# southamerica_arge071 - Estancia Collun-co, Cañadon de arriba - 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: southamerica_arge071 - Estancia Collun-co, Cañadon de arriba - 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: Estancia Collun-co, Cañadon de arriba # Location: # Country: Argentina # Northernmost_Latitude: -39.93 # Southernmost_Latitude: -39.93 # Easternmost_Longitude: -71.13 # Westernmost_Longitude: -71.13 # Elevation: 870 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge071B # Earliest_Year: 1734 # Most_Recent_Year: 1989 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"2.73655988098"}{"T2":"12.7558683106"}{"M1":"0.023099958381"}{"M2":"0.594946930545"} #-------------------- # Species # Species_Name: Chilean cedar # Species_Code: AUCH #-------------------- # 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 1734 1.332 1735 1.128 1736 0.724 1737 0.726 1738 0.736 1739 0.833 1740 0.861 1741 0.788 1742 0.893 1743 1.067 1744 1.127 1745 0.948 1746 0.863 1747 1.194 1748 0.928 1749 1.204 1750 1.038 1751 0.919 1752 0.89 1753 0.824 1754 0.829 1755 0.913 1756 1.111 1757 1.219 1758 1.196 1759 0.956 1760 1.114 1761 1.104 1762 0.801 1763 0.915 1764 0.949 1765 0.852 1766 0.957 1767 0.824 1768 0.916 1769 0.91 1770 0.82 1771 0.904 1772 0.782 1773 0.963 1774 1.164 1775 1.339 1776 1.175 1777 1.061 1778 1.283 1779 1.122 1780 1.159 1781 1.219 1782 0.772 1783 0.697 1784 0.974 1785 0.858 1786 0.869 1787 0.844 1788 1.105 1789 1.252 1790 1.228 1791 0.94 1792 0.85 1793 0.805 1794 0.715 1795 1.003 1796 0.902 1797 1.086 1798 1.187 1799 0.892 1800 0.992 1801 1.03 1802 0.877 1803 0.825 1804 0.901 1805 0.824 1806 1.006 1807 0.701 1808 1.058 1809 1.355 1810 1.048 1811 1.327 1812 1.199 1813 0.411 1814 0.7 1815 0.74 1816 0.926 1817 0.852 1818 0.92 1819 0.742 1820 0.598 1821 0.664 1822 0.6 1823 0.891 1824 0.93 1825 0.999 1826 1.075 1827 0.895 1828 1.013 1829 1.062 1830 1.08 1831 0.829 1832 0.937 1833 1.058 1834 1.306 1835 1.067 1836 0.801 1837 0.964 1838 1.048 1839 0.823 1840 0.887 1841 0.591 1842 0.7 1843 1.119 1844 1.206 1845 0.853 1846 0.959 1847 0.814 1848 0.975 1849 0.883 1850 0.866 1851 1.049 1852 1.295 1853 1.171 1854 1.2 1855 1.144 1856 1.1 1857 1.119 1858 0.927 1859 0.668 1860 0.825 1861 0.798 1862 0.799 1863 0.843 1864 0.565 1865 0.558 1866 0.663 1867 0.651 1868 0.966 1869 1.074 1870 0.942 1871 0.74 1872 0.939 1873 1.092 1874 1.108 1875 0.985 1876 1.153 1877 1.022 1878 1.216 1879 1.126 1880 1.083 1881 0.978 1882 0.961 1883 0.774 1884 0.872 1885 0.874 1886 0.972 1887 0.624 1888 0.973 1889 1.023 1890 0.951 1891 1.136 1892 1.178 1893 0.887 1894 1.034 1895 1.147 1896 1.021 1897 1.148 1898 1.445 1899 1.255 1900 1.292 1901 1.408 1902 1.422 1903 1.119 1904 1.274 1905 1.369 1906 1.104 1907 1.225 1908 1.168 1909 0.743 1910 0.88 1911 0.825 1912 0.727 1913 0.557 1914 0.666 1915 0.872 1916 0.989 1917 0.793 1918 1.044 1919 1.016 1920 1.331 1921 1.35 1922 0.968 1923 0.955 1924 1.043 1925 1.127 1926 1.386 1927 1.001 1928 1.13 1929 1.088 1930 1.082 1931 1.198 1932 0.884 1933 1.265 1934 1.016 1935 1.068 1936 1.104 1937 1.042 1938 1.004 1939 1.134 1940 1.241 1941 1.333 1942 1.236 1943 0.692 1944 0.846 1945 1.16 1946 1.499 1947 0.952 1948 0.961 1949 0.913 1950 0.983 1951 1.243 1952 1.068 1953 1.076 1954 1.096 1955 1.035 1956 0.939 1957 0.862 1958 0.745 1959 0.867 1960 0.807 1961 0.897 1962 0.652 1963 0.838 1964 0.877 1965 0.992 1966 1.062 1967 0.88 1968 0.843 1969 0.831 1970 0.982 1971 1.169 1972 1.065 1973 1.133 1974 1.131 1975 0.902 1976 0.911 1977 1.043 1978 0.947 1979 0.746 1980 1.042 1981 1.01 1982 0.938 1983 0.876 1984 1.067 1985 1.005 1986 0.95 1987 0.731 1988 0.832 1989 0.807