# europe_ital023 - Fodara Vedla Alm - 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_ital023 - Fodara Vedla Alm - 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: Fodara Vedla Alm # Location: # Country: Italy # Northernmost_Latitude: 46.63 # Southernmost_Latitude: 46.63 # Easternmost_Longitude: 12.1 # Westernmost_Longitude: 12.1 # Elevation: 1970 m #-------------------- # Data_Collection # Collection_Name: europe_ital023B # Earliest_Year: 1600 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"4.33948251052"}{"T2":"17.1682230979"}{"M1":"0.0225561096033"}{"M2":"0.413587850259"} #-------------------- # 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 1600 1.023 1601 0.893 1602 0.817 1603 1.062 1604 1.208 1605 1.031 1606 0.919 1607 0.918 1608 1.0 1609 0.868 1610 0.928 1611 1.038 1612 0.935 1613 0.881 1614 1.033 1615 1.125 1616 1.233 1617 1.196 1618 1.042 1619 1.023 1620 1.066 1621 1.071 1622 1.056 1623 0.946 1624 1.055 1625 1.003 1626 1.046 1627 1.129 1628 0.738 1629 0.932 1630 0.686 1631 0.773 1632 0.688 1633 0.737 1634 0.857 1635 0.887 1636 0.863 1637 0.849 1638 1.067 1639 0.829 1640 1.154 1641 1.118 1642 1.082 1643 1.153 1644 1.068 1645 1.025 1646 1.185 1647 1.006 1648 1.055 1649 0.947 1650 0.906 1651 0.867 1652 0.884 1653 0.884 1654 0.935 1655 1.01 1656 1.061 1657 0.926 1658 0.939 1659 1.137 1660 1.139 1661 1.064 1662 1.221 1663 0.985 1664 1.008 1665 0.965 1666 1.015 1667 0.974 1668 0.769 1669 0.854 1670 0.955 1671 1.011 1672 0.974 1673 1.026 1674 0.932 1675 0.462 1676 0.647 1677 0.478 1678 0.541 1679 0.734 1680 0.701 1681 1.002 1682 0.986 1683 1.154 1684 1.441 1685 1.183 1686 1.389 1687 1.489 1688 1.292 1689 1.245 1690 1.267 1691 1.101 1692 1.075 1693 0.971 1694 0.977 1695 0.915 1696 0.748 1697 0.882 1698 0.856 1699 0.736 1700 0.844 1701 0.828 1702 0.83 1703 0.974 1704 1.0 1705 1.057 1706 1.197 1707 1.148 1708 1.077 1709 1.051 1710 1.258 1711 1.281 1712 1.209 1713 1.128 1714 0.936 1715 0.977 1716 0.759 1717 0.559 1718 0.622 1719 0.754 1720 0.941 1721 0.843 1722 0.869 1723 0.852 1724 0.998 1725 0.942 1726 1.106 1727 1.097 1728 1.135 1729 1.105 1730 1.144 1731 1.114 1732 1.039 1733 1.188 1734 1.289 1735 1.2 1736 1.162 1737 1.192 1738 1.232 1739 1.292 1740 1.173 1741 0.792 1742 1.004 1743 0.794 1744 0.777 1745 0.848 1746 0.916 1747 0.897 1748 1.156 1749 1.075 1750 0.886 1751 1.078 1752 1.078 1753 0.971 1754 1.111 1755 1.12 1756 1.129 1757 1.232 1758 0.985 1759 0.927 1760 0.991 1761 0.949 1762 0.903 1763 1.054 1764 1.028 1765 0.849 1766 0.971 1767 1.049 1768 0.934 1769 1.014 1770 0.85 1771 0.918 1772 0.852 1773 0.846 1774 0.938 1775 1.057 1776 1.003 1777 0.854 1778 1.062 1779 0.722 1780 1.055 1781 1.056 1782 1.069 1783 1.038 1784 1.276 1785 1.074 1786 1.046 1787 0.998 1788 1.129 1789 1.06 1790 0.966 1791 0.973 1792 0.807 1793 0.764 1794 0.951 1795 0.865 1796 1.027 1797 1.101 1798 1.239 1799 0.997 1800 0.982 1801 0.845 1802 1.13 1803 1.046 1804 1.031 1805 0.886 1806 0.825 1807 1.16 1808 1.056 1809 0.701 1810 0.727 1811 0.961 1812 1.048 1813 0.703 1814 0.899 1815 0.676 1816 0.703 1817 0.652 1818 0.555 1819 0.532 1820 0.524 1821 0.522 1822 0.931 1823 1.272 1824 1.08 1825 1.196 1826 0.92 1827 1.036 1828 0.992 1829 1.16 1830 1.033 1831 0.982 1832 0.806 1833 0.856 1834 0.885 1835 0.963 1836 0.661 1837 0.888 1838 0.836 1839 0.972 1840 1.182 1841 1.141 1842 1.335 1843 0.877 1844 1.134 1845 1.198 1846 1.177 1847 1.357 1848 1.235 1849 1.044 1850 1.013 1851 0.946 1852 0.851 1853 0.968 1854 0.693 1855 0.709 1856 0.852 1857 0.949 1858 0.901 1859 0.955 1860 1.102 1861 1.084 1862 1.022 1863 1.112 1864 1.336 1865 1.199 1866 1.351 1867 1.315 1868 1.258 1869 1.319 1870 1.231 1871 1.054 1872 1.137 1873 1.199 1874 1.197 1875 1.234 1876 1.141 1877 1.028 1878 0.919 1879 0.974 1880 1.008 1881 1.371 1882 0.979 1883 1.057 1884 1.015 1885 1.099 1886 0.836 1887 1.037 1888 1.074 1889 1.154 1890 0.953 1891 0.886 1892 1.018 1893 1.041 1894 1.069 1895 1.1 1896 0.957 1897 1.163 1898 1.136 1899 0.96 1900 0.946 1901 1.102 1902 0.815 1903 0.903 1904 1.127 1905 0.938 1906 0.9 1907 0.897 1908 0.991 1909 0.805 1910 1.051 1911 1.113 1912 1.104 1913 0.751 1914 0.966 1915 0.976 1916 0.856 1917 1.133 1918 0.762 1919 0.849 1920 0.819 1921 1.045 1922 0.892 1923 0.996 1924 1.125 1925 0.956 1926 0.697 1927 0.961 1928 1.052 1929 0.94 1930 0.873 1931 1.049 1932 0.991 1933 0.699 1934 0.897 1935 0.891 1936 0.993 1937 0.873 1938 0.824 1939 0.882 1940 0.73 1941 0.799 1942 0.786 1943 0.924 1944 1.026 1945 0.857 1946 1.004 1947 1.246 1948 0.774 1949 1.129 1950 1.234 1951 1.283 1952 1.079 1953 0.914 1954 0.99 1955 0.956 1956 1.025 1957 0.838 1958 1.189 1959 0.944 1960 0.939 1961 0.889 1962 1.161 1963 1.005 1964 0.989 1965 0.891 1966 1.026 1967 1.048 1968 1.049 1969 1.222 1970 1.172 1971 1.123 1972 0.906 1973 0.969 1974 0.984 1975 0.814 1976 0.766 1977 0.906 1978 0.733 1979 0.872 1980 0.78 1981 0.713 1982 0.95 1983 0.978 1984 0.766 1985 0.878 1986 0.867 1987 0.897 1988 0.851 1989 0.653 1990 0.751