# asia_russ102w - Srednie-Kolymsk - 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_russ102w - Srednie-Kolymsk - 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: Srednie-Kolymsk # Location: # Country: Russia # Northernmost_Latitude: 67.25 # Southernmost_Latitude: 67.25 # Easternmost_Longitude: 153.7 # Westernmost_Longitude: 153.7 # Elevation: 50 m #-------------------- # Data_Collection # Collection_Name: asia_russ102wB # Earliest_Year: 1632 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.97900311217"}{"T2":"17.0032264682"}{"M1":"0.022817326196"}{"M2":"0.384274100288"} #-------------------- # Species # Species_Name: Dahurian larch # Species_Code: LAGM #-------------------- # 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 1632 1.283 1633 1.506 1634 1.142 1635 1.161 1636 0.723 1637 0.687 1638 1.209 1639 1.201 1640 1.387 1641 1.182 1642 0.476 1643 0.837 1644 1.36 1645 1.109 1646 1.173 1647 1.183 1648 1.179 1649 0.9 1650 0.953 1651 1.237 1652 0.639 1653 0.417 1654 0.794 1655 1.023 1656 1.24 1657 1.343 1658 1.24 1659 1.314 1660 1.427 1661 1.302 1662 1.422 1663 0.779 1664 0.806 1665 0.99 1666 0.474 1667 0.853 1668 1.02 1669 1.081 1670 0.409 1671 0.458 1672 0.35 1673 0.494 1674 0.776 1675 0.905 1676 0.682 1677 0.666 1678 0.493 1679 0.488 1680 0.443 1681 0.831 1682 1.015 1683 1.355 1684 1.283 1685 0.986 1686 0.737 1687 1.158 1688 1.244 1689 1.074 1690 1.515 1691 2.159 1692 1.763 1693 1.84 1694 1.184 1695 1.039 1696 1.194 1697 1.117 1698 0.683 1699 1.139 1700 0.87 1701 0.98 1702 0.883 1703 0.693 1704 1.07 1705 1.174 1706 0.98 1707 0.498 1708 0.682 1709 0.746 1710 0.848 1711 0.929 1712 0.98 1713 0.798 1714 0.792 1715 0.92 1716 1.013 1717 0.841 1718 0.652 1719 0.676 1720 0.678 1721 0.852 1722 0.9 1723 0.937 1724 0.369 1725 0.775 1726 0.73 1727 0.785 1728 0.736 1729 0.841 1730 0.551 1731 0.445 1732 0.726 1733 0.799 1734 0.726 1735 0.509 1736 0.526 1737 0.644 1738 0.754 1739 0.748 1740 0.636 1741 0.935 1742 1.068 1743 0.966 1744 0.744 1745 1.432 1746 1.173 1747 0.895 1748 0.569 1749 0.803 1750 0.899 1751 1.143 1752 1.881 1753 1.857 1754 2.036 1755 1.753 1756 1.034 1757 1.101 1758 1.056 1759 1.196 1760 1.371 1761 1.345 1762 0.999 1763 0.939 1764 0.806 1765 1.273 1766 1.147 1767 0.841 1768 0.682 1769 0.882 1770 1.167 1771 1.065 1772 1.118 1773 1.158 1774 1.225 1775 0.851 1776 0.777 1777 0.821 1778 0.932 1779 0.586 1780 0.75 1781 0.797 1782 1.21 1783 1.444 1784 1.086 1785 1.028 1786 0.733 1787 0.871 1788 0.581 1789 1.133 1790 0.745 1791 1.09 1792 1.026 1793 0.637 1794 0.751 1795 0.8 1796 0.556 1797 0.828 1798 0.816 1799 0.981 1800 1.159 1801 0.621 1802 1.011 1803 0.871 1804 1.023 1805 1.191 1806 0.703 1807 0.467 1808 0.895 1809 0.93 1810 0.94 1811 0.77 1812 0.601 1813 0.826 1814 0.767 1815 0.604 1816 0.862 1817 0.711 1818 0.535 1819 0.873 1820 0.832 1821 0.545 1822 0.2 1823 0.651 1824 0.625 1825 1.001 1826 0.908 1827 0.791 1828 1.059 1829 0.895 1830 1.315 1831 1.043 1832 1.185 1833 1.399 1834 1.221 1835 0.911 1836 0.856 1837 1.103 1838 0.812 1839 0.422 1840 0.887 1841 0.778 1842 0.614 1843 0.587 1844 1.034 1845 0.971 1846 0.832 1847 1.161 1848 1.054 1849 1.376 1850 1.385 1851 0.881 1852 1.326 1853 1.456 1854 1.193 1855 1.024 1856 0.988 1857 1.342 1858 1.751 1859 1.292 1860 0.886 1861 1.641 1862 0.815 1863 0.922 1864 1.658 1865 1.361 1866 1.599 1867 1.172 1868 1.137 1869 1.283 1870 1.712 1871 1.625 1872 1.964 1873 1.704 1874 1.815 1875 1.412 1876 1.408 1877 1.319 1878 1.054 1879 1.049 1880 1.04 1881 0.831 1882 0.824 1883 1.241 1884 1.162 1885 0.878 1886 1.33 1887 1.195 1888 1.202 1889 0.965 1890 1.212 1891 1.191 1892 0.94 1893 0.645 1894 0.956 1895 0.56 1896 0.518 1897 0.854 1898 1.068 1899 0.993 1900 1.234 1901 1.067 1902 1.309 1903 1.128 1904 1.149 1905 0.623 1906 0.978 1907 0.752 1908 0.396 1909 0.636 1910 0.624 1911 0.307 1912 0.956 1913 0.9 1914 0.83 1915 0.669 1916 0.942 1917 0.708 1918 0.428 1919 0.485 1920 0.554 1921 0.702 1922 0.715 1923 0.94 1924 1.038 1925 0.871 1926 0.75 1927 0.705 1928 0.801 1929 0.754 1930 0.825 1931 0.615 1932 0.949 1933 0.894 1934 0.672 1935 0.972 1936 0.673 1937 0.695 1938 0.914 1939 0.963 1940 1.22 1941 1.034 1942 1.375 1943 1.59 1944 1.121 1945 1.569 1946 1.223 1947 1.001 1948 1.599 1949 0.881 1950 1.413 1951 1.77 1952 0.933 1953 0.926 1954 1.117 1955 1.176 1956 1.138 1957 0.983 1958 1.17 1959 0.87 1960 1.084 1961 0.657 1962 0.805 1963 1.004 1964 0.847 1965 1.339 1966 0.937 1967 0.896 1968 1.104 1969 0.711 1970 0.842 1971 0.837 1972 0.208 1973 0.611 1974 0.55 1975 0.706 1976 0.865 1977 0.947 1978 1.073 1979 0.753 1980 0.843 1981 0.921 1982 0.953 1983 0.603 1984 0.743 1985 0.782 1986 0.927 1987 1.175 1988 0.722 1989 1.171 1990 1.091 1991 1.403