# australia_newz064 - Clear Water - 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/5362 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz064 - Clear Water - 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: Clear Water # Location: # Country: New Zealand # Northernmost_Latitude: -39.63 # Southernmost_Latitude: -39.63 # Easternmost_Longitude: 176.1 # Westernmost_Longitude: 176.1 # Elevation: 1220 m #-------------------- # Data_Collection # Collection_Name: australia_newz064B # Earliest_Year: 1616 # 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":"6.07244713175","T2":"17.5868004143","M1":"0.0227884496532","M2":"0.422258205836"}} #-------------------- # 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 1616 0.723 1617 0.858 1618 0.84 1619 1.013 1620 0.91 1621 0.913 1622 0.863 1623 0.808 1624 0.947 1625 0.873 1626 0.957 1627 1.123 1628 1.042 1629 1.156 1630 1.153 1631 1.041 1632 1.141 1633 0.866 1634 0.784 1635 0.919 1636 1.059 1637 0.856 1638 0.807 1639 0.699 1640 0.847 1641 1.163 1642 1.13 1643 1.117 1644 1.106 1645 1.366 1646 1.273 1647 1.409 1648 1.308 1649 1.212 1650 1.122 1651 1.141 1652 0.667 1653 0.857 1654 0.827 1655 0.853 1656 0.98 1657 0.902 1658 0.978 1659 0.843 1660 0.756 1661 0.969 1662 1.08 1663 1.225 1664 0.995 1665 0.92 1666 0.961 1667 0.967 1668 1.064 1669 1.04 1670 0.804 1671 1.114 1672 1.232 1673 0.978 1674 1.103 1675 1.009 1676 1.11 1677 1.357 1678 0.974 1679 0.979 1680 0.952 1681 0.989 1682 1.055 1683 0.939 1684 0.972 1685 1.064 1686 0.814 1687 1.12 1688 1.273 1689 1.157 1690 1.26 1691 1.297 1692 1.401 1693 1.473 1694 1.274 1695 1.239 1696 1.097 1697 1.035 1698 0.888 1699 0.824 1700 0.812 1701 0.836 1702 0.92 1703 0.868 1704 0.789 1705 0.897 1706 1.266 1707 1.176 1708 0.866 1709 0.866 1710 0.953 1711 1.077 1712 1.093 1713 0.925 1714 1.047 1715 0.994 1716 0.887 1717 0.801 1718 0.753 1719 1.047 1720 1.213 1721 1.219 1722 1.149 1723 1.148 1724 1.192 1725 1.354 1726 1.32 1727 1.36 1728 1.772 1729 1.233 1730 1.63 1731 1.264 1732 1.109 1733 1.34 1734 1.403 1735 1.291 1736 1.49 1737 1.15 1738 1.008 1739 1.041 1740 1.048 1741 0.482 1742 0.509 1743 0.691 1744 0.544 1745 0.54 1746 0.58 1747 0.655 1748 0.688 1749 0.798 1750 0.727 1751 0.763 1752 0.52 1753 0.611 1754 0.69 1755 0.752 1756 0.701 1757 0.748 1758 0.672 1759 0.737 1760 0.984 1761 1.016 1762 0.946 1763 0.922 1764 0.811 1765 0.821 1766 0.978 1767 0.758 1768 0.719 1769 0.93 1770 0.769 1771 0.676 1772 0.768 1773 0.768 1774 0.713 1775 0.795 1776 0.83 1777 1.139 1778 1.145 1779 1.152 1780 1.148 1781 1.085 1782 0.803 1783 0.873 1784 0.957 1785 1.009 1786 1.031 1787 0.961 1788 0.939 1789 0.971 1790 0.95 1791 0.809 1792 0.694 1793 0.836 1794 0.789 1795 0.715 1796 0.791 1797 0.825 1798 0.825 1799 1.191 1800 1.377 1801 1.376 1802 1.302 1803 1.1 1804 1.359 1805 1.457 1806 1.221 1807 1.274 1808 1.131 1809 0.986 1810 0.864 1811 1.015 1812 0.944 1813 0.98 1814 1.282 1815 1.536 1816 1.3 1817 1.202 1818 1.295 1819 1.295 1820 1.029 1821 1.075 1822 1.001 1823 1.043 1824 1.116 1825 1.521 1826 1.043 1827 1.38 1828 1.423 1829 1.439 1830 0.977 1831 1.042 1832 0.873 1833 0.759 1834 0.951 1835 1.037 1836 0.942 1837 0.891 1838 0.887 1839 0.964 1840 0.896 1841 1.144 1842 0.975 1843 0.877 1844 0.827 1845 0.767 1846 0.622 1847 0.441 1848 0.473 1849 0.42 1850 0.556 1851 0.665 1852 0.765 1853 0.731 1854 0.848 1855 0.819 1856 0.91 1857 1.047 1858 0.937 1859 0.995 1860 0.863 1861 1.17 1862 1.078 1863 1.314 1864 1.315 1865 0.839 1866 1.081 1867 0.85 1868 0.968 1869 1.004 1870 0.978 1871 1.142 1872 0.722 1873 1.087 1874 1.235 1875 1.197 1876 1.153 1877 1.083 1878 1.257 1879 1.622 1880 1.394 1881 1.229 1882 1.186 1883 0.617 1884 0.489 1885 0.701 1886 0.795 1887 0.68 1888 0.661 1889 0.818 1890 0.819 1891 0.891 1892 0.927 1893 0.887 1894 0.857 1895 0.835 1896 1.109 1897 1.08 1898 1.182 1899 1.207 1900 1.256 1901 1.206 1902 1.018 1903 0.992 1904 1.098 1905 1.042 1906 0.896 1907 0.541 1908 0.834 1909 1.063 1910 0.855 1911 0.807 1912 0.631 1913 0.825 1914 0.968 1915 1.088 1916 0.702 1917 0.897 1918 0.767 1919 0.739 1920 0.703 1921 0.917 1922 0.878 1923 0.829 1924 0.706 1925 0.568 1926 0.741 1927 0.643 1928 0.648 1929 0.642 1930 0.485 1931 0.767 1932 1.31 1933 1.452 1934 1.745 1935 0.966 1936 0.899 1937 1.038 1938 0.82 1939 0.555 1940 0.834 1941 0.838 1942 0.83 1943 1.033 1944 1.064 1945 0.944 1946 0.957 1947 1.036 1948 0.971 1949 1.002 1950 1.176 1951 1.216 1952 1.077 1953 0.995 1954 0.852 1955 0.93 1956 0.967 1957 1.107 1958 1.18 1959 1.296 1960 1.137 1961 1.028 1962 1.061 1963 0.995 1964 0.968 1965 1.125 1966 1.003 1967 1.3 1968 1.064 1969 1.116 1970 1.106 1971 1.189 1972 1.052 1973 1.126 1974 1.029 1975 0.979 1976 0.964 1977 1.061 1978 0.809 1979 0.909 1980 0.943 1981 1.047 1982 1.012 1983 1.064 1984 1.064 1985 0.892 1986 0.875 1987 1.094 1988 1.071 1989 1.273 1990 0.962 1991 1.011