# australia_newz082 - Cascades - 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/8507 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz082 - Cascades - 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: Cascades # Location: # Country: New Zealand # Northernmost_Latitude: -36.88 # Southernmost_Latitude: -36.88 # Easternmost_Longitude: 174.53 # Westernmost_Longitude: 174.53 # Elevation: 180 m #-------------------- # Data_Collection # Collection_Name: australia_newz082B # Earliest_Year: 1621 # Most_Recent_Year: 1982 # 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":"4.35751087909","T2":"14.8164048386","M1":"0.0227411253467","M2":"0.475490832984"}} #-------------------- # Species # Species_Name: kauri pine # Species_Code: AGAU #-------------------- # 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 1621 1.102 1622 0.898 1623 0.826 1624 0.793 1625 0.774 1626 0.938 1627 1.048 1628 1.156 1629 0.882 1630 1.164 1631 1.023 1632 0.731 1633 0.656 1634 0.852 1635 0.774 1636 0.917 1637 0.816 1638 0.824 1639 0.909 1640 0.832 1641 1.06 1642 1.048 1643 1.0 1644 0.721 1645 0.776 1646 0.844 1647 0.734 1648 0.803 1649 0.738 1650 0.997 1651 0.848 1652 0.728 1653 0.906 1654 0.712 1655 0.958 1656 0.678 1657 0.956 1658 0.954 1659 0.974 1660 1.186 1661 0.864 1662 0.682 1663 0.831 1664 1.064 1665 1.05 1666 1.101 1667 1.501 1668 1.225 1669 1.386 1670 1.334 1671 1.465 1672 1.141 1673 1.103 1674 1.057 1675 0.982 1676 1.117 1677 0.823 1678 0.658 1679 0.839 1680 0.854 1681 0.923 1682 0.69 1683 0.894 1684 0.712 1685 0.906 1686 0.985 1687 1.151 1688 1.121 1689 1.046 1690 0.962 1691 1.212 1692 1.002 1693 1.031 1694 1.346 1695 1.245 1696 1.249 1697 1.301 1698 1.209 1699 1.165 1700 1.161 1701 1.015 1702 0.976 1703 1.288 1704 1.109 1705 0.853 1706 0.832 1707 0.869 1708 0.835 1709 0.925 1710 1.007 1711 1.192 1712 0.909 1713 0.891 1714 0.892 1715 0.661 1716 0.89 1717 0.978 1718 1.131 1719 1.183 1720 1.106 1721 0.825 1722 0.848 1723 1.053 1724 0.41 1725 0.595 1726 0.799 1727 0.697 1728 0.954 1729 0.761 1730 0.901 1731 0.746 1732 0.61 1733 1.151 1734 1.234 1735 0.95 1736 1.43 1737 1.241 1738 0.895 1739 0.886 1740 0.67 1741 0.892 1742 1.001 1743 0.728 1744 1.003 1745 0.575 1746 1.19 1747 1.249 1748 1.074 1749 0.874 1750 0.675 1751 0.921 1752 0.748 1753 0.855 1754 0.795 1755 0.998 1756 0.983 1757 0.814 1758 1.299 1759 1.04 1760 0.966 1761 1.105 1762 0.879 1763 1.015 1764 0.963 1765 0.958 1766 0.788 1767 0.843 1768 0.873 1769 1.108 1770 0.805 1771 0.944 1772 0.772 1773 0.927 1774 1.096 1775 0.968 1776 1.001 1777 1.068 1778 0.969 1779 0.996 1780 0.813 1781 0.942 1782 0.985 1783 0.697 1784 1.051 1785 0.975 1786 0.959 1787 0.881 1788 1.315 1789 0.797 1790 1.197 1791 1.547 1792 0.893 1793 1.077 1794 1.146 1795 0.815 1796 1.005 1797 1.197 1798 1.286 1799 1.491 1800 0.929 1801 1.451 1802 1.167 1803 1.129 1804 0.783 1805 0.802 1806 1.021 1807 1.099 1808 0.846 1809 1.2 1810 0.965 1811 1.125 1812 1.031 1813 0.904 1814 0.741 1815 1.0 1816 1.084 1817 0.951 1818 0.925 1819 0.963 1820 0.986 1821 0.78 1822 0.911 1823 0.921 1824 0.947 1825 0.898 1826 1.114 1827 1.432 1828 1.302 1829 1.467 1830 1.143 1831 1.719 1832 1.15 1833 1.28 1834 1.361 1835 0.943 1836 1.049 1837 1.161 1838 1.353 1839 0.699 1840 1.123 1841 0.894 1842 0.914 1843 1.136 1844 0.889 1845 1.205 1846 0.592 1847 0.822 1848 0.769 1849 0.745 1850 0.914 1851 1.085 1852 1.429 1853 1.232 1854 1.137 1855 1.22 1856 1.126 1857 1.283 1858 1.122 1859 0.845 1860 0.739 1861 0.706 1862 0.821 1863 0.726 1864 1.204 1865 0.999 1866 0.815 1867 0.739 1868 1.115 1869 1.061 1870 0.928 1871 0.746 1872 0.621 1873 0.759 1874 0.789 1875 0.756 1876 0.811 1877 1.118 1878 0.615 1879 0.923 1880 0.751 1881 1.027 1882 0.687 1883 0.752 1884 1.124 1885 0.939 1886 0.578 1887 0.618 1888 0.833 1889 0.472 1890 0.532 1891 0.985 1892 0.626 1893 0.832 1894 0.769 1895 0.876 1896 0.741 1897 0.668 1898 0.728 1899 1.014 1900 0.709 1901 0.78 1902 1.01 1903 0.842 1904 1.404 1905 0.961 1906 1.105 1907 0.66 1908 0.671 1909 0.813 1910 0.716 1911 1.055 1912 0.734 1913 1.205 1914 1.225 1915 0.632 1916 0.714 1917 1.09 1918 1.368 1919 1.396 1920 1.158 1921 0.533 1922 0.524 1923 0.37 1924 0.482 1925 0.517 1926 0.589 1927 0.698 1928 0.61 1929 0.625 1930 0.978 1931 0.985 1932 0.73 1933 0.919 1934 0.628 1935 0.584 1936 0.663 1937 1.045 1938 0.908 1939 1.023 1940 1.504 1941 0.862 1942 0.949 1943 0.697 1944 0.872 1945 0.692 1946 0.684 1947 0.89 1948 0.667 1949 0.962 1950 0.828 1951 0.881 1952 0.726 1953 0.654 1954 0.854 1955 0.725 1956 0.685 1957 1.003 1958 0.801 1959 1.06 1960 0.752 1961 0.979 1962 0.714 1963 1.415 1964 1.173 1965 1.337 1966 1.2 1967 1.116 1968 1.025 1969 0.8 1970 0.587 1971 0.846 1972 0.685 1973 0.636 1974 0.826 1975 1.206 1976 1.682 1977 1.544 1978 1.533 1979 1.081 1980 1.058 1981 1.076 1982 1.429