# northamerica_usa_ak025 - Tebenkof Glacier - Breitenmoser Tree Ring Chronology Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # 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: # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak025 - Tebenkof Glacier - Breitenmoser Tree Ring Chronology Data #-------------------- # Investigators # Investigators: Breitenmoser, P.; Bronnimann, S.; Frank, D. #-------------------- # Description_and_Notes # Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details #-------------------- # Publication # Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D. # Published_Date_or_Year: 2014-03-11 # Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies # Journal_Name: Climate of the Past # Volume: 10 # Edition: # Issue: # Pages: 437-449 # DOI: 10.5194/cp-10-437-2014 # Online_Resource: www.clim-past.net/10/437/2014/ # Full_Citation: # Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based Vaganov–Shashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4–6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL model’s ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate. #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Site_Information # Site_Name: Tebenkof Glacier # Location: # Country: United States # Northernmost_Latitude: 60.75 # Southernmost_Latitude: 60.75 # Easternmost_Longitude: -148.45 # Westernmost_Longitude: -148.45 # Elevation: 25 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak025B # Earliest_Year: 1690 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.78071557088"}{"T2":"18.8916656498"}{"M1":"0.0219924522048"}{"M2":"0.289448382216"} #-------------------- # Species # Species_Name: mountain hemlock # Species_Code: TSME #-------------------- # Chronology: # # # #-------------------- # Variables # # Data variables follow that 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) # ##age age, , ,years AD, , , , ,N ##trsgi tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N # #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: nan # age trsgi 1690 1.021 1691 1.363 1692 1.761 1693 1.209 1694 1.054 1695 1.029 1696 0.882 1697 0.687 1698 0.613 1699 0.652 1700 1.043 1701 1.355 1702 1.157 1703 1.404 1704 1.17 1705 1.289 1706 0.738 1707 1.092 1708 0.961 1709 1.34 1710 0.96 1711 0.861 1712 1.313 1713 1.373 1714 0.972 1715 1.216 1716 0.556 1717 0.776 1718 1.298 1719 1.514 1720 1.088 1721 1.07 1722 1.087 1723 1.193 1724 1.231 1725 1.218 1726 1.006 1727 0.918 1728 1.163 1729 1.263 1730 1.017 1731 1.215 1732 1.301 1733 1.36 1734 1.004 1735 1.02 1736 0.979 1737 1.17 1738 1.011 1739 1.262 1740 0.866 1741 0.935 1742 1.021 1743 0.801 1744 0.234 1745 0.773 1746 0.761 1747 0.989 1748 1.088 1749 1.448 1750 1.279 1751 1.123 1752 0.822 1753 0.729 1754 0.49 1755 0.666 1756 0.504 1757 0.757 1758 0.9 1759 0.876 1760 1.159 1761 1.039 1762 1.428 1763 1.375 1764 1.006 1765 1.396 1766 1.096 1767 1.086 1768 0.759 1769 0.688 1770 0.638 1771 0.536 1772 1.012 1773 1.253 1774 1.407 1775 1.237 1776 0.81 1777 1.049 1778 0.603 1779 0.85 1780 1.141 1781 1.052 1782 1.136 1783 1.015 1784 1.054 1785 0.992 1786 0.864 1787 0.77 1788 0.624 1789 0.915 1790 0.607 1791 0.863 1792 0.82 1793 0.791 1794 0.737 1795 0.997 1796 0.799 1797 1.127 1798 0.888 1799 1.029 1800 0.672 1801 1.114 1802 0.985 1803 0.883 1804 0.586 1805 0.74 1806 0.996 1807 1.237 1808 1.142 1809 0.822 1810 0.918 1811 0.833 1812 1.172 1813 1.216 1814 0.854 1815 1.084 1816 1.263 1817 1.302 1818 1.287 1819 1.188 1820 1.45 1821 1.353 1822 1.609 1823 1.485 1824 1.177 1825 1.093 1826 0.701 1827 0.838 1828 1.381 1829 1.641 1830 0.976 1831 0.65 1832 1.097 1833 1.228 1834 1.279 1835 0.982 1836 0.91 1837 0.577 1838 1.213 1839 1.477 1840 1.321 1841 1.144 1842 1.028 1843 0.942 1844 1.258 1845 1.127 1846 0.899 1847 0.681 1848 0.538 1849 0.627 1850 0.682 1851 1.07 1852 0.98 1853 0.953 1854 0.701 1855 0.922 1856 0.648 1857 0.761 1858 0.674 1859 0.712 1860 0.491 1861 0.853 1862 0.892 1863 0.654 1864 0.845 1865 0.845 1866 1.03 1867 1.274 1868 1.065 1869 0.397 1870 0.776 1871 0.674 1872 0.834 1873 1.025 1874 0.888 1875 0.765 1876 0.454 1877 0.321 1878 0.443 1879 0.427 1880 0.363 1881 0.456 1882 0.354 1883 0.543 1884 1.114 1885 1.107 1886 1.076 1887 0.564 1888 0.742 1889 0.667 1890 0.649 1891 0.716 1892 1.136 1893 1.012 1894 0.327 1895 0.485 1896 0.704 1897 0.609 1898 0.681 1899 0.619 1900 0.859 1901 1.023 1902 0.971 1903 0.584 1904 0.522 1905 0.77 1906 0.918 1907 0.626 1908 0.644 1909 0.84 1910 0.726 1911 1.118 1912 0.989 1913 0.911 1914 1.086 1915 1.295 1916 1.274 1917 1.519 1918 1.454 1919 1.354 1920 1.494 1921 1.352 1922 1.1 1923 1.11 1924 1.617 1925 1.438 1926 1.352 1927 0.836 1928 0.481 1929 0.817 1930 1.255 1931 1.337 1932 1.199 1933 1.453 1934 1.343 1935 1.439 1936 1.266 1937 0.781 1938 0.591 1939 1.087 1940 1.074 1941 1.086 1942 1.629 1943 1.586 1944 1.065 1945 1.181 1946 1.184 1947 1.482 1948 1.235 1949 1.076 1950 1.361 1951 1.069 1952 1.048 1953 1.283 1954 1.013 1955 0.482 1956 0.467 1957 1.218 1958 0.869 1959 0.99 1960 1.052 1961 0.98 1962 1.047 1963 1.132 1964 1.18 1965 0.942 1966 1.178 1967 1.258 1968 1.217 1969 0.952 1970 1.039 1971 0.681 1972 1.015 1973 0.687 1974 1.154 1975 0.673 1976 1.28 1977 0.813 1978 0.763 1979 0.962 1980 0.762 1981 1.247 1982 1.028 1983 1.183 1984 1.124 1985 0.925 1986 0.852 1987 0.567 1988 0.655 1989 0.682 1990 0.703 1991 0.712