# australia_newz057 - Waihora Lagoon - 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/4081 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz057 - Waihora Lagoon - 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: Waihora Lagoon # Location: # Country: New Zealand # Northernmost_Latitude: -38.65 # Southernmost_Latitude: -38.65 # Easternmost_Longitude: 175.67 # Westernmost_Longitude: 175.67 # Elevation: 640 m #-------------------- # Data_Collection # Collection_Name: australia_newz057B # Earliest_Year: 1684 # Most_Recent_Year: 1985 # 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":"3.15339039418","T2":"12.834843787","M1":"0.0226675139954","M2":"0.605018844204"}} #-------------------- # Species # Species_Name: tanekaha celery top pine # Species_Code: PHTR #-------------------- # 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 1684 0.699 1685 0.863 1686 0.674 1687 0.787 1688 0.87 1689 0.96 1690 0.925 1691 1.062 1692 1.142 1693 0.979 1694 1.34 1695 1.291 1696 0.954 1697 0.772 1698 0.955 1699 0.712 1700 1.1 1701 1.063 1702 1.211 1703 1.225 1704 1.134 1705 0.845 1706 1.049 1707 0.623 1708 0.951 1709 0.772 1710 1.073 1711 0.811 1712 1.198 1713 0.811 1714 1.03 1715 0.71 1716 1.153 1717 0.713 1718 0.911 1719 0.89 1720 1.155 1721 1.266 1722 0.921 1723 1.216 1724 0.676 1725 1.162 1726 1.185 1727 1.193 1728 1.216 1729 0.995 1730 1.112 1731 0.681 1732 0.699 1733 0.826 1734 1.002 1735 0.979 1736 1.253 1737 1.145 1738 1.327 1739 1.292 1740 1.262 1741 0.603 1742 0.748 1743 0.755 1744 1.026 1745 1.134 1746 1.045 1747 1.236 1748 0.948 1749 1.43 1750 1.107 1751 1.343 1752 0.585 1753 0.871 1754 0.969 1755 1.058 1756 0.985 1757 1.272 1758 1.19 1759 1.531 1760 1.054 1761 1.413 1762 1.171 1763 1.183 1764 1.115 1765 0.711 1766 1.124 1767 0.563 1768 0.876 1769 0.793 1770 1.167 1771 1.032 1772 1.147 1773 0.852 1774 1.038 1775 1.256 1776 0.625 1777 0.79 1778 0.486 1779 0.982 1780 1.14 1781 0.817 1782 0.899 1783 0.992 1784 0.754 1785 0.999 1786 1.265 1787 1.112 1788 1.109 1789 1.157 1790 0.911 1791 1.346 1792 0.984 1793 1.34 1794 0.938 1795 1.01 1796 0.66 1797 1.067 1798 1.121 1799 0.979 1800 1.061 1801 0.959 1802 0.78 1803 1.099 1804 0.815 1805 0.727 1806 1.082 1807 1.182 1808 0.888 1809 0.826 1810 1.306 1811 0.869 1812 1.391 1813 0.996 1814 1.049 1815 1.282 1816 0.863 1817 1.113 1818 0.904 1819 1.058 1820 1.059 1821 1.102 1822 1.097 1823 1.134 1824 1.136 1825 1.158 1826 0.93 1827 1.377 1828 1.051 1829 1.365 1830 0.442 1831 0.615 1832 0.579 1833 0.969 1834 0.384 1835 0.463 1836 1.145 1837 0.842 1838 1.215 1839 0.901 1840 0.79 1841 1.147 1842 1.108 1843 1.27 1844 0.677 1845 1.219 1846 0.536 1847 0.457 1848 0.793 1849 0.557 1850 0.879 1851 0.887 1852 1.208 1853 0.977 1854 0.632 1855 1.035 1856 0.775 1857 1.179 1858 0.949 1859 1.198 1860 0.754 1861 0.845 1862 1.085 1863 1.002 1864 1.248 1865 0.798 1866 1.108 1867 0.588 1868 1.071 1869 0.834 1870 0.748 1871 0.877 1872 0.676 1873 0.821 1874 1.128 1875 1.26 1876 1.379 1877 1.462 1878 1.216 1879 0.796 1880 0.976 1881 1.506 1882 1.034 1883 0.876 1884 1.314 1885 0.926 1886 0.693 1887 1.004 1888 1.374 1889 0.727 1890 0.883 1891 1.029 1892 0.889 1893 1.283 1894 1.222 1895 1.167 1896 1.154 1897 1.214 1898 1.24 1899 1.354 1900 1.098 1901 1.633 1902 1.008 1903 1.167 1904 0.561 1905 1.224 1906 1.042 1907 0.482 1908 0.714 1909 1.107 1910 0.527 1911 0.876 1912 1.053 1913 0.547 1914 0.74 1915 1.323 1916 0.221 1917 0.553 1918 1.169 1919 1.196 1920 0.992 1921 1.217 1922 1.385 1923 0.886 1924 0.525 1925 0.911 1926 0.991 1927 0.861 1928 0.648 1929 1.281 1930 1.072 1931 1.351 1932 0.767 1933 1.146 1934 1.197 1935 0.588 1936 1.154 1937 0.962 1938 0.166 1939 0.378 1940 0.671 1941 0.884 1942 1.233 1943 0.923 1944 1.174 1945 1.172 1946 1.074 1947 1.138 1948 1.043 1949 1.333 1950 0.841 1951 1.126 1952 1.41 1953 0.912 1954 0.623 1955 0.434 1956 1.026 1957 1.231 1958 1.287 1959 1.204 1960 1.368 1961 1.075 1962 0.779 1963 1.24 1964 1.117 1965 1.473 1966 0.64 1967 1.106 1968 0.592 1969 1.456 1970 0.305 1971 0.501 1972 0.979 1973 0.537 1974 0.896 1975 1.215 1976 1.407 1977 0.975 1978 0.504 1979 0.609 1980 1.137 1981 0.795 1982 1.435 1983 1.596 1984 1.307 1985 0.714