# asia_russ118w - Iremel Mountain - 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: asia_russ118w - Iremel Mountain - 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: Iremel Mountain # Location: # Country: Russia # Northernmost_Latitude: 54.88 # Southernmost_Latitude: 54.88 # Easternmost_Longitude: 58.88 # Westernmost_Longitude: 58.88 # Elevation: 990 m #-------------------- # Data_Collection # Collection_Name: asia_russ118wB # Earliest_Year: 1703 # Most_Recent_Year: 1993 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.50281795477"}{"T2":"19.6199980886"}{"M1":"0.0227986220756"}{"M2":"0.29035371128"} #-------------------- # 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 1703 0.797 1704 1.087 1705 1.207 1706 1.04 1707 1.272 1708 1.339 1709 1.34 1710 1.129 1711 1.302 1712 1.198 1713 1.208 1714 1.075 1715 0.766 1716 1.125 1717 0.921 1718 0.729 1719 0.704 1720 0.717 1721 0.717 1722 0.685 1723 0.757 1724 0.73 1725 0.805 1726 0.86 1727 0.81 1728 1.207 1729 1.079 1730 1.0 1731 1.088 1732 1.081 1733 0.871 1734 1.093 1735 0.869 1736 0.53 1737 0.575 1738 0.652 1739 0.816 1740 0.763 1741 0.623 1742 0.776 1743 0.656 1744 0.671 1745 0.723 1746 0.849 1747 0.835 1748 1.017 1749 0.833 1750 0.953 1751 0.82 1752 0.922 1753 0.966 1754 1.286 1755 0.851 1756 0.855 1757 1.141 1758 1.297 1759 1.195 1760 1.354 1761 1.324 1762 1.179 1763 1.218 1764 0.94 1765 1.166 1766 1.101 1767 1.262 1768 1.21 1769 0.659 1770 1.247 1771 1.281 1772 1.065 1773 0.91 1774 1.098 1775 1.028 1776 0.942 1777 1.069 1778 0.975 1779 0.948 1780 1.066 1781 1.119 1782 1.218 1783 1.121 1784 1.17 1785 0.918 1786 0.969 1787 0.968 1788 1.166 1789 1.143 1790 1.069 1791 1.183 1792 1.119 1793 1.179 1794 1.279 1795 1.065 1796 1.273 1797 1.139 1798 1.039 1799 1.2 1800 1.324 1801 1.253 1802 0.786 1803 0.951 1804 0.806 1805 0.979 1806 1.003 1807 0.952 1808 1.366 1809 1.284 1810 1.243 1811 1.12 1812 0.983 1813 0.961 1814 0.931 1815 1.013 1816 0.877 1817 0.926 1818 0.726 1819 0.927 1820 1.178 1821 1.29 1822 1.177 1823 1.209 1824 1.268 1825 1.144 1826 1.115 1827 1.148 1828 1.066 1829 1.009 1830 1.045 1831 1.042 1832 1.095 1833 1.007 1834 1.035 1835 0.888 1836 0.936 1837 0.994 1838 0.808 1839 0.949 1840 0.825 1841 0.81 1842 0.979 1843 0.83 1844 0.862 1845 0.748 1846 0.729 1847 0.893 1848 0.707 1849 0.698 1850 0.816 1851 0.598 1852 0.731 1853 0.75 1854 0.753 1855 0.785 1856 0.91 1857 0.841 1858 0.598 1859 0.653 1860 0.762 1861 0.569 1862 0.719 1863 0.637 1864 0.682 1865 0.46 1866 0.526 1867 0.708 1868 0.752 1869 0.487 1870 0.567 1871 0.722 1872 0.642 1873 0.648 1874 0.647 1875 0.67 1876 0.653 1877 0.774 1878 0.777 1879 0.64 1880 0.746 1881 0.545 1882 0.541 1883 0.527 1884 0.724 1885 0.479 1886 0.569 1887 0.488 1888 0.609 1889 0.749 1890 0.75 1891 0.743 1892 0.711 1893 0.79 1894 0.772 1895 0.818 1896 0.907 1897 0.882 1898 0.912 1899 0.87 1900 0.896 1901 0.972 1902 1.177 1903 1.048 1904 0.84 1905 0.914 1906 1.04 1907 1.303 1908 0.979 1909 1.165 1910 1.342 1911 1.01 1912 1.008 1913 1.078 1914 1.034 1915 1.093 1916 1.029 1917 1.305 1918 1.217 1919 1.005 1920 0.995 1921 0.681 1922 0.839 1923 0.762 1924 0.794 1925 0.963 1926 0.886 1927 0.925 1928 1.241 1929 1.075 1930 1.254 1931 1.415 1932 1.416 1933 1.309 1934 1.464 1935 1.569 1936 1.463 1937 1.442 1938 1.476 1939 1.649 1940 1.659 1941 1.367 1942 0.793 1943 1.409 1944 1.251 1945 1.048 1946 0.919 1947 1.029 1948 1.047 1949 1.286 1950 1.124 1951 1.403 1952 0.977 1953 1.131 1954 1.344 1955 1.13 1956 1.281 1957 1.244 1958 1.536 1959 1.136 1960 1.354 1961 1.145 1962 1.165 1963 1.161 1964 1.154 1965 1.273 1966 1.246 1967 1.066 1968 1.179 1969 0.905 1970 0.952 1971 1.096 1972 1.005 1973 0.981 1974 1.159 1975 0.827 1976 0.745 1977 0.666 1978 0.878 1979 0.806 1980 1.015 1981 1.05 1982 1.065 1983 1.037 1984 1.054 1985 0.885 1986 0.715 1987 0.912 1988 1.069 1989 0.844 1990 0.948 1991 0.75 1992 0.894 1993 0.948