# asia_mong015 - Khorgo Lava - 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_mong015 - Khorgo Lava - 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: Khorgo Lava # Location: # Country: Mongolia # Northernmost_Latitude: 48.17 # Southernmost_Latitude: 48.17 # Easternmost_Longitude: 99.87 # Westernmost_Longitude: 99.87 # Elevation: 2060 m #-------------------- # Data_Collection # Collection_Name: asia_mong015B # Earliest_Year: 1600 # Most_Recent_Year: 2000 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"2.06553187685"}{"T2":"16.2441888261"}{"M1":"0.0227628756827"}{"M2":"0.500773140106"} #-------------------- # 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 1.194 1601 1.007 1602 1.144 1603 0.972 1604 0.651 1605 0.937 1606 1.451 1607 1.405 1608 0.909 1609 0.924 1610 1.122 1611 1.057 1612 0.881 1613 1.306 1614 2.13 1615 1.252 1616 1.647 1617 1.483 1618 1.464 1619 1.617 1620 1.617 1621 1.145 1622 1.56 1623 1.191 1624 1.479 1625 1.834 1626 1.384 1627 0.835 1628 0.484 1629 1.216 1630 0.769 1631 0.301 1632 1.057 1633 0.699 1634 0.82 1635 0.72 1636 0.991 1637 1.195 1638 0.488 1639 0.92 1640 0.835 1641 0.425 1642 0.348 1643 0.599 1644 0.917 1645 0.869 1646 0.959 1647 1.475 1648 1.16 1649 0.613 1650 1.275 1651 1.102 1652 0.544 1653 1.272 1654 1.372 1655 1.014 1656 0.745 1657 1.577 1658 1.601 1659 1.225 1660 0.856 1661 1.455 1662 1.039 1663 1.366 1664 1.267 1665 0.788 1666 0.889 1667 1.236 1668 0.895 1669 1.011 1670 0.531 1671 1.385 1672 1.324 1673 1.316 1674 1.349 1675 1.259 1676 1.182 1677 0.438 1678 1.113 1679 1.519 1680 0.436 1681 0.451 1682 1.076 1683 1.209 1684 1.43 1685 0.647 1686 0.883 1687 1.087 1688 1.47 1689 1.244 1690 1.678 1691 0.707 1692 1.21 1693 0.738 1694 0.855 1695 0.922 1696 0.507 1697 0.962 1698 0.428 1699 0.573 1700 0.632 1701 0.996 1702 1.229 1703 1.078 1704 1.213 1705 1.453 1706 1.457 1707 0.871 1708 0.98 1709 0.854 1710 1.01 1711 0.52 1712 0.95 1713 0.925 1714 0.669 1715 0.615 1716 1.181 1717 1.378 1718 0.675 1719 0.531 1720 1.396 1721 0.593 1722 0.974 1723 0.903 1724 1.187 1725 1.125 1726 1.287 1727 1.345 1728 0.496 1729 0.442 1730 0.702 1731 0.537 1732 0.77 1733 1.049 1734 1.37 1735 1.343 1736 0.75 1737 0.333 1738 0.472 1739 0.575 1740 0.489 1741 0.694 1742 0.626 1743 1.299 1744 0.914 1745 1.054 1746 0.756 1747 1.251 1748 0.697 1749 0.541 1750 0.554 1751 1.386 1752 0.757 1753 0.785 1754 1.622 1755 1.473 1756 1.378 1757 1.25 1758 0.377 1759 1.365 1760 1.154 1761 0.905 1762 1.501 1763 1.006 1764 0.883 1765 1.097 1766 1.155 1767 1.243 1768 1.376 1769 0.913 1770 0.67 1771 0.621 1772 0.399 1773 1.143 1774 0.582 1775 0.605 1776 0.662 1777 0.51 1778 1.013 1779 0.84 1780 0.902 1781 0.714 1782 0.617 1783 1.193 1784 1.509 1785 1.307 1786 0.995 1787 0.574 1788 1.142 1789 1.303 1790 1.081 1791 0.896 1792 0.743 1793 0.766 1794 1.071 1795 1.42 1796 1.48 1797 1.318 1798 1.576 1799 0.967 1800 0.704 1801 1.599 1802 1.795 1803 1.56 1804 0.806 1805 1.09 1806 1.21 1807 0.75 1808 1.209 1809 0.666 1810 0.75 1811 0.862 1812 0.358 1813 0.743 1814 0.635 1815 0.616 1816 0.733 1817 0.882 1818 0.91 1819 0.857 1820 1.087 1821 0.406 1822 1.046 1823 0.895 1824 0.507 1825 0.777 1826 0.763 1827 1.13 1828 0.801 1829 0.834 1830 1.245 1831 1.351 1832 0.902 1833 0.619 1834 1.163 1835 0.94 1836 0.881 1837 0.97 1838 1.136 1839 0.916 1840 0.602 1841 1.579 1842 1.307 1843 0.659 1844 1.556 1845 1.328 1846 1.199 1847 0.839 1848 1.814 1849 1.279 1850 0.901 1851 0.872 1852 0.772 1853 1.166 1854 0.618 1855 0.404 1856 0.703 1857 0.61 1858 0.789 1859 0.901 1860 0.916 1861 0.504 1862 0.818 1863 0.396 1864 0.56 1865 0.727 1866 0.511 1867 0.66 1868 1.082 1869 1.376 1870 1.511 1871 1.339 1872 1.038 1873 1.033 1874 1.215 1875 0.91 1876 0.877 1877 0.631 1878 1.287 1879 0.758 1880 0.847 1881 0.547 1882 0.46 1883 1.026 1884 0.908 1885 0.86 1886 0.915 1887 0.786 1888 1.002 1889 1.222 1890 1.297 1891 1.663 1892 0.884 1893 1.203 1894 0.632 1895 0.977 1896 1.403 1897 0.912 1898 1.187 1899 1.461 1900 0.972 1901 0.855 1902 1.021 1903 0.759 1904 0.353 1905 0.602 1906 1.008 1907 0.639 1908 0.964 1909 1.536 1910 0.366 1911 0.787 1912 0.594 1913 0.762 1914 1.086 1915 0.872 1916 1.427 1917 1.983 1918 1.182 1919 0.985 1920 1.263 1921 1.617 1922 1.396 1923 1.046 1924 1.291 1925 1.369 1926 1.74 1927 1.259 1928 0.681 1929 0.858 1930 0.551 1931 0.682 1932 0.922 1933 1.087 1934 1.13 1935 0.447 1936 0.744 1937 1.188 1938 1.555 1939 1.76 1940 0.432 1941 0.825 1942 0.584 1943 1.583 1944 1.051 1945 0.853 1946 1.371 1947 1.209 1948 0.404 1949 0.632 1950 1.449 1951 0.911 1952 1.247 1953 1.261 1954 0.919 1955 1.308 1956 1.674 1957 1.509 1958 1.483 1959 1.638 1960 1.441 1961 0.549 1962 0.902 1963 0.99 1964 1.163 1965 0.862 1966 0.682 1967 0.876 1968 0.4 1969 1.055 1970 0.769 1971 1.235 1972 0.745 1973 0.79 1974 0.697 1975 1.415 1976 1.559 1977 0.622 1978 0.628 1979 0.77 1980 0.51 1981 0.631 1982 0.856 1983 1.326 1984 1.381 1985 0.903 1986 1.215 1987 0.762 1988 0.778 1989 0.321 1990 1.491 1991 1.262 1992 1.133 1993 1.754 1994 0.884 1995 0.642 1996 0.323 1997 0.733 1998 0.961 1999 0.807 2000 1.076