# europe_spai049 - Urbion Quintenar - 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: europe_spai049 - Urbion Quintenar - 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: Urbion Quintenar # Location: # Country: Spain # Northernmost_Latitude: 42.03 # Southernmost_Latitude: 42.03 # Easternmost_Longitude: -3.03 # Westernmost_Longitude: -3.03 # Elevation: 1840 m #-------------------- # Data_Collection # Collection_Name: europe_spai049B # Earliest_Year: 1794 # Most_Recent_Year: 1985 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.15735598567"}{"T2":"17.1336728095"}{"M1":"0.0222887200525"}{"M2":"0.28548770843"} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1794 1.119 1795 0.988 1796 1.004 1797 0.993 1798 1.215 1799 1.129 1800 0.976 1801 0.981 1802 1.03 1803 1.036 1804 0.859 1805 1.124 1806 0.722 1807 1.092 1808 0.773 1809 0.967 1810 1.011 1811 1.161 1812 1.0 1813 1.115 1814 1.329 1815 1.135 1816 0.715 1817 0.858 1818 1.051 1819 1.2 1820 0.917 1821 0.727 1822 1.075 1823 1.315 1824 1.027 1825 1.411 1826 1.144 1827 1.177 1828 1.331 1829 1.482 1830 1.258 1831 1.186 1832 0.952 1833 0.54 1834 0.866 1835 0.982 1836 0.75 1837 1.022 1838 0.966 1839 0.884 1840 0.932 1841 1.039 1842 0.935 1843 0.859 1844 0.629 1845 0.653 1846 0.603 1847 0.439 1848 0.549 1849 0.729 1850 0.716 1851 0.673 1852 0.782 1853 0.715 1854 0.657 1855 0.499 1856 0.338 1857 0.352 1858 0.35 1859 0.596 1860 0.586 1861 0.793 1862 0.754 1863 0.79 1864 1.258 1865 1.145 1866 0.963 1867 0.879 1868 1.066 1869 1.42 1870 1.201 1871 1.164 1872 0.75 1873 0.736 1874 0.858 1875 1.132 1876 1.112 1877 1.331 1878 1.682 1879 1.009 1880 1.066 1881 1.163 1882 1.157 1883 0.962 1884 1.061 1885 1.322 1886 1.094 1887 1.273 1888 1.387 1889 1.276 1890 1.075 1891 1.107 1892 1.483 1893 1.778 1894 1.144 1895 1.053 1896 0.603 1897 0.971 1898 0.96 1899 0.892 1900 0.931 1901 1.221 1902 1.18 1903 1.286 1904 1.398 1905 1.046 1906 0.884 1907 0.883 1908 0.83 1909 0.768 1910 0.86 1911 1.229 1912 0.902 1913 0.953 1914 1.179 1915 1.099 1916 0.989 1917 1.045 1918 1.131 1919 1.26 1920 1.372 1921 1.127 1922 0.848 1923 1.357 1924 1.022 1925 0.976 1926 0.941 1927 1.054 1928 1.087 1929 1.106 1930 1.003 1931 0.853 1932 1.07 1933 1.074 1934 0.698 1935 0.738 1936 0.965 1937 0.88 1938 0.646 1939 0.734 1940 0.839 1941 0.529 1942 0.513 1943 0.838 1944 1.069 1945 1.142 1946 0.78 1947 1.044 1948 1.347 1949 0.977 1950 0.506 1951 0.882 1952 1.007 1953 0.96 1954 0.619 1955 0.897 1956 0.887 1957 0.862 1958 1.228 1959 1.198 1960 1.003 1961 0.887 1962 0.51 1963 0.55 1964 0.917 1965 0.62 1966 0.613 1967 0.564 1968 0.783 1969 0.879 1970 1.086 1971 1.209 1972 0.913 1973 1.299 1974 1.172 1975 1.074 1976 1.276 1977 1.295 1978 1.261 1979 1.18 1980 1.159 1981 1.131 1982 1.048 1983 1.302 1984 1.17 1985 1.377