# asia_mong003 - Solongotyn Davaa (Tarvagatay Pass) - 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_mong003 - Solongotyn Davaa (Tarvagatay Pass) - 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: Solongotyn Davaa (Tarvagatay Pass) # Location: # Country: Mongolia # Northernmost_Latitude: 48.3 # Southernmost_Latitude: 48.3 # Easternmost_Longitude: 98.93 # Westernmost_Longitude: 98.93 # Elevation: 2420 m #-------------------- # Data_Collection # Collection_Name: asia_mong003B # Earliest_Year: 1600 # Most_Recent_Year: 1999 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.63304236472"}{"T2":"16.9449575055"}{"M1":"0.022959235201"}{"M2":"0.424951040985"} #-------------------- # Species # Species_Name: Siberian stone pine # Species_Code: PISI #-------------------- # 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 0.928 1601 0.644 1602 0.734 1603 0.429 1604 0.542 1605 0.674 1606 0.687 1607 0.713 1608 0.724 1609 0.67 1610 0.758 1611 0.702 1612 0.901 1613 0.982 1614 0.979 1615 1.016 1616 0.972 1617 1.131 1618 0.957 1619 0.949 1620 0.965 1621 0.948 1622 0.904 1623 0.827 1624 1.024 1625 1.095 1626 0.933 1627 0.937 1628 0.998 1629 0.969 1630 0.849 1631 0.825 1632 0.906 1633 0.769 1634 0.963 1635 0.904 1636 1.007 1637 1.015 1638 0.945 1639 1.094 1640 1.332 1641 0.842 1642 0.909 1643 0.802 1644 0.984 1645 1.025 1646 0.841 1647 1.034 1648 1.159 1649 0.982 1650 0.977 1651 1.177 1652 0.945 1653 1.061 1654 1.041 1655 1.264 1656 1.191 1657 1.345 1658 1.121 1659 0.998 1660 1.268 1661 1.103 1662 1.071 1663 1.122 1664 1.215 1665 1.248 1666 1.166 1667 1.062 1668 0.89 1669 0.913 1670 0.817 1671 0.961 1672 1.149 1673 0.985 1674 0.897 1675 0.757 1676 0.775 1677 0.778 1678 0.693 1679 0.672 1680 0.697 1681 0.735 1682 0.68 1683 0.875 1684 0.905 1685 1.003 1686 1.201 1687 1.087 1688 0.959 1689 1.093 1690 1.137 1691 1.055 1692 1.098 1693 1.112 1694 1.089 1695 1.144 1696 0.911 1697 1.086 1698 0.876 1699 0.8 1700 0.91 1701 0.801 1702 0.781 1703 0.912 1704 0.927 1705 0.804 1706 0.744 1707 1.034 1708 0.814 1709 0.863 1710 0.69 1711 0.856 1712 0.783 1713 1.035 1714 1.018 1715 0.896 1716 0.903 1717 1.074 1718 1.022 1719 0.859 1720 1.003 1721 0.756 1722 0.993 1723 0.851 1724 0.864 1725 0.938 1726 0.956 1727 1.031 1728 1.041 1729 1.011 1730 0.809 1731 0.822 1732 1.073 1733 0.826 1734 1.281 1735 0.995 1736 1.162 1737 0.881 1738 1.075 1739 1.02 1740 1.05 1741 0.887 1742 1.0 1743 0.919 1744 1.014 1745 0.94 1746 0.854 1747 0.939 1748 0.903 1749 1.013 1750 0.899 1751 1.19 1752 1.21 1753 1.216 1754 1.03 1755 1.295 1756 1.209 1757 1.284 1758 1.071 1759 1.34 1760 1.061 1761 1.229 1762 1.436 1763 1.357 1764 1.106 1765 1.41 1766 1.327 1767 1.498 1768 1.391 1769 1.407 1770 1.612 1771 1.422 1772 1.337 1773 1.556 1774 1.389 1775 1.461 1776 1.183 1777 1.379 1778 1.253 1779 1.35 1780 1.419 1781 1.737 1782 1.553 1783 1.223 1784 1.503 1785 1.055 1786 1.291 1787 1.049 1788 0.78 1789 0.954 1790 0.995 1791 0.881 1792 0.712 1793 0.76 1794 0.771 1795 0.764 1796 0.624 1797 0.68 1798 0.853 1799 0.824 1800 0.643 1801 0.871 1802 0.76 1803 0.666 1804 0.764 1805 0.73 1806 0.728 1807 0.641 1808 0.887 1809 0.921 1810 0.834 1811 0.947 1812 0.836 1813 0.526 1814 0.634 1815 0.692 1816 0.59 1817 0.536 1818 0.485 1819 0.512 1820 0.556 1821 0.559 1822 0.578 1823 0.821 1824 0.632 1825 0.597 1826 0.659 1827 0.709 1828 0.877 1829 0.873 1830 0.871 1831 0.884 1832 0.822 1833 0.609 1834 0.599 1835 0.543 1836 0.439 1837 0.461 1838 0.37 1839 0.436 1840 0.382 1841 0.5 1842 0.333 1843 0.397 1844 0.453 1845 0.453 1846 0.569 1847 0.612 1848 0.719 1849 0.663 1850 0.524 1851 0.522 1852 0.44 1853 0.406 1854 0.238 1855 0.356 1856 0.47 1857 0.476 1858 0.472 1859 0.467 1860 0.608 1861 0.575 1862 0.547 1863 0.562 1864 0.674 1865 0.598 1866 0.475 1867 0.33 1868 0.424 1869 0.407 1870 0.379 1871 0.483 1872 0.22 1873 0.28 1874 0.33 1875 0.398 1876 0.385 1877 0.477 1878 0.553 1879 0.613 1880 0.641 1881 0.658 1882 0.698 1883 0.7 1884 0.536 1885 0.662 1886 0.584 1887 0.667 1888 0.657 1889 0.689 1890 0.667 1891 0.94 1892 0.835 1893 0.713 1894 0.651 1895 0.685 1896 0.934 1897 0.854 1898 0.844 1899 0.775 1900 0.85 1901 0.829 1902 0.894 1903 0.788 1904 0.677 1905 0.833 1906 0.972 1907 0.994 1908 1.053 1909 1.209 1910 0.958 1911 0.997 1912 1.206 1913 1.0 1914 0.934 1915 0.979 1916 0.923 1917 0.901 1918 0.932 1919 1.023 1920 1.077 1921 1.031 1922 1.225 1923 1.072 1924 1.215 1925 1.132 1926 1.159 1927 1.338 1928 1.281 1929 1.432 1930 1.431 1931 1.399 1932 1.468 1933 1.24 1934 1.217 1935 1.279 1936 1.21 1937 0.856 1938 1.205 1939 1.209 1940 1.185 1941 1.172 1942 1.179 1943 1.256 1944 1.37 1945 1.219 1946 1.547 1947 1.278 1948 1.417 1949 1.34 1950 1.608 1951 1.469 1952 1.408 1953 1.39 1954 1.425 1955 1.401 1956 1.628 1957 1.499 1958 1.486 1959 1.664 1960 1.602 1961 1.215 1962 1.122 1963 1.226 1964 1.206 1965 1.318 1966 1.296 1967 1.403 1968 1.404 1969 1.301 1970 1.25 1971 1.204 1972 1.3 1973 1.249 1974 1.45 1975 1.528 1976 1.673 1977 1.757 1978 1.247 1979 1.291 1980 1.338 1981 1.157 1982 1.296 1983 1.409 1984 1.44 1985 1.437 1986 1.522 1987 1.475 1988 1.417 1989 1.593 1990 1.607 1991 1.612 1992 1.491 1993 1.26 1994 1.462 1995 1.593 1996 1.252 1997 1.298 1998 1.462 1999 1.839