# southamerica_arge034 - Estancia San Justo - 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_arge034 - Estancia San Justo - 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: Estancia San Justo # Location: # Country: Argentina # Northernmost_Latitude: -54.05 # Southernmost_Latitude: -54.05 # Easternmost_Longitude: -68.57 # Westernmost_Longitude: -68.57 # Elevation: 250 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge034B # Earliest_Year: 1776 # Most_Recent_Year: 1985 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.38404938371"}{"T2":"17.4361039668"}{"M1":"0.0226355685784"}{"M2":"0.35922148223"} #-------------------- # Species # Species_Name: lenga nothofagus # Species_Code: NOPU #-------------------- # 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 1776 0.98 1777 0.7 1778 0.914 1779 1.098 1780 0.871 1781 0.964 1782 0.753 1783 0.772 1784 1.079 1785 0.861 1786 1.001 1787 1.002 1788 1.385 1789 1.082 1790 0.754 1791 0.522 1792 1.18 1793 1.014 1794 1.104 1795 1.268 1796 1.031 1797 0.843 1798 0.869 1799 0.847 1800 0.95 1801 0.881 1802 0.922 1803 1.045 1804 0.834 1805 0.74 1806 1.015 1807 1.063 1808 1.09 1809 0.852 1810 1.139 1811 0.802 1812 1.02 1813 0.828 1814 0.842 1815 0.889 1816 0.959 1817 1.311 1818 1.172 1819 0.812 1820 0.789 1821 0.808 1822 1.237 1823 1.342 1824 1.001 1825 1.099 1826 1.012 1827 0.846 1828 0.91 1829 1.15 1830 1.127 1831 1.084 1832 1.066 1833 1.001 1834 0.806 1835 0.861 1836 1.174 1837 1.247 1838 0.973 1839 1.162 1840 0.972 1841 0.912 1842 1.0 1843 0.983 1844 0.859 1845 0.928 1846 0.697 1847 1.094 1848 1.377 1849 1.026 1850 1.0 1851 0.521 1852 0.658 1853 1.079 1854 0.998 1855 1.061 1856 0.851 1857 1.094 1858 1.111 1859 0.895 1860 0.818 1861 0.761 1862 1.105 1863 1.352 1864 0.958 1865 1.031 1866 1.014 1867 0.965 1868 0.896 1869 1.121 1870 1.429 1871 1.199 1872 0.913 1873 0.876 1874 0.75 1875 0.43 1876 1.037 1877 0.931 1878 0.808 1879 0.92 1880 1.084 1881 1.17 1882 0.604 1883 0.737 1884 1.495 1885 1.313 1886 1.072 1887 0.863 1888 0.739 1889 0.373 1890 0.604 1891 0.971 1892 0.876 1893 0.66 1894 1.04 1895 1.177 1896 1.163 1897 1.37 1898 1.517 1899 1.318 1900 1.268 1901 1.18 1902 1.128 1903 0.959 1904 1.372 1905 1.133 1906 0.774 1907 0.957 1908 0.894 1909 1.015 1910 1.07 1911 1.549 1912 1.255 1913 1.156 1914 0.827 1915 1.093 1916 0.873 1917 1.028 1918 1.239 1919 0.952 1920 1.085 1921 1.573 1922 1.166 1923 0.747 1924 0.919 1925 1.41 1926 1.056 1927 0.833 1928 1.059 1929 0.939 1930 0.462 1931 0.479 1932 1.166 1933 1.004 1934 0.643 1935 0.537 1936 0.649 1937 0.743 1938 1.076 1939 1.359 1940 0.966 1941 0.762 1942 1.122 1943 0.777 1944 1.092 1945 1.231 1946 1.134 1947 0.928 1948 0.844 1949 0.611 1950 0.704 1951 0.918 1952 0.656 1953 0.811 1954 1.011 1955 1.022 1956 1.11 1957 1.006 1958 0.389 1959 0.599 1960 0.966 1961 1.048 1962 0.827 1963 0.876 1964 1.161 1965 1.039 1966 1.226 1967 1.251 1968 1.143 1969 0.96 1970 0.696 1971 0.544 1972 1.103 1973 0.979 1974 1.138 1975 1.179 1976 1.02 1977 1.084 1978 1.026 1979 1.166 1980 1.115 1981 0.833 1982 1.279 1983 0.888 1984 0.814 1985 1.024