# asia_russ053w - Zhaschiviersk - 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_russ053w - Zhaschiviersk - 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: Zhaschiviersk # Location: # Country: Russia # Northernmost_Latitude: 67.45 # Southernmost_Latitude: 67.45 # Easternmost_Longitude: 142.62 # Westernmost_Longitude: 142.62 # Elevation: 100 m #-------------------- # Data_Collection # Collection_Name: asia_russ053wB # Earliest_Year: 1643 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.84671182633"}{"T2":"17.9080981569"}{"M1":"0.023327184735"}{"M2":"0.300859962859"} #-------------------- # 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 1643 0.413 1644 0.934 1645 0.877 1646 0.93 1647 1.199 1648 0.848 1649 0.701 1650 0.548 1651 0.545 1652 0.83 1653 0.87 1654 1.134 1655 1.144 1656 0.89 1657 0.774 1658 0.933 1659 0.797 1660 0.964 1661 1.03 1662 0.997 1663 1.077 1664 1.439 1665 1.53 1666 1.495 1667 1.527 1668 1.414 1669 1.452 1670 1.184 1671 0.72 1672 1.028 1673 0.928 1674 1.015 1675 0.741 1676 0.507 1677 0.474 1678 0.348 1679 0.377 1680 0.557 1681 0.517 1682 0.713 1683 0.913 1684 0.878 1685 0.92 1686 0.778 1687 0.901 1688 0.938 1689 1.332 1690 1.852 1691 1.816 1692 1.446 1693 1.517 1694 1.413 1695 0.844 1696 1.387 1697 1.674 1698 1.055 1699 1.387 1700 1.19 1701 0.972 1702 0.928 1703 1.122 1704 1.611 1705 1.265 1706 1.202 1707 0.985 1708 1.163 1709 1.142 1710 1.087 1711 1.096 1712 1.063 1713 1.155 1714 0.854 1715 1.039 1716 1.053 1717 0.933 1718 0.641 1719 1.155 1720 1.367 1721 1.43 1722 1.311 1723 1.216 1724 0.914 1725 0.945 1726 1.309 1727 1.365 1728 0.932 1729 1.141 1730 0.592 1731 0.679 1732 0.922 1733 0.679 1734 0.749 1735 0.784 1736 0.776 1737 0.566 1738 0.549 1739 0.827 1740 0.504 1741 0.587 1742 0.645 1743 0.584 1744 0.536 1745 0.93 1746 1.066 1747 0.932 1748 0.879 1749 0.91 1750 1.039 1751 1.008 1752 1.02 1753 1.048 1754 0.732 1755 1.379 1756 1.158 1757 1.55 1758 1.097 1759 1.12 1760 1.215 1761 0.808 1762 0.627 1763 0.926 1764 0.39 1765 0.784 1766 0.709 1767 0.561 1768 0.577 1769 0.665 1770 0.429 1771 0.761 1772 0.587 1773 0.649 1774 0.951 1775 0.85 1776 0.806 1777 0.564 1778 0.61 1779 0.584 1780 0.717 1781 0.641 1782 1.068 1783 1.228 1784 1.141 1785 1.175 1786 1.176 1787 1.031 1788 0.922 1789 1.338 1790 1.09 1791 0.828 1792 1.147 1793 1.076 1794 0.858 1795 1.186 1796 0.997 1797 0.75 1798 1.219 1799 1.161 1800 0.985 1801 0.729 1802 1.061 1803 0.876 1804 0.846 1805 1.331 1806 1.154 1807 1.284 1808 0.954 1809 1.05 1810 0.989 1811 0.892 1812 0.652 1813 0.558 1814 0.777 1815 0.414 1816 0.735 1817 0.424 1818 0.121 1819 0.76 1820 0.657 1821 0.734 1822 0.425 1823 0.505 1824 0.823 1825 0.783 1826 0.984 1827 0.762 1828 0.742 1829 0.758 1830 0.731 1831 0.777 1832 0.397 1833 0.661 1834 0.705 1835 0.737 1836 0.916 1837 0.494 1838 0.545 1839 0.439 1840 0.489 1841 0.687 1842 0.462 1843 0.644 1844 0.761 1845 0.624 1846 0.656 1847 0.497 1848 0.565 1849 0.536 1850 0.411 1851 0.406 1852 0.503 1853 0.603 1854 0.47 1855 0.451 1856 0.454 1857 0.544 1858 0.726 1859 0.604 1860 0.757 1861 0.817 1862 0.745 1863 0.286 1864 0.578 1865 0.759 1866 0.874 1867 0.92 1868 0.894 1869 0.855 1870 0.877 1871 0.799 1872 1.168 1873 1.496 1874 1.286 1875 1.201 1876 1.153 1877 1.107 1878 1.3 1879 0.685 1880 0.825 1881 0.905 1882 0.587 1883 1.254 1884 0.909 1885 1.053 1886 1.219 1887 0.931 1888 0.836 1889 0.904 1890 1.243 1891 1.906 1892 1.566 1893 2.114 1894 1.953 1895 1.543 1896 1.027 1897 1.04 1898 1.537 1899 1.995 1900 1.858 1901 1.625 1902 1.619 1903 1.577 1904 1.005 1905 0.937 1906 1.33 1907 0.995 1908 1.131 1909 1.307 1910 1.399 1911 1.152 1912 1.334 1913 1.158 1914 1.39 1915 1.362 1916 1.416 1917 1.107 1918 0.905 1919 1.36 1920 1.482 1921 1.4 1922 1.215 1923 1.262 1924 1.226 1925 1.307 1926 1.164 1927 1.096 1928 1.207 1929 1.478 1930 1.195 1931 0.844 1932 0.963 1933 1.025 1934 0.697 1935 0.882 1936 0.457 1937 1.321 1938 1.503 1939 1.447 1940 1.335 1941 0.789 1942 1.283 1943 0.91 1944 0.945 1945 0.629 1946 0.728 1947 0.631 1948 0.821 1949 0.852 1950 0.788 1951 0.848 1952 0.861 1953 1.015 1954 0.963 1955 0.955 1956 0.852 1957 0.812 1958 0.958 1959 0.932 1960 1.084 1961 1.081 1962 0.966 1963 0.891 1964 0.977 1965 0.97 1966 0.683 1967 0.902 1968 0.808 1969 0.688 1970 0.769 1971 0.902 1972 0.543 1973 1.038 1974 0.656 1975 0.935 1976 0.871 1977 1.046 1978 1.046 1979 0.578 1980 0.758 1981 0.723 1982 0.577 1983 0.909 1984 0.738 1985 0.795 1986 0.694 1987 0.726 1988 0.576 1989 0.839 1990 0.7 1991 0.704