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  • 1
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    PANGAEA
    In:  Supplement to: Andrews, John T; Bigg, Grant R; Wilton, David J (2014): Holocene ice-rafting and sediment transport from the glaciated margin of East Greenland (67–70°N) to the N Iceland shelves: detecting and modelling changing sediment sources. Quaternary Science Reviews, 91, 204-217, https://doi.org/10.1016/j.quascirev.2013.08.019
    Publication Date: 2023-05-12
    Description: We examine variations in the ice-rafted sources for sediments in the Iceland/East Greenland offshore marine archives by utilizing a sediment unmixing model and link the results to a coupled iceberg-ocean model. Surface samples from around Iceland and along the E/NE Greenland shelf are used to define potential sediment sources, and these are examined within the context of the down-core variations in mineralogy in the 〈2 mm sediment fraction from a transect of cores across Denmark Strait. A sediment unmixing model is used to estimate the fraction of sediment 〈2 mm off NW and N Iceland exported across Denmark Strait; this averaged between 10 and 20%. Both the sediment unmixing model and the coupled iceberg-ocean model are consistent in finding that the fraction of "far-travelled" sediments in the Denmark Strait environs is overwhelmingly of local, mid-East Greenland, provenance, and therefore with a significant cross-channel component to their travel. The Holocene record of ice-rafted sediments denotes a three-part division of the Holocene in terms of iceberg sediment transport with a notable increase in the process starting ca 4000 cal yr BP. This latter increase may represent the re-advance during the Neoglacial period of land-terminating glaciers on the Geikie Plateau to become marine-terminating. The contrast in spectral signals between these cores and the 1500-yr cycle at VM28-14, just south of the Denmark Strait, combined with the coupled iceberg-model results, leads us to speculate that the signal at VM28-14 reflects pulses in overflow waters, rather than an ice-rafted signal.
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 2
    Publication Date: 2023-05-12
    Keywords: AGE; Average; COMPCORE; Composite Core; DEPTH, sediment/rock; Error; Iceland shelf; IMAGES V; Marion Dufresne (1995); MD114; MD99-2263_2264; Provenance/source; SedUnMix
    Type: Dataset
    Format: text/tab-separated-values, 1872 data points
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  • 3
    Publication Date: 2023-05-12
    Keywords: AGE; Average; DEPTH, sediment/rock; Error; James Clark Ross; JR20000727; JR51; JR51GC-35; PC; Piston corer; Provenance/source; SedUnMix
    Type: Dataset
    Format: text/tab-separated-values, 1596 data points
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  • 4
    Publication Date: 2023-05-12
    Keywords: Albite; Amphibole; Anorthite; Anorthoclase; Biotite; Bytownite; Calcite; Chert; DEPTH, sediment/rock; Diatoms; Illite; Iron-Chlorite; Iron-Dolomite; James Clark Ross; JR20000727; JR51; JR51GC-35; Kaolinite; Labradorite; Maghemite; Microcline; Muscovite; Oligoclase; PC; Piston corer; Pyrite, FeS2; Pyroxene; Quartz; Saponite; Siderite; Smectite
    Type: Dataset
    Format: text/tab-separated-values, 3146 data points
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  • 5
    Publication Date: 2023-05-12
    Keywords: AGE; Average; COMPCORE; Composite Core; DEPTH, sediment/rock; Error; Kangerlussuaq Trough; MD99-2322_HU93030-019; Provenance/source; SedUnMix
    Type: Dataset
    Format: text/tab-separated-values, 1833 data points
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  • 6
    Publication Date: 2023-06-27
    Keywords: 75〈48〉US; Albite; Amphibole; Anorthite; Anorthoclase; BC; Biotite; Box corer; Bytownite; Calcite; CALYPSO; Calypso Corer; Chert; DEPTH, sediment/rock; Diatoms; Event label; HU93030-019; HUD93/30; Hudson; Illite; IMAGES V; Iron-Chlorite; Iron-Dolomite; Kangerlussuaq Trough; Kaolinite; Labradorite; Maghemite; Marion Dufresne (1995); MD114; MD99-2322; Microcline; Muscovite; Oligoclase; Pyrite, FeS2; Pyroxene; Quartz; Saponite; Siderite; Smectite
    Type: Dataset
    Format: text/tab-separated-values, 4472 data points
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  • 7
    Publication Date: 2023-06-27
    Keywords: -; 1650ISL; 1752ISL; Albite; Amphibole; Anorthite; Anorthoclase; Biotite; Bytownite; Calcite; CALYPSO; Calypso Corer; Chert; DEPTH, sediment/rock; Diatoms; Event label; Iceland shelf; Illite; IMAGES V; Iron-Chlorite; Iron-Dolomite; Kaolinite; Labradorite; Maghemite; Marion Dufresne (1995); MD114; MD99-2263; MD99-2264; Microcline; Muscovite; Oligoclase; Pyrite, FeS2; Pyroxene; Quartz; Saponite; Siderite; Smectite
    Type: Dataset
    Format: text/tab-separated-values, 4194 data points
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  • 8
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 102 (1995), S. 6128-6144 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: The perturbed electron propagator is discussed as a means of obtaining static linear response properties. The dynamic self-energy is derived at first order in the field and second order in correlation using a diagrammatic method. We discuss the invariance properties of the first-order perturbed electron density which may be obtained from the perturbed electron propagator formalism. © 1995 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 9
    Publication Date: 2020-10-29
    Description: The global methane (CH4) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due to a shorter atmospheric lifetime and a stronger warming potential than carbon dioxide, is challenged by the still unexplained changes of atmospheric CH4 over the past decade. Emissions and concentrations of CH4 are continuing to increase, making CH4 the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety of diffusive CH4 sources that overlap geographically, and from the destruction of CH4 by the very short-lived hydroxyl radical (OH). To address these difficulties, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate research on the methane cycle, and producing regular ( biennial) updates of the global methane budget. This consortium includes atmospheric physicists and chemists, biogeochemists of surface and marine emissions, and socio-economists who study anthropogenic emissions. Following Kirschke et al. (2013), we propose here the first version of a living review paper that integrates results of top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models, inventories and data-driven approaches (including process-based models for estimating land surface emissions and atmospheric chemistry, and inventories for anthropogenic emissions, data-driven extrapolations). For the 2003–2012 decade, global methane emissions are estimated by top-down inversions at 558 TgCH4 yr􀀀1, range 540–568. About 60% of global emissions are anthropogenic (range 50–65 %). Since 2010, the bottom-up global emission inventories have been closer to methane emissions in the most carbon intensive Representative Concentrations Pathway (RCP8.5) and higher than all other RCP scenarios. Bottom-up approaches suggest larger global emissions (736 TgCH4 yr􀀀1, range 596–884) mostly because of larger natural emissions from individual sources such as inland waters, natural wetlands and geological sources. Considering the atmospheric constraints on the top-down budget, it is likely that some of the individual emissions reported by the bottom-up approaches are overestimated, leading to too large global emissions. Latitudinal data from top-down emissions indicate a predominance of tropical emissions ( 64% of the global budget, 〈 30 N) as compared to mid ( 32 %, 30–60 N) and high northern latitudes ( 4 %, 60–90 N). Top-down inversions consistently infer lower emissions in China ( 58 TgCH4 yr􀀀1, range 51–72, 􀀀14 %) and higher emissions in Africa (86 TgCH4 yr􀀀1, range 73–108, C19 %) than bottom-up values used as prior estimates. Overall, uncertainties for anthropogenic emissions appear smaller than those from natural sources, and the uncertainties on source categories appear larger for top-down inversions than for bottom-up inventories and models. The most important source of uncertainty on the methane budget is attributable to emissions from wetland and other inland waters. We show that the wetland extent could contribute 30–40% on the estimated range for wetland emissions. Other priorities for improving the methane budget include the following: (i) the development of process-based models for inland-water emissions, (ii) the intensification of methane observations at local scale (flux measurements) to constrain bottom-up land surface models, and at regional scale (surface networks and satellites) to constrain top-down inversions, (iii) improvements in the estimation of atmospheric loss by OH, and (iv) improvements of the transport models integrated in top-down inversions. The data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (http://doi.org/10.3334/CDIAC/GLOBAL_METHANE_BUDGET_2016_V1.1) and the Global Carbon Project.
    Description: Published
    Description: 697–751
    Description: 6A. Geochimica per l'ambiente
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 10
    Publication Date: 2018-02-16
    Description: Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4/ budget over 2000– 2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from topdown studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches.The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000–2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000–2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008–2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16–32] Tg CH4 yr􀀀1 higher methane emissions over the period 2008–2012 compared to 2002–2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002–2006 and 2008–2012 differs from one atmospheric inversion study to another. However, all topdown studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.
    Description: Published
    Description: 11135–11161
    Description: 6A. Geochimica per l'ambiente
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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