# australia_newz072 - Hauhungatahi Site A Tongariro - 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/5364 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz072 - Hauhungatahi Site A Tongariro - 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: Hauhungatahi Site A Tongariro # Location: # Country: New Zealand # Northernmost_Latitude: -39.23 # Southernmost_Latitude: -39.23 # Easternmost_Longitude: 175.43 # Westernmost_Longitude: 175.43 # Elevation: 1160 m #-------------------- # Data_Collection # Collection_Name: australia_newz072B # Earliest_Year: 1614 # Most_Recent_Year: 1992 # 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":"6.15703303796","T2":"15.6481861005","M1":"0.0225084701871","M2":"0.405313265281"}} #-------------------- # 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 1614 0.672 1615 0.678 1616 0.582 1617 0.524 1618 0.453 1619 0.427 1620 0.483 1621 0.463 1622 0.508 1623 0.537 1624 0.703 1625 0.666 1626 0.863 1627 0.805 1628 0.741 1629 0.937 1630 0.925 1631 0.879 1632 0.92 1633 0.759 1634 0.661 1635 0.843 1636 0.906 1637 0.829 1638 0.85 1639 0.838 1640 0.847 1641 0.913 1642 0.999 1643 1.015 1644 1.065 1645 1.104 1646 0.881 1647 1.06 1648 1.033 1649 0.999 1650 0.944 1651 0.995 1652 0.771 1653 0.931 1654 0.864 1655 0.816 1656 0.952 1657 0.906 1658 1.03 1659 0.758 1660 0.709 1661 0.726 1662 0.776 1663 0.932 1664 0.929 1665 0.998 1666 0.958 1667 0.918 1668 1.108 1669 1.21 1670 1.125 1671 1.555 1672 1.411 1673 1.222 1674 1.119 1675 1.039 1676 1.058 1677 1.217 1678 0.793 1679 1.054 1680 1.046 1681 1.132 1682 0.913 1683 1.124 1684 1.045 1685 1.022 1686 0.821 1687 0.92 1688 1.068 1689 1.193 1690 1.135 1691 1.334 1692 1.369 1693 1.769 1694 1.406 1695 1.209 1696 1.018 1697 0.952 1698 1.025 1699 0.966 1700 0.908 1701 1.008 1702 1.036 1703 1.184 1704 1.04 1705 1.008 1706 1.419 1707 1.177 1708 0.921 1709 0.917 1710 0.898 1711 1.231 1712 1.525 1713 1.319 1714 1.463 1715 1.341 1716 1.382 1717 1.069 1718 0.873 1719 1.266 1720 1.273 1721 1.313 1722 1.067 1723 1.085 1724 1.226 1725 1.322 1726 1.168 1727 1.167 1728 1.511 1729 1.121 1730 1.264 1731 0.938 1732 0.867 1733 1.013 1734 0.982 1735 1.087 1736 1.11 1737 0.863 1738 0.98 1739 1.091 1740 1.103 1741 0.751 1742 0.871 1743 1.07 1744 0.917 1745 1.09 1746 0.975 1747 1.054 1748 1.087 1749 1.144 1750 1.06 1751 1.048 1752 0.674 1753 0.896 1754 0.852 1755 0.984 1756 0.888 1757 1.058 1758 0.888 1759 1.025 1760 1.458 1761 1.55 1762 1.515 1763 1.432 1764 1.288 1765 0.937 1766 1.116 1767 0.946 1768 0.991 1769 1.329 1770 0.933 1771 1.147 1772 1.214 1773 1.067 1774 0.975 1775 1.065 1776 1.006 1777 1.068 1778 1.011 1779 0.837 1780 0.853 1781 0.834 1782 0.689 1783 0.748 1784 0.757 1785 0.762 1786 0.849 1787 0.832 1788 0.926 1789 1.026 1790 0.907 1791 0.803 1792 0.714 1793 0.821 1794 0.749 1795 0.896 1796 0.951 1797 0.982 1798 0.843 1799 1.035 1800 1.132 1801 0.994 1802 1.002 1803 0.783 1804 1.11 1805 1.379 1806 1.088 1807 1.007 1808 0.932 1809 0.871 1810 0.7 1811 0.962 1812 0.94 1813 0.859 1814 0.854 1815 1.077 1816 1.103 1817 1.036 1818 1.011 1819 1.017 1820 0.831 1821 0.831 1822 0.887 1823 0.992 1824 0.956 1825 1.155 1826 0.891 1827 1.128 1828 1.16 1829 1.149 1830 0.615 1831 0.57 1832 0.617 1833 0.445 1834 0.562 1835 0.571 1836 0.629 1837 0.721 1838 0.79 1839 0.793 1840 0.726 1841 1.059 1842 0.991 1843 0.915 1844 0.902 1845 1.0 1846 0.764 1847 0.674 1848 0.854 1849 0.885 1850 1.01 1851 1.007 1852 0.868 1853 0.911 1854 0.795 1855 0.708 1856 0.809 1857 0.739 1858 0.608 1859 0.746 1860 1.058 1861 1.574 1862 1.39 1863 1.371 1864 1.202 1865 1.073 1866 1.15 1867 0.79 1868 0.895 1869 1.015 1870 0.959 1871 0.997 1872 0.61 1873 0.876 1874 0.995 1875 0.902 1876 0.899 1877 0.899 1878 0.914 1879 1.013 1880 0.878 1881 0.83 1882 0.766 1883 0.629 1884 0.518 1885 0.57 1886 0.79 1887 0.831 1888 0.82 1889 0.997 1890 1.015 1891 0.934 1892 1.111 1893 0.891 1894 0.881 1895 0.803 1896 1.267 1897 1.274 1898 1.276 1899 1.391 1900 1.401 1901 1.368 1902 1.126 1903 1.168 1904 0.796 1905 0.916 1906 1.048 1907 0.669 1908 0.752 1909 0.956 1910 0.809 1911 0.769 1912 0.58 1913 0.801 1914 1.131 1915 1.302 1916 0.835 1917 1.229 1918 1.054 1919 1.202 1920 1.078 1921 1.62 1922 1.444 1923 1.598 1924 0.94 1925 0.789 1926 0.96 1927 0.873 1928 0.807 1929 0.726 1930 0.686 1931 1.118 1932 1.449 1933 1.63 1934 1.617 1935 0.881 1936 0.912 1937 1.098 1938 0.671 1939 0.838 1940 1.19 1941 1.13 1942 0.968 1943 1.07 1944 1.056 1945 0.877 1946 0.751 1947 0.939 1948 0.79 1949 0.752 1950 0.95 1951 0.847 1952 0.844 1953 0.93 1954 0.643 1955 0.659 1956 0.633 1957 0.869 1958 0.856 1959 1.033 1960 1.042 1961 0.965 1962 0.786 1963 0.978 1964 0.916 1965 0.846 1966 0.822 1967 1.017 1968 0.821 1969 0.926 1970 0.845 1971 0.959 1972 0.953 1973 1.172 1974 1.028 1975 0.976 1976 1.124 1977 1.077 1978 0.96 1979 0.956 1980 0.85 1981 0.91 1982 0.999 1983 1.158 1984 0.93 1985 1.034 1986 0.908 1987 1.137 1988 0.864 1989 1.169 1990 1.092 1991 1.098 1992 1.037