# australia_newz059 - Ahaura Recollection - 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/5361 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz059 - Ahaura Recollection - 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: Ahaura Recollection # Location: # Country: New Zealand # Northernmost_Latitude: -42.38 # Southernmost_Latitude: -42.38 # Easternmost_Longitude: 171.8 # Westernmost_Longitude: 171.8 # Elevation: 244 m #-------------------- # Data_Collection # Collection_Name: australia_newz059B # Earliest_Year: 1602 # Most_Recent_Year: 1976 # 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":"5.246830902","T2":"14.5946041359","M1":"0.0224569166268","M2":"0.429406555011"}} #-------------------- # 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 1602 0.864 1603 1.129 1604 1.441 1605 1.428 1606 0.963 1607 1.063 1608 0.721 1609 0.794 1610 0.657 1611 0.589 1612 0.91 1613 0.875 1614 0.842 1615 0.757 1616 0.667 1617 0.593 1618 0.589 1619 0.555 1620 0.638 1621 0.748 1622 0.694 1623 0.774 1624 0.989 1625 0.884 1626 0.673 1627 0.879 1628 1.319 1629 1.27 1630 1.079 1631 0.983 1632 0.982 1633 0.753 1634 0.822 1635 0.862 1636 1.029 1637 0.677 1638 0.568 1639 0.819 1640 1.172 1641 1.03 1642 1.022 1643 0.959 1644 1.119 1645 1.196 1646 1.033 1647 0.91 1648 0.76 1649 0.757 1650 0.843 1651 1.118 1652 0.918 1653 1.138 1654 1.068 1655 0.896 1656 0.858 1657 0.983 1658 1.087 1659 1.024 1660 0.951 1661 0.902 1662 0.673 1663 0.673 1664 0.908 1665 0.866 1666 0.804 1667 0.576 1668 0.952 1669 0.892 1670 1.065 1671 1.364 1672 1.418 1673 1.365 1674 1.339 1675 1.023 1676 1.025 1677 1.151 1678 1.109 1679 0.942 1680 1.035 1681 1.234 1682 0.945 1683 0.843 1684 0.797 1685 1.093 1686 0.864 1687 0.921 1688 1.466 1689 1.432 1690 1.281 1691 0.775 1692 0.934 1693 0.985 1694 1.122 1695 1.266 1696 0.991 1697 0.899 1698 0.872 1699 0.739 1700 0.686 1701 0.84 1702 0.721 1703 0.699 1704 0.744 1705 0.586 1706 0.771 1707 0.585 1708 0.628 1709 1.01 1710 0.802 1711 1.073 1712 0.923 1713 0.767 1714 1.111 1715 1.338 1716 1.393 1717 1.226 1718 0.958 1719 1.17 1720 1.033 1721 1.115 1722 1.031 1723 1.173 1724 1.08 1725 1.084 1726 0.928 1727 0.925 1728 1.071 1729 0.643 1730 0.848 1731 0.606 1732 0.537 1733 0.834 1734 1.051 1735 0.978 1736 0.945 1737 0.793 1738 0.72 1739 1.147 1740 1.022 1741 0.657 1742 0.862 1743 0.862 1744 0.836 1745 1.136 1746 1.18 1747 1.009 1748 1.235 1749 1.023 1750 0.95 1751 1.109 1752 0.823 1753 0.917 1754 0.936 1755 0.955 1756 0.943 1757 0.755 1758 0.741 1759 0.815 1760 1.013 1761 0.978 1762 1.121 1763 1.414 1764 1.53 1765 1.205 1766 1.334 1767 1.32 1768 1.089 1769 1.094 1770 0.501 1771 0.763 1772 0.688 1773 0.813 1774 0.785 1775 0.876 1776 0.818 1777 1.025 1778 0.865 1779 0.738 1780 1.041 1781 1.18 1782 1.258 1783 0.994 1784 0.725 1785 0.838 1786 0.945 1787 0.939 1788 1.035 1789 1.2 1790 1.064 1791 0.869 1792 1.173 1793 1.205 1794 0.816 1795 0.619 1796 0.677 1797 0.762 1798 1.076 1799 0.891 1800 1.101 1801 0.816 1802 1.137 1803 1.055 1804 1.214 1805 1.191 1806 0.653 1807 0.77 1808 1.196 1809 1.151 1810 1.339 1811 1.341 1812 1.696 1813 1.485 1814 1.147 1815 1.004 1816 0.89 1817 0.976 1818 1.265 1819 0.854 1820 0.938 1821 0.644 1822 0.813 1823 0.87 1824 0.893 1825 0.866 1826 0.373 1827 0.587 1828 0.771 1829 0.741 1830 0.614 1831 0.695 1832 0.817 1833 0.677 1834 0.94 1835 1.166 1836 1.692 1837 1.843 1838 1.679 1839 1.423 1840 0.902 1841 1.028 1842 1.051 1843 1.279 1844 1.109 1845 1.229 1846 1.088 1847 1.066 1848 1.022 1849 0.936 1850 1.288 1851 1.234 1852 1.366 1853 1.164 1854 1.042 1855 0.835 1856 0.954 1857 1.411 1858 1.211 1859 0.783 1860 0.884 1861 0.986 1862 1.255 1863 1.492 1864 1.287 1865 1.091 1866 1.109 1867 0.841 1868 0.868 1869 0.629 1870 0.782 1871 0.73 1872 0.519 1873 0.384 1874 0.525 1875 0.615 1876 0.509 1877 0.737 1878 1.008 1879 1.032 1880 0.861 1881 0.921 1882 0.931 1883 1.01 1884 1.068 1885 0.788 1886 0.731 1887 0.59 1888 0.979 1889 0.966 1890 0.869 1891 0.89 1892 1.004 1893 1.047 1894 0.817 1895 0.855 1896 0.905 1897 0.763 1898 0.762 1899 0.834 1900 0.879 1901 1.035 1902 1.134 1903 0.943 1904 0.804 1905 0.752 1906 0.769 1907 0.46 1908 0.511 1909 0.354 1910 0.442 1911 0.75 1912 0.785 1913 0.899 1914 0.86 1915 0.88 1916 0.392 1917 0.213 1918 0.376 1919 0.518 1920 0.575 1921 0.543 1922 0.749 1923 1.131 1924 1.164 1925 1.126 1926 1.021 1927 1.079 1928 0.719 1929 0.75 1930 0.856 1931 0.802 1932 1.06 1933 1.148 1934 1.184 1935 0.755 1936 1.022 1937 1.293 1938 0.81 1939 0.871 1940 0.992 1941 0.989 1942 1.252 1943 1.021 1944 1.108 1945 1.196 1946 1.186 1947 0.808 1948 0.873 1949 0.94 1950 0.778 1951 0.666 1952 0.95 1953 0.846 1954 0.808 1955 0.83 1956 0.712 1957 0.962 1958 1.065 1959 1.252 1960 1.185 1961 1.126 1962 1.027 1963 1.028 1964 1.018 1965 0.945 1966 0.863 1967 0.819 1968 0.754 1969 0.84 1970 0.848 1971 0.706 1972 0.863 1973 0.907 1974 0.887 1975 0.938 1976 1.302