# europe_pola006 - East Pomerania - 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_pola006 - East Pomerania - 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: East Pomerania # Location: # Country: Poland # Northernmost_Latitude: 53.5 # Southernmost_Latitude: 53.5 # Easternmost_Longitude: 16.0 # Westernmost_Longitude: 16.0 # Elevation: 20 m #-------------------- # Data_Collection # Collection_Name: europe_pola006B # Earliest_Year: 1600 # Most_Recent_Year: 1984 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.91731119383"}{"T2":"16.9592635741"}{"M1":"0.0229897957777"}{"M2":"0.50807723592"} #-------------------- # 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 0.934 1601 0.847 1602 0.957 1603 0.707 1604 0.902 1605 0.858 1606 0.967 1607 1.157 1608 1.09 1609 1.154 1610 1.028 1611 1.012 1612 1.094 1613 1.125 1614 1.162 1615 0.968 1616 0.868 1617 0.996 1618 0.874 1619 0.985 1620 1.153 1621 0.958 1622 0.947 1623 1.101 1624 0.818 1625 1.19 1626 0.848 1627 1.278 1628 0.971 1629 1.026 1630 1.011 1631 1.042 1632 1.061 1633 0.969 1634 0.908 1635 1.063 1636 0.76 1637 0.697 1638 0.829 1639 0.847 1640 0.902 1641 0.834 1642 0.998 1643 1.003 1644 1.132 1645 0.936 1646 1.27 1647 1.053 1648 1.028 1649 0.913 1650 1.177 1651 1.036 1652 0.703 1653 1.066 1654 0.93 1655 1.348 1656 1.429 1657 1.084 1658 1.201 1659 1.017 1660 1.248 1661 0.967 1662 0.9 1663 1.018 1664 1.104 1665 1.221 1666 0.891 1667 0.759 1668 0.691 1669 0.8 1670 0.613 1671 0.705 1672 0.782 1673 1.015 1674 0.988 1675 1.122 1676 1.02 1677 0.878 1678 1.004 1679 0.996 1680 1.028 1681 1.019 1682 1.343 1683 1.19 1684 1.14 1685 0.937 1686 0.99 1687 1.163 1688 1.06 1689 0.954 1690 0.733 1691 0.863 1692 1.01 1693 0.924 1694 1.089 1695 1.007 1696 0.872 1697 0.808 1698 0.957 1699 0.729 1700 0.746 1701 1.011 1702 1.068 1703 1.079 1704 1.163 1705 0.994 1706 1.081 1707 1.095 1708 1.051 1709 0.87 1710 1.083 1711 0.872 1712 0.997 1713 1.005 1714 0.733 1715 0.94 1716 0.908 1717 0.944 1718 0.872 1719 0.855 1720 0.947 1721 1.014 1722 1.223 1723 1.142 1724 1.026 1725 1.088 1726 0.788 1727 1.061 1728 0.902 1729 1.079 1730 1.07 1731 1.047 1732 1.052 1733 1.067 1734 1.17 1735 1.125 1736 1.22 1737 0.894 1738 1.06 1739 1.157 1740 0.938 1741 0.647 1742 0.691 1743 0.814 1744 0.907 1745 1.109 1746 0.859 1747 0.843 1748 1.0 1749 0.967 1750 1.001 1751 0.917 1752 1.038 1753 1.107 1754 1.054 1755 1.091 1756 1.194 1757 1.013 1758 0.962 1759 0.989 1760 1.023 1761 1.162 1762 0.922 1763 1.152 1764 0.781 1765 0.823 1766 0.95 1767 1.035 1768 0.783 1769 0.834 1770 0.815 1771 0.723 1772 1.057 1773 1.124 1774 0.965 1775 1.031 1776 1.093 1777 1.242 1778 1.199 1779 1.165 1780 1.047 1781 0.942 1782 0.892 1783 1.154 1784 1.024 1785 0.995 1786 1.036 1787 0.994 1788 0.714 1789 0.773 1790 0.607 1791 0.878 1792 0.934 1793 1.056 1794 0.8 1795 0.867 1796 1.127 1797 1.051 1798 1.193 1799 1.21 1800 0.569 1801 1.17 1802 1.088 1803 0.918 1804 0.829 1805 0.736 1806 0.605 1807 0.792 1808 0.772 1809 0.728 1810 0.796 1811 0.787 1812 1.061 1813 0.956 1814 0.936 1815 0.972 1816 1.02 1817 1.173 1818 0.971 1819 0.872 1820 1.367 1821 1.123 1822 0.986 1823 1.197 1824 1.086 1825 1.11 1826 1.002 1827 1.059 1828 1.426 1829 1.247 1830 1.248 1831 1.452 1832 1.167 1833 1.176 1834 1.235 1835 0.934 1836 0.973 1837 1.062 1838 0.55 1839 0.638 1840 0.813 1841 0.861 1842 1.102 1843 0.94 1844 0.9 1845 0.916 1846 1.079 1847 0.827 1848 0.771 1849 1.112 1850 1.171 1851 1.085 1852 0.977 1853 1.088 1854 0.898 1855 1.147 1856 0.957 1857 0.881 1858 0.732 1859 0.918 1860 0.969 1861 1.315 1862 1.224 1863 0.881 1864 0.83 1865 0.979 1866 0.844 1867 1.063 1868 0.859 1869 0.887 1870 0.88 1871 0.945 1872 0.939 1873 1.042 1874 0.822 1875 0.922 1876 0.984 1877 1.108 1878 1.053 1879 1.113 1880 1.099 1881 0.754 1882 0.985 1883 0.917 1884 1.012 1885 0.912 1886 0.857 1887 0.689 1888 0.821 1889 0.848 1890 1.035 1891 1.025 1892 1.034 1893 0.838 1894 1.011 1895 0.981 1896 0.974 1897 0.938 1898 0.756 1899 0.814 1900 0.772 1901 0.794 1902 1.049 1903 1.059 1904 0.909 1905 1.058 1906 1.095 1907 1.011 1908 1.102 1909 0.82 1910 1.036 1911 0.995 1912 0.893 1913 1.081 1914 0.98 1915 0.91 1916 0.941 1917 0.976 1918 0.975 1919 0.999 1920 0.988 1921 0.968 1922 1.018 1923 0.902 1924 1.135 1925 0.996 1926 1.135 1927 1.191 1928 0.908 1929 0.921 1930 0.846 1931 1.168 1932 1.169 1933 0.998 1934 1.052 1935 0.984 1936 1.093 1937 1.007 1938 1.0 1939 0.945 1940 0.847 1941 0.798 1942 0.774 1943 0.694 1944 0.786 1945 1.162 1946 1.181 1947 0.97 1948 1.069 1949 1.139 1950 1.086 1951 1.031 1952 0.81 1953 1.015 1954 0.911 1955 0.926 1956 0.977 1957 1.13 1958 1.188 1959 1.047 1960 1.054 1961 0.899 1962 1.032 1963 0.985 1964 0.947 1965 0.901 1966 0.891 1967 0.921 1968 1.036 1969 0.733 1970 0.993 1971 1.157 1972 1.051 1973 0.921 1974 0.965 1975 0.901 1976 0.827 1977 0.959 1978 0.992 1979 1.019 1980 1.212 1981 1.007 1982 0.992 1983 0.97 1984 1.226