# europe_germ6 - Oldenburg - 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_germ6 - Oldenburg - 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: Oldenburg # Location: # Country: Germany # Northernmost_Latitude: 53.0 # Southernmost_Latitude: 53.0 # Easternmost_Longitude: 8.0 # Westernmost_Longitude: 8.0 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: europe_germ6B # Earliest_Year: 1600 # Most_Recent_Year: 1972 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.16440054821"}{"T2":"20.298125984"}{"M1":"0.0224134983595"}{"M2":"0.246857844922"} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 0.931 1601 0.734 1602 0.738 1603 1.007 1604 1.201 1605 1.273 1606 1.276 1607 1.395 1608 0.899 1609 1.031 1610 0.975 1611 1.132 1612 1.201 1613 1.206 1614 1.115 1615 0.89 1616 0.935 1617 1.269 1618 1.054 1619 0.885 1620 1.021 1621 0.881 1622 1.065 1623 1.155 1624 1.017 1625 1.005 1626 0.923 1627 1.159 1628 0.958 1629 0.905 1630 0.887 1631 0.952 1632 1.052 1633 0.802 1634 0.711 1635 0.738 1636 0.842 1637 1.105 1638 1.286 1639 1.15 1640 1.19 1641 0.972 1642 0.913 1643 1.013 1644 0.951 1645 0.977 1646 1.099 1647 1.011 1648 0.925 1649 1.08 1650 0.847 1651 0.725 1652 0.678 1653 1.052 1654 1.198 1655 1.291 1656 1.255 1657 0.941 1658 0.956 1659 0.92 1660 1.008 1661 0.925 1662 1.138 1663 1.358 1664 1.184 1665 0.873 1666 0.932 1667 0.926 1668 1.066 1669 1.109 1670 0.982 1671 1.362 1672 1.117 1673 0.979 1674 0.846 1675 0.773 1676 0.685 1677 0.931 1678 0.848 1679 1.214 1680 1.085 1681 1.09 1682 1.046 1683 0.977 1684 0.999 1685 0.702 1686 0.954 1687 1.257 1688 1.288 1689 1.272 1690 0.896 1691 0.939 1692 0.764 1693 0.958 1694 0.959 1695 0.664 1696 0.621 1697 0.711 1698 0.783 1699 0.509 1700 0.681 1701 1.098 1702 1.097 1703 1.043 1704 1.11 1705 0.987 1706 1.065 1707 1.123 1708 1.111 1709 0.786 1710 0.742 1711 0.881 1712 1.294 1713 1.285 1714 1.048 1715 1.127 1716 1.18 1717 1.097 1718 0.767 1719 0.959 1720 0.942 1721 0.972 1722 1.063 1723 0.991 1724 0.979 1725 0.949 1726 1.055 1727 1.255 1728 1.032 1729 1.197 1730 1.463 1731 1.373 1732 1.295 1733 1.248 1734 1.301 1735 1.261 1736 0.99 1737 0.936 1738 0.949 1739 1.134 1740 0.836 1741 0.689 1742 0.619 1743 0.59 1744 0.591 1745 0.562 1746 0.774 1747 0.938 1748 0.985 1749 0.796 1750 0.925 1751 0.797 1752 0.885 1753 0.876 1754 0.824 1755 0.99 1756 1.113 1757 0.877 1758 1.138 1759 1.005 1760 1.141 1761 1.152 1762 1.031 1763 1.452 1764 1.365 1765 1.024 1766 1.551 1767 1.203 1768 0.974 1769 0.832 1770 0.921 1771 1.102 1772 0.957 1773 1.013 1774 1.141 1775 0.983 1776 0.908 1777 0.916 1778 1.046 1779 0.869 1780 1.051 1781 1.055 1782 0.94 1783 0.939 1784 1.109 1785 0.855 1786 0.6 1787 0.549 1788 0.73 1789 1.029 1790 0.901 1791 1.004 1792 0.856 1793 0.907 1794 0.754 1795 0.815 1796 1.025 1797 1.172 1798 1.21 1799 1.132 1800 0.981 1801 1.148 1802 1.007 1803 0.657 1804 0.928 1805 0.882 1806 0.828 1807 1.488 1808 1.032 1809 0.806 1810 0.653 1811 0.905 1812 0.946 1813 1.017 1814 0.826 1815 0.961 1816 0.959 1817 1.059 1818 1.037 1819 0.917 1820 0.848 1821 0.866 1822 1.084 1823 1.173 1824 1.111 1825 1.027 1826 1.089 1827 0.83 1828 0.915 1829 0.905 1830 0.899 1831 0.909 1832 0.818 1833 0.928 1834 1.141 1835 0.938 1836 0.781 1837 1.043 1838 0.818 1839 0.896 1840 0.666 1841 0.948 1842 1.2 1843 0.864 1844 0.816 1845 0.805 1846 0.983 1847 0.844 1848 0.863 1849 1.129 1850 1.128 1851 1.147 1852 1.011 1853 1.048 1854 0.915 1855 0.845 1856 0.829 1857 0.911 1858 0.645 1859 0.686 1860 0.799 1861 0.844 1862 0.885 1863 0.967 1864 0.926 1865 0.779 1866 0.82 1867 1.111 1868 0.885 1869 0.758 1870 1.022 1871 1.342 1872 0.83 1873 0.882 1874 0.828 1875 0.986 1876 0.76 1877 0.626 1878 0.742 1879 0.74 1880 0.709 1881 0.801 1882 0.901 1883 0.788 1884 0.86 1885 0.801 1886 0.956 1887 0.808 1888 0.718 1889 0.878 1890 1.186 1891 1.054 1892 1.357 1893 1.213 1894 1.216 1895 1.36 1896 1.133 1897 1.149 1898 1.134 1899 0.978 1900 1.137 1901 1.011 1902 1.01 1903 1.317 1904 1.198 1905 0.877 1906 1.047 1907 1.13 1908 1.265 1909 1.006 1910 1.284 1911 1.186 1912 0.936 1913 1.0 1914 1.259 1915 1.028 1916 0.758 1917 1.031 1918 0.808 1919 0.682 1920 0.89 1921 0.936 1922 0.904 1923 0.827 1924 1.044 1925 0.883 1926 0.83 1927 1.091 1928 0.927 1929 1.029 1930 0.956 1931 1.031 1932 1.198 1933 1.317 1934 1.085 1935 1.305 1936 1.069 1937 1.038 1938 1.143 1939 1.143 1940 0.77 1941 0.753 1942 0.687 1943 0.701 1944 0.889 1945 0.993 1946 1.094 1947 1.28 1948 1.062 1949 1.065 1950 1.467 1951 1.238 1952 1.207 1953 1.219 1954 0.904 1955 0.94 1956 0.628 1957 0.799 1958 0.727 1959 0.693 1960 0.706 1961 0.991 1962 0.996 1963 0.942 1964 0.848 1965 0.796 1966 0.948 1967 1.112 1968 1.3 1969 1.146 1970 0.997 1971 1.049 1972 0.952