# australia_newz016 - Owaka - 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/3141 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz016 - Owaka - 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: Owaka # Location: # Country: New Zealand # Northernmost_Latitude: -46.38 # Southernmost_Latitude: -46.38 # Easternmost_Longitude: 169.45 # Westernmost_Longitude: 169.45 # Elevation: 305 m #-------------------- # Data_Collection # Collection_Name: australia_newz016B # Earliest_Year: 1773 # 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":"3.42010737194","T2":"11.9784854207","M1":"0.0227731195054","M2":"0.587088268657"}} #-------------------- # 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 1773 0.86 1774 0.903 1775 0.95 1776 0.886 1777 1.023 1778 0.879 1779 1.037 1780 1.071 1781 1.075 1782 1.12 1783 0.966 1784 0.967 1785 0.899 1786 0.998 1787 0.877 1788 1.085 1789 0.966 1790 0.959 1791 0.857 1792 0.958 1793 1.072 1794 0.834 1795 0.994 1796 1.064 1797 0.972 1798 1.005 1799 1.05 1800 1.075 1801 0.956 1802 1.173 1803 1.137 1804 1.097 1805 1.079 1806 1.01 1807 0.973 1808 1.043 1809 1.013 1810 1.15 1811 1.234 1812 1.286 1813 1.245 1814 1.181 1815 1.22 1816 1.155 1817 0.779 1818 0.892 1819 0.963 1820 0.996 1821 0.637 1822 0.885 1823 0.919 1824 0.991 1825 1.0 1826 0.933 1827 1.01 1828 0.981 1829 0.89 1830 0.544 1831 0.84 1832 0.854 1833 0.769 1834 0.666 1835 0.792 1836 0.817 1837 0.797 1838 0.9 1839 0.856 1840 0.68 1841 0.91 1842 0.828 1843 0.933 1844 1.149 1845 1.3 1846 1.11 1847 1.105 1848 1.011 1849 0.88 1850 0.924 1851 1.099 1852 1.056 1853 0.963 1854 0.596 1855 0.803 1856 0.906 1857 0.963 1858 0.932 1859 0.523 1860 0.706 1861 0.774 1862 0.906 1863 0.976 1864 1.08 1865 1.026 1866 1.194 1867 0.976 1868 1.188 1869 1.253 1870 1.213 1871 1.113 1872 0.789 1873 1.008 1874 1.161 1875 1.119 1876 1.009 1877 1.245 1878 1.259 1879 1.203 1880 1.186 1881 1.239 1882 1.152 1883 0.873 1884 1.208 1885 1.147 1886 1.185 1887 1.048 1888 1.276 1889 1.155 1890 1.268 1891 1.113 1892 1.17 1893 1.467 1894 1.345 1895 1.472 1896 1.357 1897 1.094 1898 1.259 1899 1.295 1900 1.095 1901 1.125 1902 1.017 1903 0.974 1904 0.742 1905 0.97 1906 0.808 1907 0.536 1908 0.855 1909 0.642 1910 0.627 1911 0.789 1912 0.782 1913 0.483 1914 0.7 1915 0.777 1916 0.624 1917 1.001 1918 1.031 1919 0.981 1920 0.873 1921 1.087 1922 1.08 1923 1.01 1924 0.618 1925 0.941 1926 1.161 1927 1.038 1928 1.099 1929 1.194 1930 1.1 1931 0.945 1932 0.946 1933 1.099 1934 0.948 1935 0.73 1936 1.136 1937 1.0 1938 0.555 1939 0.586 1940 0.764 1941 0.753 1942 0.971 1943 0.935 1944 1.069 1945 1.226 1946 1.112 1947 1.295 1948 1.319 1949 1.32 1950 1.23 1951 1.267 1952 1.266 1953 1.336 1954 1.175 1955 1.065 1956 0.557 1957 0.771 1958 0.742 1959 0.799 1960 0.851 1961 0.836 1962 0.671 1963 1.032 1964 1.055 1965 1.083 1966 0.995 1967 1.143 1968 1.135 1969 1.057 1970 0.79 1971 0.713 1972 0.763 1973 0.729 1974 0.695 1975 0.657 1976 0.721