# northamerica_usa_nc4 - Kit Springs Branch Nantahala - 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_nc4 - Kit Springs Branch Nantahala - 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: Kit Springs Branch Nantahala # Location: # Country: United States # Northernmost_Latitude: 35.28 # Southernmost_Latitude: 35.28 # Easternmost_Longitude: -83.93 # Westernmost_Longitude: -83.93 # Elevation: 1300 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_nc4B # Earliest_Year: 1706 # Most_Recent_Year: 1992 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"3.65404430449"}{"T2":"17.2615174498"}{"M1":"0.0225025263132"}{"M2":"0.517154817096"} #-------------------- # Species # Species_Name: eastern hemlock # Species_Code: TSCA #-------------------- # 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 1706 0.765 1707 0.774 1708 0.667 1709 0.659 1710 0.742 1711 0.829 1712 0.82 1713 0.736 1714 0.68 1715 0.723 1716 0.928 1717 0.934 1718 0.986 1719 0.959 1720 0.946 1721 0.907 1722 1.0 1723 0.941 1724 0.88 1725 1.05 1726 0.942 1727 0.865 1728 0.708 1729 0.988 1730 0.898 1731 0.891 1732 0.95 1733 0.949 1734 1.053 1735 0.949 1736 1.028 1737 1.129 1738 0.888 1739 0.937 1740 0.97 1741 0.952 1742 1.154 1743 1.068 1744 1.119 1745 1.268 1746 1.089 1747 1.23 1748 0.978 1749 1.187 1750 1.249 1751 1.159 1752 1.146 1753 1.116 1754 0.984 1755 0.903 1756 0.935 1757 0.876 1758 1.02 1759 1.146 1760 1.21 1761 1.149 1762 1.306 1763 1.067 1764 1.047 1765 1.09 1766 1.096 1767 0.944 1768 1.019 1769 1.044 1770 0.906 1771 1.112 1772 1.154 1773 1.31 1774 1.41 1775 1.116 1776 1.375 1777 1.259 1778 1.084 1779 1.014 1780 1.062 1781 0.996 1782 0.812 1783 0.9 1784 0.799 1785 0.801 1786 0.959 1787 0.929 1788 0.931 1789 0.984 1790 0.87 1791 0.725 1792 0.811 1793 0.972 1794 1.001 1795 0.933 1796 1.008 1797 0.86 1798 0.891 1799 0.856 1800 0.873 1801 0.77 1802 0.672 1803 0.812 1804 0.93 1805 0.929 1806 1.002 1807 0.926 1808 0.921 1809 0.815 1810 1.029 1811 0.973 1812 1.046 1813 0.916 1814 1.049 1815 1.11 1816 1.176 1817 1.126 1818 1.268 1819 0.813 1820 0.856 1821 0.87 1822 0.898 1823 0.956 1824 0.894 1825 0.95 1826 0.921 1827 0.965 1828 0.969 1829 1.125 1830 0.907 1831 1.04 1832 1.189 1833 1.188 1834 1.194 1835 1.133 1836 1.336 1837 1.274 1838 1.229 1839 0.945 1840 1.08 1841 1.274 1842 1.125 1843 1.128 1844 0.91 1845 0.955 1846 1.083 1847 1.198 1848 1.261 1849 1.192 1850 1.116 1851 0.971 1852 0.905 1853 1.19 1854 1.059 1855 0.777 1856 0.817 1857 0.832 1858 1.03 1859 1.077 1860 1.069 1861 0.956 1862 1.207 1863 0.999 1864 0.945 1865 0.827 1866 0.68 1867 0.792 1868 0.793 1869 0.918 1870 1.006 1871 1.124 1872 1.047 1873 0.956 1874 0.888 1875 0.868 1876 0.879 1877 0.841 1878 0.843 1879 0.849 1880 0.854 1881 1.019 1882 0.881 1883 1.118 1884 1.012 1885 0.956 1886 0.738 1887 0.771 1888 0.748 1889 0.967 1890 0.934 1891 0.651 1892 0.677 1893 0.716 1894 0.817 1895 0.71 1896 0.857 1897 1.006 1898 0.804 1899 0.827 1900 0.959 1901 0.891 1902 0.604 1903 0.846 1904 0.816 1905 0.834 1906 0.769 1907 0.567 1908 0.685 1909 0.891 1910 0.833 1911 1.04 1912 0.824 1913 1.262 1914 1.047 1915 0.985 1916 1.244 1917 1.051 1918 0.828 1919 1.092 1920 1.06 1921 1.074 1922 0.842 1923 1.281 1924 1.034 1925 0.993 1926 0.718 1927 0.932 1928 1.176 1929 1.343 1930 1.084 1931 0.881 1932 1.107 1933 1.106 1934 1.071 1935 1.046 1936 1.014 1937 0.751 1938 0.972 1939 1.096 1940 1.12 1941 1.109 1942 0.968 1943 1.251 1944 0.962 1945 1.167 1946 1.18 1947 1.327 1948 1.095 1949 1.257 1950 1.031 1951 1.17 1952 0.838 1953 0.96 1954 0.857 1955 0.825 1956 1.22 1957 1.133 1958 1.141 1959 1.082 1960 0.883 1961 1.122 1962 1.16 1963 1.084 1964 1.183 1965 0.785 1966 1.018 1967 0.684 1968 0.919 1969 0.7 1970 0.828 1971 0.755 1972 0.759 1973 1.044 1974 0.954 1975 1.175 1976 0.918 1977 0.739 1978 0.649 1979 0.737 1980 0.824 1981 0.708 1982 0.758 1983 0.857 1984 1.054 1985 1.101 1986 0.912 1987 0.892 1988 0.992 1989 0.851 1990 1.115 1991 1.38 1992 1.285