# southamerica_arge075 - Cerro Los Leones Recollection - 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_arge075 - Cerro Los Leones Recollection - 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: Cerro Los Leones Recollection # Location: # Country: Argentina # Northernmost_Latitude: -41.08 # Southernmost_Latitude: -41.08 # Easternmost_Longitude: -71.15 # Westernmost_Longitude: -71.15 # Elevation: 1020 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge075B # Earliest_Year: 1657 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"2.24759281308"}{"T2":"11.9107184582"}{"M1":"0.0231052472109"}{"M2":"0.598670952853"} #-------------------- # 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 1657 1.282 1658 1.432 1659 1.374 1660 1.105 1661 0.941 1662 1.047 1663 0.985 1664 0.854 1665 0.859 1666 0.916 1667 0.856 1668 0.97 1669 0.93 1670 0.926 1671 1.026 1672 0.914 1673 0.949 1674 1.151 1675 1.406 1676 1.109 1677 1.126 1678 1.071 1679 1.371 1680 1.084 1681 0.775 1682 0.609 1683 0.612 1684 0.968 1685 1.05 1686 0.9 1687 1.022 1688 1.125 1689 1.954 1690 1.241 1691 1.136 1692 1.263 1693 0.743 1694 0.933 1695 0.887 1696 0.965 1697 0.626 1698 0.925 1699 0.941 1700 0.769 1701 0.796 1702 0.878 1703 1.038 1704 1.361 1705 0.978 1706 0.95 1707 1.246 1708 1.415 1709 1.283 1710 1.013 1711 1.112 1712 1.283 1713 1.243 1714 1.039 1715 1.074 1716 0.979 1717 0.992 1718 0.876 1719 1.035 1720 1.219 1721 0.906 1722 1.048 1723 1.049 1724 1.604 1725 1.724 1726 1.509 1727 1.372 1728 1.532 1729 1.286 1730 1.129 1731 1.197 1732 1.133 1733 1.099 1734 1.022 1735 0.901 1736 0.902 1737 0.806 1738 0.801 1739 0.953 1740 1.018 1741 1.144 1742 1.046 1743 0.945 1744 1.036 1745 0.79 1746 0.743 1747 0.953 1748 1.05 1749 1.188 1750 1.087 1751 0.853 1752 0.754 1753 0.797 1754 0.788 1755 0.848 1756 1.13 1757 1.053 1758 0.928 1759 1.021 1760 1.303 1761 1.257 1762 0.884 1763 1.024 1764 1.035 1765 0.901 1766 0.936 1767 0.735 1768 0.8 1769 0.842 1770 0.844 1771 1.065 1772 0.98 1773 1.039 1774 1.101 1775 1.097 1776 1.102 1777 1.076 1778 1.096 1779 0.961 1780 0.983 1781 1.145 1782 1.015 1783 0.898 1784 1.057 1785 0.868 1786 0.87 1787 0.892 1788 1.076 1789 1.046 1790 1.282 1791 1.293 1792 1.1 1793 0.883 1794 0.875 1795 0.845 1796 0.819 1797 1.185 1798 0.993 1799 0.762 1800 0.919 1801 0.849 1802 0.738 1803 0.834 1804 0.778 1805 0.825 1806 0.738 1807 0.693 1808 1.016 1809 1.021 1810 1.021 1811 0.989 1812 0.961 1813 0.335 1814 0.636 1815 0.658 1816 0.94 1817 0.834 1818 0.741 1819 0.649 1820 0.585 1821 0.46 1822 0.667 1823 0.732 1824 0.714 1825 0.838 1826 0.784 1827 0.583 1828 0.68 1829 0.924 1830 0.975 1831 0.97 1832 1.013 1833 1.028 1834 1.092 1835 0.902 1836 0.853 1837 1.041 1838 1.008 1839 0.946 1840 1.06 1841 0.817 1842 0.868 1843 1.137 1844 1.072 1845 0.764 1846 0.927 1847 0.909 1848 1.085 1849 0.954 1850 0.971 1851 0.821 1852 1.165 1853 1.006 1854 0.912 1855 0.985 1856 1.02 1857 1.082 1858 0.963 1859 0.927 1860 0.942 1861 0.82 1862 0.913 1863 1.289 1864 1.018 1865 0.791 1866 0.863 1867 0.842 1868 1.205 1869 1.211 1870 1.221 1871 0.981 1872 1.129 1873 1.053 1874 1.151 1875 0.859 1876 1.04 1877 0.657 1878 1.159 1879 1.262 1880 1.002 1881 0.833 1882 0.945 1883 0.856 1884 0.923 1885 0.796 1886 0.891 1887 0.876 1888 1.073 1889 1.202 1890 1.125 1891 0.98 1892 1.052 1893 0.71 1894 0.831 1895 0.812 1896 0.812 1897 0.711 1898 1.065 1899 0.867 1900 0.858 1901 0.806 1902 0.838 1903 0.746 1904 0.808 1905 0.872 1906 0.974 1907 1.011 1908 0.39 1909 0.61 1910 0.887 1911 0.743 1912 0.762 1913 0.737 1914 0.843 1915 0.987 1916 1.018 1917 0.833 1918 1.096 1919 0.77 1920 1.153 1921 1.096 1922 0.884 1923 0.703 1924 0.681 1925 1.035 1926 1.303 1927 1.029 1928 1.205 1929 1.115 1930 1.175 1931 1.072 1932 1.127 1933 1.295 1934 1.217 1935 1.475 1936 1.504 1937 1.293 1938 1.624 1939 1.558 1940 1.492 1941 1.814 1942 1.304 1943 0.813 1944 1.032 1945 1.547 1946 1.462 1947 1.22 1948 1.225 1949 1.09 1950 0.975 1951 1.206 1952 1.15 1953 1.105 1954 1.173 1955 1.378 1956 1.051 1957 0.651 1958 0.907 1959 0.96 1960 0.895 1961 0.853 1962 0.591 1963 0.824 1964 0.959 1965 1.0 1966 0.898 1967 0.87 1968 0.685 1969 0.847 1970 0.871 1971 0.971 1972 0.964 1973 1.089 1974 1.248 1975 1.207 1976 0.818 1977 1.136 1978 0.969 1979 0.967 1980 1.347 1981 1.07 1982 1.302 1983 1.232 1984 1.399 1985 1.208 1986 1.123 1987 1.157 1988 0.96 1989 0.844 1990 0.919 1991 1.158