# europe_norw008 - Vikran - 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_norw008 - Vikran - 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: Vikran # Location: # Country: Norway # Northernmost_Latitude: 69.53 # Southernmost_Latitude: 69.53 # Easternmost_Longitude: 18.73 # Westernmost_Longitude: 18.73 # Elevation: 100 m #-------------------- # Data_Collection # Collection_Name: europe_norw008B # Earliest_Year: 1639 # Most_Recent_Year: 1992 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.91716596532"}{"T2":"19.0858714894"}{"M1":"0.0227387441328"}{"M2":"0.352384275792"} #-------------------- # 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 1639 1.099 1640 1.013 1641 0.661 1642 0.735 1643 0.966 1644 0.619 1645 0.489 1646 0.816 1647 0.846 1648 1.006 1649 0.997 1650 1.013 1651 1.154 1652 0.959 1653 1.06 1654 1.283 1655 1.513 1656 1.39 1657 1.362 1658 1.849 1659 1.431 1660 1.46 1661 1.153 1662 1.426 1663 1.232 1664 1.075 1665 1.186 1666 1.105 1667 1.054 1668 1.359 1669 1.189 1670 1.248 1671 1.484 1672 1.204 1673 0.997 1674 1.059 1675 0.655 1676 0.422 1677 0.609 1678 0.668 1679 0.605 1680 0.349 1681 0.555 1682 0.696 1683 0.579 1684 0.58 1685 0.652 1686 0.584 1687 0.586 1688 0.589 1689 0.921 1690 0.733 1691 0.842 1692 1.227 1693 1.389 1694 1.34 1695 0.971 1696 0.909 1697 0.987 1698 1.061 1699 1.014 1700 1.141 1701 0.907 1702 0.964 1703 1.247 1704 1.523 1705 1.022 1706 1.027 1707 1.369 1708 1.059 1709 0.935 1710 1.246 1711 1.161 1712 1.105 1713 0.992 1714 0.687 1715 1.052 1716 0.963 1717 0.977 1718 0.932 1719 0.883 1720 0.942 1721 0.913 1722 0.976 1723 0.886 1724 1.178 1725 1.153 1726 0.974 1727 1.036 1728 0.977 1729 0.998 1730 1.06 1731 0.856 1732 0.732 1733 0.794 1734 0.61 1735 1.014 1736 1.125 1737 0.773 1738 0.989 1739 1.145 1740 0.959 1741 0.724 1742 1.008 1743 0.92 1744 0.884 1745 0.859 1746 0.948 1747 0.748 1748 0.926 1749 0.995 1750 1.045 1751 0.991 1752 1.002 1753 1.144 1754 1.231 1755 1.412 1756 1.223 1757 1.213 1758 1.277 1759 1.104 1760 1.176 1761 1.21 1762 1.413 1763 1.022 1764 0.778 1765 1.064 1766 1.116 1767 1.019 1768 0.896 1769 0.649 1770 0.804 1771 0.873 1772 0.787 1773 1.027 1774 1.327 1775 1.389 1776 1.191 1777 1.297 1778 1.333 1779 1.187 1780 1.147 1781 0.983 1782 0.902 1783 0.766 1784 0.729 1785 1.001 1786 0.76 1787 1.004 1788 0.886 1789 0.808 1790 0.866 1791 0.828 1792 0.878 1793 0.988 1794 1.16 1795 1.114 1796 1.304 1797 1.061 1798 1.347 1799 1.495 1800 1.018 1801 1.378 1802 1.413 1803 0.947 1804 1.069 1805 1.049 1806 0.701 1807 0.753 1808 0.764 1809 0.758 1810 0.827 1811 0.84 1812 0.684 1813 0.694 1814 0.492 1815 0.361 1816 0.464 1817 0.519 1818 0.655 1819 0.753 1820 0.671 1821 0.736 1822 0.7 1823 1.201 1824 1.0 1825 0.663 1826 1.097 1827 1.059 1828 1.028 1829 1.157 1830 1.059 1831 1.399 1832 1.142 1833 0.927 1834 0.809 1835 0.741 1836 1.022 1837 0.543 1838 0.657 1839 0.753 1840 0.993 1841 0.941 1842 0.959 1843 0.963 1844 1.361 1845 1.171 1846 1.049 1847 1.096 1848 1.014 1849 1.053 1850 0.795 1851 1.136 1852 1.106 1853 1.091 1854 1.295 1855 0.985 1856 1.083 1857 0.789 1858 1.129 1859 1.018 1860 1.021 1861 1.233 1862 0.955 1863 0.787 1864 0.989 1865 0.899 1866 0.903 1867 0.634 1868 0.512 1869 0.77 1870 1.031 1871 0.777 1872 1.004 1873 0.859 1874 0.644 1875 0.703 1876 0.924 1877 0.606 1878 0.764 1879 0.831 1880 0.754 1881 0.565 1882 0.644 1883 0.804 1884 0.915 1885 0.732 1886 0.88 1887 0.804 1888 0.785 1889 0.678 1890 1.071 1891 0.804 1892 0.489 1893 0.427 1894 0.745 1895 0.892 1896 0.7 1897 0.715 1898 0.833 1899 0.758 1900 0.526 1901 0.767 1902 0.785 1903 0.52 1904 0.735 1905 0.711 1906 0.708 1907 0.523 1908 0.802 1909 0.586 1910 0.653 1911 0.568 1912 0.863 1913 0.898 1914 1.11 1915 1.103 1916 0.897 1917 0.821 1918 1.139 1919 1.142 1920 1.006 1921 1.26 1922 1.222 1923 1.12 1924 1.104 1925 1.362 1926 1.176 1927 1.343 1928 1.197 1929 0.929 1930 1.439 1931 1.076 1932 0.87 1933 1.04 1934 1.386 1935 1.162 1936 0.992 1937 1.667 1938 1.348 1939 0.996 1940 1.01 1941 1.526 1942 1.207 1943 1.382 1944 1.447 1945 1.555 1946 1.173 1947 1.196 1948 1.124 1949 1.437 1950 1.395 1951 1.142 1952 0.965 1953 1.285 1954 1.516 1955 1.026 1956 1.324 1957 1.445 1958 1.287 1959 1.083 1960 1.351 1961 1.191 1962 0.816 1963 0.753 1964 1.07 1965 0.8 1966 1.01 1967 0.838 1968 0.957 1969 1.111 1970 1.087 1971 0.924 1972 1.211 1973 1.363 1974 1.138 1975 0.855 1976 0.813 1977 1.004 1978 0.988 1979 1.088 1980 1.334 1981 1.038 1982 1.035 1983 1.266 1984 1.261 1985 1.423 1986 0.851 1987 0.776 1988 0.924 1989 0.823 1990 1.186 1991 0.98 1992 0.856