# europe_fran036 - Vallee du Tronchet - 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: europe_fran036 - Vallee du Tronchet - 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: Vallee du Tronchet # Location: # Country: France # Northernmost_Latitude: 44.63 # Southernmost_Latitude: 44.63 # Easternmost_Longitude: 6.83 # Westernmost_Longitude: 6.83 # Elevation: 2350 m #-------------------- # Data_Collection # Collection_Name: europe_fran036B # Earliest_Year: 1655 # Most_Recent_Year: 2000 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.2700690165"}{"T2":"17.8883231161"}{"M1":"0.0225733559589"}{"M2":"0.394965736585"} #-------------------- # Species # Species_Name: Swiss stone pine # Species_Code: PICE #-------------------- # 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 1655 1.049 1656 1.025 1657 0.893 1658 0.909 1659 0.907 1660 0.758 1661 1.027 1662 0.998 1663 1.138 1664 1.147 1665 1.101 1666 1.192 1667 1.041 1668 1.291 1669 1.159 1670 1.222 1671 1.108 1672 1.069 1673 1.078 1674 1.142 1675 1.176 1676 1.038 1677 1.153 1678 1.161 1679 1.255 1680 1.261 1681 1.062 1682 1.245 1683 1.124 1684 1.255 1685 1.269 1686 1.219 1687 1.158 1688 1.222 1689 1.257 1690 1.129 1691 1.336 1692 1.452 1693 1.421 1694 1.264 1695 1.336 1696 1.152 1697 0.952 1698 0.993 1699 1.105 1700 1.034 1701 0.889 1702 1.044 1703 1.036 1704 0.844 1705 0.961 1706 1.078 1707 0.88 1708 0.874 1709 0.79 1710 0.802 1711 0.887 1712 0.886 1713 0.736 1714 0.802 1715 0.78 1716 0.789 1717 0.75 1718 0.821 1719 0.775 1720 0.695 1721 0.491 1722 0.568 1723 0.545 1724 0.731 1725 0.731 1726 0.626 1727 0.711 1728 0.595 1729 0.746 1730 0.708 1731 0.696 1732 0.595 1733 0.664 1734 0.747 1735 0.866 1736 0.922 1737 1.008 1738 0.921 1739 0.844 1740 0.988 1741 1.073 1742 1.084 1743 1.06 1744 0.835 1745 0.922 1746 0.736 1747 0.947 1748 0.937 1749 1.032 1750 0.877 1751 0.775 1752 0.96 1753 0.993 1754 1.034 1755 0.839 1756 0.899 1757 0.785 1758 0.713 1759 0.723 1760 0.775 1761 0.81 1762 0.917 1763 0.871 1764 0.764 1765 0.943 1766 0.864 1767 0.78 1768 0.937 1769 1.021 1770 0.914 1771 1.017 1772 0.815 1773 0.889 1774 0.877 1775 1.074 1776 0.94 1777 0.963 1778 0.875 1779 0.86 1780 0.91 1781 1.08 1782 1.049 1783 1.046 1784 1.041 1785 1.158 1786 1.088 1787 1.017 1788 0.946 1789 1.018 1790 1.082 1791 0.816 1792 0.887 1793 0.876 1794 0.997 1795 1.067 1796 0.888 1797 0.982 1798 1.094 1799 1.021 1800 1.126 1801 1.336 1802 1.14 1803 1.233 1804 1.219 1805 1.222 1806 1.062 1807 0.773 1808 0.587 1809 0.87 1810 0.659 1811 0.72 1812 0.931 1813 0.884 1814 0.624 1815 0.733 1816 0.764 1817 0.695 1818 0.615 1819 0.664 1820 0.404 1821 0.386 1822 0.52 1823 0.526 1824 0.632 1825 0.78 1826 0.874 1827 0.82 1828 0.81 1829 0.647 1830 0.945 1831 0.78 1832 0.747 1833 0.664 1834 0.779 1835 0.657 1836 0.703 1837 0.657 1838 0.591 1839 0.614 1840 0.602 1841 0.635 1842 0.47 1843 0.635 1844 0.628 1845 0.634 1846 0.836 1847 0.749 1848 0.682 1849 0.683 1850 0.718 1851 0.738 1852 0.677 1853 0.707 1854 0.683 1855 0.717 1856 0.776 1857 0.831 1858 0.96 1859 0.814 1860 0.966 1861 0.885 1862 0.845 1863 0.935 1864 1.041 1865 1.088 1866 1.049 1867 1.116 1868 1.057 1869 1.271 1870 1.45 1871 1.389 1872 1.239 1873 1.171 1874 1.083 1875 1.195 1876 1.192 1877 1.159 1878 0.94 1879 0.944 1880 0.97 1881 0.922 1882 0.973 1883 0.947 1884 0.994 1885 0.956 1886 0.913 1887 0.832 1888 0.954 1889 0.97 1890 1.125 1891 1.091 1892 1.107 1893 1.119 1894 1.171 1895 1.24 1896 1.125 1897 1.102 1898 1.18 1899 1.319 1900 1.26 1901 1.343 1902 1.289 1903 1.448 1904 1.456 1905 1.575 1906 1.319 1907 1.322 1908 1.295 1909 1.178 1910 1.174 1911 1.042 1912 1.227 1913 1.246 1914 1.024 1915 1.077 1916 1.091 1917 0.987 1918 1.023 1919 0.968 1920 0.925 1921 0.761 1922 1.063 1923 0.877 1924 0.985 1925 1.134 1926 0.942 1927 1.076 1928 1.251 1929 1.362 1930 1.19 1931 1.142 1932 1.165 1933 1.186 1934 0.948 1935 0.965 1936 1.026 1937 0.947 1938 0.954 1939 1.058 1940 1.005 1941 0.872 1942 1.035 1943 1.114 1944 1.327 1945 1.216 1946 1.189 1947 1.378 1948 1.386 1949 1.151 1950 1.283 1951 1.261 1952 1.376 1953 1.269 1954 1.214 1955 1.154 1956 1.231 1957 1.196 1958 1.106 1959 1.258 1960 1.134 1961 0.938 1962 0.894 1963 0.901 1964 0.936 1965 0.843 1966 0.805 1967 0.877 1968 0.982 1969 1.12 1970 1.087 1971 0.939 1972 0.99 1973 0.873 1974 0.849 1975 0.732 1976 0.677 1977 0.749 1978 0.584 1979 0.651 1980 0.662 1981 0.736 1982 0.747 1983 0.79 1984 0.72 1985 0.721 1986 0.757 1987 0.743 1988 0.776 1989 0.617 1990 0.666 1991 0.698 1992 0.742 1993 0.901 1994 1.093 1995 1.198 1996 1.042 1997 0.933 1998 0.882 1999 1.114 2000 1.021