# southamerica_arge107 - Castaño Overo 7 - 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5147 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_arge107 - Castaño Overo 7 - 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. #-------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Castaño Overo 7 # Location: # Country: Argentina # Northernmost_Latitude: -41.15 # Southernmost_Latitude: -41.15 # Easternmost_Longitude: -71.8 # Westernmost_Longitude: -71.8 # Elevation: 1410 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge107B # Earliest_Year: 1652 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"5.15285651255","T2":"15.7877810776","M1":"0.0222795205313","M2":"0.375674203007"}} #-------------------- # 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 1652 0.858 1653 0.517 1654 0.708 1655 0.91 1656 1.158 1657 1.053 1658 1.043 1659 0.904 1660 0.915 1661 0.788 1662 0.425 1663 0.316 1664 0.563 1665 0.322 1666 0.674 1667 0.884 1668 1.028 1669 1.093 1670 0.92 1671 1.09 1672 1.24 1673 1.312 1674 0.855 1675 1.307 1676 1.294 1677 1.059 1678 1.087 1679 0.964 1680 1.345 1681 1.29 1682 1.038 1683 1.137 1684 0.637 1685 0.898 1686 1.05 1687 0.678 1688 0.897 1689 0.416 1690 0.408 1691 0.868 1692 1.141 1693 1.224 1694 0.983 1695 1.116 1696 0.5 1697 0.62 1698 0.309 1699 0.511 1700 1.002 1701 1.006 1702 0.92 1703 0.631 1704 0.754 1705 0.706 1706 0.839 1707 0.911 1708 0.692 1709 0.931 1710 0.71 1711 1.024 1712 1.153 1713 0.956 1714 0.686 1715 0.657 1716 0.829 1717 0.56 1718 0.63 1719 1.385 1720 0.936 1721 1.023 1722 1.05 1723 1.507 1724 0.872 1725 0.911 1726 0.753 1727 0.931 1728 1.21 1729 0.676 1730 0.303 1731 0.273 1732 0.876 1733 1.122 1734 0.511 1735 1.243 1736 1.186 1737 1.103 1738 1.644 1739 0.963 1740 1.034 1741 0.549 1742 0.49 1743 0.701 1744 0.676 1745 0.782 1746 0.933 1747 1.016 1748 1.481 1749 1.27 1750 1.209 1751 0.953 1752 1.02 1753 0.962 1754 1.137 1755 0.996 1756 0.899 1757 1.362 1758 1.193 1759 1.447 1760 0.769 1761 1.145 1762 1.105 1763 1.121 1764 1.204 1765 0.972 1766 0.701 1767 1.124 1768 0.847 1769 0.264 1770 0.448 1771 1.39 1772 0.705 1773 0.516 1774 0.724 1775 0.822 1776 0.951 1777 0.667 1778 0.676 1779 0.3 1780 0.523 1781 1.07 1782 1.2 1783 1.359 1784 1.145 1785 0.99 1786 1.148 1787 1.025 1788 0.624 1789 1.056 1790 0.572 1791 1.031 1792 1.308 1793 1.234 1794 1.386 1795 1.244 1796 1.077 1797 0.902 1798 1.272 1799 0.904 1800 1.094 1801 1.142 1802 1.007 1803 0.722 1804 1.192 1805 1.164 1806 1.627 1807 1.61 1808 1.222 1809 1.341 1810 1.083 1811 1.041 1812 1.337 1813 0.913 1814 0.516 1815 1.216 1816 0.989 1817 1.197 1818 0.298 1819 0.995 1820 0.534 1821 0.339 1822 0.741 1823 0.729 1824 0.89 1825 0.869 1826 0.62 1827 0.992 1828 1.175 1829 1.142 1830 1.283 1831 1.204 1832 1.003 1833 1.118 1834 1.382 1835 1.169 1836 1.411 1837 1.206 1838 0.902 1839 1.423 1840 1.036 1841 1.158 1842 1.092 1843 1.155 1844 1.269 1845 1.128 1846 1.342 1847 0.966 1848 1.16 1849 0.84 1850 0.927 1851 0.919 1852 1.151 1853 1.152 1854 1.016 1855 1.13 1856 0.969 1857 0.849 1858 0.635 1859 0.661 1860 0.536 1861 0.326 1862 0.749 1863 1.062 1864 0.814 1865 0.979 1866 1.014 1867 0.895 1868 1.043 1869 1.039 1870 0.142 1871 0.005 1872 0.499 1873 0.818 1874 1.054 1875 1.207 1876 0.913 1877 0.813 1878 1.031 1879 0.858 1880 0.965 1881 0.811 1882 0.824 1883 0.869 1884 1.172 1885 0.77 1886 1.214 1887 1.085 1888 0.981 1889 0.598 1890 0.982 1891 0.864 1892 1.02 1893 1.36 1894 1.517 1895 1.082 1896 0.725 1897 1.272 1898 1.353 1899 0.993 1900 0.98 1901 0.827 1902 0.846 1903 1.333 1904 1.297 1905 1.469 1906 1.484 1907 1.232 1908 1.094 1909 0.933 1910 1.037 1911 1.233 1912 0.481 1913 1.405 1914 0.805 1915 0.9 1916 0.906 1917 0.718 1918 1.276 1919 1.099 1920 1.243 1921 1.187 1922 1.096 1923 0.922 1924 1.042 1925 0.959 1926 0.757 1927 1.086 1928 0.765 1929 0.893 1930 0.983 1931 0.985 1932 1.269 1933 1.278 1934 1.154 1935 0.755 1936 1.074 1937 0.882 1938 0.724 1939 1.048 1940 1.116 1941 0.757 1942 1.459 1943 1.053 1944 0.979 1945 1.1 1946 0.787 1947 1.188 1948 0.977 1949 1.088 1950 0.645 1951 0.771 1952 0.928 1953 1.231 1954 1.049 1955 1.155 1956 1.017 1957 1.159 1958 1.171 1959 1.215 1960 0.838 1961 0.784 1962 0.83 1963 0.766 1964 1.226 1965 0.746 1966 0.833 1967 1.103 1968 0.566 1969 0.742 1970 0.431 1971 0.689 1972 0.851 1973 0.537 1974 0.513 1975 0.294 1976 0.841 1977 1.062 1978 0.931 1979 1.16 1980 1.175 1981 1.057 1982 0.954 1983 1.166 1984 0.865 1985 0.821 1986 0.806 1987 0.866 1988 0.996 1989 1.048 1990 1.061 1991 0.92