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Data Publisher for Earth & Environmental Science

Werner, Martin; Jouzel, Jean; Masson-Delmotte, Valerie; Lohmann, Gerrit (2018): ECHAM5-wiso simulation data for Antarctica. PANGAEA, https://doi.org/10.1594/PANGAEA.893855, Supplement to: Werner, M et al. (2018): Reconciling glacial Antarctic water stable isotopes with ice sheet topography and the isotopic paleothermometer. Nature Communications, 9(1), https://doi.org/10.1038/s41467-018-05430-y

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Abstract:
Stable water isotope records from Antarctica are key for our understanding of Quaternary climate variations. However, the exact quantitative interpretation of these important climate proxy records in terms of surface temperature, ice sheet height and other climatic changes is still a matter of debate. Here we report results obtained with an atmospheric general circulation model equipped with water isotopes, run at a high-spatial horizontal resolution of one-by-one degree. Comparing different glacial maximum ice sheet reconstructions, a best model data match is achieved for the PMIP3 reconstruction. Reduced West Antarctic elevation changes between 400 and 800 m lead to further improved agreement with ice core data. Our modern and glacial climate simulations support the validity of the isotopic paleothermometer approach based on the use of present-day observations and reveal that a glacial ocean state as displayed in the GLAMAP reconstruction is suitable for capturing the observed glacial isotope changes in Antarctic ice cores.
Coverage:
Latitude: -90.000000 * Longitude: 0.000000
Event(s):
Antarctica * Latitude: -90.000000 * Longitude: 0.000000
Comment:
This data set contains simulation results for Antarctica produced with the ECHAM5-wiso isotope-enabled GCM under present-day (PD) and LGM climate boundary conditions.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File contentContentWerner, Martin
2File nameFile nameWerner, Martin
3File formatFile formatWerner, Martin
4File sizeFile sizekByteWerner, Martin
5Uniform resource locator/link to fileURL fileWerner, Martin
Size:
50 data points

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