# asia_russ094w - Ayakli River A - 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_russ094w - Ayakli River A - 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: Ayakli River A # Location: # Country: Russia # Northernmost_Latitude: 69.53 # Southernmost_Latitude: 69.53 # Easternmost_Longitude: 97.53 # Westernmost_Longitude: 97.53 # Elevation: 550 m #-------------------- # Data_Collection # Collection_Name: asia_russ094wB # Earliest_Year: 1642 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"2.8886961008"}{"T2":"14.8886206748"}{"M1":"0.0228609513479"}{"M2":"0.5142737859"} #-------------------- # Species # Species_Name: Dahurian larch # Species_Code: LAGM #-------------------- # 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 1642 0.472 1643 0.321 1644 0.356 1645 0.968 1646 0.804 1647 0.278 1648 1.012 1649 1.249 1650 0.907 1651 0.825 1652 1.352 1653 1.195 1654 1.321 1655 1.148 1656 1.344 1657 0.625 1658 0.81 1659 0.982 1660 0.922 1661 0.91 1662 0.955 1663 0.851 1664 1.112 1665 1.066 1666 1.489 1667 1.254 1668 1.485 1669 1.578 1670 0.871 1671 1.202 1672 1.089 1673 1.343 1674 0.398 1675 0.558 1676 0.904 1677 0.898 1678 0.959 1679 0.815 1680 0.835 1681 0.445 1682 0.572 1683 0.806 1684 0.947 1685 0.651 1686 1.276 1687 1.337 1688 0.534 1689 1.361 1690 1.226 1691 1.16 1692 1.11 1693 1.402 1694 0.682 1695 1.491 1696 0.542 1697 0.948 1698 1.098 1699 0.719 1700 0.943 1701 0.879 1702 0.716 1703 0.864 1704 0.844 1705 1.489 1706 0.862 1707 1.545 1708 0.682 1709 1.386 1710 1.209 1711 0.63 1712 0.801 1713 1.527 1714 1.24 1715 1.725 1716 1.285 1717 1.676 1718 1.012 1719 1.48 1720 1.282 1721 1.385 1722 1.304 1723 1.033 1724 1.11 1725 1.556 1726 0.765 1727 1.867 1728 0.911 1729 1.553 1730 1.444 1731 0.759 1732 0.759 1733 1.124 1734 0.781 1735 0.758 1736 0.634 1737 1.218 1738 0.361 1739 1.153 1740 1.173 1741 0.607 1742 0.189 1743 1.024 1744 1.085 1745 0.901 1746 0.58 1747 1.242 1748 1.269 1749 1.095 1750 0.962 1751 1.052 1752 1.243 1753 0.39 1754 0.502 1755 0.617 1756 1.012 1757 1.104 1758 0.82 1759 0.206 1760 0.337 1761 0.597 1762 0.918 1763 0.807 1764 0.918 1765 1.235 1766 1.326 1767 1.34 1768 0.435 1769 1.373 1770 0.827 1771 1.202 1772 0.962 1773 0.49 1774 0.612 1775 1.129 1776 1.021 1777 1.778 1778 1.397 1779 0.901 1780 0.843 1781 0.925 1782 1.186 1783 0.862 1784 1.201 1785 1.267 1786 1.061 1787 1.461 1788 0.688 1789 1.068 1790 1.386 1791 0.954 1792 0.896 1793 1.343 1794 1.999 1795 1.019 1796 1.14 1797 0.851 1798 0.737 1799 1.29 1800 0.381 1801 0.428 1802 0.332 1803 0.521 1804 0.976 1805 0.655 1806 0.928 1807 0.17 1808 0.817 1809 0.769 1810 0.706 1811 0.606 1812 0.509 1813 0.632 1814 0.944 1815 0.607 1816 0.894 1817 1.086 1818 0.95 1819 0.267 1820 0.572 1821 0.993 1822 1.272 1823 0.774 1824 0.684 1825 0.197 1826 0.445 1827 1.334 1828 0.648 1829 0.959 1830 0.118 1831 0.917 1832 0.356 1833 0.12 1834 0.605 1835 0.654 1836 0.406 1837 0.775 1838 0.705 1839 1.025 1840 1.326 1841 0.965 1842 1.323 1843 0.47 1844 1.099 1845 0.86 1846 0.349 1847 1.01 1848 1.252 1849 0.665 1850 1.081 1851 0.847 1852 1.14 1853 1.201 1854 0.874 1855 0.596 1856 1.126 1857 1.216 1858 1.041 1859 0.818 1860 1.506 1861 1.47 1862 1.317 1863 1.346 1864 1.538 1865 1.136 1866 1.0 1867 0.197 1868 1.332 1869 0.292 1870 1.059 1871 0.982 1872 1.306 1873 0.738 1874 0.994 1875 1.515 1876 0.592 1877 1.556 1878 0.652 1879 1.493 1880 1.455 1881 1.033 1882 0.981 1883 0.963 1884 0.825 1885 0.783 1886 0.679 1887 0.669 1888 0.914 1889 0.622 1890 0.198 1891 0.989 1892 0.918 1893 0.374 1894 0.927 1895 0.585 1896 1.284 1897 1.018 1898 0.505 1899 0.395 1900 0.241 1901 0.54 1902 0.445 1903 0.312 1904 0.692 1905 0.517 1906 0.935 1907 0.311 1908 1.473 1909 0.729 1910 0.31 1911 0.321 1912 0.669 1913 0.665 1914 0.907 1915 1.21 1916 0.971 1917 0.722 1918 1.026 1919 0.426 1920 0.871 1921 0.453 1922 0.908 1923 0.948 1924 1.018 1925 0.354 1926 1.066 1927 0.563 1928 1.191 1929 0.726 1930 0.897 1931 1.112 1932 0.909 1933 0.854 1934 1.472 1935 1.122 1936 1.412 1937 0.969 1938 1.543 1939 1.791 1940 2.299 1941 2.511 1942 2.26 1943 2.356 1944 1.212 1945 2.355 1946 2.258 1947 1.414 1948 1.293 1949 0.116 1950 1.017 1951 0.365 1952 1.135 1953 1.249 1954 1.519 1955 1.47 1956 1.283 1957 1.235 1958 1.158 1959 1.803 1960 1.424 1961 1.658 1962 1.874 1963 1.429 1964 1.877 1965 1.038 1966 0.951 1967 1.636 1968 0.795 1969 1.106 1970 0.972 1971 1.087 1972 1.342 1973 0.509 1974 0.501 1975 1.173 1976 1.127 1977 0.628 1978 0.832 1979 1.137 1980 0.313 1981 0.671 1982 0.877 1983 1.245 1984 1.537 1985 1.081 1986 1.378 1987 0.576 1988 0.869 1989 0.188 1990 0.851