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  • PANGAEA  (3)
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  • 1
    Publication Date: 2023-06-27
    Description: Coccolith assemblages of core MD00-2354 are used for reconstructing primary productivity in the northwestern Arabian Sea. The results cover the last 23,000 years. The attached data are original coccolith counting by using a polarized light microscope, and primary productivity. Counting result of each coccolith species is shown by the sum of counting number (n) in all fields of view. Primary productivity (gC m^-2 yr^-2) is calculated by an empirical equation that convert the percentage of lower euphotic zone species Florisphaera profunda to primary productivity. Details can be found in the related article.
    Keywords: 002(2bis); AGE; Calcidiscus leptoporus; Calciosolenia spp.; Calculated; CALYPSO; Calypso Corer; coccolith; Coccoliths; Coccolithus spp.; Counting; DEPTH, sediment/rock; Discosphaera spp.; Emiliania huxleyi; Eyepiece field of view; Florisphaera profunda; Gephyrocapsa oceanica; Gephyrocapsa spp., small; Helicosphaera spp.; IMAGES VI - ENCENS/SHEBA; Last Glacial Maximum; Marion Dufresne (1995); Mass; MD00-2354; MD117; northwestern Arabian Sea; Oolithotus spp.; Pontosphaera spp.; Primary production of carbon per area, yearly; primary productivity; Rhabdosphaera spp.; Syracosphaera spp.; Umbellosphaera spp.; Umbilicosphaera spp.
    Type: Dataset
    Format: text/tab-separated-values, 5700 data points
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Cauquoin, Alexandre; Landais, Amaëlle; Raisbeck, Grant M; Jouzel, Jean; Bazin, Lucie; Kageyama, Masa; Peterschmitt, Jean-Yves; Werner, Martin; Bard, Edouard; ASTER Team (2015): Comparing past accumulation rate reconstructions in East Antarctic ice cores using 10Be, water isotopes and CMIP5-PMIP3 models. Climate of the Past, 11(3), 355-367, https://doi.org/10.5194/cp-11-355-2015
    Publication Date: 2023-07-19
    Description: Ice cores are exceptional archives which allow us to reconstruct a wealth of climatic parameters as well as past atmospheric composition over the last 800 kyr in Antarctica. Inferring the variations in past accumulation rate in polar regions is essential both for documenting past climate and for ice core chronology. On the East Antarctic Plateau, the accumulation rate is so small that annual layers cannot be identified and accumulation rate is mainly deduced from the water isotopic composition assuming constant temporal relationships between temperature, water isotopic composition and accumulation rate. Such an assumption leads to large uncertainties on the reconstructed past accumulation rate. Here, we use high-resolution beryllium-10 (10Be) as an alternative tool for inferring past accumulation rate for the EPICA Dome C ice core, in East Antarctica. We present a high-resolution 10Be record covering a full climatic cycle over the period 269 to 355 ka from Marine Isotope Stage (MIS) 9 to 10, including a period warmer than pre-industrial (MIS 9.3 optimum). After correcting 10Be for the estimated effect of the palaeomagnetic field, we deduce that the 10Be reconstruction is in reasonably good agreement with EDC3 values for the full cycle except for the period warmer than present. For the latter, the accumulation is up to 13% larger (4.46 cm ie per yr instead of 3.95). This result is in agreement with the studies suggesting an underestimation of the deuterium-based accumulation for the optimum of the Holocene (Parrenin et al., 2007, doi:10.5194/cp-3-243-2007). Using the relationship between accumulation rate and surface temperature from the saturation vapour relationship, the 10Be-based accumulation rate reconstruction suggests that the temperature increase between the MIS 9.3 optimum and present day may be 2.4 K warmer than estimated by the water isotopes reconstruction. We compare these reconstructions to the available model results from CMIP5-PMIP3 for a glacial and an interglacial state, i.e. for the Last Glacial Maximum and pre-industrial climates. While 3 out of 7 models show relatively good agreement with the reconstructions of the accumulation-temperature relationships based on 10Be and water isotopes, the other models either underestimate or overestimate it, resulting in a range of model results much larger than the range of the reconstructions. Indeed, the models can encounter some difficulties in simulating precipitation changes linked with temperature or water isotope content on the East Antarctic Plateau during glacial-interglacial transition and need to be improved in the future.
    Keywords: Beryllium-10, water; DEPTH, ice/snow; Dome C; Dome C, Antarctica; EDC; EPICA; EPICA Dome C; European Project for Ice Coring in Antarctica; ICEDRILL; Ice drill; Reference of data
    Type: Dataset
    Format: text/tab-separated-values, 4396 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-04-20
    Keywords: Abies; Abrupt Climate Changes and Environmental Responses; Accumulation model; Acer; ACER; Alnus; Ambrosia-type; Anogramma leptophylla; Anthemis; Apiaceae; Artemisia; Asphodelus; Aster-type; Betula; Boraginaceae; Botrychium-type; Brassicaceae; Buxus; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Calluna; CALYPSO; Calypso Corer; Campanulaceae; Carpinus betulus; Caryophyllaceae; Cedrus; Centaurea cyanus-type; Centaurea nigra-type; Centaurea scabiosa-type; cf. Haplophyllum; Chenopodiaceae-type; Cistus; Classical age-modeling approach, CLAM (Blaauw, 2010); Convolvulus; Corylus; Counting, palynology; Cryptogramma; Cupressaceae; Cyperaceae; Daphne; DEPTH, sediment/rock; Ephedra distachya-type; Ephedra fragilis-type; Epilobium-type; Ericaceae; Erodium; Euphorbia; Fabaceae; Fagus; Filipendula; Frangula alnus; Fraxinus excelsior-type; Galium-type; Gentianaceae; Geranium; Hedera; Helianthemum; Herniaria-type; Hippophae; Ilex; IMAGES V; Isoetes; Juglans; Knautia-type; Lamiaceae; Lemna; Liliaceae; Lythrum; Marion Dufresne (1995); MD114; MD99-2331; Mentha-type; Mercurialis-type; Myrica; Myriophyllum alterniflorum; Myriophyllum verticillatum; Nymphaea alba-type; Olea; Onagraceae; Phillyrea; Picea; Pinus; Pistacia; Plantago; Platanus; Plumbaginaceae; Poaceae; Pollen indeterminata; Polygonum aviculare-type; Polygonum persicaria-type; Polypodiales; Polypodium vulgare-type; Potamogeton; Quercus; Quercus suber-type; Ranunculaceae; Resedaceae; Rhamnus-type; Rosaceae; Rumex; Salix; Sambucus; Sample ID; Sanguisorba minor ssp. minor; Sanguisorba officinalis; Scabiosa; Scrophulariaceae; Sparganium/Typha; Sphagnum; Taraxacum; Thalictrum; Tilia; Type of age model; Ulex-type; Ulmus; Unknown; Urtica-type; Valerianaceae; Vigo
    Type: Dataset
    Format: text/tab-separated-values, 26710 data points
    Location Call Number Limitation Availability
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