# northamerica_usa_ak094 - Prince William Sound - 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_ak094 - Prince William Sound - 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: Prince William Sound # Location: # Country: United States # Northernmost_Latitude: 60.45 # Southernmost_Latitude: 60.45 # Easternmost_Longitude: -148.33 # Westernmost_Longitude: -148.33 # Elevation: 100 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak094B # Earliest_Year: 1600 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.87798591781"}{"T2":"18.245801563"}{"M1":"0.0223241563254"}{"M2":"0.325409148609"} #-------------------- # 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 1600 0.738 1601 0.597 1602 0.838 1603 0.702 1604 0.732 1605 0.812 1606 0.833 1607 1.181 1608 1.267 1609 1.138 1610 1.214 1611 1.232 1612 1.106 1613 0.882 1614 1.09 1615 0.923 1616 1.139 1617 1.106 1618 0.8 1619 0.877 1620 0.62 1621 0.813 1622 0.942 1623 0.72 1624 0.768 1625 1.09 1626 1.225 1627 1.445 1628 1.317 1629 1.037 1630 1.253 1631 1.173 1632 1.489 1633 1.17 1634 1.263 1635 1.235 1636 0.979 1637 0.892 1638 0.959 1639 0.481 1640 0.758 1641 0.684 1642 1.066 1643 1.021 1644 0.878 1645 1.002 1646 0.927 1647 1.014 1648 0.918 1649 0.759 1650 0.731 1651 0.958 1652 0.837 1653 0.763 1654 0.885 1655 0.906 1656 1.015 1657 0.987 1658 0.761 1659 0.733 1660 0.727 1661 0.627 1662 0.79 1663 0.45 1664 0.592 1665 0.672 1666 0.923 1667 1.106 1668 0.958 1669 1.036 1670 1.085 1671 1.17 1672 0.988 1673 0.934 1674 0.79 1675 1.001 1676 0.765 1677 0.483 1678 0.64 1679 0.508 1680 0.537 1681 0.913 1682 1.355 1683 1.79 1684 1.645 1685 1.475 1686 1.479 1687 1.674 1688 1.527 1689 1.325 1690 1.231 1691 1.254 1692 1.408 1693 1.333 1694 1.308 1695 1.186 1696 0.859 1697 0.555 1698 0.439 1699 0.467 1700 0.928 1701 1.214 1702 1.101 1703 1.203 1704 0.918 1705 0.786 1706 0.591 1707 0.707 1708 0.737 1709 0.98 1710 1.011 1711 0.791 1712 1.232 1713 1.294 1714 1.072 1715 1.111 1716 0.637 1717 0.601 1718 1.018 1719 1.297 1720 1.057 1721 1.183 1722 1.229 1723 1.449 1724 1.522 1725 1.246 1726 0.916 1727 1.063 1728 1.188 1729 1.266 1730 1.069 1731 1.12 1732 1.104 1733 1.052 1734 0.756 1735 0.875 1736 0.835 1737 1.086 1738 0.936 1739 1.409 1740 1.126 1741 1.188 1742 1.057 1743 0.992 1744 0.395 1745 0.888 1746 0.651 1747 1.183 1748 1.054 1749 1.438 1750 1.291 1751 1.297 1752 0.937 1753 0.831 1754 0.555 1755 0.74 1756 0.582 1757 0.863 1758 0.946 1759 0.976 1760 1.304 1761 1.175 1762 1.488 1763 1.516 1764 1.152 1765 1.421 1766 1.221 1767 1.258 1768 0.846 1769 0.843 1770 0.767 1771 0.829 1772 1.03 1773 1.14 1774 1.327 1775 1.091 1776 1.149 1777 1.233 1778 0.844 1779 1.114 1780 1.184 1781 1.112 1782 1.075 1783 1.114 1784 1.13 1785 1.141 1786 1.037 1787 0.931 1788 0.842 1789 1.189 1790 0.823 1791 1.068 1792 1.048 1793 1.097 1794 1.047 1795 1.312 1796 0.972 1797 1.307 1798 1.122 1799 1.222 1800 0.861 1801 1.135 1802 1.103 1803 1.117 1804 1.073 1805 1.018 1806 1.137 1807 1.194 1808 1.253 1809 0.804 1810 0.707 1811 0.777 1812 1.017 1813 1.032 1814 0.832 1815 1.114 1816 1.322 1817 1.243 1818 1.305 1819 1.122 1820 1.494 1821 1.382 1822 1.473 1823 1.533 1824 1.501 1825 1.572 1826 1.297 1827 1.117 1828 1.472 1829 1.488 1830 0.952 1831 0.659 1832 1.017 1833 1.246 1834 1.243 1835 1.062 1836 0.987 1837 0.668 1838 1.291 1839 1.423 1840 1.452 1841 1.462 1842 1.045 1843 1.162 1844 1.217 1845 1.274 1846 1.137 1847 0.723 1848 0.675 1849 0.631 1850 0.678 1851 1.165 1852 1.299 1853 1.23 1854 0.739 1855 0.996 1856 0.639 1857 0.912 1858 0.855 1859 0.816 1860 0.52 1861 0.82 1862 0.724 1863 0.667 1864 0.87 1865 0.825 1866 1.102 1867 1.251 1868 1.08 1869 0.669 1870 0.917 1871 0.65 1872 0.926 1873 1.119 1874 0.945 1875 0.865 1876 0.301 1877 0.354 1878 0.514 1879 0.562 1880 0.46 1881 0.632 1882 0.586 1883 0.676 1884 1.144 1885 1.129 1886 1.012 1887 0.642 1888 0.774 1889 0.805 1890 0.711 1891 0.742 1892 1.154 1893 1.003 1894 0.439 1895 0.379 1896 0.654 1897 0.433 1898 0.686 1899 0.771 1900 0.938 1901 0.963 1902 1.024 1903 0.622 1904 0.573 1905 0.829 1906 0.911 1907 0.61 1908 0.568 1909 0.632 1910 0.515 1911 0.816 1912 0.655 1913 0.747 1914 0.954 1915 1.282 1916 1.17 1917 1.112 1918 1.214 1919 1.073 1920 1.122 1921 1.197 1922 0.914 1923 1.001 1924 1.238 1925 1.205 1926 1.297 1927 0.847 1928 0.513 1929 0.604 1930 0.962 1931 0.954 1932 1.031 1933 1.094 1934 0.929 1935 1.067 1936 0.928 1937 0.678 1938 0.564 1939 0.928 1940 0.976 1941 0.993 1942 1.41 1943 1.42 1944 0.975 1945 1.093 1946 0.979 1947 1.23 1948 1.185 1949 0.948 1950 0.99 1951 0.906 1952 0.854 1953 1.09 1954 0.871 1955 0.503 1956 0.496 1957 1.128 1958 0.845 1959 0.878 1960 1.149 1961 0.996 1962 1.094 1963 1.247 1964 1.228 1965 0.936 1966 1.307 1967 1.304 1968 1.297 1969 1.054 1970 1.094 1971 0.739 1972 0.979 1973 0.667 1974 1.162 1975 0.785 1976 0.951 1977 0.991 1978 0.739 1979 0.934 1980 0.707 1981 1.054 1982 0.913 1983 1.124 1984 1.153 1985 0.95 1986 0.907 1987 0.648 1988 0.785 1989 0.744 1990 0.645 1991 0.617