# northamerica_usa_wa065 - Enchantment Lakes - 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_wa065 - Enchantment Lakes - 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: Enchantment Lakes # Location: # Country: United States # Northernmost_Latitude: 47.5 # Southernmost_Latitude: 47.5 # Easternmost_Longitude: -120.8 # Westernmost_Longitude: -120.8 # Elevation: 2164 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wa065B # Earliest_Year: 1600 # Most_Recent_Year: 1982 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.85608854311"}{"T2":"19.7240802295"}{"M1":"0.0225320302873"}{"M2":"0.35020517879"} #-------------------- # Species # Species_Name: subalpine larch # Species_Code: LALY #-------------------- # 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 1.014 1601 0.629 1602 0.763 1603 1.404 1604 1.053 1605 0.959 1606 0.822 1607 1.505 1608 1.184 1609 0.982 1610 1.166 1611 0.954 1612 0.762 1613 0.876 1614 0.982 1615 0.862 1616 0.809 1617 0.741 1618 1.182 1619 1.201 1620 0.983 1621 0.939 1622 0.824 1623 1.04 1624 0.893 1625 0.82 1626 0.813 1627 0.858 1628 0.874 1629 0.815 1630 0.896 1631 0.828 1632 0.653 1633 1.213 1634 0.749 1635 1.027 1636 1.044 1637 0.89 1638 0.812 1639 1.107 1640 1.021 1641 0.938 1642 1.125 1643 0.778 1644 0.959 1645 0.918 1646 0.989 1647 1.006 1648 1.334 1649 1.051 1650 0.712 1651 0.866 1652 0.91 1653 0.793 1654 0.656 1655 0.994 1656 1.188 1657 0.711 1658 1.073 1659 1.338 1660 1.489 1661 1.388 1662 1.327 1663 0.967 1664 0.962 1665 1.562 1666 1.097 1667 0.876 1668 0.899 1669 0.945 1670 0.523 1671 0.7 1672 0.897 1673 0.943 1674 1.076 1675 1.135 1676 0.993 1677 1.383 1678 1.349 1679 1.215 1680 1.333 1681 0.961 1682 1.407 1683 1.261 1684 1.053 1685 1.332 1686 0.795 1687 1.44 1688 1.453 1689 1.647 1690 1.169 1691 1.413 1692 1.61 1693 0.993 1694 0.575 1695 0.869 1696 0.779 1697 0.656 1698 1.366 1699 0.522 1700 1.196 1701 0.905 1702 0.84 1703 0.787 1704 0.438 1705 1.234 1706 0.569 1707 0.623 1708 0.973 1709 0.74 1710 0.903 1711 1.051 1712 0.439 1713 0.224 1714 1.233 1715 0.468 1716 0.799 1717 1.073 1718 0.866 1719 1.041 1720 0.564 1721 0.863 1722 1.019 1723 1.001 1724 1.118 1725 1.358 1726 1.261 1727 1.154 1728 0.999 1729 1.403 1730 1.347 1731 0.979 1732 1.02 1733 0.957 1734 1.398 1735 0.738 1736 0.589 1737 0.771 1738 0.907 1739 1.094 1740 1.271 1741 1.337 1742 0.836 1743 0.983 1744 0.896 1745 0.962 1746 0.869 1747 1.369 1748 0.744 1749 1.039 1750 0.304 1751 0.609 1752 0.454 1753 1.138 1754 1.251 1755 0.721 1756 1.34 1757 1.057 1758 0.818 1759 1.022 1760 0.87 1761 0.952 1762 0.631 1763 0.927 1764 1.024 1765 0.889 1766 0.909 1767 1.315 1768 1.226 1769 0.93 1770 1.08 1771 1.474 1772 0.964 1773 1.132 1774 1.549 1775 1.158 1776 1.023 1777 1.305 1778 1.17 1779 1.068 1780 1.133 1781 1.192 1782 0.801 1783 1.28 1784 0.945 1785 1.02 1786 1.437 1787 1.242 1788 1.191 1789 0.835 1790 1.429 1791 0.739 1792 0.908 1793 0.272 1794 1.252 1795 1.276 1796 1.155 1797 1.242 1798 1.795 1799 0.973 1800 0.758 1801 0.849 1802 1.257 1803 0.962 1804 1.409 1805 1.005 1806 1.142 1807 1.52 1808 1.215 1809 1.0 1810 1.098 1811 1.287 1812 1.246 1813 0.806 1814 0.874 1815 0.673 1816 0.531 1817 1.389 1818 0.773 1819 0.908 1820 0.991 1821 0.559 1822 0.829 1823 1.02 1824 0.27 1825 1.468 1826 1.376 1827 1.082 1828 0.761 1829 1.078 1830 1.274 1831 1.169 1832 0.343 1833 1.183 1834 1.336 1835 1.243 1836 0.841 1837 0.853 1838 0.503 1839 0.936 1840 0.908 1841 0.685 1842 0.602 1843 0.589 1844 0.568 1845 0.698 1846 0.919 1847 0.735 1848 1.014 1849 0.703 1850 1.151 1851 1.453 1852 1.22 1853 1.004 1854 0.412 1855 1.051 1856 0.552 1857 0.786 1858 0.896 1859 1.382 1860 1.124 1861 1.046 1862 0.693 1863 1.042 1864 0.263 1865 0.857 1866 0.832 1867 0.43 1868 0.917 1869 1.176 1870 0.948 1871 1.357 1872 1.368 1873 1.128 1874 1.02 1875 0.922 1876 1.018 1877 0.661 1878 0.946 1879 0.423 1880 0.757 1881 0.509 1882 0.735 1883 0.909 1884 0.608 1885 0.205 1886 1.087 1887 1.012 1888 0.704 1889 0.886 1890 0.909 1891 0.869 1892 1.143 1893 0.789 1894 1.014 1895 0.959 1896 1.06 1897 0.469 1898 0.766 1899 0.698 1900 0.552 1901 0.874 1902 0.887 1903 1.133 1904 1.269 1905 0.912 1906 0.859 1907 1.037 1908 1.239 1909 0.853 1910 0.907 1911 1.022 1912 0.899 1913 0.827 1914 1.051 1915 0.635 1916 0.595 1917 1.067 1918 1.1 1919 1.183 1920 0.904 1921 0.892 1922 1.436 1923 0.806 1924 0.884 1925 0.98 1926 0.749 1927 0.821 1928 1.035 1929 0.963 1930 0.738 1931 0.961 1932 0.974 1933 1.242 1934 0.943 1935 0.902 1936 1.181 1937 1.33 1938 1.683 1939 0.806 1940 1.877 1941 1.733 1942 1.341 1943 1.285 1944 1.413 1945 1.626 1946 0.682 1947 1.109 1948 1.484 1949 0.914 1950 1.24 1951 1.132 1952 1.01 1953 0.904 1954 0.902 1955 0.942 1956 0.638 1957 1.395 1958 1.484 1959 0.665 1960 1.137 1961 1.495 1962 1.011 1963 1.289 1964 1.004 1965 1.026 1966 0.675 1967 1.17 1968 0.841 1969 1.019 1970 1.282 1971 0.785 1972 0.953 1973 1.114 1974 0.697 1975 1.213 1976 0.831 1977 0.894 1978 0.828 1979 0.821 1980 0.531 1981 1.101 1982 0.783