# northamerica_usa_pa008 - Longfellow Trail - 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_pa008 - Longfellow Trail - 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: Longfellow Trail # Location: # Country: United States # Northernmost_Latitude: 41.33 # Southernmost_Latitude: 41.33 # Easternmost_Longitude: -79.2 # Westernmost_Longitude: -79.2 # Elevation: 400 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_pa008B # Earliest_Year: 1692 # Most_Recent_Year: 1981 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"4.7963518712"}{"T2":"13.9687793375"}{"M1":"0.0220796181273"}{"M2":"0.327373653436"} #-------------------- # Species # Species_Name: eastern white pine # Species_Code: PIST #-------------------- # 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 1692 1.226 1693 0.776 1694 1.176 1695 0.987 1696 0.974 1697 0.862 1698 0.885 1699 0.832 1700 1.025 1701 0.945 1702 0.754 1703 0.897 1704 0.881 1705 1.164 1706 1.278 1707 1.133 1708 0.737 1709 0.852 1710 0.861 1711 1.048 1712 1.297 1713 1.423 1714 1.198 1715 1.126 1716 1.095 1717 1.011 1718 1.008 1719 1.162 1720 1.077 1721 0.967 1722 1.017 1723 0.962 1724 1.017 1725 0.867 1726 0.799 1727 0.87 1728 0.94 1729 1.145 1730 1.047 1731 1.166 1732 1.056 1733 0.949 1734 1.15 1735 0.928 1736 0.906 1737 0.957 1738 1.044 1739 1.231 1740 1.082 1741 0.823 1742 0.769 1743 0.694 1744 0.912 1745 1.208 1746 0.813 1747 1.178 1748 0.849 1749 1.044 1750 1.054 1751 0.877 1752 0.822 1753 0.923 1754 1.025 1755 0.588 1756 1.012 1757 0.705 1758 0.888 1759 0.884 1760 0.921 1761 1.109 1762 0.841 1763 1.004 1764 1.112 1765 1.294 1766 0.937 1767 0.843 1768 1.022 1769 0.929 1770 0.982 1771 1.079 1772 0.811 1773 0.896 1774 1.037 1775 0.871 1776 0.933 1777 0.963 1778 0.922 1779 0.978 1780 0.8 1781 1.011 1782 0.933 1783 1.029 1784 1.052 1785 0.878 1786 1.102 1787 1.061 1788 0.985 1789 0.752 1790 0.767 1791 0.889 1792 0.876 1793 1.08 1794 1.171 1795 1.067 1796 1.078 1797 1.081 1798 0.942 1799 0.883 1800 1.027 1801 1.207 1802 1.117 1803 0.848 1804 0.923 1805 0.825 1806 0.85 1807 0.915 1808 0.829 1809 1.029 1810 1.298 1811 1.07 1812 1.047 1813 0.883 1814 0.921 1815 0.826 1816 0.893 1817 0.979 1818 0.651 1819 0.939 1820 0.87 1821 0.987 1822 0.806 1823 0.766 1824 0.783 1825 0.762 1826 0.734 1827 1.005 1828 1.116 1829 0.995 1830 1.281 1831 1.115 1832 1.058 1833 1.161 1834 1.133 1835 0.968 1836 0.859 1837 0.892 1838 0.758 1839 0.662 1840 0.687 1841 0.706 1842 0.959 1843 0.797 1844 1.077 1845 0.87 1846 0.986 1847 0.873 1848 0.948 1849 0.832 1850 1.192 1851 1.329 1852 1.034 1853 0.949 1854 0.909 1855 1.211 1856 0.761 1857 1.101 1858 1.058 1859 1.311 1860 1.128 1861 0.855 1862 0.889 1863 0.92 1864 0.784 1865 0.994 1866 0.876 1867 0.974 1868 0.957 1869 1.123 1870 0.908 1871 1.008 1872 1.235 1873 1.088 1874 0.974 1875 1.028 1876 0.836 1877 0.802 1878 1.177 1879 1.169 1880 1.114 1881 1.013 1882 1.153 1883 1.174 1884 1.41 1885 1.25 1886 1.283 1887 0.995 1888 1.414 1889 1.325 1890 1.035 1891 0.879 1892 1.099 1893 1.31 1894 1.244 1895 1.329 1896 1.498 1897 1.438 1898 1.574 1899 1.564 1900 1.317 1901 1.29 1902 1.598 1903 1.397 1904 0.821 1905 1.165 1906 1.069 1907 0.772 1908 0.832 1909 0.818 1910 0.83 1911 0.842 1912 1.042 1913 1.087 1914 0.903 1915 1.16 1916 0.67 1917 0.661 1918 0.607 1919 0.592 1920 0.501 1921 0.78 1922 0.791 1923 0.809 1924 1.101 1925 1.178 1926 0.966 1927 0.948 1928 0.794 1929 0.988 1930 0.862 1931 1.067 1932 1.117 1933 1.079 1934 0.925 1935 1.181 1936 1.079 1937 1.167 1938 0.93 1939 0.779 1940 0.88 1941 0.905 1942 1.138 1943 0.613 1944 0.659 1945 0.936 1946 0.75 1947 0.805 1948 0.819 1949 0.901 1950 1.011 1951 0.808 1952 0.62 1953 0.871 1954 0.97 1955 1.011 1956 0.985 1957 1.072 1958 0.799 1959 0.585 1960 0.671 1961 0.88 1962 0.766 1963 1.006 1964 0.997 1965 0.802 1966 0.628 1967 0.701 1968 0.746 1969 0.673 1970 0.585 1971 0.639 1972 0.659 1973 0.804 1974 1.098 1975 1.374 1976 1.629 1977 1.698 1978 1.145 1979 1.078 1980 1.292 1981 1.18