# southamerica_arge089 - Río Horqueta - 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_arge089 - Río Horqueta - 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: Río Horqueta # Location: # Country: Argentina # Northernmost_Latitude: -41.83 # Southernmost_Latitude: -41.83 # Easternmost_Longitude: -71.77 # Westernmost_Longitude: -71.77 # Elevation: 950 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge089B # Earliest_Year: 1600 # Most_Recent_Year: 1993 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"2.82712427908"}{"T2":"12.1250842646"}{"M1":"0.0223376102608"}{"M2":"0.589782178961"} #-------------------- # Species # Species_Name: alerce cypress # Species_Code: FICU #-------------------- # 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 1600 0.739 1601 1.006 1602 1.052 1603 1.107 1604 0.795 1605 0.887 1606 1.203 1607 0.972 1608 0.796 1609 1.392 1610 1.188 1611 1.146 1612 0.813 1613 1.064 1614 1.199 1615 1.187 1616 1.025 1617 1.026 1618 1.12 1619 1.153 1620 1.509 1621 1.203 1622 1.115 1623 1.117 1624 1.103 1625 1.298 1626 1.006 1627 0.868 1628 1.116 1629 1.04 1630 1.268 1631 1.069 1632 0.79 1633 1.109 1634 0.929 1635 0.968 1636 1.251 1637 1.192 1638 1.245 1639 0.97 1640 0.988 1641 1.141 1642 1.117 1643 1.09 1644 1.7 1645 1.401 1646 1.152 1647 1.145 1648 1.243 1649 1.423 1650 1.12 1651 0.887 1652 1.086 1653 0.767 1654 1.285 1655 0.854 1656 0.973 1657 0.909 1658 1.081 1659 1.141 1660 0.968 1661 0.922 1662 1.008 1663 1.207 1664 0.921 1665 0.454 1666 0.577 1667 0.796 1668 0.591 1669 0.643 1670 0.424 1671 0.719 1672 0.794 1673 0.694 1674 0.614 1675 0.798 1676 0.663 1677 0.874 1678 0.925 1679 0.841 1680 0.925 1681 1.12 1682 1.113 1683 1.082 1684 1.249 1685 0.996 1686 0.789 1687 1.041 1688 0.826 1689 0.693 1690 0.784 1691 1.116 1692 1.125 1693 0.507 1694 1.021 1695 0.701 1696 0.722 1697 0.836 1698 0.774 1699 0.424 1700 0.47 1701 0.583 1702 0.668 1703 0.818 1704 0.931 1705 1.161 1706 1.102 1707 1.13 1708 1.198 1709 1.291 1710 1.032 1711 1.078 1712 1.046 1713 1.339 1714 1.234 1715 1.193 1716 1.18 1717 1.108 1718 0.506 1719 0.706 1720 0.925 1721 0.829 1722 0.834 1723 0.88 1724 0.762 1725 1.039 1726 0.984 1727 1.045 1728 1.214 1729 1.046 1730 1.167 1731 1.198 1732 1.263 1733 1.034 1734 0.747 1735 1.309 1736 1.349 1737 0.776 1738 0.814 1739 1.052 1740 1.027 1741 1.023 1742 0.837 1743 0.811 1744 0.816 1745 0.746 1746 0.825 1747 0.67 1748 0.462 1749 0.763 1750 0.769 1751 0.579 1752 0.77 1753 0.933 1754 1.01 1755 0.478 1756 0.639 1757 0.957 1758 0.942 1759 1.07 1760 0.899 1761 0.997 1762 0.975 1763 1.007 1764 1.134 1765 0.903 1766 0.661 1767 0.817 1768 0.723 1769 0.644 1770 0.501 1771 0.574 1772 0.438 1773 0.552 1774 0.815 1775 0.663 1776 0.634 1777 0.615 1778 0.999 1779 0.651 1780 0.967 1781 0.985 1782 0.947 1783 0.949 1784 1.151 1785 0.987 1786 0.977 1787 1.161 1788 1.077 1789 1.032 1790 1.058 1791 0.871 1792 0.753 1793 0.885 1794 0.981 1795 0.941 1796 0.993 1797 1.261 1798 1.046 1799 1.084 1800 1.275 1801 1.478 1802 1.431 1803 1.424 1804 1.174 1805 1.041 1806 1.244 1807 1.013 1808 1.33 1809 1.221 1810 1.06 1811 0.834 1812 0.921 1813 0.866 1814 0.68 1815 0.488 1816 0.713 1817 0.825 1818 0.602 1819 0.593 1820 0.674 1821 0.467 1822 0.81 1823 1.003 1824 0.476 1825 0.431 1826 0.787 1827 0.892 1828 1.084 1829 1.2 1830 0.886 1831 1.136 1832 1.328 1833 0.721 1834 0.795 1835 1.144 1836 0.991 1837 1.029 1838 1.167 1839 0.976 1840 0.613 1841 0.692 1842 0.987 1843 0.574 1844 0.777 1845 0.728 1846 0.872 1847 0.953 1848 0.926 1849 1.326 1850 0.859 1851 0.318 1852 0.551 1853 0.806 1854 0.803 1855 0.835 1856 1.029 1857 0.962 1858 0.974 1859 0.821 1860 0.681 1861 1.073 1862 0.891 1863 1.186 1864 1.111 1865 0.774 1866 0.917 1867 0.892 1868 1.295 1869 1.055 1870 1.225 1871 0.836 1872 1.134 1873 1.178 1874 0.985 1875 1.3 1876 1.201 1877 0.532 1878 0.828 1879 0.751 1880 0.952 1881 0.809 1882 0.773 1883 0.726 1884 1.106 1885 0.893 1886 1.115 1887 1.06 1888 0.861 1889 1.081 1890 1.015 1891 1.033 1892 1.073 1893 1.125 1894 1.2 1895 1.167 1896 1.414 1897 0.721 1898 0.865 1899 0.924 1900 0.884 1901 1.105 1902 1.094 1903 1.281 1904 1.444 1905 1.222 1906 0.992 1907 1.21 1908 1.235 1909 1.188 1910 1.248 1911 0.989 1912 1.118 1913 1.23 1914 0.946 1915 0.986 1916 0.986 1917 1.317 1918 1.002 1919 0.573 1920 0.811 1921 1.097 1922 1.219 1923 0.863 1924 1.231 1925 1.169 1926 1.362 1927 0.796 1928 1.108 1929 1.443 1930 1.204 1931 1.1 1932 1.227 1933 1.235 1934 1.232 1935 1.422 1936 0.886 1937 0.999 1938 0.983 1939 1.171 1940 0.92 1941 1.191 1942 1.02 1943 0.897 1944 0.778 1945 0.97 1946 1.081 1947 1.171 1948 1.077 1949 0.965 1950 1.178 1951 0.983 1952 0.932 1953 0.926 1954 0.97 1955 0.604 1956 0.905 1957 0.67 1958 0.877 1959 0.937 1960 0.468 1961 0.592 1962 0.793 1963 0.859 1964 0.989 1965 0.79 1966 1.016 1967 0.863 1968 1.138 1969 0.995 1970 1.019 1971 1.143 1972 1.175 1973 0.88 1974 1.28 1975 0.793 1976 1.23 1977 1.403 1978 0.942 1979 1.061 1980 1.224 1981 1.147 1982 1.008 1983 0.909 1984 0.924 1985 1.174 1986 1.021 1987 1.081 1988 0.777 1989 0.866 1990 0.961 1991 0.855 1992 0.492 1993 0.798