# asia_russ063w - Ayandina River - 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_russ063w - Ayandina River - 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: Ayandina River # Location: # Country: Russia # Northernmost_Latitude: 68.42 # Southernmost_Latitude: 68.42 # Easternmost_Longitude: 143.17 # Westernmost_Longitude: 143.17 # Elevation: 45 m #-------------------- # Data_Collection # Collection_Name: asia_russ063wB # Earliest_Year: 1724 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"5.00420681697"}{"T2":"16.7249040266"}{"M1":"0.0225698713742"}{"M2":"0.447677538034"} #-------------------- # 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 1724 0.585 1725 0.636 1726 0.866 1727 0.941 1728 0.598 1729 1.085 1730 0.744 1731 0.185 1732 0.72 1733 0.842 1734 0.916 1735 1.019 1736 0.727 1737 0.524 1738 0.624 1739 1.04 1740 0.853 1741 0.732 1742 0.83 1743 0.649 1744 0.562 1745 0.813 1746 0.892 1747 1.136 1748 0.858 1749 1.011 1750 1.012 1751 1.087 1752 1.617 1753 1.321 1754 1.095 1755 1.169 1756 0.979 1757 1.327 1758 1.295 1759 1.221 1760 1.268 1761 1.113 1762 0.816 1763 1.123 1764 0.808 1765 1.437 1766 0.941 1767 0.784 1768 1.081 1769 1.512 1770 0.673 1771 0.73 1772 0.66 1773 1.075 1774 1.213 1775 0.95 1776 1.167 1777 1.195 1778 1.306 1779 0.963 1780 0.957 1781 0.982 1782 1.756 1783 1.672 1784 1.043 1785 1.056 1786 1.18 1787 1.359 1788 0.743 1789 1.824 1790 1.586 1791 1.169 1792 1.276 1793 0.982 1794 1.097 1795 1.262 1796 0.704 1797 0.763 1798 0.964 1799 0.754 1800 0.762 1801 0.364 1802 1.036 1803 0.789 1804 0.972 1805 1.365 1806 1.193 1807 1.375 1808 1.487 1809 1.314 1810 1.143 1811 0.659 1812 0.643 1813 0.604 1814 0.631 1815 0.804 1816 0.753 1817 0.57 1818 0.371 1819 0.76 1820 0.698 1821 0.944 1822 0.355 1823 0.545 1824 0.657 1825 0.704 1826 0.729 1827 0.396 1828 0.714 1829 0.835 1830 1.039 1831 1.198 1832 1.132 1833 1.513 1834 1.552 1835 1.638 1836 1.817 1837 1.16 1838 1.135 1839 0.643 1840 0.905 1841 0.897 1842 0.765 1843 0.854 1844 1.02 1845 1.171 1846 0.788 1847 1.101 1848 0.903 1849 1.01 1850 0.82 1851 0.694 1852 0.815 1853 1.003 1854 0.892 1855 0.831 1856 0.679 1857 0.729 1858 0.869 1859 0.577 1860 0.559 1861 0.772 1862 0.52 1863 0.259 1864 1.117 1865 0.697 1866 0.746 1867 0.862 1868 0.629 1869 0.835 1870 1.364 1871 1.273 1872 1.324 1873 1.508 1874 1.231 1875 0.858 1876 1.452 1877 0.758 1878 1.254 1879 1.107 1880 1.249 1881 0.9 1882 0.621 1883 1.287 1884 0.75 1885 0.696 1886 0.803 1887 0.903 1888 0.785 1889 0.809 1890 1.111 1891 1.063 1892 0.901 1893 1.362 1894 1.472 1895 0.956 1896 0.687 1897 0.986 1898 1.298 1899 1.252 1900 0.81 1901 1.21 1902 1.094 1903 0.992 1904 1.113 1905 0.833 1906 1.103 1907 1.053 1908 0.707 1909 0.924 1910 0.979 1911 1.081 1912 1.284 1913 1.314 1914 1.157 1915 0.901 1916 1.055 1917 1.001 1918 0.478 1919 0.847 1920 0.421 1921 0.9 1922 0.779 1923 0.641 1924 0.887 1925 0.862 1926 0.776 1927 0.785 1928 0.779 1929 0.942 1930 1.106 1931 0.712 1932 0.837 1933 0.945 1934 1.062 1935 1.247 1936 1.202 1937 0.956 1938 1.506 1939 1.56 1940 1.555 1941 0.864 1942 1.134 1943 1.504 1944 1.503 1945 1.126 1946 1.175 1947 1.094 1948 1.175 1949 0.796 1950 1.238 1951 1.569 1952 1.186 1953 1.123 1954 1.3 1955 1.403 1956 0.901 1957 0.814 1958 1.067 1959 0.83 1960 1.227 1961 0.944 1962 0.638 1963 0.79 1964 0.877 1965 1.2 1966 0.766 1967 0.72 1968 1.125 1969 1.031 1970 1.136 1971 1.03 1972 0.387 1973 0.996 1974 0.691 1975 0.809 1976 0.962 1977 1.111 1978 1.177 1979 0.759 1980 0.654 1981 0.906 1982 0.851 1983 0.759 1984 0.461 1985 1.034 1986 0.941 1987 0.753 1988 0.767 1989 1.187 1990 1.262 1991 0.724