# northamerica_usa_ky003 - Lilley Cornett Tract - 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_ky003 - Lilley Cornett Tract - 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: Lilley Cornett Tract # Location: # Country: United States # Northernmost_Latitude: 37.08 # Southernmost_Latitude: 37.08 # Easternmost_Longitude: -83.0 # Westernmost_Longitude: -83.0 # Elevation: 500 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ky003B # Earliest_Year: 1685 # Most_Recent_Year: 1982 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.77795989945"}{"T2":"16.8663676039"}{"M1":"0.0226936948959"}{"M2":"0.597175325788"} #-------------------- # Species # Species_Name: white oak # Species_Code: QUAL #-------------------- # 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 1685 1.205 1686 1.083 1687 1.052 1688 1.043 1689 0.777 1690 0.815 1691 0.88 1692 0.997 1693 0.729 1694 1.03 1695 1.044 1696 0.862 1697 0.878 1698 0.788 1699 0.647 1700 0.642 1701 0.794 1702 0.756 1703 0.767 1704 0.853 1705 0.87 1706 1.035 1707 0.98 1708 0.678 1709 0.863 1710 0.908 1711 0.975 1712 0.873 1713 0.976 1714 0.949 1715 0.637 1716 0.697 1717 0.961 1718 0.621 1719 0.565 1720 0.667 1721 0.682 1722 1.055 1723 0.74 1724 0.694 1725 1.049 1726 0.935 1727 0.84 1728 0.849 1729 1.013 1730 0.735 1731 0.802 1732 0.609 1733 0.78 1734 0.673 1735 0.527 1736 0.309 1737 0.437 1738 0.635 1739 0.882 1740 0.908 1741 1.169 1742 1.207 1743 0.767 1744 0.98 1745 1.479 1746 0.695 1747 0.956 1748 0.503 1749 0.695 1750 0.771 1751 0.811 1752 0.765 1753 0.728 1754 1.017 1755 0.594 1756 1.215 1757 0.913 1758 1.28 1759 1.237 1760 0.764 1761 0.842 1762 0.842 1763 0.92 1764 0.858 1765 0.727 1766 0.662 1767 0.689 1768 1.449 1769 1.137 1770 1.033 1771 1.267 1772 1.069 1773 0.768 1774 0.48 1775 0.963 1776 1.06 1777 1.091 1778 1.058 1779 1.132 1780 1.426 1781 1.474 1782 1.308 1783 1.368 1784 1.163 1785 0.907 1786 1.461 1787 1.259 1788 1.322 1789 1.227 1790 1.165 1791 1.114 1792 1.139 1793 1.635 1794 1.663 1795 1.145 1796 1.401 1797 1.0 1798 1.148 1799 1.067 1800 1.544 1801 1.638 1802 0.989 1803 0.935 1804 0.893 1805 0.762 1806 0.61 1807 0.668 1808 1.035 1809 1.276 1810 0.854 1811 1.158 1812 1.035 1813 0.871 1814 1.082 1815 1.132 1816 0.774 1817 1.229 1818 1.003 1819 0.739 1820 1.214 1821 0.714 1822 0.86 1823 0.927 1824 0.911 1825 0.712 1826 0.718 1827 1.071 1828 1.077 1829 1.006 1830 1.24 1831 1.107 1832 0.821 1833 0.885 1834 0.668 1835 0.836 1836 0.888 1837 0.969 1838 0.85 1839 0.508 1840 0.964 1841 0.808 1842 0.73 1843 0.84 1844 0.885 1845 0.941 1846 1.035 1847 1.011 1848 0.894 1849 1.345 1850 1.028 1851 1.092 1852 1.288 1853 0.794 1854 1.254 1855 1.216 1856 0.915 1857 0.861 1858 0.796 1859 0.781 1860 0.933 1861 0.84 1862 0.848 1863 0.947 1864 0.953 1865 0.846 1866 0.998 1867 0.933 1868 0.877 1869 1.145 1870 0.992 1871 0.934 1872 1.181 1873 1.088 1874 0.867 1875 1.626 1876 1.033 1877 0.985 1878 0.933 1879 0.711 1880 0.803 1881 0.908 1882 1.206 1883 1.31 1884 1.288 1885 0.968 1886 1.26 1887 0.994 1888 0.654 1889 1.088 1890 0.969 1891 1.085 1892 1.313 1893 0.986 1894 0.904 1895 0.963 1896 0.942 1897 1.294 1898 1.029 1899 1.04 1900 0.661 1901 1.196 1902 1.301 1903 0.962 1904 1.127 1905 0.91 1906 0.961 1907 1.301 1908 1.095 1909 1.47 1910 1.44 1911 0.802 1912 1.16 1913 1.106 1914 0.852 1915 1.396 1916 1.145 1917 1.12 1918 0.86 1919 1.079 1920 1.04 1921 0.898 1922 1.213 1923 1.147 1924 1.273 1925 1.02 1926 0.98 1927 1.181 1928 1.357 1929 1.145 1930 0.994 1931 0.843 1932 0.957 1933 0.841 1934 0.801 1935 1.204 1936 0.747 1937 1.085 1938 1.243 1939 1.181 1940 0.928 1941 0.755 1942 0.806 1943 0.935 1944 0.836 1945 1.091 1946 1.088 1947 1.172 1948 0.852 1949 0.858 1950 1.132 1951 1.48 1952 1.126 1953 1.035 1954 0.934 1955 0.844 1956 1.094 1957 0.82 1958 1.087 1959 0.786 1960 0.9 1961 0.87 1962 1.059 1963 0.879 1964 0.852 1965 0.896 1966 0.764 1967 0.836 1968 0.74 1969 0.874 1970 0.79 1971 0.993 1972 0.746 1973 0.984 1974 1.021 1975 0.937 1976 0.848 1977 0.933 1978 0.855 1979 1.0 1980 0.816 1981 0.854 1982 0.933