# australia_newz070 - Rahu Saddle - 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/5372 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz070 - Rahu Saddle - 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: Rahu Saddle # Location: # Country: New Zealand # Northernmost_Latitude: -42.32 # Southernmost_Latitude: -42.32 # Easternmost_Longitude: 172.12 # Westernmost_Longitude: 172.12 # Elevation: 672 m #-------------------- # Data_Collection # Collection_Name: australia_newz070B # Earliest_Year: 1653 # 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":"4.43983921201","T2":"13.2794444815","M1":"0.0228016054304","M2":"0.482791789645"}} #-------------------- # 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 1653 0.861 1654 0.75 1655 0.806 1656 0.789 1657 0.655 1658 0.646 1659 0.685 1660 0.629 1661 0.687 1662 0.725 1663 0.85 1664 0.947 1665 0.975 1666 1.016 1667 0.862 1668 1.015 1669 0.746 1670 0.823 1671 1.322 1672 1.145 1673 0.862 1674 0.943 1675 1.1 1676 1.038 1677 0.997 1678 0.648 1679 0.697 1680 0.822 1681 1.08 1682 0.787 1683 0.817 1684 0.93 1685 1.034 1686 0.86 1687 0.718 1688 0.972 1689 1.038 1690 1.057 1691 0.824 1692 1.005 1693 1.09 1694 1.214 1695 1.094 1696 1.014 1697 0.675 1698 0.892 1699 0.837 1700 0.865 1701 0.89 1702 0.714 1703 0.724 1704 0.734 1705 0.726 1706 0.743 1707 0.542 1708 0.677 1709 0.795 1710 0.679 1711 0.901 1712 0.793 1713 0.644 1714 0.793 1715 0.796 1716 0.924 1717 0.779 1718 0.732 1719 0.89 1720 1.184 1721 0.953 1722 0.789 1723 1.068 1724 1.266 1725 1.225 1726 1.087 1727 1.375 1728 1.946 1729 1.138 1730 1.161 1731 0.928 1732 0.902 1733 1.108 1734 1.371 1735 1.358 1736 1.157 1737 0.881 1738 0.843 1739 1.109 1740 1.071 1741 0.696 1742 1.043 1743 1.026 1744 0.927 1745 1.697 1746 1.628 1747 1.554 1748 1.503 1749 1.148 1750 0.957 1751 1.427 1752 0.903 1753 0.728 1754 0.719 1755 0.872 1756 0.762 1757 0.72 1758 0.708 1759 0.785 1760 1.152 1761 1.166 1762 1.238 1763 1.313 1764 1.434 1765 1.309 1766 1.444 1767 1.202 1768 1.03 1769 1.186 1770 0.504 1771 0.661 1772 0.552 1773 0.604 1774 0.577 1775 0.735 1776 0.584 1777 0.972 1778 0.916 1779 0.783 1780 0.898 1781 1.09 1782 1.149 1783 1.244 1784 0.897 1785 0.939 1786 0.936 1787 0.78 1788 0.6 1789 0.9 1790 0.803 1791 0.804 1792 0.941 1793 0.882 1794 0.815 1795 0.779 1796 0.715 1797 0.884 1798 0.909 1799 0.843 1800 0.936 1801 0.681 1802 0.76 1803 0.842 1804 1.282 1805 1.375 1806 0.928 1807 0.846 1808 1.249 1809 1.382 1810 1.351 1811 1.253 1812 1.364 1813 1.23 1814 1.136 1815 1.351 1816 1.232 1817 1.009 1818 1.188 1819 1.025 1820 0.936 1821 0.862 1822 0.923 1823 0.922 1824 1.08 1825 1.201 1826 0.635 1827 0.997 1828 1.228 1829 1.027 1830 0.869 1831 0.978 1832 0.795 1833 0.663 1834 0.639 1835 0.775 1836 0.965 1837 0.994 1838 0.945 1839 0.927 1840 0.76 1841 0.944 1842 0.907 1843 0.971 1844 1.031 1845 1.163 1846 1.03 1847 1.011 1848 1.075 1849 0.88 1850 1.081 1851 1.033 1852 1.067 1853 1.082 1854 0.814 1855 0.802 1856 0.875 1857 1.16 1858 1.03 1859 0.864 1860 1.212 1861 1.221 1862 1.088 1863 1.017 1864 1.093 1865 1.058 1866 1.147 1867 0.83 1868 0.901 1869 0.842 1870 0.738 1871 0.644 1872 0.462 1873 0.492 1874 0.874 1875 0.975 1876 0.978 1877 1.31 1878 1.321 1879 1.413 1880 1.005 1881 0.847 1882 0.783 1883 0.743 1884 1.024 1885 0.864 1886 1.028 1887 0.873 1888 1.098 1889 1.175 1890 1.189 1891 1.137 1892 1.397 1893 1.404 1894 1.11 1895 1.291 1896 1.603 1897 1.553 1898 1.532 1899 1.573 1900 1.374 1901 1.342 1902 1.149 1903 1.08 1904 0.749 1905 0.756 1906 0.857 1907 0.552 1908 0.513 1909 0.31 1910 0.261 1911 0.364 1912 0.417 1913 0.627 1914 0.784 1915 0.92 1916 0.589 1917 0.789 1918 0.815 1919 0.927 1920 1.005 1921 1.124 1922 1.119 1923 1.216 1924 1.163 1925 1.061 1926 1.302 1927 1.328 1928 1.023 1929 1.035 1930 0.911 1931 1.014 1932 1.533 1933 1.617 1934 1.401 1935 0.703 1936 0.792 1937 0.866 1938 0.517 1939 0.592 1940 0.815 1941 0.972 1942 0.928 1943 1.005 1944 1.158 1945 1.203 1946 1.197 1947 0.988 1948 1.099 1949 1.188 1950 1.158 1951 0.733 1952 0.867 1953 0.643 1954 0.672 1955 0.514 1956 0.392 1957 0.489 1958 0.517 1959 0.566 1960 0.742 1961 0.636 1962 0.647 1963 0.801 1964 0.752 1965 0.757 1966 0.759 1967 0.743 1968 0.706 1969 0.605 1970 0.657 1971 0.525 1972 0.692 1973 0.715 1974 0.863 1975 0.816 1976 0.82 1977 0.951 1978 0.784 1979 0.773 1980 0.636 1981 0.627 1982 0.78 1983 0.886 1984 0.982 1985 0.87 1986 0.855 1987 1.091 1988 0.986 1989 1.302 1990 1.217 1991 1.082