# europe_finl060 - Morgammaras - 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_finl060 - Morgammaras - 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: Morgammaras # Location: # Country: Finland # Northernmost_Latitude: 68.67 # Southernmost_Latitude: 68.67 # Easternmost_Longitude: 25.87 # Westernmost_Longitude: 25.87 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: europe_finl060B # Earliest_Year: 1617 # Most_Recent_Year: 1983 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.7568203523"}{"T2":"20.044875629"}{"M1":"0.0224545002957"}{"M2":"0.260278876736"} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1617 0.785 1618 0.84 1619 0.879 1620 0.723 1621 1.081 1622 0.849 1623 1.122 1624 1.061 1625 0.969 1626 1.141 1627 0.961 1628 1.211 1629 1.245 1630 0.817 1631 0.956 1632 1.091 1633 0.731 1634 0.941 1635 0.842 1636 0.969 1637 1.233 1638 1.049 1639 0.894 1640 1.116 1641 0.779 1642 0.683 1643 0.934 1644 0.724 1645 0.797 1646 0.939 1647 0.947 1648 1.206 1649 1.163 1650 0.964 1651 1.08 1652 1.099 1653 1.194 1654 1.149 1655 1.518 1656 1.295 1657 1.288 1658 1.304 1659 1.195 1660 1.474 1661 1.127 1662 1.238 1663 1.155 1664 1.181 1665 1.051 1666 0.821 1667 0.816 1668 1.047 1669 0.904 1670 0.839 1671 1.115 1672 0.99 1673 1.122 1674 0.925 1675 0.726 1676 0.679 1677 0.863 1678 0.811 1679 0.904 1680 0.382 1681 0.71 1682 1.015 1683 0.946 1684 1.122 1685 1.304 1686 1.497 1687 1.256 1688 0.961 1689 1.247 1690 1.342 1691 1.447 1692 1.307 1693 1.398 1694 1.403 1695 0.885 1696 0.653 1697 0.856 1698 0.958 1699 0.805 1700 0.899 1701 1.032 1702 1.189 1703 1.064 1704 1.214 1705 1.002 1706 0.97 1707 1.32 1708 1.057 1709 0.612 1710 1.009 1711 0.975 1712 0.961 1713 0.876 1714 0.871 1715 1.057 1716 0.848 1717 0.748 1718 1.034 1719 0.744 1720 0.825 1721 0.676 1722 0.713 1723 0.642 1724 0.711 1725 0.975 1726 0.834 1727 1.104 1728 0.889 1729 1.268 1730 1.327 1731 1.138 1732 1.224 1733 1.341 1734 0.723 1735 1.036 1736 1.244 1737 1.091 1738 1.493 1739 1.491 1740 1.042 1741 0.988 1742 1.087 1743 1.044 1744 1.133 1745 0.915 1746 1.171 1747 0.834 1748 1.152 1749 1.111 1750 1.088 1751 1.016 1752 1.232 1753 1.294 1754 1.283 1755 1.543 1756 1.54 1757 1.427 1758 1.273 1759 1.568 1760 1.745 1761 1.139 1762 1.09 1763 0.924 1764 0.82 1765 0.896 1766 1.025 1767 0.86 1768 0.845 1769 0.589 1770 0.747 1771 0.81 1772 0.973 1773 0.859 1774 1.062 1775 0.938 1776 0.896 1777 1.113 1778 0.945 1779 0.941 1780 1.103 1781 0.84 1782 0.982 1783 0.875 1784 0.91 1785 1.133 1786 0.782 1787 0.927 1788 1.011 1789 1.096 1790 0.831 1791 0.89 1792 0.981 1793 0.775 1794 0.851 1795 0.964 1796 1.044 1797 1.034 1798 1.045 1799 1.224 1800 0.982 1801 1.02 1802 1.012 1803 0.949 1804 1.225 1805 1.216 1806 0.44 1807 0.958 1808 1.005 1809 0.952 1810 0.849 1811 0.692 1812 0.705 1813 0.489 1814 0.733 1815 0.746 1816 0.888 1817 0.995 1818 1.125 1819 1.041 1820 0.732 1821 0.626 1822 0.785 1823 1.278 1824 1.238 1825 1.061 1826 1.779 1827 1.468 1828 1.164 1829 1.439 1830 1.395 1831 1.372 1832 1.281 1833 0.994 1834 1.195 1835 0.905 1836 1.087 1837 0.45 1838 0.915 1839 0.673 1840 0.921 1841 0.718 1842 0.555 1843 0.679 1844 0.765 1845 1.067 1846 0.757 1847 0.756 1848 0.71 1849 1.03 1850 0.964 1851 1.11 1852 1.203 1853 0.963 1854 1.125 1855 1.025 1856 1.011 1857 0.975 1858 1.168 1859 1.021 1860 1.043 1861 1.125 1862 0.909 1863 0.934 1864 1.165 1865 1.187 1866 0.84 1867 0.928 1868 0.918 1869 0.939 1870 0.942 1871 0.862 1872 0.841 1873 1.188 1874 0.794 1875 0.807 1876 1.045 1877 1.022 1878 0.793 1879 0.796 1880 0.588 1881 0.574 1882 0.759 1883 0.884 1884 0.909 1885 1.013 1886 1.052 1887 0.89 1888 0.562 1889 0.867 1890 1.032 1891 0.867 1892 0.515 1893 0.51 1894 0.588 1895 0.808 1896 0.815 1897 0.576 1898 0.989 1899 0.845 1900 0.455 1901 0.868 1902 0.503 1903 0.303 1904 0.405 1905 0.372 1906 0.441 1907 0.484 1908 0.551 1909 0.539 1910 0.29 1911 0.261 1912 0.584 1913 0.595 1914 0.736 1915 0.82 1916 0.89 1917 0.744 1918 0.931 1919 1.07 1920 0.947 1921 1.073 1922 1.209 1923 1.327 1924 1.103 1925 1.4 1926 0.955 1927 1.303 1928 0.922 1929 0.81 1930 1.486 1931 1.209 1932 1.101 1933 1.282 1934 1.522 1935 1.304 1936 1.047 1937 1.556 1938 1.454 1939 1.159 1940 0.949 1941 1.406 1942 1.128 1943 1.14 1944 1.195 1945 1.244 1946 1.06 1947 1.101 1948 1.128 1949 1.152 1950 1.156 1951 1.053 1952 1.038 1953 1.242 1954 1.266 1955 1.091 1956 0.98 1957 1.341 1958 1.068 1959 1.275 1960 1.652 1961 1.023 1962 0.982 1963 0.62 1964 1.363 1965 0.845 1966 0.875 1967 1.159 1968 1.032 1969 0.977 1970 1.321 1971 1.118 1972 1.329 1973 1.509 1974 1.012 1975 0.991 1976 1.158 1977 0.996 1978 0.889 1979 1.188 1980 1.066 1981 1.033 1982 0.946 1983 1.044