# southamerica_arge074 - Cerro La Hormiga Estancia Collun-co - 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_arge074 - Cerro La Hormiga Estancia Collun-co - 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 La Hormiga Estancia Collun-co # Location: # Country: Argentina # Northernmost_Latitude: -40.05 # Southernmost_Latitude: -40.05 # Easternmost_Longitude: -71.28 # Westernmost_Longitude: -71.28 # Elevation: 920 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge074B # Earliest_Year: 1695 # Most_Recent_Year: 1989 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"2.71524982795"}{"T2":"12.0417352494"}{"M1":"0.022778180759"}{"M2":"0.6091355904"} #-------------------- # 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 1695 0.84 1696 0.948 1697 1.268 1698 1.115 1699 1.001 1700 1.231 1701 1.2 1702 1.098 1703 1.619 1704 1.678 1705 1.019 1706 0.81 1707 1.285 1708 1.461 1709 1.158 1710 0.871 1711 1.217 1712 0.888 1713 0.945 1714 0.891 1715 0.985 1716 0.887 1717 0.776 1718 0.789 1719 1.029 1720 1.229 1721 1.0 1722 0.733 1723 1.052 1724 1.399 1725 0.933 1726 0.647 1727 0.736 1728 1.167 1729 0.809 1730 0.705 1731 1.09 1732 1.158 1733 1.0 1734 0.889 1735 0.869 1736 0.743 1737 0.7 1738 0.503 1739 0.947 1740 1.194 1741 1.229 1742 1.197 1743 0.874 1744 1.096 1745 0.642 1746 0.425 1747 0.478 1748 0.777 1749 0.965 1750 0.88 1751 0.752 1752 0.737 1753 0.845 1754 0.739 1755 0.824 1756 0.913 1757 0.798 1758 0.885 1759 0.806 1760 0.89 1761 0.963 1762 0.46 1763 1.007 1764 1.004 1765 0.738 1766 1.133 1767 0.636 1768 0.827 1769 0.719 1770 0.559 1771 0.812 1772 0.767 1773 0.888 1774 1.096 1775 1.231 1776 0.993 1777 0.977 1778 0.86 1779 0.688 1780 0.863 1781 1.047 1782 0.799 1783 0.874 1784 1.218 1785 0.898 1786 0.834 1787 0.905 1788 1.109 1789 1.296 1790 1.263 1791 1.011 1792 0.901 1793 0.902 1794 0.847 1795 0.679 1796 0.653 1797 0.835 1798 0.81 1799 0.557 1800 0.915 1801 0.72 1802 0.654 1803 0.765 1804 0.984 1805 0.792 1806 1.036 1807 1.015 1808 1.418 1809 1.675 1810 1.464 1811 1.621 1812 1.455 1813 0.549 1814 0.707 1815 0.754 1816 0.864 1817 0.863 1818 0.703 1819 0.619 1820 0.506 1821 0.489 1822 0.742 1823 0.851 1824 0.802 1825 0.908 1826 0.853 1827 0.823 1828 0.928 1829 1.137 1830 1.067 1831 0.93 1832 0.739 1833 0.915 1834 1.008 1835 0.901 1836 0.582 1837 0.962 1838 1.002 1839 0.547 1840 0.706 1841 0.599 1842 0.789 1843 0.972 1844 1.013 1845 0.386 1846 0.754 1847 0.647 1848 0.911 1849 0.997 1850 0.87 1851 0.713 1852 1.262 1853 1.171 1854 0.878 1855 1.421 1856 1.669 1857 1.705 1858 1.312 1859 0.982 1860 1.129 1861 0.807 1862 0.906 1863 1.185 1864 0.799 1865 0.629 1866 0.982 1867 1.037 1868 1.291 1869 1.261 1870 1.567 1871 1.194 1872 1.322 1873 1.235 1874 1.162 1875 1.123 1876 1.221 1877 0.585 1878 1.136 1879 1.394 1880 1.06 1881 0.869 1882 0.793 1883 0.764 1884 0.793 1885 0.917 1886 0.843 1887 0.743 1888 0.998 1889 1.124 1890 1.084 1891 1.021 1892 1.204 1893 0.527 1894 1.102 1895 0.9 1896 0.831 1897 1.01 1898 1.451 1899 1.146 1900 0.914 1901 0.685 1902 0.862 1903 0.913 1904 0.837 1905 1.083 1906 0.753 1907 0.921 1908 0.869 1909 0.833 1910 0.932 1911 0.709 1912 0.921 1913 0.449 1914 0.58 1915 0.829 1916 0.971 1917 0.753 1918 0.96 1919 0.794 1920 1.363 1921 1.521 1922 0.984 1923 0.771 1924 0.812 1925 1.304 1926 1.387 1927 0.988 1928 1.402 1929 1.343 1930 1.589 1931 1.188 1932 0.725 1933 1.325 1934 0.836 1935 0.94 1936 1.339 1937 0.875 1938 1.082 1939 0.857 1940 1.114 1941 1.295 1942 0.992 1943 0.396 1944 0.514 1945 1.183 1946 1.437 1947 0.858 1948 0.866 1949 0.642 1950 0.768 1951 1.157 1952 0.687 1953 0.728 1954 0.742 1955 1.238 1956 0.988 1957 0.619 1958 0.733 1959 0.692 1960 0.86 1961 0.953 1962 0.6 1963 0.769 1964 1.284 1965 1.272 1966 1.633 1967 1.13 1968 1.221 1969 0.973 1970 1.303 1971 1.478 1972 1.108 1973 1.471 1974 1.449 1975 1.76 1976 1.404 1977 1.178 1978 0.569 1979 0.561 1980 0.99 1981 0.837 1982 0.547 1983 0.525 1984 0.797 1985 0.924 1986 0.729 1987 0.608 1988 0.703 1989 0.695