# Alto dell'Ortles Glacier Ice Core Age Models #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 2.0 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/20367 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/icecore/trop/ortles/ortles2016dens.txt # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Ice Cores # # Parameter_Keywords: age control #-------------------- # Contribution_Date # Date: 2016-11-17 #-------------------- # Title # Study_Name: Alto dell'Ortles Glacier Ice Core Age Models #-------------------- # Investigators # Investigators: Gabrielli, P. #-------------------- # Description_and_Notes # Description: Age Models and supporting information for the Alto dell'Ortles ice cores in the Tyrolean Alps, Italy. # #-------------------- # Publication # Authors: Paolo Gabrielli, Carlo Barbante, Giuliano Bertagna, Michele Bertó, Daniel Binder, Alberto Carton, Luca Carturan, Federico Cazorzi, Giulio Cozzi, Giancarlo Dalla Fontana, Mary Davis, Fabrizio De Blasi, Roberto Dinale, Gianfranco Dragà, Giuliano Dreossi, Daniela Festi, Massimo Frezzotti, Jacopo Gabrieli, Stephan P. Galos, Patrick Ginot, Petra Heidenwolf, Theo M. Jenk, Natalie Kehrwald, Donald Kenny, Olivier Magand, Volkmar Mair, Vladimir Mikhalenko, Ping Nan Lin, Klaus Oeggl, Gianni Piffer, Mirko Rinaldi, Ulrich Schotterer, Margit Schwikowski, Roberto Seppi, Andrea Spolaor, Barbara Stenni, David Tonidandel, Chiara Uglietti, Victor Zagorodnov, Thomas Zanoner, and Piero Zennaro # Published_Date_or_Year: 2016-11-17 # Published_Title: Age of the Mt. Ortles ice cores, the Tyrolean Iceman and glaciation of the highest summit of South Tyrol since the Northern Hemisphere Climatic Optimum # Journal_Name: The Cryosphere # Volume: 10 # Edition: # Issue: 6 # Pages: 2779-2797 # Report_Number: # DOI: 10.5194/tc-10-2779-2016 # Online_Resource: http://www.the-cryosphere.net/10/2779/2016/ # Full_Citation: # Abstract: In 2011 four ice cores were extracted from the summit of Alto dell'Ortles (3859 m), the highest glacier of South Tyrol in the Italian Alps. This drilling site is located only 37 km southwest from where the Tyrolean Iceman, ~5.3 kyrs old, was discovered emerging from the ablating ice field of Tisenjoch (3210 m, near the Italian-Austrian border) in 1991. The excellent preservation of this mummy suggested that the Tyrolean Iceman was continuously embedded in prehistoric ice and that additional ancient ice was likely preserved elsewhere in South Tyrol. Dating of the ice cores from Alto dell'Ortles based on 210Pb, tritium, beta activity and 14C determinations, combined with an empirical model (COPRA), provides evidence for a chronologically ordered ice stratigraphy from the modern glacier surface down to the bottom ice layers with an age of ~7 kyrs, which confirms the hypothesis. Our results indicate that the drilling site has continuously been glaciated on frozen bedrock since ~7 kyrs BP. Absence of older ice on the highest glacier of South Tyrol is consistent with the removal of basal ice from bedrock during the Northern Hemisphere Climatic Optimum (6-9 kyrs BP), the warmest interval in the European Alps during the Holocene. Borehole inclinometric measurements of the current glacier flow combined with surface ground penetration radar (GPR) measurements indicate that, due to the sustained atmospheric warming since the 1980s, an acceleration of the glacier Alto dell'Ortles flow has just recently begun. Given the stratigraphic-chronological continuity of the Mt. Ortles cores over millennia, it can be argued that this behaviour has been unprecedented at this location since the Northern Hemisphere Climatic Optimum. #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: 1060115, 1461422 #------------------ # Funding_Agency # Funding_Agency_Name: Ripartizione Protezione antincendi e civile of the autonomous province of Bolzano # Grant: #------------------ # Funding_Agency # Funding_Agency_Name: Ripartizione Opere idrauliche e Ripartizione Foreste of the autonomous province of Bolzano and the Stelvio National Park # Grant: #------------------ # Site_Information # Site_Name: Alto dell'Ortles # Location: Europe>Southern Europe>Italy # Country: Italy # Northernmost_Latitude: 46.5089 # Southernmost_Latitude: 46.5089 # Easternmost_Longitude: 10.545 # Westernmost_Longitude: 10.545 # Elevation: 3859 m #------------------ # Data_Collection # Collection_Name: Ortles2016Dens # Earliest_Year: 16895 # Most_Recent_Year: 0 # Time_Unit: Cal. Year BP # Core_Length: m # Notes: #------------------ # Chronology_Information # Chronology: # # Tie Points: # Ortles core #1 Ortles core #2 # Depth (m) Depth (m) # 0.40 0.80 # 2.74 3.13 # 6.73 7.24 # 11.89 12.61 # 14.55 15.37 # 25.70 25.17 # 30.77 31.45 # 37.90 38.70 # 46.94 47.53 # 51.02 51.92 # 53.42 54.24 # 55.23 55.98 # 58.36 59.12 # 64.26 64.32 # 67.78 67.42 # 72.03 71.70 # 73.53 73.53 # # Ortles core #3 Ortles Core #2 # Depth (m) Depth (m) # 0.80 0.80 # 3.13 3.13 # 7.08 7.26 # 9.72 10.71 # 11.68 12.60 # 14.15 15.40 # 17.80 19.21 # 25.84 25.16 # 35.63 35.95 # 42.20 41.14 # 52.79 53.87 # 57.80 58.80 # 63.59 64.32 # 74.83 74.87 # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ## core Ortles core number, , , , , , , ,C ## depth_m depth, , , m, , , , ,N ## dens density, , , kg/m3, , , , ,N ## denscorr density ice-corrected, , , kg/m3, , , , ,N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # Figure 7d Density Ortles Cores 1,2,3 # core depth_m dens denscorr Core1 0.720 462 462 Core1 1.400 489 489 Core1 2.090 463 463 Core1 2.765 497 497 Core1 3.455 521 521 Core1 4.175 498 498 Core1 4.855 499 499 Core1 5.570 581 581 Core1 6.275 563 563 Core1 6.995 526 526 Core1 7.700 539 539 Core1 8.405 590 590 Core1 9.105 572 572 Core1 9.820 633 633 Core1 10.525 661 661 Core1 11.240 718 718 Core1 11.940 771 771 Core1 12.670 693 693 Core1 13.385 669 669 Core1 14.085 772 772 Core1 14.785 673 673 Core1 15.525 711 711 Core1 16.235 639 639 Core1 16.940 656 656 Core1 17.650 725 725 Core1 18.360 727 727 Core1 19.060 701 701 Core1 19.765 758 758 Core1 20.485 730 730 Core1 21.185 731 731 Core1 21.900 766 766 Core1 22.605 793 793 Core1 23.320 785 785 Core1 24.035 823 823 Core1 24.715 853 853 Core1 25.425 812 812 Core1 26.135 854 854 Core1 26.845 823 823 Core1 27.535 870 870 Core1 28.235 860 860 Core1 28.945 844 844 Core1 29.645 853 853 Core1 30.345 873 873 Core1 31.020 871 871 Core1 31.750 873 873 Core1 32.450 855 855 Core1 33.155 889 889 Core1 33.860 869 869 Core1 34.560 870 917 Core1 35.235 875 917 Core1 35.950 882 917 Core1 36.670 873 917 Core1 37.375 876 917 Core1 38.090 874 917 Core1 38.795 887 917 Core1 39.520 901 917 Core1 40.240 874 917 Core1 40.950 867 917 Core1 41.665 851 917 Core1 42.380 870 917 Core1 43.080 888 917 Core1 43.775 867 917 Core1 44.500 876 917 Core1 45.200 910 917 Core1 45.895 868 917 Core1 46.585 881 917 Core1 47.290 903 917 Core1 48.005 894 917 Core1 48.715 886 917 Core1 49.425 898 917 Core1 50.125 882 917 Core1 50.735 897 917 Core1 51.415 885 917 Core1 52.075 878 917 Core1 52.780 887 917 Core1 53.490 887 917 Core1 54.200 894 917 Core1 54.910 888 917 Core1 55.605 868 917 Core1 56.315 893 917 Core1 57.020 857 917 Core1 57.705 880 917 Core1 58.405 884 917 Core1 59.110 886 917 Core1 59.810 888 917 Core1 60.505 890 917 Core1 61.205 874 917 Core1 61.905 885 917 Core1 62.605 909 917 Core1 63.310 885 917 Core1 64.015 893 917 Core1 64.720 908 917 Core1 65.425 892 917 Core1 66.130 880 917 Core1 66.835 892 917 Core1 67.540 890 917 Core1 68.255 894 917 Core1 68.960 878 917 Core1 69.660 863 917 Core1 70.365 887 917 Core1 71.065 860 917 Core1 71.770 886 917 Core1 72.475 915 917 Core1 73.185 879 917 Core1 73.530 885 917 Core2 0.65 404 404 Core2 1.35 506 506 Core2 2.05 588 588 Core2 2.75 621 621 Core2 3.47 592 592 Core2 4.16 550 550 Core2 4.86 528 528 Core2 5.56 550 550 Core2 6.22 673 673 Core2 6.91 581 581 Core2 7.61 510 510 Core2 8.31 620 620 Core2 9.01 612 612 Core2 9.71 523 523 Core2 10.39 559 559 Core2 11.09 705 705 Core2 11.75 582 582 Core2 12.45 632 632 Core2 13.15 670 670 Core2 13.85 647 647 Core2 14.55 656 656 Core2 15.25 654 654 Core2 15.94 657 657 Core2 16.64 628 628 Core2 17.34 641 641 Core2 18.04 693 693 Core2 18.74 728 728 Core2 19.44 730 730 Core2 20.14 773 773 Core2 20.85 745 745 Core2 21.55 708 708 Core2 22.25 730 730 Core2 22.95 768 768 Core2 23.65 809 809 Core2 24.352 834 834 Core2 25.052 842 842 Core2 25.782 827 827 Core2 26.447 808 808 Core2 27.189 829 829 Core2 27.879 830 830 Core2 28.584 838 838 Core2 29.289 861 861 Core2 29.984 825 825 Core2 30.684 828 828 Core2 31.386 842 842 Core2 32.081 820 820 Core2 32.787 821 821 Core2 33.52 849 849 Core2 34.245 876 917 Core2 34.95 887 917 Core2 35.651 880 917 Core2 36.343 855 917 Core2 37.041 866 917 Core2 37.741 886 917 Core2 38.45 849 917 Core2 39.153 876 917 Core2 39.873 852 917 Core2 40.575 872 917 Core2 41.27 865 917 Core2 41.92 870 917 Core2 42.63 878 917 Core2 43.333 880 917 Core2 44.038 867 917 Core2 44.738 900 917 Core2 45.417 906 917 Core2 46.117 906 917 Core2 46.817 863 917 Core2 47.477 887 917 Core2 48.18 877 917 Core2 48.88 862 917 Core2 49.56 882 917 Core2 50.27 862 917 Core2 50.975 868 917 Core2 51.675 884 917 Core2 52.365 892 917 Core2 53.07 892 917 Core2 53.77 890 917 Core2 54.475 905 917 Core2 55.18 885 917 Core2 55.882 887 917 Core2 56.582 898 917 Core2 57.272 896 917 Core2 57.967 875 917 Core2 58.672 877 917 Core2 59.376 858 917 Core2 60.111 905 917 Core2 60.811 902 917 Core2 61.526 794 917 Core2 62.206 847 917 Core2 62.746 1005 917 Core2 63.446 809 917 Core2 64.161 863 917 Core2 64.841 874 917 Core2 65.551 853 917 Core2 66.261 845 917 Core2 66.961 841 917 Core2 67.641 827 917 Core2 68.326 757 917 Core2 69.001 898 917 Core2 69.676 860 917 Core2 70.386 886 917 Core2 71.091 873 917 Core2 71.781 903 917 Core2 72.446 857 917 Core2 73.146 789 917 Core2 73.856 854 917 Core2 74.566 862 917 Core2 74.876 787 917 Core3 0.675 470 470 Core3 1.375 512 512 Core3 2.050 520 520 Core3 2.735 530 530 Core3 3.430 518 518 Core3 4.130 601 601 Core3 4.810 531 531 Core3 5.530 511 511 Core3 6.235 564 564 Core3 6.920 566 566 Core3 7.615 604 604 Core3 8.315 648 648 Core3 9.045 558 558 Core3 9.750 561 561 Core3 10.450 744 744 Core3 11.145 726 726 Core3 11.840 707 707 Core3 12.510 656 656 Core3 13.220 776 776 Core3 13.885 676 676 Core3 14.585 792 792 Core3 15.290 711 711 Core3 15.995 644 644 Core3 16.705 675 675 Core3 17.425 784 784 Core3 18.115 765 765 Core3 18.815 706 706 Core3 19.485 741 741 Core3 20.185 777 777 Core3 20.890 765 765 Core3 21.590 745 745 Core3 22.290 768 768 Core3 22.985 788 788 Core3 23.685 831 831 Core3 24.385 838 838 Core3 25.095 838 838 Core3 25.795 846 846 Core3 26.495 863 863 Core3 27.205 861 861 Core3 27.915 881 881 Core3 28.615 897 897 Core3 29.285 897 897 Core3 29.955 902 902 Core3 30.665 874 874 Core3 31.365 865 865 Core3 32.055 853 853 Core3 32.745 883 883 Core3 33.445 883 883 Core3 34.145 886 917 Core3 34.855 871 917 Core3 35.555 856 917 Core3 36.265 876 917 Core3 36.965 891 917 Core3 37.695 901 917 Core3 38.395 890 917 Core3 39.085 913 917 Core3 39.795 891 917 Core3 40.495 890 917 Core3 41.195 890 917 Core3 41.900 888 917 Core3 42.600 870 917 Core3 43.295 885 917 Core3 43.995 877 917 Core3 44.695 939 917 Core3 45.405 899 917 Core3 46.110 901 917 Core3 46.830 897 917 Core3 47.545 889 917 Core3 48.250 890 917 Core3 48.955 899 917 Core3 49.655 894 917 Core3 50.425 901 917 Core3 51.135 909 917 Core3 51.840 899 917 Core3 52.545 909 917 Core3 53.255 911 917 Core3 53.955 891 917 Core3 54.650 890 917 Core3 55.315 893 917 Core3 56.015 891 917 Core3 56.720 894 917 Core3 57.420 904 917 Core3 58.130 899 917 Core3 58.840 924 917 Core3 59.540 931 917 Core3 60.250 890 917 Core3 60.950 896 917 Core3 61.650 904 917 Core3 62.370 935 917 Core3 63.070 917 917 Core3 63.775 890 917 Core3 64.510 916 917 Core3 65.220 934 917 Core3 65.920 907 917 Core3 66.620 911 917 Core3 67.320 936 917 Core3 68.025 898 917 Core3 68.730 907 917 Core3 69.460 885 917 Core3 70.160 899 917 Core3 70.865 914 917 Core3 71.565 913 917 Core3 72.275 915 917 Core3 73.015 910 917 Core3 73.725 901 917 Core3 74.470 918 917 Core3 74.830 876 917