# australia_newz068 - Ohutu Ridge - 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/5371 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz068 - Ohutu Ridge - 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: Ohutu Ridge # Location: # Country: New Zealand # Northernmost_Latitude: -39.62 # Southernmost_Latitude: -39.62 # Easternmost_Longitude: 176.12 # Westernmost_Longitude: 176.12 # Elevation: 1140 m #-------------------- # Data_Collection # Collection_Name: australia_newz068B # Earliest_Year: 1708 # 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":"5.21560821235","T2":"17.6962523796","M1":"0.0220799393644","M2":"0.378957450284"}} #-------------------- # 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 1708 0.409 1709 0.431 1710 0.413 1711 0.606 1712 0.75 1713 0.657 1714 0.743 1715 0.756 1716 0.802 1717 0.679 1718 0.543 1719 0.854 1720 0.937 1721 0.833 1722 0.797 1723 0.809 1724 1.247 1725 1.266 1726 1.236 1727 1.389 1728 1.657 1729 1.354 1730 1.607 1731 1.243 1732 1.123 1733 1.242 1734 1.302 1735 1.05 1736 1.036 1737 0.859 1738 0.766 1739 0.875 1740 0.962 1741 0.974 1742 1.094 1743 1.297 1744 0.879 1745 1.117 1746 0.859 1747 0.843 1748 0.888 1749 0.831 1750 0.776 1751 0.891 1752 0.911 1753 0.977 1754 0.87 1755 0.936 1756 1.02 1757 1.081 1758 0.913 1759 0.953 1760 1.077 1761 1.14 1762 1.071 1763 0.922 1764 0.93 1765 0.914 1766 1.036 1767 0.966 1768 0.911 1769 1.205 1770 0.789 1771 0.877 1772 0.924 1773 0.982 1774 0.879 1775 0.862 1776 0.969 1777 1.269 1778 1.312 1779 1.237 1780 1.087 1781 1.063 1782 0.906 1783 1.004 1784 1.114 1785 1.03 1786 1.029 1787 0.884 1788 0.928 1789 1.0 1790 0.951 1791 0.784 1792 0.607 1793 0.775 1794 0.717 1795 0.742 1796 0.885 1797 1.023 1798 0.892 1799 1.127 1800 1.37 1801 1.266 1802 1.267 1803 1.1 1804 1.351 1805 1.384 1806 1.259 1807 1.236 1808 1.138 1809 0.959 1810 0.836 1811 0.981 1812 0.929 1813 0.881 1814 1.309 1815 1.464 1816 1.223 1817 1.119 1818 1.291 1819 1.278 1820 1.089 1821 1.064 1822 1.069 1823 1.028 1824 1.111 1825 1.457 1826 1.074 1827 1.279 1828 1.244 1829 1.313 1830 1.021 1831 1.066 1832 0.903 1833 0.754 1834 0.936 1835 1.108 1836 1.046 1837 1.073 1838 1.12 1839 1.077 1840 1.105 1841 1.47 1842 1.247 1843 1.201 1844 1.041 1845 1.033 1846 0.866 1847 0.629 1848 0.78 1849 0.798 1850 0.983 1851 1.072 1852 1.142 1853 1.034 1854 1.097 1855 1.052 1856 1.036 1857 1.091 1858 0.972 1859 1.179 1860 0.951 1861 1.502 1862 1.428 1863 1.555 1864 1.485 1865 1.01 1866 1.398 1867 1.038 1868 1.172 1869 1.081 1870 1.038 1871 1.052 1872 0.536 1873 0.871 1874 0.959 1875 0.935 1876 0.891 1877 0.904 1878 0.936 1879 1.278 1880 1.156 1881 1.145 1882 1.092 1883 0.584 1884 0.596 1885 0.818 1886 0.845 1887 0.776 1888 0.756 1889 1.063 1890 1.081 1891 1.099 1892 1.135 1893 1.233 1894 1.16 1895 1.022 1896 1.211 1897 1.105 1898 1.135 1899 0.983 1900 0.983 1901 1.038 1902 0.791 1903 0.76 1904 0.81 1905 0.934 1906 0.791 1907 0.52 1908 0.822 1909 1.169 1910 0.972 1911 0.807 1912 0.601 1913 0.831 1914 0.978 1915 1.243 1916 0.822 1917 1.136 1918 0.925 1919 1.024 1920 0.864 1921 1.066 1922 0.876 1923 0.773 1924 0.554 1925 0.493 1926 0.79 1927 0.631 1928 0.567 1929 0.475 1930 0.304 1931 0.466 1932 0.939 1933 1.226 1934 1.425 1935 0.889 1936 0.946 1937 0.98 1938 0.651 1939 0.454 1940 0.655 1941 0.751 1942 0.874 1943 1.122 1944 1.148 1945 0.84 1946 0.896 1947 0.988 1948 0.771 1949 0.818 1950 0.905 1951 0.997 1952 0.99 1953 0.815 1954 0.681 1955 0.662 1956 0.683 1957 0.868 1958 1.004 1959 1.161 1960 1.072 1961 0.75 1962 0.793 1963 0.913 1964 0.927 1965 1.069 1966 0.982 1967 1.224 1968 1.004 1969 1.001 1970 0.972 1971 1.004 1972 0.9 1973 0.99 1974 0.98 1975 0.899 1976 0.905 1977 0.952 1978 0.718 1979 0.879 1980 1.027 1981 0.958 1982 1.233 1983 1.428 1984 1.195 1985 1.102 1986 0.945 1987 1.216 1988 1.209 1989 1.365 1990 1.131 1991 1.258