# asia_russ021w - Polar Ural (historisch) - 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_russ021w - Polar Ural (historisch) - 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: Polar Ural (historisch) # Location: # Country: Russia # Northernmost_Latitude: 66.87 # Southernmost_Latitude: 66.87 # Easternmost_Longitude: 65.63 # Westernmost_Longitude: 65.63 # Elevation: 250 m #-------------------- # Data_Collection # Collection_Name: asia_russ021wB # Earliest_Year: 1600 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.77351541578"}{"T2":"17.2322371221"}{"M1":"0.0224848850362"}{"M2":"0.416712926285"} #-------------------- # 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 1600 1.461 1601 1.126 1602 0.628 1603 1.673 1604 1.198 1605 1.111 1606 1.446 1607 1.61 1608 1.629 1609 0.999 1610 1.098 1611 1.541 1612 1.161 1613 0.597 1614 0.952 1615 0.94 1616 0.943 1617 0.457 1618 0.827 1619 1.609 1620 1.277 1621 0.854 1622 0.602 1623 0.376 1624 0.765 1625 0.859 1626 0.834 1627 1.356 1628 0.782 1629 0.963 1630 0.614 1631 0.214 1632 0.197 1633 0.702 1634 0.221 1635 0.671 1636 1.174 1637 0.977 1638 0.97 1639 0.771 1640 0.451 1641 0.413 1642 0.385 1643 0.47 1644 0.305 1645 0.738 1646 0.995 1647 1.037 1648 1.486 1649 0.829 1650 0.958 1651 0.886 1652 0.722 1653 1.078 1654 1.331 1655 0.359 1656 1.119 1657 1.06 1658 1.727 1659 1.569 1660 1.296 1661 1.156 1662 1.098 1663 1.049 1664 0.931 1665 0.91 1666 0.998 1667 0.316 1668 0.868 1669 1.198 1670 1.032 1671 1.466 1672 1.342 1673 0.978 1674 1.298 1675 1.131 1676 0.984 1677 0.731 1678 1.297 1679 0.781 1680 1.058 1681 1.318 1682 1.065 1683 0.998 1684 0.873 1685 1.388 1686 1.0 1687 1.242 1688 1.096 1689 0.921 1690 1.285 1691 1.115 1692 0.9 1693 0.929 1694 0.657 1695 0.992 1696 0.978 1697 0.463 1698 0.286 1699 0.468 1700 0.847 1701 0.825 1702 1.021 1703 0.99 1704 1.274 1705 1.232 1706 0.994 1707 1.592 1708 1.266 1709 0.992 1710 1.099 1711 0.79 1712 0.887 1713 0.928 1714 0.527 1715 1.204 1716 1.139 1717 0.779 1718 0.684 1719 1.309 1720 1.17 1721 1.617 1722 1.081 1723 0.808 1724 1.578 1725 1.151 1726 1.266 1727 1.048 1728 0.885 1729 1.171 1730 0.602 1731 0.936 1732 0.572 1733 1.121 1734 0.571 1735 0.834 1736 0.629 1737 1.042 1738 1.168 1739 1.052 1740 1.29 1741 0.867 1742 0.519 1743 0.589 1744 0.969 1745 0.964 1746 1.139 1747 1.202 1748 1.011 1749 0.539 1750 0.833 1751 1.307 1752 0.48 1753 0.823 1754 1.509 1755 0.539 1756 1.538 1757 1.467 1758 1.433 1759 1.127 1760 0.962 1761 1.538 1762 1.78 1763 1.003 1764 1.174 1765 0.924 1766 0.613 1767 1.274 1768 0.801 1769 1.052 1770 0.341 1771 0.868 1772 0.418 1773 0.419 1774 0.82 1775 1.169 1776 0.518 1777 1.14 1778 1.568 1779 1.473 1780 1.193 1781 1.145 1782 1.395 1783 0.446 1784 0.866 1785 1.165 1786 0.665 1787 0.994 1788 0.76 1789 0.985 1790 1.267 1791 1.162 1792 1.115 1793 1.124 1794 0.786 1795 0.966 1796 1.205 1797 0.922 1798 0.862 1799 0.57 1800 1.065 1801 1.071 1802 1.107 1803 1.08 1804 0.765 1805 1.373 1806 1.343 1807 1.988 1808 1.498 1809 1.209 1810 0.82 1811 1.11 1812 0.669 1813 1.125 1814 0.791 1815 0.585 1816 0.18 1817 0.677 1818 0.207 1819 0.774 1820 0.396 1821 0.943 1822 1.105 1823 1.472 1824 1.39 1825 0.768 1826 1.039 1827 1.308 1828 0.483 1829 1.395 1830 1.033 1831 0.551 1832 0.996 1833 0.555 1834 0.416 1835 0.748 1836 0.462 1837 0.56 1838 0.469 1839 0.948 1840 0.948 1841 0.381 1842 1.124 1843 0.702 1844 1.097 1845 0.979 1846 1.059 1847 1.491 1848 1.415 1849 1.691 1850 1.598 1851 1.764 1852 1.043 1853 1.351 1854 1.236 1855 0.346 1856 1.372 1857 0.781 1858 1.149 1859 1.512 1860 0.848 1861 1.382 1862 0.983 1863 0.742 1864 0.77 1865 0.814 1866 1.103 1867 0.419 1868 1.635 1869 0.998 1870 2.005 1871 1.385 1872 1.527 1873 0.887 1874 0.874 1875 0.738 1876 1.068 1877 1.411 1878 1.418 1879 1.414 1880 0.996 1881 0.975 1882 0.362 1883 0.244 1884 0.448 1885 0.268 1886 0.605 1887 0.693 1888 0.476 1889 0.304 1890 1.101 1891 0.344 1892 0.452 1893 0.722 1894 0.419 1895 0.629 1896 0.58 1897 0.759 1898 1.114 1899 0.38 1900 0.727 1901 0.585 1902 0.848 1903 0.396 1904 0.916 1905 0.832 1906 0.526 1907 0.571 1908 0.579 1909 0.768 1910 0.487 1911 1.042 1912 0.711 1913 1.008 1914 0.574 1915 1.254 1916 0.745 1917 1.009 1918 1.032 1919 0.549 1920 0.832 1921 1.183 1922 1.254 1923 1.714 1924 1.696 1925 1.115 1926 1.022 1927 1.164 1928 1.103 1929 0.899 1930 0.369 1931 0.688 1932 0.668 1933 1.166 1934 0.721 1935 0.948 1936 0.845 1937 1.569 1938 1.647 1939 1.788 1940 1.174 1941 0.724 1942 1.418 1943 1.617 1944 1.26 1945 1.429 1946 0.91 1947 0.337 1948 0.87 1949 0.618 1950 0.856 1951 0.896 1952 1.076 1953 1.078 1954 1.125 1955 1.454 1956 1.909 1957 1.459 1958 1.119 1959 0.983 1960 0.724 1961 1.051 1962 0.951 1963 1.694 1964 1.461 1965 1.669 1966 0.769 1967 0.951 1968 0.691 1969 0.953 1970 0.593 1971 0.598 1972 0.878 1973 0.598 1974 0.999 1975 0.291 1976 1.11 1977 0.859 1978 1.3 1979 1.302 1980 0.723 1981 1.324 1982 1.251 1983 1.594 1984 1.568 1985 1.05 1986 0.56 1987 1.417 1988 1.215 1989 1.407 1990 1.411