# southamerica_arge021 - Huinganco - 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_arge021 - Huinganco - 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: Huinganco # Location: # Country: Argentina # Northernmost_Latitude: -37.07 # Southernmost_Latitude: -37.07 # Easternmost_Longitude: -70.6 # Westernmost_Longitude: -70.6 # Elevation: 1400 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge021B # Earliest_Year: 1610 # Most_Recent_Year: 1975 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.10808645265"}{"T2":"16.0355491487"}{"M1":"0.023290709694"}{"M2":"0.486882304779"} #-------------------- # 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 1610 0.85 1611 0.861 1612 0.657 1613 0.859 1614 0.825 1615 0.893 1616 1.014 1617 0.922 1618 0.901 1619 1.089 1620 0.987 1621 1.001 1622 0.715 1623 0.916 1624 0.752 1625 0.739 1626 0.955 1627 1.127 1628 1.231 1629 1.411 1630 1.67 1631 1.407 1632 1.713 1633 1.218 1634 1.42 1635 1.68 1636 1.391 1637 1.173 1638 1.243 1639 1.015 1640 0.857 1641 0.651 1642 0.878 1643 0.727 1644 0.831 1645 0.661 1646 0.427 1647 0.652 1648 0.71 1649 0.659 1650 0.427 1651 0.615 1652 0.996 1653 1.162 1654 1.185 1655 0.959 1656 0.886 1657 1.127 1658 1.312 1659 1.425 1660 1.185 1661 0.998 1662 0.814 1663 0.896 1664 0.735 1665 0.857 1666 0.866 1667 0.732 1668 0.795 1669 0.838 1670 1.136 1671 0.855 1672 0.894 1673 0.869 1674 0.754 1675 1.574 1676 1.758 1677 1.35 1678 0.956 1679 0.758 1680 0.816 1681 0.92 1682 0.765 1683 0.924 1684 0.981 1685 0.734 1686 0.793 1687 1.014 1688 0.88 1689 1.055 1690 1.02 1691 1.075 1692 0.961 1693 0.903 1694 1.163 1695 1.015 1696 0.84 1697 0.744 1698 0.651 1699 0.684 1700 0.629 1701 0.879 1702 0.88 1703 1.039 1704 0.861 1705 0.424 1706 0.599 1707 0.66 1708 0.797 1709 0.704 1710 0.797 1711 0.743 1712 0.848 1713 0.891 1714 0.942 1715 0.716 1716 0.806 1717 1.051 1718 0.954 1719 0.767 1720 1.149 1721 1.157 1722 0.897 1723 0.964 1724 1.257 1725 0.933 1726 0.695 1727 0.717 1728 0.892 1729 0.818 1730 0.845 1731 1.094 1732 1.295 1733 1.004 1734 0.999 1735 1.122 1736 0.948 1737 0.401 1738 0.79 1739 1.359 1740 1.32 1741 1.125 1742 1.115 1743 0.732 1744 0.723 1745 0.804 1746 0.665 1747 0.799 1748 1.003 1749 1.3 1750 0.969 1751 0.986 1752 0.722 1753 0.646 1754 0.807 1755 0.846 1756 1.128 1757 0.965 1758 0.702 1759 0.687 1760 0.978 1761 0.861 1762 0.568 1763 0.684 1764 0.505 1765 0.931 1766 1.066 1767 0.986 1768 0.626 1769 0.542 1770 0.634 1771 0.66 1772 0.691 1773 0.934 1774 0.809 1775 0.707 1776 0.732 1777 0.84 1778 0.913 1779 0.486 1780 0.597 1781 0.546 1782 0.458 1783 0.494 1784 0.683 1785 0.744 1786 0.831 1787 0.61 1788 0.689 1789 0.977 1790 1.21 1791 0.781 1792 0.921 1793 0.822 1794 0.806 1795 0.768 1796 1.154 1797 1.137 1798 1.064 1799 0.975 1800 1.233 1801 1.337 1802 0.766 1803 0.848 1804 1.104 1805 0.808 1806 0.884 1807 0.858 1808 0.86 1809 1.217 1810 1.036 1811 0.995 1812 0.853 1813 0.821 1814 0.81 1815 0.994 1816 0.877 1817 0.959 1818 0.912 1819 0.559 1820 1.04 1821 1.066 1822 1.303 1823 1.394 1824 1.003 1825 0.806 1826 0.818 1827 1.102 1828 1.657 1829 2.01 1830 1.998 1831 1.254 1832 1.386 1833 1.766 1834 1.945 1835 1.162 1836 0.819 1837 1.14 1838 1.252 1839 0.772 1840 0.687 1841 0.856 1842 1.103 1843 1.297 1844 1.672 1845 0.899 1846 1.349 1847 1.081 1848 1.037 1849 1.47 1850 1.347 1851 1.214 1852 0.963 1853 0.772 1854 0.77 1855 0.821 1856 0.902 1857 0.871 1858 1.083 1859 0.811 1860 0.903 1861 1.078 1862 0.899 1863 0.886 1864 0.775 1865 0.726 1866 0.86 1867 0.859 1868 1.2 1869 1.198 1870 0.95 1871 0.804 1872 0.872 1873 0.696 1874 0.686 1875 0.779 1876 0.758 1877 0.846 1878 1.202 1879 0.866 1880 0.851 1881 0.855 1882 0.815 1883 0.957 1884 0.783 1885 0.949 1886 0.936 1887 0.737 1888 0.644 1889 0.623 1890 0.484 1891 0.565 1892 0.729 1893 0.498 1894 0.629 1895 0.966 1896 0.625 1897 0.553 1898 0.869 1899 0.978 1900 0.777 1901 0.705 1902 0.724 1903 0.811 1904 0.956 1905 0.869 1906 0.758 1907 0.882 1908 1.157 1909 0.962 1910 1.0 1911 0.938 1912 1.111 1913 0.717 1914 0.886 1915 1.154 1916 1.025 1917 0.842 1918 1.018 1919 1.446 1920 1.925 1921 1.429 1922 1.285 1923 0.994 1924 0.702 1925 0.848 1926 1.107 1927 0.94 1928 1.178 1929 1.06 1930 1.462 1931 1.386 1932 0.69 1933 1.365 1934 1.518 1935 0.92 1936 1.381 1937 1.398 1938 1.597 1939 1.371 1940 1.055 1941 1.488 1942 1.401 1943 0.841 1944 1.123 1945 1.422 1946 1.055 1947 0.581 1948 0.692 1949 0.9 1950 1.074 1951 0.965 1952 0.834 1953 1.07 1954 1.504 1955 1.243 1956 1.399 1957 0.851 1958 0.892 1959 0.94 1960 1.024 1961 1.209 1962 1.254 1963 1.413 1964 1.215 1965 1.08 1966 1.473 1967 1.212 1968 0.822 1969 0.892 1970 0.751 1971 0.782 1972 0.842 1973 0.935 1974 0.928 1975 1.475