# asia_mong010 - Suuleen Bagtraa - 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_mong010 - Suuleen Bagtraa - 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: Suuleen Bagtraa # Location: # Country: Mongolia # Northernmost_Latitude: 47.27 # Southernmost_Latitude: 47.27 # Easternmost_Longitude: 100.03 # Westernmost_Longitude: 100.03 # Elevation: 2500 m #-------------------- # Data_Collection # Collection_Name: asia_mong010B # Earliest_Year: 1600 # Most_Recent_Year: 1999 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"3.23868292332"}{"T2":"18.7899815499"}{"M1":"0.0223005871218"}{"M2":"0.24871353986"} #-------------------- # 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 1.276 1601 1.289 1602 1.363 1603 0.781 1604 0.813 1605 0.842 1606 0.928 1607 1.217 1608 0.961 1609 0.723 1610 0.74 1611 1.113 1612 1.122 1613 1.289 1614 1.455 1615 1.201 1616 0.888 1617 1.408 1618 1.212 1619 1.184 1620 1.129 1621 1.379 1622 1.343 1623 1.011 1624 1.518 1625 1.457 1626 0.909 1627 0.445 1628 0.544 1629 0.695 1630 0.585 1631 0.656 1632 0.883 1633 0.968 1634 0.968 1635 0.761 1636 0.673 1637 0.842 1638 0.549 1639 0.522 1640 0.844 1641 0.582 1642 0.779 1643 0.669 1644 0.898 1645 0.686 1646 0.637 1647 1.0 1648 1.163 1649 1.117 1650 0.875 1651 0.984 1652 0.494 1653 0.634 1654 1.176 1655 0.673 1656 0.792 1657 0.751 1658 1.027 1659 0.98 1660 1.167 1661 0.881 1662 0.776 1663 1.301 1664 1.33 1665 1.051 1666 1.125 1667 1.123 1668 1.029 1669 1.119 1670 0.834 1671 0.829 1672 1.228 1673 0.607 1674 1.23 1675 1.131 1676 1.126 1677 0.716 1678 1.23 1679 1.438 1680 0.726 1681 1.142 1682 1.338 1683 1.335 1684 1.142 1685 1.491 1686 1.277 1687 1.384 1688 1.459 1689 1.603 1690 1.443 1691 1.704 1692 1.661 1693 0.98 1694 0.486 1695 0.752 1696 0.659 1697 0.962 1698 1.073 1699 0.502 1700 1.161 1701 1.072 1702 0.955 1703 1.209 1704 1.413 1705 1.396 1706 1.391 1707 1.197 1708 1.076 1709 1.51 1710 1.129 1711 1.204 1712 1.375 1713 1.529 1714 1.677 1715 1.426 1716 1.286 1717 1.4 1718 1.194 1719 1.044 1720 1.43 1721 0.87 1722 1.65 1723 1.173 1724 0.971 1725 1.222 1726 1.322 1727 1.602 1728 0.923 1729 1.184 1730 1.34 1731 0.647 1732 0.773 1733 0.732 1734 1.138 1735 1.178 1736 0.593 1737 0.85 1738 0.761 1739 0.985 1740 0.968 1741 0.844 1742 1.096 1743 1.186 1744 1.006 1745 1.001 1746 0.897 1747 1.387 1748 0.445 1749 0.279 1750 0.19 1751 0.496 1752 0.675 1753 0.599 1754 0.458 1755 0.941 1756 0.863 1757 0.768 1758 0.269 1759 0.757 1760 0.513 1761 0.729 1762 0.801 1763 0.86 1764 0.58 1765 1.12 1766 0.83 1767 1.209 1768 1.091 1769 1.038 1770 0.866 1771 0.88 1772 0.452 1773 0.814 1774 0.903 1775 0.655 1776 0.738 1777 0.785 1778 0.931 1779 0.712 1780 0.665 1781 0.921 1782 1.159 1783 1.061 1784 1.179 1785 0.809 1786 1.264 1787 1.19 1788 0.965 1789 1.177 1790 1.084 1791 1.147 1792 1.127 1793 1.102 1794 1.149 1795 1.048 1796 0.969 1797 0.966 1798 1.316 1799 0.95 1800 0.747 1801 1.133 1802 0.863 1803 1.081 1804 1.276 1805 1.037 1806 1.293 1807 1.146 1808 1.146 1809 1.392 1810 1.191 1811 1.618 1812 1.071 1813 0.69 1814 0.934 1815 1.083 1816 1.13 1817 0.894 1818 0.951 1819 0.836 1820 1.098 1821 0.917 1822 0.932 1823 1.254 1824 0.434 1825 0.644 1826 0.61 1827 0.435 1828 0.416 1829 0.298 1830 0.559 1831 0.791 1832 0.759 1833 0.561 1834 0.588 1835 0.622 1836 0.692 1837 0.891 1838 0.967 1839 0.676 1840 0.567 1841 0.874 1842 0.403 1843 0.73 1844 1.077 1845 0.928 1846 1.006 1847 0.528 1848 1.119 1849 0.976 1850 0.789 1851 0.993 1852 0.911 1853 0.896 1854 0.619 1855 0.347 1856 0.537 1857 0.831 1858 0.528 1859 0.638 1860 0.928 1861 0.534 1862 0.506 1863 0.522 1864 0.71 1865 0.417 1866 0.512 1867 0.446 1868 0.533 1869 0.615 1870 0.484 1871 0.756 1872 0.489 1873 0.475 1874 0.825 1875 0.818 1876 0.619 1877 0.603 1878 0.705 1879 1.05 1880 1.061 1881 0.795 1882 0.735 1883 0.494 1884 0.396 1885 0.743 1886 0.801 1887 0.704 1888 0.562 1889 0.861 1890 0.608 1891 1.052 1892 0.774 1893 0.806 1894 0.784 1895 0.576 1896 0.956 1897 1.002 1898 1.004 1899 0.956 1900 0.94 1901 0.802 1902 0.834 1903 0.78 1904 0.51 1905 0.329 1906 0.59 1907 0.87 1908 0.834 1909 0.871 1910 0.876 1911 0.435 1912 0.692 1913 0.639 1914 0.745 1915 0.948 1916 0.813 1917 1.118 1918 0.785 1919 0.821 1920 0.642 1921 0.794 1922 1.188 1923 0.903 1924 1.036 1925 0.629 1926 0.963 1927 0.95 1928 1.16 1929 0.946 1930 0.996 1931 1.288 1932 1.22 1933 1.135 1934 1.197 1935 1.099 1936 0.654 1937 0.684 1938 1.009 1939 1.121 1940 1.018 1941 1.143 1942 0.941 1943 1.196 1944 1.594 1945 1.458 1946 1.648 1947 1.454 1948 0.97 1949 0.742 1950 1.444 1951 1.771 1952 1.311 1953 1.542 1954 1.371 1955 0.918 1956 1.314 1957 1.374 1958 1.549 1959 1.521 1960 1.409 1961 1.203 1962 1.272 1963 1.497 1964 1.655 1965 1.452 1966 1.533 1967 1.739 1968 1.463 1969 1.257 1970 1.571 1971 1.285 1972 1.694 1973 1.422 1974 1.557 1975 1.792 1976 1.952 1977 1.823 1978 1.435 1979 1.435 1980 1.279 1981 0.951 1982 1.355 1983 1.479 1984 1.407 1985 1.313 1986 1.113 1987 0.917 1988 1.157 1989 1.193 1990 1.393 1991 1.606 1992 1.812 1993 1.608 1994 1.534 1995 1.502 1996 0.979 1997 1.08 1998 1.117 1999 1.106