# asia_russ129w - Ceminsky pass (Altai) - 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_russ129w - Ceminsky pass (Altai) - 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: Ceminsky pass (Altai) # Location: # Country: Russia # Northernmost_Latitude: 51.0 # Southernmost_Latitude: 51.0 # Easternmost_Longitude: 85.63 # Westernmost_Longitude: 85.63 # Elevation: 1450 m #-------------------- # Data_Collection # Collection_Name: asia_russ129wB # Earliest_Year: 1673 # Most_Recent_Year: 1994 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.60101747044"}{"T2":"18.9559146419"}{"M1":"0.0222499745689"}{"M2":"0.311829483088"} #-------------------- # Species # Species_Name: Siberian larch # Species_Code: LASI #-------------------- # 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 1673 0.891 1674 0.987 1675 0.907 1676 1.025 1677 0.855 1678 0.92 1679 0.872 1680 0.842 1681 0.973 1682 0.862 1683 0.799 1684 1.006 1685 0.828 1686 1.024 1687 0.865 1688 0.864 1689 1.008 1690 1.005 1691 0.889 1692 0.812 1693 1.213 1694 0.977 1695 1.138 1696 0.983 1697 1.035 1698 0.823 1699 0.834 1700 0.938 1701 0.892 1702 0.978 1703 1.148 1704 1.004 1705 0.867 1706 0.702 1707 0.913 1708 1.081 1709 1.222 1710 0.892 1711 1.098 1712 0.588 1713 0.338 1714 0.783 1715 0.957 1716 1.186 1717 1.064 1718 0.876 1719 1.092 1720 1.166 1721 1.177 1722 1.211 1723 0.992 1724 0.893 1725 0.913 1726 0.949 1727 0.922 1728 0.967 1729 1.021 1730 0.972 1731 1.043 1732 0.907 1733 1.013 1734 1.129 1735 0.779 1736 0.788 1737 0.964 1738 0.922 1739 1.041 1740 1.088 1741 0.84 1742 1.026 1743 0.898 1744 0.853 1745 0.717 1746 0.76 1747 1.023 1748 1.111 1749 1.3 1750 0.974 1751 1.049 1752 0.895 1753 1.014 1754 0.983 1755 0.818 1756 0.974 1757 1.223 1758 0.924 1759 1.209 1760 1.027 1761 1.239 1762 1.104 1763 1.308 1764 1.162 1765 0.972 1766 0.901 1767 1.045 1768 0.921 1769 0.97 1770 1.146 1771 1.24 1772 1.294 1773 1.263 1774 1.004 1775 1.065 1776 1.102 1777 1.274 1778 0.847 1779 0.856 1780 0.942 1781 1.376 1782 1.376 1783 1.072 1784 1.169 1785 1.235 1786 1.283 1787 1.472 1788 0.978 1789 1.066 1790 1.254 1791 1.273 1792 1.151 1793 1.216 1794 1.071 1795 0.808 1796 0.854 1797 0.862 1798 1.028 1799 0.906 1800 1.048 1801 0.887 1802 0.883 1803 1.076 1804 1.099 1805 1.098 1806 1.177 1807 1.214 1808 1.183 1809 1.275 1810 1.173 1811 1.191 1812 0.946 1813 0.988 1814 0.788 1815 0.844 1816 0.882 1817 0.922 1818 0.842 1819 0.763 1820 0.742 1821 0.855 1822 0.921 1823 0.853 1824 0.842 1825 1.026 1826 0.818 1827 0.787 1828 0.732 1829 0.981 1830 1.24 1831 1.286 1832 1.234 1833 1.122 1834 1.048 1835 0.651 1836 0.781 1837 0.862 1838 1.048 1839 0.883 1840 0.835 1841 0.998 1842 0.76 1843 0.69 1844 0.682 1845 0.699 1846 1.135 1847 0.968 1848 1.085 1849 0.75 1850 0.418 1851 0.749 1852 0.611 1853 0.915 1854 0.489 1855 0.589 1856 0.927 1857 1.01 1858 0.85 1859 0.904 1860 1.007 1861 1.039 1862 1.241 1863 1.133 1864 0.975 1865 0.814 1866 0.846 1867 0.965 1868 0.97 1869 0.783 1870 0.785 1871 0.663 1872 0.768 1873 0.621 1874 0.616 1875 0.675 1876 0.891 1877 0.895 1878 0.953 1879 0.99 1880 1.017 1881 0.856 1882 0.983 1883 0.998 1884 0.91 1885 0.955 1886 1.2 1887 1.111 1888 1.142 1889 1.11 1890 0.83 1891 0.824 1892 0.868 1893 0.959 1894 1.015 1895 1.012 1896 1.116 1897 1.155 1898 0.938 1899 1.119 1900 1.095 1901 1.256 1902 1.223 1903 1.098 1904 1.072 1905 1.311 1906 1.189 1907 1.221 1908 1.578 1909 1.582 1910 1.207 1911 1.086 1912 1.135 1913 1.109 1914 1.136 1915 1.072 1916 1.227 1917 0.887 1918 1.028 1919 1.015 1920 1.087 1921 1.269 1922 1.299 1923 1.417 1924 1.422 1925 1.376 1926 1.142 1927 1.143 1928 1.373 1929 1.285 1930 1.052 1931 0.909 1932 1.118 1933 1.077 1934 0.949 1935 1.009 1936 1.154 1937 1.235 1938 1.02 1939 1.178 1940 0.871 1941 1.078 1942 1.142 1943 0.783 1944 1.008 1945 0.976 1946 0.992 1947 0.844 1948 1.156 1949 1.074 1950 1.106 1951 1.035 1952 1.275 1953 1.338 1954 1.397 1955 1.218 1956 1.004 1957 1.124 1958 0.814 1959 0.884 1960 0.877 1961 0.728 1962 1.027 1963 1.208 1964 1.219 1965 1.145 1966 1.047 1967 0.939 1968 0.734 1969 0.838 1970 0.859 1971 0.887 1972 0.799 1973 0.624 1974 0.766 1975 0.812 1976 1.152 1977 1.05 1978 1.067 1979 1.06 1980 0.957 1981 0.755 1982 0.733 1983 0.804 1984 0.73 1985 0.321 1986 0.355 1987 0.589 1988 0.564 1989 0.886 1990 0.898 1991 0.874 1992 0.613 1993 0.421 1994 0.572