# australia_newz015 - Okiwi - 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/3140 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz015 - Okiwi - 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: Okiwi # Location: # Country: New Zealand # Northernmost_Latitude: -41.12 # Southernmost_Latitude: -41.12 # Easternmost_Longitude: 173.67 # Westernmost_Longitude: 173.67 # Elevation: 15 m #-------------------- # Data_Collection # Collection_Name: australia_newz015B # Earliest_Year: 1746 # 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":"2.34842813652","T2":"10.806666382","M1":"0.0233189973866","M2":"0.640769695666"}} #-------------------- # 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 1746 1.219 1747 0.978 1748 0.642 1749 0.872 1750 0.678 1751 0.832 1752 0.598 1753 0.864 1754 0.697 1755 0.517 1756 0.762 1757 0.695 1758 0.746 1759 0.6 1760 0.743 1761 1.194 1762 0.767 1763 0.757 1764 0.973 1765 0.684 1766 0.831 1767 0.825 1768 0.898 1769 0.768 1770 0.639 1771 0.853 1772 0.773 1773 0.616 1774 0.689 1775 0.905 1776 0.284 1777 1.061 1778 0.895 1779 0.817 1780 0.669 1781 1.114 1782 0.794 1783 1.064 1784 0.419 1785 1.002 1786 0.699 1787 0.793 1788 0.755 1789 0.882 1790 0.28 1791 0.921 1792 0.736 1793 1.149 1794 0.661 1795 1.028 1796 0.845 1797 1.446 1798 0.978 1799 1.307 1800 0.72 1801 1.05 1802 0.526 1803 1.304 1804 0.741 1805 1.399 1806 0.633 1807 1.048 1808 1.011 1809 0.766 1810 1.291 1811 0.556 1812 0.872 1813 0.793 1814 1.021 1815 0.805 1816 1.412 1817 0.709 1818 0.999 1819 0.456 1820 1.292 1821 1.023 1822 1.612 1823 0.926 1824 1.137 1825 0.912 1826 1.519 1827 0.817 1828 0.547 1829 0.726 1830 0.129 1831 0.86 1832 0.756 1833 0.553 1834 0.054 1835 1.013 1836 0.68 1837 0.924 1838 0.559 1839 1.693 1840 0.462 1841 1.303 1842 1.269 1843 1.165 1844 1.171 1845 1.509 1846 0.681 1847 1.363 1848 1.372 1849 1.34 1850 1.058 1851 1.432 1852 1.551 1853 1.477 1854 0.78 1855 1.464 1856 1.086 1857 1.153 1858 1.026 1859 0.642 1860 0.913 1861 0.839 1862 0.886 1863 1.287 1864 1.656 1865 1.277 1866 0.815 1867 1.106 1868 1.642 1869 1.168 1870 1.148 1871 1.072 1872 0.885 1873 0.791 1874 0.914 1875 0.944 1876 0.729 1877 0.87 1878 1.008 1879 0.884 1880 0.637 1881 1.378 1882 0.959 1883 1.509 1884 1.289 1885 1.112 1886 0.827 1887 0.59 1888 1.23 1889 0.857 1890 0.905 1891 0.921 1892 0.803 1893 1.443 1894 1.239 1895 1.065 1896 1.225 1897 0.611 1898 0.919 1899 0.999 1900 0.995 1901 1.054 1902 0.783 1903 1.176 1904 0.462 1905 0.943 1906 0.794 1907 0.512 1908 0.52 1909 1.143 1910 0.391 1911 1.001 1912 0.951 1913 1.126 1914 0.894 1915 1.088 1916 0.518 1917 0.899 1918 1.04 1919 1.265 1920 0.991 1921 1.403 1922 1.138 1923 1.364 1924 0.904 1925 0.957 1926 1.035 1927 0.989 1928 0.821 1929 1.558 1930 1.141 1931 1.83 1932 0.946 1933 0.876 1934 0.433 1935 1.562 1936 1.441 1937 1.572 1938 0.545 1939 1.036 1940 2.004 1941 1.029 1942 1.895 1943 0.689 1944 0.999 1945 1.102 1946 1.137 1947 1.213 1948 1.276 1949 1.049 1950 0.965 1951 0.72 1952 1.161 1953 1.088 1954 1.329 1955 0.859 1956 0.709 1957 1.182 1958 1.209 1959 0.347 1960 0.697 1961 0.555 1962 0.507 1963 0.83 1964 0.816 1965 1.219 1966 1.488 1967 1.158 1968 1.032 1969 0.714 1970 0.282 1971 0.182 1972 0.668 1973 1.17 1974 0.787 1975 0.666 1976 0.658