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  • PANGAEA  (33)
  • Cambridge University Press  (1)
  • Copernicus Publications  (1)
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  • 1
    Publication Date: 2018-03-22
    Description: The positive degree-day (PDD) model provides a particularly simple approach to estimate surface melt from land ice based solely on air temperature. Here, we use a climate and snow pack simulation of the Greenland ice sheet (Modèle Atmosphérique Régional, MAR) as a reference, to analyze this scheme in three realizations that incorporate the sub-monthly temperature variability differently: (i) by local values, (ii) by local values that systematically overestimate the dampened variability associated with intense melting or (iii) by one constant value. Local calibrations reveal that incorporating local temperature variability, particularly resolving the dampened variability of melt areas, renders model parameters more temperature-dependent. This indicates that the negative feedback between surface melt and temperature variability introduces a non-linearity into the temperature – melt relation. To assess the skill of the individual realizations, we hindcast melt rates from MAR temperatures for each realization. For this purpose, we globally calibrate Greenland-wide, constant parameters. Realization (i) exhibits shortcomings in the spatial representation of surface melt unless temperature-dependent instead of constant parameters are calibrated. The other realizations perform comparatively well with constant parametrizations. The skill of the PDD model primarily depends, however, on the consistent calibration rather than on the specific representation of variability.
    Print ISSN: 0022-1430
    Electronic ISSN: 1727-5652
    Topics: Geography , Geosciences
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  • 2
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    PANGAEA
    In:  Supplement to: Stein, Ruediger; Fahl, Kirsten; Gierz, Paul; Niessen, Frank; Lohmann, Gerrit (2017): Arctic Ocean sea ice cover during the penultimate glacial and the last interglacial. Nature Communications, 8(1), 13 pp, https://doi.org/10.1038/s41467-017-00552-1
    Publication Date: 2023-03-16
    Description: Coinciding with global warming, Arctic sea ice has rapidly decreased during the last four decades and climate scenarios suggest that sea ice may completely disappear during summer within the next about 50-100 years. Here we produce Arctic sea ice biomarker proxy records for the penultimate glacial (Marine Isotope Stage 6) and the subsequent last interglacial (Marine Isotope Stage 5e). The latter is a time interval when the high latitudes were significantly warmer than today. We document that even under such warmer climate conditions, sea ice existed in the central Arctic Ocean during summer, whereas sea ice was significantly reduced along the Barents Sea continental margin influenced by Atlantic Water inflow. Our proxy reconstruction of the last interglacial sea ice cover is supported by climate simulations, although some proxy data/model inconsistencies still exist. During late Marine Isotope Stage 6, polynya-type conditions occurred off the major ice sheets along the northern Barents and East Siberian continental margins, contradicting a giant Marine Isotope Stage 6 ice shelf that covered the entire Arctic Ocean.
    Keywords: AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 3
    Publication Date: 2023-03-25
    Description: We present stable hydrogen isotope (dD) and carbon isotope (d13C) of sedimentary terrestrial leaf wax, namely n-alkanes, from marine sediment core SO 188-17286-1 (Bay of Bengal, 19°44.58′N, 89°52.76′E, 1428 m water depth) for the last ~130 kyr. There are four different homologues (n-C27, n-C29, n-C31 and n-C33). The concentration data of each homologues are also present here. Identification and quantification (concentration) of the individual compounds was carried out with an Agilent 6890 Gas Chromatograph (GC) with a flame ionization detector in the Geoscience, University of Kiel. The d13C and dD values of n-alkanes were then analyzed at the Leibniz Laboratory for Radiometric Dating and Stable Isotope Research in Kiel University using an Agilent 6890 GC coupled with a Thermo Finnigan MAT 253 isotope ratio mass (IRMS).
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 4
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    PANGAEA
    In:  Supplement to: Gierz, Paul; Werner, Martin; Lohmann, Gerrit (2017): Simulating climate and stable water isotopes during the Last Interglacial using a coupled climate-isotope model. Journal of Advances in Modeling Earth Systems, https://doi.org/10.1002/2017MS001056
    Publication Date: 2023-01-13
    Description: The simulation output of the stable water isotope enabled climate model ECHAM5/MPIOM-wiso is provided for time periods 130ka BP, 125 ka BP, and 120 ka BP. Boundary conditions for the simulations were provided by modified the greenhouse gas concentrations (available from ice core measurements) and the orbital configuration (calculated via the Berger solutions).
    Type: Dataset
    Format: application/zip, 185.8 MBytes
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  • 5
    Publication Date: 2023-01-30
    Description: This dataset contains results from simulations with the AWI Earth System Models AWI-ESM with two different model setups: one with an interactive ice sheet model (PISM) for the Greenland ice sheet domain and one without. With both model setups, the Representative Concentration Pathways scenarios RCP4.5 and RCP8.5 were simulated. The simulation runs were prolonged to the year 2200. We investigated the effect of the incorporated ice sheet model on the Atlantic meridional overturning circulation. As the ice sheet is not only melting but also growing in some areas, the freshwater release is partly compensated. Therefore, the effect on the Atlantic meridional overturning circulation is rather small. The dataset contains time series of global average temperature, atmospheric and oceanic freshwater fluxes for the Atlantic catchment area, several ice volume fluxes of the Greenland ice sheet, and the AMOC index. Furthermore, it contains spatial data mostly as anomalies (the last 30 year average minus the control state) of the Greenland ice sheet thickness and mass balance, sea surface salinity and sea ice concentration and precipitation minus evaporation and vertical profiles of anomalies of temperature, salinity, and density for the regions of deep water formation in the North Atlantic. All files are in the NetCDF format.
    Keywords: AMOC; coupled climate model; future scenarios; Greenland ice sheet
    Type: Dataset
    Format: application/zip, 160.7 MBytes
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  • 6
    Publication Date: 2023-06-27
    Keywords: AGE; Agilent 6890 GC coupled with a Thermo Finnigan MAT 253 isotope ratio mass (IRMS); Bay of Bengal; Bengal Sea Level; DEPTH, sediment/rock; GIK17286-1; Gravity corer (Kiel type); n-Alkane C27, δD; n-Alkane C27, δD, standard error; n-Alkane C29, δD; n-Alkane C29, δD, standard error; n-Alkane C31, δD; n-Alkane C31, δD, standard error; n-Alkane C33, δD; n-Alkane C33, δD, standard error; SL; SO188/1; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 1050 data points
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  • 7
    Publication Date: 2023-06-27
    Keywords: AGE; Agilent 6890N gas chromatography (GC) system and a flame ionization detector (FID); Bay of Bengal; Bengal Sea Level; DEPTH, sediment/rock; GIK17286-1; Gravity corer (Kiel type); n-Alkane C27, per unit mass total organic carbon; n-Alkane C29, per unit mass total organic carbon; n-Alkane C31, per unit mass total organic carbon; n-Alkane C33, per unit mass total organic carbon; SL; SO188/1; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 428 data points
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  • 8
    Publication Date: 2023-06-27
    Keywords: AGE; Agilent 6890 GC coupled with a Thermo Finnigan MAT 253 isotope ratio mass (IRMS); Bay of Bengal; Bengal Sea Level; DEPTH, sediment/rock; GIK17286-1; Gravity corer (Kiel type); n-Alkane C27, δ13C; n-Alkane C27, δ13C, standard error; n-Alkane C29, δ13C; n-Alkane C29, δ13C, standard error; n-Alkane C31, δ13C; n-Alkane C31, δ13C, standard error; n-Alkane C33, δ13C; n-Alkane C33, δ13C, standard error; SL; SO188/1; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 736 data points
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  • 9
    Publication Date: 2023-11-30
    Keywords: (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene, per unit mass total organic carbon; (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene per unit sediment mass; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; 24-ethylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Ethylcholest-5-en-3beta-ol per unit sediment mass; 24-Methylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholest-5-en-3beta-ol per unit sediment mass; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol per unit sediment mass; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol per unit sediment mass; AGE; ARK-VIII/2; AWI_Paleo; Calculated; Carbon, organic, total; DEPTH, sediment/rock; Gas chromatography - Mass spectrometry (GC-MS); Giant box corer; GKG; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Phytoplankton biomarker Brassicasterol IP25 index; Phytoplankton biomarker C25 HBI (Z) triene IP25 index; Polarstern; PS19/112; PS19 EPOS II; PS2138-2; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 463 data points
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  • 10
    Publication Date: 2023-11-30
    Keywords: (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene, per unit mass total organic carbon; (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene per unit sediment mass; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; 24-ethylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Ethylcholest-5-en-3beta-ol per unit sediment mass; 24-Methylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholest-5-en-3beta-ol per unit sediment mass; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol per unit sediment mass; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol per unit sediment mass; ARK-VIII/3; AWI_Paleo; Carbon, organic, total; DEPTH, sediment/rock; Gas chromatography - Mass spectrometry (GC-MS); KAL; Kasten corer; Morris Jesup Rise; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS19/218; PS19 ARCTIC91; PS2200-5
    Type: Dataset
    Format: text/tab-separated-values, 390 data points
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