# southamerica_chil017 - Santa Lucia - 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_chil017 - Santa Lucia - 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: Santa Lucia # Location: # Country: Chile # Northernmost_Latitude: -43.0 # Southernmost_Latitude: -43.0 # Easternmost_Longitude: -72.5 # Westernmost_Longitude: -72.5 # Elevation: 540 m #-------------------- # Data_Collection # Collection_Name: southamerica_chil017B # Earliest_Year: 1662 # Most_Recent_Year: 1986 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"3.11651861133"}{"T2":"11.6455120192"}{"M1":"0.0228483791759"}{"M2":"0.618622264018"} #-------------------- # Species # Species_Name: cipres de las Guaytecas cypress # Species_Code: PLUV #-------------------- # 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 1662 1.063 1663 0.98 1664 1.17 1665 0.919 1666 0.598 1667 0.609 1668 1.022 1669 0.704 1670 0.567 1671 0.46 1672 0.392 1673 0.279 1674 0.567 1675 0.636 1676 0.648 1677 0.596 1678 0.658 1679 0.493 1680 0.48 1681 0.468 1682 0.436 1683 0.474 1684 0.574 1685 0.613 1686 0.612 1687 0.507 1688 0.62 1689 0.603 1690 0.594 1691 0.648 1692 0.664 1693 0.635 1694 0.775 1695 0.805 1696 0.757 1697 0.952 1698 1.091 1699 1.184 1700 1.213 1701 1.314 1702 1.569 1703 1.712 1704 1.577 1705 1.098 1706 1.428 1707 1.187 1708 1.09 1709 1.219 1710 1.221 1711 1.142 1712 0.834 1713 1.108 1714 1.17 1715 1.329 1716 1.244 1717 1.153 1718 1.002 1719 0.422 1720 0.704 1721 1.137 1722 1.086 1723 1.17 1724 1.06 1725 1.255 1726 1.202 1727 1.189 1728 1.149 1729 0.969 1730 1.036 1731 1.013 1732 0.952 1733 0.964 1734 0.971 1735 1.04 1736 0.914 1737 0.735 1738 0.801 1739 0.75 1740 0.803 1741 0.793 1742 0.611 1743 0.53 1744 0.798 1745 0.797 1746 0.881 1747 0.377 1748 0.516 1749 0.938 1750 1.033 1751 0.826 1752 0.702 1753 0.939 1754 0.924 1755 0.343 1756 0.715 1757 0.978 1758 0.978 1759 1.085 1760 1.164 1761 1.171 1762 1.052 1763 0.874 1764 0.891 1765 0.932 1766 0.462 1767 0.554 1768 0.479 1769 0.804 1770 0.867 1771 1.297 1772 1.256 1773 1.356 1774 1.262 1775 1.338 1776 1.391 1777 1.419 1778 1.251 1779 1.263 1780 1.205 1781 1.117 1782 1.14 1783 1.068 1784 1.247 1785 1.248 1786 0.965 1787 1.002 1788 0.858 1789 0.811 1790 0.841 1791 1.121 1792 0.887 1793 1.078 1794 1.108 1795 0.71 1796 0.967 1797 1.359 1798 1.262 1799 1.406 1800 1.386 1801 1.266 1802 1.199 1803 1.057 1804 0.976 1805 1.116 1806 1.334 1807 0.855 1808 1.134 1809 1.136 1810 1.198 1811 0.943 1812 1.263 1813 1.169 1814 0.95 1815 0.797 1816 0.665 1817 0.666 1818 0.432 1819 0.197 1820 0.369 1821 0.517 1822 0.382 1823 0.383 1824 0.239 1825 0.482 1826 1.01 1827 0.984 1828 0.833 1829 1.036 1830 0.757 1831 1.088 1832 1.243 1833 0.566 1834 0.927 1835 1.298 1836 1.132 1837 1.009 1838 1.224 1839 0.717 1840 0.875 1841 1.066 1842 1.327 1843 0.999 1844 1.242 1845 1.578 1846 1.596 1847 1.569 1848 1.438 1849 1.629 1850 1.075 1851 0.465 1852 0.756 1853 0.751 1854 0.837 1855 0.888 1856 1.007 1857 1.033 1858 1.047 1859 0.837 1860 0.94 1861 1.023 1862 0.901 1863 0.786 1864 0.75 1865 0.559 1866 0.733 1867 0.646 1868 0.961 1869 0.869 1870 0.762 1871 0.869 1872 0.957 1873 0.835 1874 0.819 1875 0.791 1876 0.932 1877 0.712 1878 0.92 1879 0.422 1880 1.013 1881 0.987 1882 1.106 1883 0.954 1884 1.201 1885 0.72 1886 0.982 1887 0.925 1888 0.786 1889 0.874 1890 0.779 1891 0.711 1892 0.723 1893 0.723 1894 0.77 1895 0.891 1896 1.024 1897 0.677 1898 0.601 1899 0.741 1900 0.807 1901 0.7 1902 0.697 1903 0.813 1904 0.908 1905 0.79 1906 1.244 1907 1.373 1908 1.282 1909 1.341 1910 1.198 1911 0.649 1912 0.601 1913 0.622 1914 0.968 1915 1.394 1916 1.407 1917 1.503 1918 1.654 1919 1.491 1920 1.591 1921 1.522 1922 1.621 1923 1.178 1924 1.41 1925 1.324 1926 1.458 1927 1.269 1928 1.441 1929 1.436 1930 1.21 1931 1.36 1932 1.296 1933 1.134 1934 1.367 1935 1.226 1936 1.023 1937 0.807 1938 1.439 1939 1.163 1940 0.829 1941 0.805 1942 0.798 1943 0.779 1944 0.912 1945 0.899 1946 1.159 1947 1.269 1948 1.059 1949 1.112 1950 0.957 1951 0.814 1952 0.85 1953 0.831 1954 0.815 1955 0.721 1956 0.991 1957 0.553 1958 0.542 1959 0.53 1960 0.521 1961 0.949 1962 1.079 1963 1.053 1964 1.175 1965 0.849 1966 1.069 1967 1.022 1968 0.905 1969 0.827 1970 0.807 1971 0.769 1972 0.784 1973 1.023 1974 1.063 1975 0.779 1976 0.722 1977 0.648 1978 0.636 1979 0.731 1980 0.824 1981 0.909 1982 0.996 1983 1.245 1984 1.072 1985 0.992 1986 1.029