# southamerica_arge108 - Castaño Overo 8 - 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/5148 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_arge108 - Castaño Overo 8 - 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 8 # Location: # Country: Argentina # Northernmost_Latitude: -41.15 # Southernmost_Latitude: -41.15 # Easternmost_Longitude: -71.8 # Westernmost_Longitude: -71.8 # Elevation: 1300 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge108B # Earliest_Year: 1635 # 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":"4.33779806581","T2":"17.5906068767","M1":"0.022576521056","M2":"0.350271653366"}} #-------------------- # 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 1635 0.816 1636 0.423 1637 0.865 1638 0.473 1639 0.455 1640 0.61 1641 0.717 1642 0.9 1643 0.999 1644 1.164 1645 1.006 1646 0.977 1647 0.903 1648 0.82 1649 1.011 1650 0.981 1651 0.891 1652 0.629 1653 0.719 1654 0.48 1655 0.852 1656 1.133 1657 1.003 1658 0.942 1659 0.981 1660 1.192 1661 0.956 1662 0.552 1663 0.578 1664 0.806 1665 0.23 1666 0.636 1667 1.027 1668 1.21 1669 1.28 1670 1.008 1671 1.159 1672 1.122 1673 1.243 1674 0.767 1675 0.819 1676 1.056 1677 1.332 1678 0.959 1679 1.137 1680 1.424 1681 1.403 1682 1.067 1683 1.101 1684 0.857 1685 1.078 1686 1.015 1687 0.433 1688 0.86 1689 0.488 1690 0.418 1691 0.734 1692 0.977 1693 1.321 1694 1.058 1695 1.143 1696 0.59 1697 0.507 1698 0.555 1699 0.431 1700 1.23 1701 1.342 1702 0.876 1703 0.609 1704 0.557 1705 0.823 1706 0.813 1707 0.972 1708 0.916 1709 0.994 1710 0.832 1711 1.264 1712 1.388 1713 1.213 1714 1.178 1715 0.831 1716 1.109 1717 0.969 1718 0.997 1719 1.771 1720 1.225 1721 0.984 1722 0.83 1723 1.112 1724 0.95 1725 0.685 1726 0.771 1727 1.147 1728 1.372 1729 0.937 1730 0.506 1731 0.477 1732 1.001 1733 1.225 1734 0.855 1735 1.339 1736 1.226 1737 1.201 1738 1.496 1739 1.315 1740 1.267 1741 0.843 1742 0.556 1743 0.945 1744 0.53 1745 0.828 1746 0.971 1747 0.968 1748 1.05 1749 1.156 1750 1.116 1751 0.764 1752 0.643 1753 0.815 1754 0.956 1755 0.771 1756 0.978 1757 1.277 1758 1.296 1759 1.43 1760 0.841 1761 1.149 1762 1.088 1763 1.138 1764 1.43 1765 0.948 1766 0.807 1767 1.16 1768 1.006 1769 0.455 1770 0.731 1771 1.165 1772 0.866 1773 0.859 1774 0.902 1775 0.722 1776 0.934 1777 0.536 1778 0.685 1779 0.512 1780 0.802 1781 0.999 1782 1.23 1783 1.304 1784 1.242 1785 1.023 1786 1.5 1787 0.763 1788 0.736 1789 1.211 1790 0.676 1791 0.877 1792 1.063 1793 0.879 1794 1.101 1795 1.211 1796 1.052 1797 1.033 1798 1.164 1799 1.162 1800 1.301 1801 1.165 1802 1.322 1803 0.745 1804 1.403 1805 1.168 1806 1.318 1807 1.414 1808 1.318 1809 1.437 1810 1.242 1811 1.352 1812 1.592 1813 1.03 1814 0.712 1815 1.145 1816 1.277 1817 1.124 1818 0.617 1819 1.13 1820 0.838 1821 0.586 1822 1.096 1823 1.182 1824 1.234 1825 1.043 1826 0.509 1827 0.902 1828 1.277 1829 1.026 1830 1.243 1831 0.955 1832 1.061 1833 1.008 1834 1.134 1835 1.185 1836 1.424 1837 1.213 1838 1.032 1839 1.637 1840 0.699 1841 1.074 1842 1.21 1843 1.213 1844 1.357 1845 1.156 1846 1.143 1847 1.092 1848 1.549 1849 0.879 1850 0.872 1851 0.766 1852 1.131 1853 1.327 1854 0.682 1855 1.101 1856 0.763 1857 0.871 1858 0.73 1859 0.853 1860 0.577 1861 0.386 1862 0.874 1863 1.127 1864 1.055 1865 1.249 1866 0.966 1867 1.298 1868 1.264 1869 1.005 1870 0.26 1871 0.348 1872 0.559 1873 0.774 1874 0.825 1875 1.008 1876 0.948 1877 1.005 1878 0.424 1879 0.569 1880 0.802 1881 0.545 1882 0.627 1883 0.877 1884 1.004 1885 0.665 1886 1.089 1887 0.931 1888 0.903 1889 0.709 1890 0.689 1891 0.66 1892 0.643 1893 0.773 1894 0.924 1895 0.665 1896 0.321 1897 0.849 1898 0.941 1899 0.813 1900 0.723 1901 0.74 1902 0.651 1903 1.041 1904 0.997 1905 1.265 1906 0.987 1907 0.956 1908 0.711 1909 0.871 1910 0.727 1911 0.754 1912 0.646 1913 1.007 1914 0.692 1915 0.895 1916 0.854 1917 0.562 1918 0.819 1919 0.867 1920 1.015 1921 0.951 1922 0.774 1923 0.581 1924 0.951 1925 1.091 1926 0.695 1927 0.802 1928 0.631 1929 0.752 1930 0.732 1931 0.848 1932 1.006 1933 1.076 1934 0.83 1935 0.768 1936 0.937 1937 0.609 1938 0.75 1939 1.015 1940 1.129 1941 0.919 1942 1.523 1943 1.145 1944 1.077 1945 1.11 1946 0.961 1947 1.052 1948 0.962 1949 1.313 1950 0.987 1951 1.015 1952 0.944 1953 1.186 1954 1.117 1955 1.255 1956 0.882 1957 1.363 1958 1.371 1959 1.289 1960 1.165 1961 0.961 1962 1.287 1963 0.916 1964 1.509 1965 1.107 1966 1.079 1967 0.983 1968 0.621 1969 0.762 1970 0.677 1971 0.843 1972 1.142 1973 0.62 1974 0.69 1975 0.51 1976 0.765 1977 1.027 1978 1.046 1979 1.184 1980 1.159 1981 1.342 1982 1.107 1983 1.254 1984 0.628 1985 0.587 1986 0.459 1987 0.671 1988 0.831 1989 0.991 1990 0.966 1991 0.911