# ITASE 330 Year Antarctic Ice Core Snow Accumulation Data #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # 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/22711 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/icecore/antarctica/itase-gv2accum.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Ice Core # # Dataset DOI: # # Parameter_Keywords: accumulation #-------------------- # Contribution_Date # Date: 2017-09-22 #-------------------- # File_Last_Modified_Date # Date: 2017-09-22 #-------------------- # Title # Study_Name: ITASE 330 Year Antarctic Ice Core Snow Accumulation Data #-------------------- # Investigators # Investigators: Frezzotti, M.; Scarchilli, C.; Becagli, S.; Proposito, M.; Urbini, S. #-------------------- # Description_Notes_and_Keywords # Description: Snow accumulation data from 2 ITASE Antarctic ice cores. # No thinning function applied. Upstream glaciology condition from field data or/and satellite survey (DEM, Landsat etc.): si. # Upstream glaciology influence the SMB stratigraphy: No #-------------------- # Publication # Authors: M. Frezzotti, C. Scarchilli, S. Becagli, M. Proposito, and S. Urbini # Published_Date_or_Year: 2013-02-13 # Published_Title: A synthesis of the Antarctic surface mass balance during the last 800 yr # Journal_Name: The Cryosphere # Volume: 7 # Edition: # Issue: # Pages: 303-319 # Report_Number: # DOI: 10.5194/tc-7-303-2013 # Online_Resource: https://www.the-cryosphere.net/7/303/2013/ # Full_Citation: # Abstract: Global climate models suggest that Antarctic snowfall should increase in a warming climate and mitigate rises in the sea level. Several processes affect surface mass balance (SMB), introducing large uncertainties in past, present and future ice sheet mass balance. To provide an extended perspective on the past SMB of Antarctica, we used 67 firn/ice core records to reconstruct the temporal variability in the SMB over the past 800 yr and, in greater detail, over the last 200 yr. Our SMB reconstructions indicate that the SMB changes over most of Antarctica are statistically negligible and that the current SMB is not exceptionally high compared to the last 800 yr. High-accumulation periods have occurred in the past, specifically during the 1370s and 1610s. However, a clear increase in accumulation of more than 10% has occurred in high SMB coastal regions and over the highest part of the East Antarctic ice divide since the 1960s. To explain the differences in behaviour between the coastal/ice divide sites and the rest of Antarctica, we suggest that a higher frequency of blocking anticyclones increases the precipitation at coastal sites, leading to the advection of moist air in the highest areas, whereas blowing snow and/or erosion have significant negative impacts on the SMB at windy sites. Eight hundred years of stacked records of the SMB mimic the total solar irradiance during the 13th and 18th centuries. The link between those two variables is probably indirect and linked to a teleconnection in atmospheric circulation that forces complex feedback between the tropical Pacific and Antarctica via the generation and propagation of a large-scale atmospheric wave train. #------------------ # Publication # Authors: O. Magand, M. Frezzotti, M. Pourchet, B. Stenni, L. Genoni and M. Fily # Published_Date_or_Year: 2004-01-01 # Published_Title: Climate variability along latitudinal and longitudinal transects in East Antarctica # Journal_Name: Annals of Glaciology # Volume: 39 # Edition: # Issue: # Pages: 351-358 # Report_Number: # DOI: 10.3189/172756404781813961 # Online_Resource: # Full_Citation: # Abstract: #------------------ # Funding_Agency # Funding_Agency_Name: PNRA # Grant: ITASE2001 #------------------ # Site_Information # Site_Name: GV2 # Location: Antarctica # Country: # Northernmost_Latitude: -71.71 # Southernmost_Latitude: -71.71 # Easternmost_Longitude: 145.26 # Westernmost_Longitude: 145.26 # Elevation: 2143 m #------------------ # Data_Collection # Collection_Name: GV2Accum # Earliest_Year: 1670 # Most_Recent_Year: 2003 # Time_Unit: AD # Core_Length: 55 # Notes: mean annual accumulation rate 112 mm w.e./year (Tambora-present); 2002-2003 values from stake measurements #------------------ # Chronology_Information # Chronology: # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) # ## age_AD age, , , AD, , , , ,N, ## accum accumulation rate, snow, , kg/m2/yr, annual, ice core, annual counting by (nssSO4 etc.),,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_AD accum 2003 46 2002 139 2001 110 2000 132 1999 90 1998 135 1997 139 1996 116 1995 150 1994 104 1993 131 1992 140 1991 113 1990 138 1989 131 1988 117 1987 127 1986 139 1985 129 1984 119 1983 128 1982 122 1981 136 1980 126 1979 138 1978 117 1977 115 1976 130 1975 120 1974 130 1973 126 1972 116 1971 121 1970 110 1969 137 1968 106 1967 125 1966 120 1965 130 1964 110 1963 126 1962 129 1961 109 1960 119 1959 129 1958 144 1957 108 1956 114 1955 108 1954 135 1953 134 1952 115 1951 130 1950 89 1949 141 1948 114 1947 125 1946 98 1945 112 1944 140 1943 117 1942 89 1941 138 1940 103 1939 115 1938 115 1937 87 1936 116 1935 121 1934 104 1933 168 1932 92 1931 118 1930 118 1929 112 1928 118 1927 118 1926 94 1925 119 1924 119 1923 119 1922 119 1921 92 1920 119 1919 119 1918 85 1917 120 1916 100 1915 118 1914 100 1913 131 1912 109 1911 122 1910 115 1909 66 1908 96 1907 126 1906 102 1905 108 1904 128 1903 103 1902 97 1901 122 1900 121 1899 91 1898 103 1897 109 1896 108 1895 102 1894 108 1893 120 1892 85 1891 121 1890 91 1889 121 1888 91 1887 105 1886 80 1885 117 1884 111 1883 92 1882 123 1881 105 1880 111 1879 93 1878 93 1877 105 1876 99 1875 114 1874 102 1873 121 1872 83 1871 120 1870 93 1869 93 1868 112 1867 106 1866 113 1865 94 1864 94 1863 107 1862 101 1861 95 1860 95 1859 113 1858 69 1857 114 1856 95 1855 127 1854 76 1853 95 1852 115 1851 102 1850 102 1849 96 1848 118 1847 96 1846 96 1845 109 1844 71 1843 110 1842 98 1841 98 1840 111 1839 111 1838 65 1837 111 1836 98 1835 104 1834 78 1833 98 1832 98 1831 98 1830 111 1829 100 1828 103 1827 97 1826 84 1825 103 1824 110 1823 98 1822 98 1821 65 1820 124 1819 78 1818 69 1817 104 1816 110 1815 97 1814 91 1813 73 1812 106 1811 100 1810 86 1809 106 1808 66 1807 93 1806 99 1805 93 1804 119 1803 86 1802 100 1801 66 1800 93 1799 140 1798 67 1797 100 1796 73 1795 107 1794 111 1793 69 1792 103 1791 110 1790 76 1789 69 1788 134 1787 67 1786 107 1785 87 1784 80 1783 102 1782 102 1781 68 1780 102 1779 75 1778 108 1777 101 1776 68 1775 115 1774 81 1773 75 1772 102 1771 102 1770 82 1769 75 1768 86 1767 104 1766 104 1765 69 1764 118 1763 76 1762 69 1761 103 1760 76 1759 117 1758 69 1757 83 1756 104 1755 69 1754 104 1753 83 1752 83 1751 103 1750 69 1749 103 1748 83 1747 83 1746 83 1745 103 1744 69 1743 110 1742 93 1741 87 1740 70 1739 70 1738 105 1737 84 1736 98 1735 77 1734 70 1733 105 1732 70 1731 87 1730 91 1729 78 1728 106 1727 71 1726 78 1725 92 1724 71 1723 106 1722 71 1721 120 1720 92 1719 50 1718 106 1717 71 1716 71 1715 106 1714 71 1713 78 1712 107 1711 71 1710 71 1709 96 1708 89 1707 72 1706 108 1705 72 1704 79 1703 79 1702 108 1701 72 1700 72 1699 87 1698 87 1697 79 1696 108 1695 72 1694 72 1693 79 1692 79 1691 110 1690 73 1689 81 1688 80 1687 88 1686 87 1685 72 1684 72 1683 108 1682 80 1681 87 1680 80 1679 72 1678 72 1677 109 1676 80 1675 80 1674 74 1673 74 1672 74 1671 74 1670 74