# asia_mong009 - Khalzan Khamar - 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_mong009 - Khalzan Khamar - 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: Khalzan Khamar # Location: # Country: Mongolia # Northernmost_Latitude: 49.92 # Southernmost_Latitude: 49.92 # Easternmost_Longitude: 91.57 # Westernmost_Longitude: 91.57 # Elevation: 2500 m #-------------------- # Data_Collection # Collection_Name: asia_mong009B # Earliest_Year: 1600 # Most_Recent_Year: 1998 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.07418924904"}{"T2":"18.4374760446"}{"M1":"0.0222738729709"}{"M2":"0.227291680475"} #-------------------- # 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 0.984 1601 0.704 1602 1.063 1603 1.125 1604 1.117 1605 1.717 1606 1.473 1607 1.631 1608 1.474 1609 1.479 1610 1.02 1611 1.346 1612 1.471 1613 1.48 1614 1.675 1615 1.142 1616 1.465 1617 1.74 1618 1.475 1619 1.23 1620 1.271 1621 1.235 1622 1.021 1623 1.151 1624 0.991 1625 1.193 1626 1.607 1627 0.948 1628 1.258 1629 1.413 1630 1.317 1631 0.996 1632 1.268 1633 1.037 1634 1.181 1635 1.318 1636 1.46 1637 1.22 1638 0.97 1639 1.088 1640 1.373 1641 1.018 1642 1.004 1643 0.828 1644 0.892 1645 0.823 1646 0.939 1647 0.934 1648 1.27 1649 1.541 1650 0.902 1651 1.022 1652 0.964 1653 1.508 1654 1.419 1655 0.678 1656 0.637 1657 0.931 1658 0.916 1659 1.209 1660 0.862 1661 0.352 1662 0.35 1663 0.823 1664 0.891 1665 0.894 1666 0.962 1667 0.916 1668 0.691 1669 0.814 1670 0.817 1671 1.025 1672 0.909 1673 0.652 1674 1.047 1675 0.692 1676 0.453 1677 0.75 1678 0.98 1679 0.955 1680 0.744 1681 1.076 1682 1.383 1683 1.315 1684 0.857 1685 0.952 1686 1.427 1687 1.177 1688 0.881 1689 1.288 1690 1.413 1691 1.24 1692 1.325 1693 0.997 1694 1.489 1695 1.348 1696 1.132 1697 1.113 1698 0.745 1699 0.718 1700 1.103 1701 1.047 1702 0.82 1703 1.011 1704 0.936 1705 1.004 1706 0.888 1707 1.138 1708 1.286 1709 1.381 1710 1.257 1711 1.396 1712 1.266 1713 1.447 1714 0.881 1715 0.803 1716 1.184 1717 0.984 1718 0.82 1719 1.003 1720 1.238 1721 0.94 1722 1.692 1723 0.866 1724 0.811 1725 1.477 1726 0.846 1727 0.968 1728 0.991 1729 1.666 1730 1.348 1731 0.941 1732 0.818 1733 0.834 1734 1.332 1735 0.41 1736 0.062 1737 0.741 1738 0.681 1739 0.757 1740 0.788 1741 0.635 1742 0.991 1743 0.956 1744 1.104 1745 1.15 1746 0.373 1747 0.922 1748 1.218 1749 1.099 1750 0.377 1751 0.79 1752 1.154 1753 1.235 1754 0.717 1755 1.438 1756 1.162 1757 1.055 1758 0.587 1759 1.27 1760 1.116 1761 1.205 1762 1.226 1763 0.9 1764 0.864 1765 1.114 1766 1.172 1767 1.143 1768 0.901 1769 1.11 1770 1.177 1771 0.632 1772 0.347 1773 1.004 1774 0.769 1775 0.711 1776 0.844 1777 1.081 1778 0.807 1779 1.027 1780 1.016 1781 1.436 1782 1.36 1783 1.451 1784 0.943 1785 0.681 1786 1.224 1787 1.073 1788 0.254 1789 0.715 1790 0.986 1791 0.974 1792 0.475 1793 0.768 1794 0.923 1795 0.753 1796 0.901 1797 0.44 1798 1.026 1799 1.01 1800 0.947 1801 0.82 1802 0.886 1803 1.417 1804 1.125 1805 0.907 1806 1.076 1807 1.197 1808 1.285 1809 1.469 1810 1.273 1811 1.178 1812 0.576 1813 0.088 1814 0.341 1815 0.643 1816 0.596 1817 0.499 1818 0.658 1819 0.525 1820 0.684 1821 0.716 1822 0.461 1823 0.901 1824 0.557 1825 0.47 1826 0.417 1827 0.774 1828 0.956 1829 1.067 1830 1.095 1831 0.924 1832 0.696 1833 0.519 1834 0.461 1835 0.397 1836 0.53 1837 0.658 1838 0.727 1839 0.747 1840 0.5 1841 0.724 1842 0.417 1843 0.468 1844 0.776 1845 0.874 1846 1.187 1847 0.806 1848 0.732 1849 0.851 1850 0.768 1851 1.141 1852 0.804 1853 0.933 1854 0.33 1855 0.738 1856 0.746 1857 0.785 1858 0.715 1859 0.522 1860 1.199 1861 0.816 1862 0.85 1863 0.685 1864 1.006 1865 0.858 1866 0.906 1867 0.72 1868 0.86 1869 0.743 1870 0.684 1871 0.95 1872 0.229 1873 0.433 1874 0.798 1875 0.891 1876 0.864 1877 1.407 1878 0.917 1879 0.922 1880 1.209 1881 0.961 1882 0.673 1883 0.781 1884 0.579 1885 1.012 1886 0.788 1887 0.466 1888 0.412 1889 1.125 1890 0.874 1891 0.993 1892 0.906 1893 0.753 1894 0.948 1895 0.823 1896 0.933 1897 1.205 1898 1.035 1899 0.374 1900 0.471 1901 0.825 1902 0.865 1903 0.601 1904 0.957 1905 0.913 1906 0.827 1907 1.109 1908 1.188 1909 1.406 1910 0.608 1911 0.277 1912 0.773 1913 0.709 1914 0.899 1915 1.186 1916 1.355 1917 0.885 1918 0.836 1919 0.821 1920 1.203 1921 1.19 1922 1.32 1923 0.808 1924 0.954 1925 0.933 1926 1.068 1927 0.749 1928 1.167 1929 1.136 1930 1.226 1931 0.884 1932 0.621 1933 0.894 1934 1.183 1935 1.111 1936 1.152 1937 1.164 1938 0.949 1939 1.217 1940 1.19 1941 1.385 1942 1.294 1943 1.024 1944 1.593 1945 1.758 1946 1.713 1947 1.245 1948 1.734 1949 1.318 1950 1.119 1951 1.236 1952 0.68 1953 1.228 1954 1.168 1955 1.291 1956 0.885 1957 1.318 1958 0.53 1959 1.285 1960 1.248 1961 0.787 1962 1.177 1963 1.75 1964 1.522 1965 2.079 1966 1.735 1967 1.261 1968 1.421 1969 1.522 1970 1.153 1971 0.974 1972 0.941 1973 1.172 1974 1.443 1975 1.393 1976 1.211 1977 1.303 1978 1.07 1979 1.384 1980 1.444 1981 1.318 1982 0.894 1983 0.786 1984 1.208 1985 0.856 1986 0.807 1987 0.962 1988 0.841 1989 1.248 1990 1.415 1991 1.737 1992 1.368 1993 1.182 1994 1.352 1995 1.34 1996 1.616 1997 1.194 1998 1.782