# southamerica_chil002 - El Asiento - 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_chil002 - El Asiento - 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: El Asiento # Location: # Country: Chile # Northernmost_Latitude: -31.97 # Southernmost_Latitude: -31.97 # Easternmost_Longitude: -71.03 # Westernmost_Longitude: -71.03 # Elevation: 1700 m #-------------------- # Data_Collection # Collection_Name: southamerica_chil002B # Earliest_Year: 1600 # Most_Recent_Year: 1972 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.63478850371"}{"T2":"16.546868578"}{"M1":"0.022909092992"}{"M2":"0.439090334237"} #-------------------- # 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 1600 1.003 1601 0.947 1602 1.012 1603 0.946 1604 0.807 1605 0.888 1606 0.65 1607 0.654 1608 0.984 1609 1.043 1610 0.837 1611 0.955 1612 0.728 1613 0.579 1614 0.799 1615 0.794 1616 0.875 1617 0.792 1618 0.807 1619 0.794 1620 1.042 1621 0.868 1622 0.636 1623 0.68 1624 0.535 1625 0.679 1626 0.819 1627 0.518 1628 0.223 1629 0.404 1630 0.632 1631 0.603 1632 0.83 1633 0.684 1634 1.02 1635 1.249 1636 0.874 1637 0.937 1638 0.756 1639 0.937 1640 0.954 1641 1.158 1642 1.309 1643 1.212 1644 0.913 1645 0.725 1646 0.753 1647 0.747 1648 1.134 1649 0.782 1650 0.776 1651 0.918 1652 1.125 1653 1.442 1654 1.376 1655 1.597 1656 1.337 1657 1.67 1658 1.226 1659 1.003 1660 1.203 1661 1.064 1662 0.995 1663 1.265 1664 1.012 1665 0.956 1666 1.251 1667 1.12 1668 1.034 1669 1.025 1670 1.283 1671 0.942 1672 1.107 1673 1.323 1674 1.371 1675 1.194 1676 1.265 1677 0.898 1678 0.53 1679 0.705 1680 1.044 1681 0.815 1682 0.963 1683 1.072 1684 1.033 1685 0.923 1686 0.992 1687 1.223 1688 1.096 1689 1.228 1690 1.036 1691 1.082 1692 1.031 1693 0.807 1694 1.161 1695 1.303 1696 0.383 1697 1.029 1698 1.166 1699 0.961 1700 0.799 1701 1.346 1702 0.971 1703 0.981 1704 1.037 1705 0.894 1706 0.851 1707 1.097 1708 1.027 1709 1.11 1710 0.906 1711 1.079 1712 1.099 1713 0.961 1714 1.008 1715 0.962 1716 0.98 1717 0.829 1718 1.027 1719 0.992 1720 1.188 1721 0.963 1722 0.939 1723 1.195 1724 1.176 1725 0.834 1726 0.944 1727 0.724 1728 1.06 1729 0.36 1730 0.694 1731 0.749 1732 0.779 1733 0.881 1734 0.857 1735 1.051 1736 0.624 1737 0.948 1738 1.235 1739 0.997 1740 0.999 1741 1.128 1742 1.077 1743 1.126 1744 1.399 1745 1.323 1746 1.306 1747 1.401 1748 1.256 1749 1.118 1750 1.255 1751 0.911 1752 0.867 1753 0.846 1754 0.894 1755 0.944 1756 0.861 1757 0.292 1758 0.762 1759 0.524 1760 0.805 1761 0.972 1762 1.009 1763 1.203 1764 1.414 1765 1.366 1766 1.233 1767 1.154 1768 0.986 1769 1.218 1770 1.227 1771 0.767 1772 0.732 1773 0.821 1774 0.731 1775 1.016 1776 1.341 1777 1.21 1778 1.171 1779 1.042 1780 1.125 1781 0.549 1782 0.7 1783 1.017 1784 0.797 1785 1.002 1786 1.102 1787 0.871 1788 0.955 1789 0.914 1790 0.98 1791 0.725 1792 1.135 1793 0.956 1794 0.977 1795 1.317 1796 1.164 1797 0.9 1798 1.003 1799 0.751 1800 0.821 1801 0.939 1802 0.931 1803 0.881 1804 1.022 1805 0.838 1806 0.909 1807 0.704 1808 0.738 1809 0.971 1810 1.317 1811 1.212 1812 0.943 1813 0.872 1814 0.862 1815 0.863 1816 0.919 1817 0.717 1818 0.75 1819 0.767 1820 0.817 1821 1.054 1822 0.664 1823 0.544 1824 0.795 1825 1.185 1826 1.284 1827 1.446 1828 1.121 1829 1.359 1830 1.227 1831 0.688 1832 0.98 1833 1.073 1834 1.083 1835 1.217 1836 1.457 1837 1.473 1838 1.214 1839 1.027 1840 0.796 1841 1.017 1842 1.092 1843 1.317 1844 0.885 1845 1.304 1846 1.185 1847 1.054 1848 1.233 1849 1.164 1850 1.292 1851 1.18 1852 0.92 1853 0.781 1854 0.866 1855 1.234 1856 1.3 1857 1.231 1858 1.25 1859 1.016 1860 1.048 1861 1.107 1862 1.286 1863 -0.019 1864 0.825 1865 0.755 1866 0.622 1867 0.912 1868 0.922 1869 0.747 1870 1.345 1871 1.272 1872 0.952 1873 1.11 1874 1.235 1875 0.952 1876 0.935 1877 1.084 1878 1.05 1879 0.556 1880 0.985 1881 1.248 1882 0.946 1883 1.307 1884 1.551 1885 1.285 1886 0.123 1887 1.191 1888 1.293 1889 0.925 1890 1.084 1891 1.14 1892 0.267 1893 0.587 1894 0.725 1895 0.738 1896 0.758 1897 0.806 1898 1.167 1899 1.295 1900 1.29 1901 1.236 1902 1.304 1903 0.98 1904 1.295 1905 1.506 1906 1.005 1907 0.931 1908 0.57 1909 0.769 1910 0.598 1911 0.58 1912 0.839 1913 0.784 1914 1.157 1915 0.878 1916 0.569 1917 0.653 1918 0.821 1919 0.903 1920 1.02 1921 1.073 1922 1.095 1923 1.204 1924 -0.018 1925 0.802 1926 0.943 1927 0.882 1928 1.034 1929 1.125 1930 1.433 1931 1.403 1932 1.255 1933 1.227 1934 0.892 1935 0.758 1936 0.458 1937 0.92 1938 0.719 1939 0.869 1940 1.092 1941 1.182 1942 1.715 1943 0.898 1944 1.121 1945 0.676 1946 0.432 1947 0.648 1948 0.854 1949 0.662 1950 1.137 1951 0.965 1952 0.782 1953 1.002 1954 0.781 1955 0.986 1956 0.997 1957 1.041 1958 0.932 1959 0.991 1960 0.728 1961 1.082 1962 1.004 1963 1.112 1964 0.879 1965 0.964 1966 0.921 1967 0.732 1968 0.073 1969 0.385 1970 0.674 1971 0.691 1972 0.824