# asia_russ060w - Leshukonskoe - 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_russ060w - Leshukonskoe - 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: Leshukonskoe # Location: # Country: Russia # Northernmost_Latitude: 64.92 # Southernmost_Latitude: 64.92 # Easternmost_Longitude: 42.5 # Westernmost_Longitude: 42.5 # Elevation: 70 m #-------------------- # Data_Collection # Collection_Name: asia_russ060wB # Earliest_Year: 1805 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.0459737425"}{"T2":"20.2324752215"}{"M1":"0.0227125453359"}{"M2":"0.273288980004"} #-------------------- # Species # Species_Name: Siberian spruce # Species_Code: PCOB #-------------------- # 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 1805 1.474 1806 0.928 1807 0.939 1808 0.977 1809 1.212 1810 0.991 1811 1.089 1812 1.201 1813 0.857 1814 0.954 1815 0.966 1816 0.846 1817 0.656 1818 0.429 1819 0.386 1820 0.409 1821 0.306 1822 0.461 1823 0.611 1824 0.806 1825 0.871 1826 0.92 1827 0.916 1828 1.473 1829 1.799 1830 1.8 1831 1.353 1832 1.209 1833 1.504 1834 1.198 1835 1.176 1836 0.975 1837 0.935 1838 1.011 1839 1.14 1840 0.648 1841 0.763 1842 0.844 1843 1.159 1844 1.393 1845 1.193 1846 1.203 1847 1.114 1848 0.913 1849 1.122 1850 1.117 1851 1.163 1852 0.874 1853 1.039 1854 0.927 1855 1.078 1856 1.234 1857 1.024 1858 0.901 1859 0.898 1860 1.21 1861 1.308 1862 0.776 1863 0.68 1864 0.865 1865 0.494 1866 0.588 1867 0.502 1868 0.337 1869 0.504 1870 0.494 1871 0.54 1872 0.819 1873 0.838 1874 0.671 1875 0.449 1876 0.424 1877 0.533 1878 0.815 1879 0.732 1880 0.745 1881 0.656 1882 0.495 1883 0.664 1884 0.739 1885 0.779 1886 0.696 1887 0.737 1888 0.426 1889 0.684 1890 0.714 1891 0.538 1892 0.816 1893 0.685 1894 0.548 1895 0.531 1896 0.685 1897 0.525 1898 0.716 1899 0.571 1900 0.741 1901 0.927 1902 0.939 1903 0.564 1904 0.72 1905 0.876 1906 1.173 1907 1.319 1908 1.295 1909 1.058 1910 0.885 1911 1.161 1912 0.939 1913 1.373 1914 1.282 1915 1.286 1916 0.945 1917 1.253 1918 1.161 1919 1.076 1920 0.56 1921 0.736 1922 1.434 1923 1.457 1924 1.389 1925 1.685 1926 1.466 1927 1.655 1928 1.236 1929 1.692 1930 1.328 1931 1.548 1932 1.418 1933 1.72 1934 1.514 1935 1.125 1936 1.157 1937 1.417 1938 1.524 1939 1.291 1940 1.531 1941 0.962 1942 1.036 1943 1.054 1944 0.965 1945 1.13 1946 1.037 1947 1.043 1948 1.189 1949 1.114 1950 0.999 1951 1.262 1952 1.326 1953 1.579 1954 1.441 1955 0.933 1956 1.026 1957 1.182 1958 0.695 1959 1.123 1960 0.922 1961 0.774 1962 0.539 1963 0.737 1964 0.979 1965 0.885 1966 1.008 1967 0.57 1968 0.814 1969 0.792 1970 0.866 1971 0.615 1972 0.606 1973 0.747 1974 0.773 1975 0.438 1976 0.854 1977 0.972 1978 0.88 1979 1.049 1980 0.794 1981 0.839 1982 0.428 1983 0.765 1984 0.81 1985 0.645 1986 0.71 1987 0.83 1988 0.777 1989 0.65 1990 0.459 1991 0.852