYPdw5pNTfXetXUcaPgUjvPDh8Jqr12r3U2QVINYOHxbFxN/nMXCp/UUpk/PXiR8PeSXh5HfmSetbmu+XahXfmvx4gPHKFcCa30okQsXvuuPL3/rRN7ykzhSdr5ytB/8KG6+BbHpRz0pl7GY1oneOK++cSTVqXZ9s26/5aVw20eiN/iJg280x8eLn/qdbX3uVwUw++amNjjy1g9aDLVuns9Z+agxjS8lzkp2/tnDz1Z8tdRLtvap 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 nH9y7zox9YFOjfonrrwzJ27MRl 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 jLp/+yglLDG71zlo91YcjG8w+ZPtyws8eYd+7h49ctDM0yrF58uvMKQw29esDMbJXG874eLfoQzaY4sTzl6f/rElNcOzxw5Pak79a7NV/MXKS+OUHh59YEgYfXDoLZ42jvlVTsdRZxEesuPrDDwdxek7N9c1+/TPKL6/+6k29EqMX1QUvhcVHLB/a3Ehxr24YYtwNWPG2Vh9f+WDHrd805WsOg6+7a12cOR/Y4vZX8TjZM+cXfn1kV4u7bMxPTzo7vDzvnYccxge//vrrc4GcgEkmUBLEulwAqTlNPKTIkfbERt4hK1qsRjqgcrE7NAKDdgB8zZFMrHck/ZkfrJohvoNjf5U4wMVdJbBwxhN2F9F+Ocw7PEp6EPQhLOP2SIxRDlLPrOXbwzTKxyaulxS/ctkn/B04LvhZ0 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& quot alt=& quot & quot /& & & & & & em& Figure 2 Exposed stratigraphy (ice/dust) on the margins of GrIS at Kronprins Christian Land. Photography reproduced from [3].& /em& & & & & By conducting & #948 & sup& & /sup& O measurements on the exposed ice, [3] and [4] have identified the low-dust (clearer) ice to the left in Fig. 2 as being Holocene and the high-dust (dirty) ice close to the margin as pre-Holocene ice. & & & & & Another way to study the dust layers on the GrIS is to drill ice cores [5]. This technique allows us to characterise the size and shape of dust trapped within the ice and to match it with the contemporary climate [5, 6].& & & & & strong& . The Problem& /strong& & & & & Layered deposits of ice and dust cover the Martian poles. These Polar Layered Deposits (PLD) have been mapped from orbiters, revealing a stratigraphy thought to be linked with changes in the orbital parameters of Mars [e.g. 7]. PLD are in some places exposed, which allows us to study their reflectance [8, 9].& & & & Reflectance models, such as the widely-used model developed by Hapke [10], are tools that allow us to retrieve the amount of dust present within a surface from its reflectance spectrum.& It has been shown that this model only reproduces the reflectance of an ice and dust mixture accurately if the size and shape of the dust grains are well known [11]. Without knowledge of those two parameters, the errors made in the modelling of the reflectance of dust and ice mixtures are expected to be decisive.& & & & & strong& . Our Approach& /strong& & & & & We propose to use our knowledge of the characteristics of the dust in the Greenland ice sheet to calibrate Hapke& #8217 s reflectance model as follows:& & & ol& & li& We use the locations identified by [3,4] in Greenland.& /li& & li& Sentinel-2 products allow us to retrieve the bottom-of-atmosphere (BOA) reflectance of the selected locations.& /li& & li& Since [3,4] have estimated the age of the exposed ice and dust layers in Greenland, we can relate these layers to the layering found in the ice cores [12] and determine their dust content, as well as the size and shape of the dust grains.& /li& & li& We use the ice core data as input for the Hapke model and compare the output with the actual reflectance spectra measured with Sentinel-2.& /li& & /ol& & & This exercise will allow us to assess the performance of the reflectance model when it comes to fit reflectance spectra obtained from satellite imagery. By doing so, we aim to evaluate how accurately we can derive dust concentrations from the Martian PLD using similar approaches.& & & & & strong& Acknowledgements& /strong& & & & class=& quot Sectionheading& quot & & span lang=& quot EN-GB& quot & This work has been carried out within the framework of an Early.Postdoc Mobility granted by the Swiss National Science Foundation.& /span& & & & class=& quot Sectionheading& quot & & strong& & span lang=& quot EN-GB& quot & References& /span& & /strong& & & & & [1] T. Blunier and J. Schwander (2000). Physics of Ice Core Records: 307-326& & & & [2] Rapp D. (2013) Ice Ages and Interglacials. Springer Praxis Books. & & & & & [3] Reeh et al (2002). Annals of Glaciology, 35.& & & & [4] MacGregor et al (2019). AGU, Abstract #C11C-1280.& & & & [5] Vallelonga P. T. and Svensson A. (2014) Springer Science, 463-485.& & & & [6] Scheuvens D. and Kandler K. (2014) Springer Science, 15-50& & & & [7] Smith I. B. et al. (2016) Icarus, 308, 2-14.& & & & [8] Becerra P. et al. (2017) GRL, 44, 66-70.& & & & [9] Becerra P. et al. (2019) GRL, 46, 7268-7277& & & & [10] Hapke (1993). Cambridge University Press.& & & & [11] Yoldi Z. et al. (2015) GRL, 42, 6205-6212& & & & [12] Svensson A. et al. (2005) JGR, 110& &
Publisher: American Geophysical Union (AGU)
Date: 19-05-2015
DOI: 10.1002/2015GL063296
Publisher: Copernicus GmbH
Date: 27-03-2015
Abstract: Abstract. Whereas ice cores from high accumulation sites in coastal Antarctica clearly demonstrate annual layering, it is debated whether a seasonal signal is also preserved in ice cores from lower accumulation sites further inland and particularly on the East Antarctic Plateau. In this study, we examine five metres of early Holocene ice from the Dome Fuji (DF) ice core in high temporal resolution by continuous flow analysis. The ice was continuously analyzed for concentrations of dust, sodium, ammonium, liquid conductivity, and water isotopic composition. Furthermore, a dielectric profiling was performed on the solid ice. In most of the analyzed ice, the multi-parameter impurity dataset appears to resolve the seasonal variability although the identification of annual layers is not always unambiguous. A layer counting based on the same principles as those previously applied to the Greenland NGRIP and the Antarctic EPICA Dronning Maud Land (EDML) ice cores leads to a mean annual layer thickness for the DF ice of 3.0 ± 0.3 cm that compares well to existing estimates. The measured DF section is linked to the EDML ice core through a characteristic pattern of three significant acidity peaks that are present in both cores. The corresponding section of the EDML ice core has recently been dated by annual layer counting and the number of years identified independently in the two cores agree within error estimates. We therefore conclude that, to first order, the annual signal is preserved in this section of the DF core. This case study demonstrates the feasibility of determining annually deposited strata on the central Eastern Antarctic Plateau. It also opens the possibility of resolving annual layers in the Eemian section of the DF ice core where the accumulation is estimated to have been greater than in the Holocene.
Publisher: Copernicus GmbH
Date: 24-08-2015
Abstract: Abstract. The role of sea ice in the Earth climate system is still under debate, although it is known to influence albedo, ocean circulation, and atmosphere-ocean heat and gas exchange. Here we present a reconstruction of AD 1950 to 1998 sea ice in the Laptev Sea based on the Akademii Nauk ice core (Severnaya Zemlya, Russian Arctic). The halogens bromine (Br) and iodine (I) are strongly influenced by sea ice processes. Bromine reacts with the sea ice surface in auto-catalyzing "Bromine explosion" events causing an enrichment of the Br / Na ratio and the bromine excess (Brexc) in snow compared to that in seawater. Iodine is emitted from algal communities growing under sea ice. The results suggest a connection between Brexc and spring sea ice area, as well as a connection between iodine concentration and summer sea ice area. These two halogens are therefore good candidates for extended reconstructions of past sea ice changes in the Arctic.
Publisher: Copernicus GmbH
Date: 11-08-2021
Abstract: Abstract. There are enormous costs involved in transporting snow and ice s les to home laboratories for “simple” analyses in order to constrain annual layer thicknesses and identify accumulation rates of specific sites. It is well known that depositional noise, incurred from factors such as wind drifts, seasonally biased deposition and melt layers can influence in idual snow and firn records and that multiple cores are required to produce statistically robust time series. Thus, at many sites, core s les are measured in the field for densification, but the annual accumulation and the content of chemical impurities are often represented by just one core to reduce transport costs. We have developed a portable “lightweight in situ analysis” (LISA) box for ice, firn and snow analysis that is capable of constraining annual layers through the continuous flow analysis of meltwater conductivity and hydrogen peroxide under field conditions. The box can run using a small gasoline generator and weighs less than 50 kg. The LISA box was tested under field conditions at the East Greenland Ice-core Project (EastGRIP) deep ice core drilling site in northern Greenland. Analysis of the top 2 m of snow from seven sites in northern Greenland allowed the reconstruction of regional snow accumulation patterns for the 2015–2018 period (summer to summer).
Publisher: Copernicus GmbH
Date: 12-07-2013
Abstract: Abstract. Sea ice is an integral part of the earth's climate system because it affects planetary albedo, sea-surface salinity, and the atmosphere–ocean exchange of reactive gases and aerosols. Bromine and iodine chemistry is active at polar sea ice margins with the occurrence of bromine explosions and the biological production of organoiodine from sea ice algae. Satellite measurements demonstrate that concentrations of bromine oxide (BrO) and iodine oxide (IO) decrease over sea ice toward the Antarctic interior. Here we present speciation measurements of bromine and iodine in the TALDICE (TALos Dome Ice CorE) ice core (159°11' E, 72°49' S 2315 m a.s.l.) spanning the last 215 ky. The Talos Dome ice core is located 250 km inland and is sensitive to marine air masses intruding onto the Antarctic Plateau. Talos Dome bromide (Br−) is positively correlated with temperature and negatively correlated with sodium (Na). Based on the Br−/Na seawater ratio, bromide is depleted in the ice during glacial periods and enriched during interglacial periods. Total iodine, consisting of iodide (I−) and iodate (IO3−), peaks during glacials with lower values during interglacial periods. Although IO3− is considered the most stable iodine species in the atmosphere it was only observed in the TALDICE record during glacial maxima. Sea ice dynamics are arguably the primary driver of halogen fluxes over glacial–interglacial timescales, by altering the distance between the sea ice edge and the Antarctic plateau and by altering the surface area of sea ice available to algal colonization. Based on our results we propose the use of both halogens for examining Antarctic variability of past sea ice extent.
Publisher: Elsevier BV
Date: 07-2014
DOI: 10.1016/J.SCITOTENV.2014.03.120
Abstract: Lead (Pb) isotopic compositions and concentrations, and barium (Ba) and indium (In) concentrations have been analysed at sub-annual resolution in three sections from a <110 m ice core dated to the 18th and 20th centuries, as well as snow pit s les dated to 2004/2005, recovered from the East Rongbuk Glacier in the high-altitude Himalayas. Ice core sections indicate that atmospheric chemistry prior to ~1,953 was controlled by mineral dust inputs, with no discernible volcanic or anthropogenic contributions. Eighteenth century monsoon ice core chemistry is indicative of dominant contributions from local Himalayan sources non-monsoon ice core chemistry is linked to contributions from local (Himalayan), regional (Indian/Thar Desert) and long-range (North Africa, Central Asia) sources. Twentieth century monsoon and non-monsoon ice core data demonstrate similar seasonal sources of mineral dust, however with a transition to less-radiogenic isotopic signatures that suggests local and regional climate/environmental change. The snow pit record demonstrates natural and anthropogenic contributions during both seasons, with increased anthropogenic influence during non-monsoon times. Monsoon anthropogenic inputs are most likely sourced to South/South-East Asia and/or India, whereas non-monsoon anthropogenic inputs are most likely sourced to India and Central Asia.
Publisher: Copernicus GmbH
Date: 13-07-2016
DOI: 10.5194/CP-2016-74
Abstract: Abstract. The Law Dome site is ideal for the evaluation of sea ice proxies due to its location near to the Antarctic coast, regular and high accumulation throughout the year, an absence of surface melting or remobilization, and minimal multiyear sea ice. We present records of bromine and iodine concentrations and their enrichment beyond seawater compositions, arguing that halogen enrichment is indicative of the local sea ice area, particularly the 90–110° E sector of the Wilkes coast. Our findings support the results of previous studies of sea ice variability from Law Dome, indicating that Wilkes coast sea ice area is currently at its lowest level since the start of the 20th century. From the Law Dome DSS1213 firn core, 26 years of monthly deposition data indicate that the period of peak bromine enrichment is during Austral spring-summer, from November to February. Results from a traverse along the lee (Western) side of Law Dome show low levels of sodium and bromine deposition, with the greatest fluxes in the vicinity of the Law Dome summit. Finally, iodine enrichment is well correlated to that of bromine, indicating a common, sea ice source for their enrichment.
Publisher: Copernicus GmbH
Date: 09-09-2021
Abstract: Abstract. Paleoclimate archives, such as high-resolution ice core records, provide a means to investigate past climate variability. Until recently, the Law Dome (Dome Summit South site) ice core record remained one of few millennial-length high-resolution coastal records in East Antarctica. A new ice core drilled in 2017/2018 at Mount Brown South, approximately 1000 km west of Law Dome, provides an additional high-resolution record that will likely span the last millennium in the Indian Ocean sector of East Antarctica. Here, we compare snow accumulation rates and sea salt concentrations in the upper portion (∼ 20 m) of three Mount Brown South ice cores and an updated Law Dome record over the period 1975–2016. Annual sea salt concentrations from the Mount Brown South site record preserve a stronger signal for the El Niño–Southern Oscillation (ENSO austral winter and spring, r = 0.533, p 0.001, Multivariate El Niño Index) compared to a previously defined Law Dome record of summer sea salt concentrations (November–February, r = 0.398, p = 0.010, Southern Oscillation Index). The Mount Brown South site record and Law Dome record preserve inverse signals for the ENSO, possibly due to longitudinal variability in meridional transport in the southern Indian Ocean, although further analysis is needed to confirm this. We suggest that ENSO-related sea surface temperature anomalies in the equatorial Pacific drive atmospheric teleconnections in the southern mid-latitudes. These anomalies are associated with a weakening (strengthening) of regional westerly winds to the north of Mount Brown South that correspond to years of low (high) sea salt deposition at Mount Brown South during La Niña (El Niño) events. The extended Mount Brown South annual sea salt record (when complete) may offer a new proxy record for reconstructions of the ENSO over the recent millennium, along with improved understanding of regional atmospheric variability in the southern Indian Ocean, in addition to that derived from Law Dome.
Publisher: American Chemical Society (ACS)
Date: 15-10-2013
DOI: 10.1021/ES402274Z
Abstract: Phosphorus (P) is an essential macronutrient for all living organisms. Phosphorus is often present in nature as the soluble phosphate ion PO4(3-) and has biological, terrestrial, and marine emission sources. Thus PO4(3-) detected in ice cores has the potential to be an important tracer for biological activity in the past. In this study a continuous and highly sensitive absorption method for detection of dissolved reactive phosphorus (DRP) in ice cores has been developed using a molybdate reagent and a 2-m liquid waveguide capillary cell (LWCC). DRP is the soluble form of the nutrient phosphorus, which reacts with molybdate. The method was optimized to meet the low concentrations of DRP in Greenland ice, with a depth resolution of approximately 2 cm and an analytical uncertainty of 1.1 nM (0.1 ppb) PO4(3-). The method has been applied to segments of a shallow firn core from Northeast Greenland, indicating a mean concentration level of 2.74 nM (0.26 ppb) PO4(3-) for the period 1930-2005 with a standard deviation of 1.37 nM (0.13 ppb) PO4(3-) and values reaching as high as 10.52 nM (1 ppb) PO4(3-). Similar levels were detected for the period 1771-1823. Based on impurity abundances, dust and biogenic particles were found to be the most likely sources of DRP deposited in Northeast Greenland.
Publisher: Copernicus GmbH
Date: 08-03-2013
Abstract: Abstract. Atmospheric fluxes of iron (Fe) over the past 200 kyr are reported for the coastal Antarctic Talos Dome ice core, based on acid leachable Fe concentrations. Fluxes of Fe to Talos Dome were consistently greater than those at Dome C, with the greatest difference observed during interglacial climates. We observe different Fe flux trends at Dome C and Talos Dome during the deglaciation and early Holocene, attributed to a combination of deglacial activation of dust sources local to Talos Dome and the reorganisation of atmospheric transport pathways with the retreat of the Ross Sea ice shelf. This supports similar findings based on dust particle sizes and fluxes and Rare Earth Element fluxes. We show that Ca and Fe should not be used as quantitative proxies for mineral dust, as they all demonstrate different deglacial trends at Talos Dome and Dome C. Considering that a 20 ppmv decrease in atmospheric CO2 at the coldest part of the last glacial maximum occurs contemporaneously with the period of greatest Fe and dust flux to Antarctica, we confirm that the maximum contribution of aeolian dust deposition to Southern Ocean sequestration of atmospheric CO2 is approximately 20 ppmv.
Publisher: Copernicus GmbH
Date: 09-04-2021
DOI: 10.5194/EGUSPHERE-EGU21-15782
Abstract: & & The Mount Brown South (MBS) ice core is an approximately 300-meter-long ice core, drilled in 2016-2017 to the south of Mount Brown, Wilhelm II Land, East Antarctica. This location in East Antarctica was chosen as it produces an ice core with well-preserved sub-annual records of both chemistry and isotope concentrations, spanning back over 1000 years. MBS is particularly well suited to represent climate variations of the Indian Ocean sector of Antarctica, and to provide information about regional volcanism in the Southern Indian Ocean region.& & & & A section of ice spanning the length of the MBS core was melted as part of the autumn 2019 continuous flow analysis (CFA) c aign at the Physics of Ice, Climate, and Earth (PICE) group at the University of Copenhagen. During this c aign, measurements were conducted for chemistry and impurities contained in the ice, in addition to water isotopes. The data measured in Copenhagen include measurements of H& sub& & /sub& O& sub& ,& /sub& pH, electrolytic conductivity, and NH& sub& & /sub& & sup& +& /sup& , Ca& sup& +& /sup& , and Na& sup& +& /sup& & ions, in addition to insoluble particulate concentrations and size distribution measured using an Abakus laser particle counter.& & & & Here, we present an overview of the CFA chemistry and impurity data, as well as preliminary investigations into the size distribution of insoluble particles and the presence of volcanic material within the ice. These initial chemistry and particulate size distribution data sets are useful in order to identify sections of the MBS core to subject to further analysis to increase our understanding of volcanic activity in the Southern Indian Ocean region.& &
Publisher: American Geophysical Union (AGU)
Date: 04-2015
DOI: 10.1002/2014JD022602
Publisher: Copernicus GmbH
Date: 02-03-2021
Publisher: Copernicus GmbH
Date: 26-06-2018
Publisher: American Geophysical Union (AGU)
Date: 27-04-2013
DOI: 10.1002/GRL.50296
Publisher: Copernicus GmbH
Date: 20-10-2021
Abstract: Abstract. Records of chemical impurities from ice cores enable us to reconstruct the past deposition of aerosols onto the polar ice sheets and alpine glaciers. Through that, they allow us to gain insight into changes of the source, transport and deposition processes that ultimately determine the deposition flux at the coreing location. However, the low concentrations of the aerosol species in the ice and the resulting high risk of contamination poses a formidable analytical challenge, especially if long, continuous and highly resolved records are needed. Continuous Flow Analysis, CFA, the continuous melting, decontamination and analysis of ice-core s les has mostly overcome this issue and has quickly become the de-facto standard to obtain high-resolution aerosol records from ice cores after its inception at the University of Bern in the mid 90s. Here we present continuous records of calcium (Ca2+), sodium (Na+), ammonium (NH4+), nitrate (NO3−1) and electrolytic conductivity at 1 mm depth resolution from the NGRIP (North Greenland Ice Core Project) and NEEM (North Greenland Eemian Ice Drilling) ice cores produced by the Bern Continuous Flow Analysis group in the years 2000 to 2011. Both of the records have previously been used in a number of studies but have never been published in the full 1 mm resolution. Alongside the 1 mm datasets we provide decadal averages, a detailed description of the methods, relevant references, an assessment of the quality of the data and its usable resolution. Along the way we will also give some historical context on the development of the Bern CFA system.
Publisher: Copernicus GmbH
Date: 20-07-2021
Abstract: Abstract. Biomass burning influences global atmospheric chemistry by releasing greenhouse gases and climate-forcing aerosols. There is controversy about the magnitude and timing of Holocene changes in biomass burning emissions from millennial to centennial timescales and, in particular, about the possible impact of ancient civilizations. Here we present a 5 kyr record of fire activity proxies levoglucosan, black carbon, and ammonium measured in the RECAP (Renland ice cap) ice core, drilled in coastal eastern Greenland, and therefore affected by processes occurring in the high North Atlantic region. Levoglucosan and ammonium fluxes are high from 5 to 4.5 kyr BP (thousand years before 2000 CE) followed by an abrupt decline, possibly due to monotonic decline in Northern Hemisphere summer insolation. Levoglucosan and black carbon show an abrupt decline at 1.1 kyr BP, suggesting a decline in the wildfire regime in Iceland due to the extensive land clearing caused by Viking colonizers. All fire proxies reach a minimum during the second half of the last century, after which levoglucosan and ammonium fluxes increase again, in particular over the last 200 years. We find that the fire regime reconstructed from RECAP fluxes seems mainly related to climatic changes however over the last millennium human activities might have influenced wildfire frequency/occurrence substantially.
Publisher: Copernicus GmbH
Date: 13-06-2019
Publisher: Springer Science and Business Media LLC
Date: 2013
DOI: 10.1038/NATURE11789
Abstract: Efforts to extract a Greenland ice core with a complete record of the Eemian interglacial (130,000 to 115,000 years ago) have until now been unsuccessful. The response of the Greenland ice sheet to the warmer-than-present climate of the Eemian has thus remained unclear. Here we present the new North Greenland Eemian Ice Drilling ('NEEM') ice core and show only a modest ice-sheet response to the strong warming in the early Eemian. We reconstructed the Eemian record from folded ice using globally homogeneous parameters known from dated Greenland and Antarctic ice-core records. On the basis of water stable isotopes, NEEM surface temperatures after the onset of the Eemian (126,000 years ago) peaked at 8 ± 4 degrees Celsius above the mean of the past millennium, followed by a gradual cooling that was probably driven by the decreasing summer insolation. Between 128,000 and 122,000 years ago, the thickness of the northwest Greenland ice sheet decreased by 400 ± 250 metres, reaching surface elevations 122,000 years ago of 130 ± 300 metres lower than the present. Extensive surface melt occurred at the NEEM site during the Eemian, a phenomenon witnessed when melt layers formed again at NEEM during the exceptional heat of July 2012. With additional warming, surface melt might become more common in the future.
Publisher: Copernicus GmbH
Date: 23-03-2020
DOI: 10.5194/EGUSPHERE-EGU2020-3520
Abstract: & & & & & align=& quot justify& quot & & sub& & /sub& & & & align=& quot justify& quot & & &
Publisher: Copernicus GmbH
Date: 12-02-2013
DOI: 10.5194/ACPD-13-3881-2013
Abstract: Abstract. Sea ice is an integral part of the Earth's climate system because it affects planetary albedo, sea surface salinity, and the atmosphere-ocean exchange of reactive gases and aerosols. Bromine and iodine chemistry is active at polar sea ice margins with the occurrence of bromine explosions and the biological production of organo-iodine from sea ice algae. Satellite measurements demonstrate that concentrations of bromine oxide (BrO) and iodine oxide (IO) decrease over sea ice toward the Antarctic interior. Here we present speciation measurements of bromine and iodine in the TALDICE (TALos Dome Ice CorE) ice core (159°11' E, 72°49' S, 2315 m a.s.l.) spanning the last 215 ky. The Talos Dome ice core is located 250 km inland and is sensitive to marine air masses intruding onto the Antarctic Plateau. Talos Dome bromide (Br−) is positively correlated with temperature and negatively correlated with sodium (Na). Based on the Br−/Na seawater ratio, bromide is depleted in the ice during glacial periods and enriched during interglacial periods. Total iodine, consisting of iodide (I−) and iodate (IO3−), peaks during glacials with lower values during interglacial periods. Although IO3− is considered the most stable iodine species in the atmosphere it was only observed in the TALDICE record during glacial maxima. Sea ice dynamics are arguably the primary driver of halogen fluxes over glacial-interglacial timescales, by altering the distance between the sea ice edge and the Antarctic plateau and by altering the surface area of sea ice available to algal colonization. Based on our results we propose the use of both halogens for examining Antarctic variability of past sea ice extent.
Publisher: Copernicus GmbH
Date: 16-08-2021
Publisher: Copernicus GmbH
Date: 25-03-2014
DOI: 10.5194/ACPD-14-8185-2014
Abstract: Abstract. The atmospheric chemistry of iodine and bromine in polar regions is of interest due to the key role of halogens in many atmospheric processes, particularly tropospheric ozone destruction. Bromine is emitted from the open ocean but is enriched above first-year sea ice during springtime bromine explosion events, whereas iodine is emitted from biological communities hosted by sea ice. It has been previously demonstrated that bromine and iodine are present in Antarctic ice over glacial-interglacial cycles. Here we investigate seasonal variability of bromine and iodine in polar snow and ice, to evaluate their emission, transport and deposition in Antarctica and the Arctic and better understand potential links to sea ice. We find that bromine enrichment (relative to sea salt content) and iodine concentrations in polar ice do vary seasonally in Arctic snow and Antarctic ice and we relate such variability to satellite-based observations of tropospheric halogen concentrations. Peaks of bromine enrichment in Arctic snow and Antarctic ice occur in spring and summer, when sunlight is present. Iodine concentrations are largest in winter Antarctic ice strata, contrary to contemporary observations of summer maxima in iodine emissions.
Publisher: Copernicus GmbH
Date: 10-05-2022
Abstract: Abstract. We present a record of melt events obtained from the East Greenland Ice Core Project (EastGRIP) ice core in central northeastern Greenland, covering the largest part of the Holocene. The data were acquired visually using an optical dark-field line scanner. We detect and describe melt layers and lenses, seen as bubble-free layers and lenses, throughout the ice above the bubble–clathrate transition. This transition is located at 1150 m depth in the EastGRIP ice core, corresponding to an age of 9720 years b2k. We define the brittle zone in the EastGRIP ice core as that from 650 to 950 m depth, where we count on average more than three core breaks per meter. We analyze melt layer thicknesses, correct for ice thinning, and account for missing layers due to core breaks. Our record of melt events shows a large, distinct peak around 1014 years b2k (986 CE) and a broad peak around 7000 years b2k, corresponding to the Holocene Climatic Optimum. In total, we can identify approximately 831 mm of melt (corrected for thinning) over the past 10 000 years. We find that the melt event from 986 CE is most likely a large rain event similar to that from 2012 CE, and that these two events are unprecedented throughout the Holocene. We also compare the most recent 2500 years to a tree ring composite and find an overlap between melt events and tree ring anomalies indicating warm summers. Considering the ice dynamics of the EastGRIP site resulting from the flow of the Northeast Greenland Ice Stream (NEGIS), we find that summer temperatures must have been at least 3 ± 0.6 ∘C warmer during the Early Holocene compared to today.
Publisher: Copernicus GmbH
Date: 17-07-2018
DOI: 10.5194/CP-2018-80
Abstract: Abstract. Although it has been demonstrated that the speed and magnitude of recent Arctic sea ice decline is unprecedented for the past 1,450 years, few records are available to provide a paleoclimate context for Arctic sea ice extent. Here we present a 120 kyr record of bromine enrichment from the RECAP ice core, coastal East Greenland, and reconstruct past sea ice conditions in the North Atlantic as far north as the entrance of the Arctic Ocean (50–85° N). Bromine enrichment has been previously employed to reconstruct first-year sea ice (FYSI) in the Canadian Arctic over the last glacial cycle. We find that during the last deglaciation, the transition from multi-year sea ice (MYSI) to FYSI started at ∼ 17.6 kyr, synchronous with sea ice reductions observed in the eastern Nordic seas (Müller and Stein, 2014 Hoff et al., 2016) and with the increase of North Atlantic ocean temperature (Dokken and Jansen, 1999). FYSI reached its maximum extent at 12.4–11.8 kyr, after which open-water conditions started to dominate, as supported by sea ice records from the eastern Nordic seas and the North Icelandic shelf. Our results show that over the last 120,000 years, sea ice extent was greatest during Marine Isotope Stage (MIS) 2 and MIS4, with decreased levels during MIS3 and the onset of the last glacial period (late-MIS5). Sea ice extent during the last 10 kyr (Holocene/MIS1) has been less than at any time in the last 120 kyr.
Publisher: Copernicus GmbH
Date: 21-06-2018
Abstract: Abstract. We determined the specific biomass burning biomarker levoglucosan in an ice core from the TALos Dome Ice CorE drilling project (TALDICE) during the mid- to late Holocene (6000–750 BP). The levoglucosan record is characterized by a long-term increase with higher rates starting at ∼ 4000 BP and peaks between 2500 and 1500 BP. The anomalous increase in levoglucosan centered at ∼ 2000 BP is consistent with other Antarctic biomass burning records. Multiple atmospheric phenomena affect the coastal Antarctic Talos Dome drilling site, where the Southern Annular Mode (SAM) is the most prominent as the Southern Annular Mode Index (SAMA) correlates with stable isotopes in precipitation throughout the most recent 1000 years of the ice core. If this connection remains throughout the mid- to late Holocene, then our results demonstrate that changes in biomass burning, rather than changes in atmospheric transport, are the major influence on the TALDICE levoglucosan record. Comparisons with charcoal syntheses help evaluate fire sources, showing a greater contribution from southern South American fires than from Australian biomass burning. The levoglucosan peak centered at ∼ 2000 BP occurs during a cool period throughout the Southern Hemisphere, yet during a time of increased fire activity in both northern and southern Patagonia. This peak in biomass burning is influenced by increased vegetation in southern South America from a preceding humid period, in which the vegetation desiccated during the following cool, dry period. The Talos Dome ice core record from 6000 to ∼ 750 BP currently does not provide clear evidence that the fire record may be strongly affected by anthropogenic activities during the mid- to late Holocene, although we cannot exclude at least a partial influence.
Publisher: Proceedings of the National Academy of Sciences
Date: 09-11-2020
Abstract: The last glacial period was marked by abrupt, high- litude Greenland warming events, known as Dansgaard–Oeschger (D-O) events, which were likely linked with Nordic Seas sea ice retreat. We reconstruct the sea ice variability during four D-O events ∼32–41 ka with unprecedented spatial representation and rigorous temporal constraints, using proxy records from two Norwegian Sea sediment cores and an East Greenland ice core. Our records reveal millennial-scale variations between extended sea ice conditions and reduced seasonal sea ice conditions, with rapid sea ice reductions at the onset of D-O events. Our findings imply that rapid sea ice reduction lified ocean-atmosphere processes causing the abrupt D-O climate transitions, providing constraints for model simulations of abrupt climate changes and their mechanisms.
Publisher: Copernicus GmbH
Date: 10-11-2017
Abstract: Abstract. Here we present Antarctic snow accumulation variability at the regional scale over the past 1000 years. A total of 79 ice core snow accumulation records were gathered and assigned to seven geographical regions, separating the high-accumulation coastal zones below 2000 m of elevation from the dry central Antarctic Plateau. The regional composites of annual snow accumulation were evaluated against modelled surface mass balance (SMB) from RACMO2.3p2 and precipitation from ERA-Interim reanalysis. With the exception of the Weddell Sea coast, the low-elevation composites capture the regional precipitation and SMB variability as defined by the models. The central Antarctic sites lack coherency and either do not represent regional precipitation or indicate the model inability to capture relevant precipitation processes in the cold, dry central plateau. Our results show that SMB for the total Antarctic Ice Sheet (including ice shelves) has increased at a rate of 7 ± 0.13 Gt decade−1 since 1800 AD, representing a net reduction in sea level of ∼ 0.02 mm decade−1 since 1800 and ∼ 0.04 mm decade−1 since 1900 AD. The largest contribution is from the Antarctic Peninsula (∼ 75 %) where the annual average SMB during the most recent decade (2001–2010) is 123 ± 44 Gt yr−1 higher than the annual average during the first decade of the 19th century. Only four ice core records cover the full 1000 years, and they suggest a decrease in snow accumulation during this period. However, our study emphasizes the importance of low-elevation coastal zones, which have been under-represented in previous investigations of temporal snow accumulation.
Publisher: Copernicus GmbH
Date: 16-07-2021
DOI: 10.5194/CP-2021-89
Abstract: Abstract. We present a record of melt events obtained from the EastGRIP ice core, in central north eastern Greenland, covering the largest part of the Holocene. The data were acquired visually using an optical dark-field line scanner. We detect and describe bubble free layers and -lenses throughout the ice above the bubble-clathrate transition, located at 1100 m in the EastGRIP ice core, corresponding to an age of 9720 years b2k. We distinguish between melt layers (bubble free layers continuous over the width of the core), melt lenses (discontinuous), crusts (thin and sharp bubble free layers) and attribute three levels of confidence to each of these, depending on how clearly they are identified. Our record of melt events shows a large, distinct peak around 1014 years b2k (986 CE) and a broad peak around 7000 years b2k corresponding to the Holocene Climatic Optimum. We analyze melt layer thicknesses and correct for ice thinning, we account for missing layers due to core breaks, and ignore layers thinner than 1.5 mm. We define the brittle zone in the EastGRIP ice core from 650 m to 950 m depth, where we count on average more than three core breaks per meter. In total we can identify approximately 831 mm of melt (corrected for thinning) over the past 10,000 years. We compare our melt layer record to the GISP2 and Renland melt layer records. Our climatic interpretation matches well with the Little Ice Age, the Medieval and Roman Warm Periods, the Holocene Climatic Optimum, and the 8.2 kyr event. We also compare the most recent 2500 years to a tree ring composite and find an overlap between melt events and tree ring anomalies indicating warm summers. We open the discussion for sloping bubble free layers (tilt angle off horizontal 10°) being the effect of rheology and not climate. We also discuss our melt layers in connection to a coffee experiment (coffee as a colored substitute for melt infiltration into the snow pack) and the real time observations of the 2012 CE rain event at NEEM. We find that the melt event from 986 CE is most likely a large rain event, similar to 2012 CE, and that these two events are unprecedented throughout the Holocene. Furthermore, we suggest that the warm summer of 986 CE, with the exceptional melt event, was the trigger for the first Viking voyages to sail from Iceland to Greenland.
Publisher: Springer Science and Business Media LLC
Date: 16-04-2018
DOI: 10.1038/S41467-018-03924-3
Abstract: The Northern Hemisphere experienced dramatic changes during the last glacial, featuring vast ice sheets and abrupt climate events, while high northern latitudes during the last interglacial (Eemian) were warmer than today. Here we use high-resolution aerosol records from the Greenland NEEM ice core to reconstruct the environmental alterations in aerosol source regions accompanying these changes. Separating source and transport effects, we find strongly reduced terrestrial biogenic emissions during glacial times reflecting net loss of vegetated area in North America. Rapid climate changes during the glacial have little effect on terrestrial biogenic aerosol emissions. A strong increase in terrestrial dust emissions during the coldest intervals indicates higher aridity and dust storm activity in East Asian deserts. Glacial sea salt aerosol emissions in the North Atlantic region increase only moderately (50%), likely due to sea ice expansion. Lower aerosol concentrations in Eemian ice compared to the Holocene are mainly due to shortened atmospheric residence time, while emissions changed little.
Publisher: Copernicus GmbH
Date: 07-12-2016
Publisher: Copernicus GmbH
Date: 10-11-2016
Publisher: Copernicus GmbH
Date: 10-11-2016
Publisher: Copernicus GmbH
Date: 02-03-2021
DOI: 10.5194/TC-2021-51
Abstract: Abstract. Polar researchers spend enormous costs transporting snow and ice s les to home laboratories for simple analyses in order to constrain annual layer thicknesses and identifying accumulation rates of specific sites. It is well known that depositional noise, incurred from wind drifts, seasonally-biased deposition, melt layers and more, can influence in idual snow and firn records and that multiple cores are required to produce statistically robust time series. Thus at many sites core s les are measured in the field for densification, but the annual accumulation and the content of chemical impurities are often represented by just one core to reduce transport costs. We have developed a portable Light weight in Situ Analysis (LISA) box for ice, firn and snow analysis capable of constraining annual layers through the continuous flow analysis of melt water conductivity and peroxide under field conditions. The box can run using a small gasoline-generator and weighs less than 50 kg. The LISA box was tested under field conditions at the deep ice core drilling site EastGRIP in Northern Greenland. Analysis of the top 2 metres of snow from 7 sites in Northern Greenland (Figure 1) allowed the reconstruction of regional snow accumulation patterns for the period 2015–2019.
Start Date: 2007
End Date: 2009
Funder: European Research Council
View Funded ActivityStart Date: 2017
End Date: 2019
Funder: Carlsbergfondet
View Funded Activity