# australia_newz081 - Warawara - 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/8491 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz081 - Warawara - 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: Warawara # Location: # Country: New Zealand # Northernmost_Latitude: -35.37 # Southernmost_Latitude: -35.37 # Easternmost_Longitude: 173.28 # Westernmost_Longitude: 173.28 # Elevation: 468 m #-------------------- # Data_Collection # Collection_Name: australia_newz081B # Earliest_Year: 1690 # Most_Recent_Year: 2002 # 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":"5.22254344084","T2":"18.8661621615","M1":"0.0225859409882","M2":"0.39051026397"}} #-------------------- # Species # Species_Name: kauri pine # Species_Code: AGAU #-------------------- # 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 1690 0.731 1691 1.233 1692 1.084 1693 0.923 1694 1.253 1695 1.122 1696 1.14 1697 1.061 1698 1.334 1699 0.852 1700 1.18 1701 0.848 1702 1.233 1703 1.086 1704 1.235 1705 0.799 1706 1.268 1707 0.636 1708 1.045 1709 0.563 1710 0.857 1711 0.911 1712 1.047 1713 1.023 1714 1.133 1715 0.744 1716 0.924 1717 1.006 1718 0.994 1719 1.245 1720 0.973 1721 1.258 1722 0.694 1723 1.363 1724 0.443 1725 1.251 1726 1.243 1727 1.279 1728 1.312 1729 1.282 1730 1.074 1731 1.309 1732 0.863 1733 1.09 1734 0.917 1735 0.842 1736 0.975 1737 0.79 1738 0.612 1739 0.636 1740 0.572 1741 0.492 1742 1.012 1743 0.486 1744 0.868 1745 0.743 1746 1.154 1747 1.167 1748 0.665 1749 1.141 1750 0.416 1751 1.001 1752 0.635 1753 1.228 1754 0.886 1755 1.241 1756 0.873 1757 1.007 1758 1.364 1759 1.552 1760 0.619 1761 1.259 1762 1.093 1763 0.933 1764 0.856 1765 0.881 1766 0.86 1767 0.671 1768 1.187 1769 1.236 1770 0.838 1771 0.796 1772 0.823 1773 1.023 1774 0.901 1775 0.98 1776 0.793 1777 0.91 1778 0.678 1779 0.964 1780 0.648 1781 0.767 1782 0.82 1783 0.434 1784 0.844 1785 1.213 1786 1.343 1787 1.221 1788 1.171 1789 1.181 1790 0.772 1791 1.136 1792 0.566 1793 0.868 1794 0.765 1795 0.612 1796 0.844 1797 1.192 1798 1.353 1799 1.617 1800 1.134 1801 1.118 1802 0.997 1803 0.991 1804 0.797 1805 0.889 1806 1.246 1807 0.872 1808 0.997 1809 1.605 1810 1.019 1811 1.39 1812 0.937 1813 1.189 1814 0.892 1815 1.284 1816 1.543 1817 0.7 1818 0.802 1819 0.614 1820 1.319 1821 0.887 1822 1.334 1823 0.989 1824 1.212 1825 0.682 1826 1.368 1827 1.278 1828 1.178 1829 1.429 1830 1.022 1831 1.803 1832 0.932 1833 1.313 1834 0.673 1835 0.99 1836 0.88 1837 0.919 1838 1.06 1839 0.323 1840 1.329 1841 1.154 1842 1.224 1843 1.289 1844 0.994 1845 1.014 1846 0.533 1847 0.631 1848 0.752 1849 0.582 1850 0.73 1851 0.894 1852 0.695 1853 1.23 1854 0.69 1855 0.643 1856 0.609 1857 0.806 1858 0.803 1859 0.746 1860 0.644 1861 0.865 1862 1.223 1863 0.91 1864 1.442 1865 0.882 1866 0.885 1867 0.554 1868 1.034 1869 0.669 1870 0.732 1871 0.995 1872 0.902 1873 1.293 1874 0.934 1875 0.599 1876 0.842 1877 0.921 1878 0.413 1879 0.874 1880 0.988 1881 1.171 1882 1.137 1883 0.746 1884 1.376 1885 0.866 1886 0.855 1887 0.535 1888 0.903 1889 0.572 1890 0.714 1891 1.276 1892 0.557 1893 1.209 1894 1.209 1895 1.201 1896 1.453 1897 0.88 1898 1.097 1899 1.11 1900 1.073 1901 1.028 1902 0.711 1903 0.769 1904 0.524 1905 0.876 1906 0.372 1907 0.464 1908 0.787 1909 0.611 1910 0.472 1911 1.132 1912 0.704 1913 1.039 1914 0.882 1915 0.471 1916 0.41 1917 1.198 1918 1.09 1919 1.536 1920 0.817 1921 1.625 1922 1.118 1923 1.288 1924 1.229 1925 1.247 1926 0.82 1927 1.346 1928 0.454 1929 1.025 1930 0.883 1931 1.136 1932 1.159 1933 1.096 1934 1.246 1935 0.775 1936 0.843 1937 0.939 1938 0.796 1939 0.732 1940 1.082 1941 0.528 1942 1.116 1943 0.619 1944 1.23 1945 0.757 1946 0.897 1947 0.676 1948 0.623 1949 1.072 1950 0.595 1951 1.273 1952 0.873 1953 1.136 1954 0.98 1955 1.215 1956 1.134 1957 1.787 1958 1.322 1959 1.831 1960 0.903 1961 1.952 1962 1.12 1963 2.074 1964 0.938 1965 1.025 1966 0.686 1967 1.436 1968 0.66 1969 1.004 1970 0.465 1971 1.374 1972 0.686 1973 0.591 1974 0.941 1975 0.608 1976 0.784 1977 0.551 1978 0.756 1979 0.737 1980 0.605 1981 0.411 1982 1.172 1983 0.765 1984 0.665 1985 0.983 1986 0.972 1987 0.521 1988 0.685 1989 0.94 1990 1.297 1991 1.131 1992 1.775 1993 1.095 1994 1.237 1995 0.864 1996 1.275 1997 1.4 1998 1.267 1999 1.955 2000 1.976 2001 1.772 2002 1.347