# australia_newz031 - Takahe Valley - 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/4072 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz031 - Takahe Valley - 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: Takahe Valley # Location: # Country: New Zealand # Northernmost_Latitude: -45.3 # Southernmost_Latitude: -45.3 # Easternmost_Longitude: 167.68 # Westernmost_Longitude: 167.68 # Elevation: 1100 m #-------------------- # Data_Collection # Collection_Name: australia_newz031B # Earliest_Year: 1760 # Most_Recent_Year: 1979 # 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":"5.74918662691","T2":"15.7155666945","M1":"0.0221818502888","M2":"0.429081069141"}} #-------------------- # Species # Species_Name: mountain beech nothofagus # Species_Code: NOSO #-------------------- # 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 1760 0.803 1761 0.653 1762 0.779 1763 0.69 1764 0.616 1765 0.652 1766 0.875 1767 0.774 1768 0.597 1769 0.98 1770 0.951 1771 1.101 1772 1.054 1773 1.039 1774 0.881 1775 1.315 1776 1.273 1777 1.358 1778 1.218 1779 1.338 1780 1.169 1781 1.222 1782 1.079 1783 1.452 1784 0.921 1785 1.086 1786 1.148 1787 1.182 1788 0.938 1789 1.099 1790 0.947 1791 1.014 1792 1.155 1793 1.361 1794 1.055 1795 1.04 1796 1.206 1797 0.785 1798 0.758 1799 0.969 1800 1.131 1801 0.868 1802 1.016 1803 0.981 1804 1.072 1805 1.393 1806 0.64 1807 1.041 1808 1.426 1809 1.203 1810 1.601 1811 1.521 1812 1.339 1813 1.283 1814 1.036 1815 0.972 1816 1.294 1817 0.87 1818 1.169 1819 0.911 1820 0.93 1821 0.541 1822 0.807 1823 0.111 1824 0.211 1825 1.162 1826 1.203 1827 1.104 1828 0.733 1829 1.161 1830 0.672 1831 0.699 1832 0.022 1833 -0.086 1834 0.04 1835 -0.086 1836 0.077 1837 0.637 1838 0.558 1839 0.803 1840 1.035 1841 0.986 1842 0.809 1843 0.705 1844 0.777 1845 0.784 1846 1.189 1847 1.053 1848 1.117 1849 1.545 1850 1.377 1851 1.109 1852 0.774 1853 1.004 1854 1.046 1855 1.123 1856 1.195 1857 1.06 1858 1.426 1859 1.076 1860 1.281 1861 1.272 1862 1.038 1863 1.082 1864 1.504 1865 1.319 1866 1.564 1867 1.005 1868 1.265 1869 1.216 1870 1.373 1871 1.366 1872 1.129 1873 1.039 1874 1.234 1875 1.562 1876 1.059 1877 0.694 1878 0.93 1879 1.421 1880 1.164 1881 1.319 1882 1.818 1883 0.722 1884 1.341 1885 1.617 1886 1.798 1887 0.865 1888 1.27 1889 1.165 1890 0.991 1891 1.634 1892 1.251 1893 1.76 1894 1.475 1895 0.849 1896 1.578 1897 0.916 1898 1.045 1899 0.918 1900 0.902 1901 1.096 1902 1.143 1903 1.213 1904 0.927 1905 0.88 1906 1.148 1907 0.859 1908 0.568 1909 0.759 1910 0.719 1911 0.348 1912 0.576 1913 0.923 1914 0.719 1915 0.897 1916 -0.075 1917 0.051 1918 0.845 1919 1.243 1920 1.08 1921 1.09 1922 0.495 1923 0.751 1924 0.488 1925 0.896 1926 1.077 1927 1.492 1928 0.809 1929 0.449 1930 0.655 1931 0.954 1932 0.997 1933 0.799 1934 1.121 1935 0.82 1936 0.921 1937 1.671 1938 0.578 1939 0.448 1940 0.972 1941 0.767 1942 0.397 1943 0.664 1944 0.944 1945 1.453 1946 1.368 1947 1.304 1948 0.982 1949 0.931 1950 1.135 1951 0.799 1952 0.864 1953 0.978 1954 0.618 1955 0.976 1956 0.876 1957 0.807 1958 1.026 1959 0.742 1960 1.287 1961 1.737 1962 1.501 1963 1.176 1964 1.284 1965 1.436 1966 0.974 1967 1.059 1968 0.994 1969 0.696 1970 0.687 1971 0.779 1972 0.685 1973 0.712 1974 0.82 1975 0.567 1976 0.761 1977 0.988 1978 0.546 1979 0.617