# asia_russ193 - Lower Lena - 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_russ193 - Lower Lena - 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: Lower Lena # Location: # Country: Russia # Northernmost_Latitude: 70.67 # Southernmost_Latitude: 70.67 # Easternmost_Longitude: 125.87 # Westernmost_Longitude: 125.87 # Elevation: 180 m #-------------------- # Data_Collection # Collection_Name: asia_russ193B # Earliest_Year: 1600 # Most_Recent_Year: 1994 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"7.00161906888"}{"T2":"18.3871053852"}{"M1":"0.0214139645714"}{"M2":"0.243410271499"} #-------------------- # Species # Species_Name: European larch # Species_Code: LADE #-------------------- # 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 1600 0.948 1601 0.393 1602 0.361 1603 0.255 1604 0.838 1605 0.788 1606 0.843 1607 0.563 1608 1.15 1609 0.731 1610 1.14 1611 0.902 1612 1.367 1613 1.759 1614 0.775 1615 0.851 1616 1.525 1617 1.769 1618 0.868 1619 0.686 1620 0.387 1621 1.06 1622 0.7 1623 1.316 1624 1.381 1625 1.446 1626 1.224 1627 0.986 1628 0.643 1629 1.049 1630 1.741 1631 1.21 1632 0.51 1633 0.821 1634 1.197 1635 0.769 1636 0.448 1637 1.097 1638 1.018 1639 1.362 1640 1.053 1641 1.057 1642 0.113 1643 0.841 1644 1.045 1645 0.579 1646 0.934 1647 0.523 1648 0.676 1649 1.017 1650 0.602 1651 1.003 1652 1.014 1653 0.668 1654 1.328 1655 1.44 1656 0.866 1657 0.971 1658 0.623 1659 1.163 1660 1.058 1661 0.539 1662 0.905 1663 0.537 1664 1.341 1665 1.4 1666 1.343 1667 1.671 1668 1.235 1669 0.74 1670 1.036 1671 0.508 1672 1.056 1673 1.115 1674 0.412 1675 0.451 1676 1.079 1677 0.581 1678 0.955 1679 1.122 1680 0.631 1681 0.629 1682 0.909 1683 1.253 1684 0.587 1685 0.666 1686 1.112 1687 0.917 1688 0.428 1689 1.484 1690 0.724 1691 1.253 1692 1.07 1693 1.907 1694 1.578 1695 0.307 1696 0.684 1697 1.429 1698 0.302 1699 0.543 1700 0.564 1701 0.792 1702 0.468 1703 1.25 1704 0.868 1705 1.224 1706 1.27 1707 1.012 1708 0.886 1709 0.559 1710 1.133 1711 1.454 1712 1.176 1713 1.324 1714 0.873 1715 0.628 1716 1.216 1717 1.258 1718 0.82 1719 1.122 1720 1.387 1721 1.501 1722 1.398 1723 1.761 1724 1.279 1725 1.409 1726 1.825 1727 1.799 1728 1.239 1729 0.981 1730 0.64 1731 0.853 1732 1.067 1733 0.808 1734 1.061 1735 0.678 1736 0.989 1737 0.893 1738 0.923 1739 1.038 1740 0.504 1741 0.51 1742 0.433 1743 1.036 1744 0.774 1745 1.438 1746 1.054 1747 1.474 1748 1.208 1749 1.194 1750 1.393 1751 1.017 1752 1.217 1753 0.746 1754 0.397 1755 1.334 1756 0.624 1757 2.056 1758 1.008 1759 1.012 1760 0.666 1761 1.014 1762 0.327 1763 1.458 1764 0.935 1765 1.279 1766 1.344 1767 0.935 1768 1.191 1769 1.37 1770 0.71 1771 0.896 1772 0.488 1773 0.615 1774 0.934 1775 0.937 1776 0.79 1777 1.059 1778 1.026 1779 0.471 1780 0.929 1781 1.204 1782 1.0 1783 1.078 1784 1.504 1785 1.347 1786 1.038 1787 1.261 1788 1.062 1789 1.175 1790 1.313 1791 0.581 1792 0.866 1793 0.714 1794 0.495 1795 0.831 1796 0.277 1797 0.767 1798 1.075 1799 0.493 1800 0.48 1801 0.463 1802 1.048 1803 1.147 1804 0.29 1805 0.585 1806 1.081 1807 0.427 1808 1.27 1809 0.573 1810 1.279 1811 1.171 1812 0.46 1813 0.177 1814 0.924 1815 0.652 1816 1.018 1817 0.411 1818 0.963 1819 0.52 1820 1.297 1821 0.715 1822 0.472 1823 0.343 1824 0.968 1825 0.415 1826 0.84 1827 0.597 1828 1.117 1829 0.767 1830 0.42 1831 0.939 1832 0.584 1833 0.665 1834 1.091 1835 0.745 1836 1.309 1837 0.409 1838 0.771 1839 0.875 1840 1.177 1841 1.0 1842 0.723 1843 0.956 1844 0.491 1845 1.012 1846 1.191 1847 0.847 1848 0.635 1849 0.681 1850 1.073 1851 0.433 1852 0.927 1853 1.02 1854 0.985 1855 0.707 1856 0.993 1857 0.669 1858 0.91 1859 0.587 1860 1.609 1861 1.187 1862 1.39 1863 0.404 1864 1.121 1865 1.17 1866 1.328 1867 1.515 1868 1.439 1869 0.934 1870 0.731 1871 1.191 1872 1.453 1873 0.896 1874 1.152 1875 0.768 1876 1.514 1877 1.057 1878 1.214 1879 1.076 1880 1.103 1881 1.453 1882 0.985 1883 1.274 1884 1.353 1885 1.033 1886 0.611 1887 0.563 1888 0.816 1889 0.758 1890 1.235 1891 0.998 1892 1.038 1893 0.653 1894 1.007 1895 1.077 1896 1.072 1897 1.217 1898 1.003 1899 1.234 1900 -0.027 1901 1.037 1902 1.353 1903 1.075 1904 0.69 1905 0.185 1906 0.761 1907 0.902 1908 0.934 1909 0.906 1910 0.962 1911 0.719 1912 1.121 1913 1.203 1914 1.668 1915 0.341 1916 0.735 1917 1.1 1918 0.634 1919 1.051 1920 0.822 1921 0.565 1922 1.544 1923 0.514 1924 0.846 1925 0.584 1926 0.844 1927 0.432 1928 0.759 1929 0.67 1930 1.083 1931 1.023 1932 1.22 1933 1.363 1934 1.127 1935 0.544 1936 0.887 1937 0.82 1938 1.691 1939 1.171 1940 1.737 1941 0.6 1942 0.987 1943 0.598 1944 0.76 1945 0.912 1946 1.256 1947 0.825 1948 1.318 1949 0.854 1950 0.788 1951 1.203 1952 1.026 1953 0.905 1954 1.021 1955 1.535 1956 1.243 1957 0.715 1958 0.534 1959 1.018 1960 1.52 1961 1.228 1962 0.487 1963 0.669 1964 1.49 1965 0.847 1966 1.015 1967 1.389 1968 1.231 1969 1.115 1970 0.957 1971 0.692 1972 0.7 1973 0.943 1974 1.842 1975 1.024 1976 1.028 1977 1.158 1978 0.934 1979 1.198 1980 0.525 1981 1.221 1982 1.457 1983 0.996 1984 1.065 1985 0.823 1986 1.599 1987 1.018 1988 1.467 1989 0.563 1990 1.172 1991 1.264 1992 0.732 1993 0.902 1994 1.181