# australia_newz069 - Ruahine Corner - 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/5373 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz069 - Ruahine Corner - 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: Ruahine Corner # Location: # Country: New Zealand # Northernmost_Latitude: -39.63 # Southernmost_Latitude: -39.63 # Easternmost_Longitude: 176.18 # Westernmost_Longitude: 176.18 # Elevation: 1200 m #-------------------- # Data_Collection # Collection_Name: australia_newz069B # Earliest_Year: 1611 # 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":"6.12786113996","T2":"17.7466600858","M1":"0.0227750692602","M2":"0.395392592783"}} #-------------------- # Species # Species_Name: New Zealand cedar # Species_Code: LIBI #-------------------- # 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 1611 0.73 1612 0.919 1613 1.057 1614 0.992 1615 0.98 1616 0.965 1617 1.055 1618 0.951 1619 1.094 1620 1.079 1621 1.158 1622 1.084 1623 1.048 1624 0.851 1625 0.946 1626 1.052 1627 0.808 1628 0.914 1629 1.035 1630 0.907 1631 0.859 1632 0.889 1633 0.763 1634 0.831 1635 0.79 1636 0.697 1637 0.769 1638 0.692 1639 0.673 1640 0.758 1641 0.807 1642 0.955 1643 0.976 1644 0.957 1645 0.959 1646 0.954 1647 1.023 1648 1.013 1649 1.084 1650 1.035 1651 1.017 1652 0.728 1653 0.704 1654 0.434 1655 0.564 1656 0.653 1657 0.662 1658 0.684 1659 0.657 1660 0.648 1661 0.704 1662 0.752 1663 0.778 1664 0.705 1665 0.647 1666 0.88 1667 0.96 1668 0.923 1669 1.035 1670 0.777 1671 1.084 1672 1.235 1673 0.95 1674 0.972 1675 0.844 1676 0.888 1677 1.032 1678 0.766 1679 0.811 1680 0.839 1681 0.858 1682 0.828 1683 0.944 1684 0.927 1685 1.014 1686 0.899 1687 0.987 1688 1.256 1689 1.256 1690 1.261 1691 1.316 1692 1.278 1693 1.276 1694 1.128 1695 1.026 1696 0.953 1697 0.84 1698 0.808 1699 0.783 1700 0.734 1701 0.826 1702 0.922 1703 1.062 1704 0.915 1705 0.859 1706 1.405 1707 1.249 1708 0.892 1709 0.936 1710 0.736 1711 0.924 1712 1.129 1713 0.971 1714 0.998 1715 0.96 1716 0.894 1717 0.791 1718 0.723 1719 0.871 1720 0.995 1721 1.029 1722 0.872 1723 0.942 1724 1.115 1725 1.171 1726 1.146 1727 1.089 1728 1.458 1729 0.914 1730 1.151 1731 0.922 1732 0.726 1733 0.806 1734 0.874 1735 0.879 1736 1.111 1737 0.954 1738 0.907 1739 0.961 1740 1.118 1741 0.577 1742 0.749 1743 0.987 1744 0.722 1745 0.834 1746 0.728 1747 0.791 1748 0.918 1749 0.936 1750 0.875 1751 1.051 1752 0.718 1753 0.818 1754 0.864 1755 0.928 1756 0.911 1757 1.003 1758 0.942 1759 0.97 1760 1.177 1761 1.118 1762 1.058 1763 0.992 1764 0.928 1765 0.838 1766 1.174 1767 0.941 1768 0.822 1769 1.01 1770 0.841 1771 0.785 1772 0.882 1773 0.919 1774 0.887 1775 0.943 1776 0.929 1777 1.218 1778 1.22 1779 1.219 1780 1.192 1781 1.17 1782 0.941 1783 1.102 1784 1.092 1785 1.156 1786 1.238 1787 1.064 1788 1.017 1789 1.065 1790 1.049 1791 0.877 1792 0.776 1793 0.946 1794 0.887 1795 0.931 1796 1.178 1797 1.526 1798 1.133 1799 1.482 1800 1.554 1801 1.643 1802 1.52 1803 1.155 1804 1.432 1805 1.319 1806 1.22 1807 1.261 1808 1.177 1809 1.022 1810 0.982 1811 1.192 1812 1.241 1813 1.077 1814 1.252 1815 1.338 1816 1.175 1817 1.012 1818 1.202 1819 1.188 1820 1.006 1821 1.196 1822 1.151 1823 1.184 1824 1.233 1825 1.582 1826 1.126 1827 1.268 1828 1.168 1829 1.222 1830 0.801 1831 0.929 1832 0.807 1833 0.588 1834 0.795 1835 0.856 1836 0.857 1837 0.926 1838 0.899 1839 0.962 1840 0.8 1841 1.086 1842 0.976 1843 0.93 1844 0.823 1845 0.891 1846 0.736 1847 0.468 1848 0.67 1849 0.598 1850 0.786 1851 0.915 1852 1.025 1853 1.005 1854 0.892 1855 0.862 1856 0.911 1857 0.963 1858 0.874 1859 0.917 1860 0.823 1861 1.484 1862 1.41 1863 1.47 1864 1.402 1865 1.002 1866 1.346 1867 1.054 1868 1.141 1869 1.093 1870 0.965 1871 1.07 1872 0.657 1873 0.79 1874 0.878 1875 0.812 1876 0.805 1877 0.731 1878 0.794 1879 0.972 1880 1.019 1881 1.03 1882 0.949 1883 0.599 1884 0.626 1885 0.824 1886 0.868 1887 0.777 1888 0.702 1889 0.839 1890 0.823 1891 0.918 1892 1.013 1893 1.089 1894 1.021 1895 1.035 1896 1.278 1897 1.146 1898 1.208 1899 1.201 1900 1.229 1901 1.239 1902 0.986 1903 1.03 1904 1.066 1905 1.048 1906 0.898 1907 0.624 1908 0.935 1909 1.184 1910 0.887 1911 0.793 1912 0.695 1913 0.97 1914 1.027 1915 1.19 1916 0.837 1917 1.09 1918 0.89 1919 0.922 1920 0.892 1921 1.101 1922 1.005 1923 0.977 1924 0.623 1925 0.584 1926 0.726 1927 0.658 1928 0.642 1929 0.654 1930 0.502 1931 0.813 1932 1.257 1933 1.365 1934 1.658 1935 1.04 1936 1.023 1937 1.163 1938 0.754 1939 0.546 1940 0.602 1941 0.556 1942 0.555 1943 0.695 1944 0.893 1945 0.776 1946 0.781 1947 0.874 1948 0.772 1949 0.798 1950 0.914 1951 1.02 1952 0.953 1953 0.932 1954 0.816 1955 0.852 1956 0.931 1957 1.126 1958 1.175 1959 1.239 1960 1.134 1961 0.963 1962 0.884 1963 0.879 1964 0.84 1965 0.906 1966 0.852 1967 1.114 1968 0.968 1969 1.133 1970 1.093 1971 1.005 1972 1.056 1973 1.249 1974 1.211 1975 0.944 1976 1.062 1977 1.083 1978 0.965 1979 1.024 1980 1.146 1981 1.035 1982 0.969 1983 1.005 1984 0.969 1985 0.826 1986 0.731 1987 0.986 1988 0.916 1989 1.273 1990 1.127 1991 1.187