# asia_russ039w - Pinega - 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_russ039w - Pinega - 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: Pinega # Location: # Country: Russia # Northernmost_Latitude: 64.92 # Southernmost_Latitude: 64.92 # Easternmost_Longitude: 42.5 # Westernmost_Longitude: 42.5 # Elevation: 230 m #-------------------- # Data_Collection # Collection_Name: asia_russ039wB # Earliest_Year: 1736 # Most_Recent_Year: 1990 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.51337070705"}{"T2":"19.2188996987"}{"M1":"0.022823301358"}{"M2":"0.317490669609"} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1736 0.936 1737 0.834 1738 0.699 1739 1.004 1740 1.065 1741 1.18 1742 0.985 1743 0.959 1744 0.916 1745 0.968 1746 1.034 1747 1.433 1748 1.378 1749 1.225 1750 0.898 1751 0.768 1752 0.762 1753 0.936 1754 1.244 1755 1.014 1756 1.307 1757 1.464 1758 0.85 1759 1.055 1760 0.946 1761 1.193 1762 1.094 1763 1.388 1764 1.4 1765 1.505 1766 1.293 1767 1.471 1768 1.388 1769 1.426 1770 1.349 1771 1.651 1772 0.977 1773 0.83 1774 0.601 1775 0.734 1776 0.859 1777 0.92 1778 0.861 1779 0.779 1780 1.049 1781 1.408 1782 1.363 1783 1.174 1784 1.223 1785 1.13 1786 1.073 1787 0.966 1788 0.64 1789 0.393 1790 0.556 1791 0.782 1792 0.857 1793 0.801 1794 0.766 1795 0.842 1796 1.067 1797 1.122 1798 1.324 1799 0.985 1800 0.909 1801 0.987 1802 0.835 1803 0.745 1804 0.966 1805 1.139 1806 0.821 1807 0.983 1808 0.973 1809 1.116 1810 0.704 1811 0.898 1812 0.795 1813 0.573 1814 0.762 1815 0.655 1816 0.519 1817 0.38 1818 0.546 1819 0.612 1820 0.608 1821 0.462 1822 0.524 1823 0.795 1824 0.995 1825 1.024 1826 1.109 1827 0.987 1828 1.124 1829 1.448 1830 1.264 1831 1.121 1832 1.088 1833 1.395 1834 1.348 1835 1.235 1836 0.777 1837 0.899 1838 0.821 1839 0.469 1840 0.332 1841 0.394 1842 0.206 1843 0.272 1844 0.333 1845 0.312 1846 0.334 1847 0.465 1848 0.431 1849 0.581 1850 0.658 1851 0.884 1852 0.807 1853 0.977 1854 0.845 1855 1.033 1856 1.141 1857 0.842 1858 0.788 1859 0.717 1860 1.01 1861 1.256 1862 0.97 1863 0.992 1864 1.192 1865 0.994 1866 1.216 1867 1.266 1868 1.263 1869 1.099 1870 0.774 1871 0.736 1872 0.976 1873 1.056 1874 1.118 1875 1.017 1876 0.777 1877 0.841 1878 1.201 1879 0.957 1880 1.043 1881 0.978 1882 0.939 1883 1.205 1884 1.385 1885 1.575 1886 1.093 1887 0.922 1888 1.011 1889 1.301 1890 1.616 1891 1.265 1892 1.453 1893 1.343 1894 1.142 1895 1.023 1896 1.21 1897 0.755 1898 1.116 1899 0.935 1900 1.046 1901 1.225 1902 1.209 1903 0.924 1904 1.292 1905 1.248 1906 1.282 1907 1.282 1908 1.258 1909 1.069 1910 0.976 1911 1.051 1912 0.985 1913 1.171 1914 1.02 1915 1.085 1916 1.099 1917 1.194 1918 0.953 1919 0.946 1920 0.634 1921 0.91 1922 1.13 1923 1.277 1924 1.335 1925 1.627 1926 1.344 1927 1.465 1928 1.108 1929 1.146 1930 0.997 1931 1.265 1932 1.08 1933 1.157 1934 1.312 1935 1.1 1936 1.177 1937 0.997 1938 1.17 1939 1.083 1940 1.135 1941 1.148 1942 1.132 1943 1.121 1944 1.038 1945 1.153 1946 0.938 1947 0.912 1948 1.019 1949 0.959 1950 0.957 1951 1.103 1952 1.108 1953 1.18 1954 1.173 1955 0.915 1956 1.029 1957 0.993 1958 0.878 1959 1.059 1960 0.89 1961 0.845 1962 0.555 1963 0.699 1964 1.042 1965 0.95 1966 0.996 1967 0.626 1968 0.744 1969 0.709 1970 0.949 1971 0.575 1972 0.679 1973 0.618 1974 0.724 1975 0.388 1976 0.57 1977 0.838 1978 0.763 1979 0.946 1980 0.792 1981 0.821 1982 0.674 1983 0.878 1984 0.98 1985 0.794 1986 0.673 1987 0.789 1988 0.785 1989 0.515 1990 0.49