# asia_mong013 - Telmen Hovoo - 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_mong013 - Telmen Hovoo - 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: Telmen Hovoo # Location: # Country: Mongolia # Northernmost_Latitude: 48.77 # Southernmost_Latitude: 48.77 # Easternmost_Longitude: 97.12 # Westernmost_Longitude: 97.12 # Elevation: 1841 m #-------------------- # Data_Collection # Collection_Name: asia_mong013B # Earliest_Year: 1661 # Most_Recent_Year: 1998 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.11246819043"}{"T2":"15.9445985225"}{"M1":"0.0224440057222"}{"M2":"0.473608970721"} #-------------------- # 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 1661 1.038 1662 1.359 1663 1.225 1664 1.134 1665 0.754 1666 1.115 1667 0.894 1668 0.59 1669 0.452 1670 0.686 1671 1.347 1672 1.298 1673 1.308 1674 1.192 1675 0.977 1676 1.083 1677 1.197 1678 0.944 1679 1.454 1680 1.366 1681 0.859 1682 1.357 1683 0.754 1684 1.543 1685 1.68 1686 0.964 1687 1.233 1688 0.995 1689 1.034 1690 1.474 1691 1.028 1692 1.589 1693 0.577 1694 0.584 1695 1.049 1696 0.87 1697 0.751 1698 0.367 1699 0.545 1700 0.634 1701 0.856 1702 0.561 1703 0.656 1704 0.764 1705 0.775 1706 0.596 1707 0.936 1708 0.585 1709 0.945 1710 0.805 1711 0.597 1712 0.858 1713 1.204 1714 0.471 1715 1.028 1716 1.063 1717 1.269 1718 0.88 1719 0.659 1720 1.433 1721 1.06 1722 1.173 1723 1.193 1724 0.994 1725 0.992 1726 1.137 1727 1.169 1728 1.157 1729 0.908 1730 0.592 1731 0.485 1732 0.963 1733 1.247 1734 1.822 1735 1.212 1736 0.75 1737 0.923 1738 0.848 1739 0.81 1740 0.798 1741 0.829 1742 0.798 1743 1.278 1744 0.95 1745 1.08 1746 0.7 1747 1.274 1748 0.985 1749 1.218 1750 1.128 1751 1.682 1752 1.842 1753 1.668 1754 1.555 1755 1.551 1756 0.838 1757 0.843 1758 1.135 1759 0.938 1760 0.729 1761 0.506 1762 0.851 1763 1.132 1764 1.16 1765 0.813 1766 1.06 1767 1.066 1768 1.063 1769 1.314 1770 0.733 1771 0.945 1772 0.937 1773 0.925 1774 1.222 1775 0.872 1776 0.838 1777 0.883 1778 1.136 1779 0.633 1780 0.496 1781 0.521 1782 0.526 1783 0.677 1784 1.005 1785 1.146 1786 1.064 1787 0.806 1788 0.782 1789 1.13 1790 1.444 1791 1.371 1792 1.579 1793 1.389 1794 1.525 1795 1.914 1796 1.595 1797 1.16 1798 1.365 1799 1.19 1800 1.022 1801 1.45 1802 1.417 1803 1.093 1804 0.674 1805 0.339 1806 0.656 1807 0.574 1808 1.077 1809 0.675 1810 0.715 1811 0.5 1812 0.582 1813 0.897 1814 0.88 1815 1.025 1816 0.679 1817 0.932 1818 0.941 1819 0.703 1820 0.739 1821 0.962 1822 0.878 1823 0.668 1824 1.036 1825 0.761 1826 0.811 1827 1.119 1828 1.125 1829 0.738 1830 1.071 1831 1.28 1832 0.911 1833 1.112 1834 0.92 1835 0.847 1836 0.745 1837 1.003 1838 1.359 1839 1.406 1840 0.776 1841 1.244 1842 1.083 1843 0.981 1844 1.24 1845 0.761 1846 1.139 1847 0.933 1848 1.302 1849 1.0 1850 0.755 1851 0.912 1852 0.805 1853 0.896 1854 0.699 1855 0.609 1856 0.745 1857 0.38 1858 0.879 1859 0.655 1860 0.84 1861 0.593 1862 0.538 1863 0.517 1864 1.017 1865 0.683 1866 0.77 1867 0.776 1868 0.629 1869 1.01 1870 0.973 1871 0.986 1872 0.896 1873 1.286 1874 1.077 1875 0.873 1876 0.884 1877 1.167 1878 1.318 1879 1.035 1880 0.703 1881 0.887 1882 0.845 1883 0.686 1884 0.763 1885 0.675 1886 0.54 1887 0.875 1888 1.177 1889 1.288 1890 1.288 1891 1.425 1892 1.122 1893 1.266 1894 0.828 1895 0.74 1896 1.356 1897 1.038 1898 0.425 1899 1.17 1900 0.869 1901 0.716 1902 0.382 1903 0.728 1904 0.45 1905 0.543 1906 0.894 1907 0.694 1908 0.867 1909 1.234 1910 0.57 1911 0.961 1912 1.429 1913 1.409 1914 1.622 1915 0.998 1916 1.01 1917 1.661 1918 1.887 1919 1.232 1920 1.592 1921 1.942 1922 1.09 1923 1.18 1924 1.188 1925 0.939 1926 1.189 1927 0.598 1928 0.803 1929 0.973 1930 0.462 1931 0.473 1932 0.872 1933 1.243 1934 0.986 1935 1.005 1936 1.308 1937 1.291 1938 1.508 1939 1.432 1940 0.725 1941 1.338 1942 0.868 1943 1.361 1944 1.304 1945 0.859 1946 1.282 1947 1.164 1948 0.66 1949 1.176 1950 1.244 1951 0.888 1952 0.908 1953 1.086 1954 0.73 1955 1.435 1956 0.978 1957 0.516 1958 1.133 1959 1.524 1960 0.889 1961 1.024 1962 1.226 1963 1.441 1964 1.249 1965 0.763 1966 1.053 1967 1.235 1968 1.17 1969 0.94 1970 0.762 1971 0.903 1972 0.582 1973 0.888 1974 0.82 1975 0.807 1976 0.767 1977 0.545 1978 0.543 1979 0.713 1980 0.865 1981 0.615 1982 0.871 1983 1.15 1984 1.328 1985 0.703 1986 1.236 1987 1.267 1988 1.383 1989 0.562 1990 1.128 1991 1.497 1992 0.842 1993 1.379 1994 1.409 1995 0.916 1996 0.98 1997 0.642 1998 1.009