# australia_newz083 - Hidden Valley NZ - 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/8531 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz083 - Hidden Valley NZ - 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: Hidden Valley NZ # Location: # Country: New Zealand # Northernmost_Latitude: -36.2 # Southernmost_Latitude: -36.2 # Easternmost_Longitude: 175.43 # Westernmost_Longitude: 175.43 # Elevation: 220 m #-------------------- # Data_Collection # Collection_Name: australia_newz083B # Earliest_Year: 1706 # Most_Recent_Year: 1997 # 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":"4.70124711715","T2":"11.5862628285","M1":"0.0225461604857","M2":"0.541570501094"}} #-------------------- # 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 1706 0.764 1707 0.823 1708 0.729 1709 0.848 1710 0.903 1711 1.008 1712 0.959 1713 1.154 1714 1.234 1715 0.714 1716 0.902 1717 1.098 1718 1.114 1719 1.17 1720 0.862 1721 1.028 1722 0.969 1723 0.938 1724 0.699 1725 0.845 1726 0.992 1727 0.918 1728 0.937 1729 0.756 1730 0.837 1731 0.622 1732 0.896 1733 1.13 1734 1.306 1735 0.906 1736 0.882 1737 0.895 1738 0.562 1739 0.854 1740 0.694 1741 0.891 1742 1.423 1743 1.134 1744 1.355 1745 0.89 1746 1.182 1747 1.342 1748 1.116 1749 1.026 1750 0.828 1751 0.984 1752 0.825 1753 0.902 1754 0.663 1755 0.92 1756 1.124 1757 0.883 1758 1.384 1759 1.101 1760 0.938 1761 1.011 1762 1.05 1763 1.059 1764 0.958 1765 0.817 1766 0.891 1767 0.87 1768 0.982 1769 1.185 1770 0.694 1771 0.977 1772 0.884 1773 0.912 1774 1.111 1775 0.941 1776 0.971 1777 1.159 1778 0.831 1779 1.205 1780 0.937 1781 1.078 1782 0.965 1783 0.83 1784 0.849 1785 1.115 1786 1.055 1787 0.813 1788 1.132 1789 0.752 1790 1.018 1791 1.284 1792 0.924 1793 0.822 1794 0.888 1795 0.665 1796 0.839 1797 1.032 1798 1.022 1799 1.187 1800 1.02 1801 0.972 1802 0.979 1803 0.916 1804 0.8 1805 0.941 1806 0.942 1807 1.237 1808 1.166 1809 1.326 1810 1.241 1811 1.312 1812 1.311 1813 1.184 1814 1.287 1815 1.329 1816 1.487 1817 1.07 1818 1.096 1819 0.952 1820 1.008 1821 0.933 1822 1.311 1823 0.874 1824 0.717 1825 0.994 1826 0.942 1827 1.101 1828 0.857 1829 1.324 1830 1.057 1831 1.551 1832 1.153 1833 1.425 1834 1.332 1835 1.256 1836 1.096 1837 1.512 1838 1.106 1839 0.867 1840 1.123 1841 0.782 1842 0.886 1843 0.968 1844 0.923 1845 1.128 1846 0.739 1847 1.038 1848 0.732 1849 0.881 1850 0.873 1851 1.038 1852 1.445 1853 1.54 1854 1.074 1855 1.068 1856 1.059 1857 1.074 1858 1.121 1859 0.804 1860 0.708 1861 0.676 1862 0.778 1863 0.721 1864 1.074 1865 0.971 1866 0.825 1867 0.814 1868 1.13 1869 1.049 1870 0.952 1871 0.894 1872 0.662 1873 0.529 1874 0.509 1875 0.64 1876 0.942 1877 0.826 1878 0.718 1879 0.859 1880 0.684 1881 0.875 1882 0.864 1883 1.021 1884 0.903 1885 0.881 1886 0.585 1887 0.568 1888 0.887 1889 0.567 1890 0.52 1891 0.747 1892 0.645 1893 0.856 1894 0.986 1895 0.973 1896 0.818 1897 0.805 1898 0.731 1899 0.77 1900 0.907 1901 0.843 1902 0.921 1903 0.471 1904 1.332 1905 1.282 1906 1.018 1907 0.692 1908 0.605 1909 0.826 1910 0.738 1911 1.265 1912 0.772 1913 1.345 1914 0.65 1915 1.227 1916 0.591 1917 0.957 1918 1.12 1919 1.402 1920 1.117 1921 1.033 1922 0.939 1923 1.184 1924 1.152 1925 0.997 1926 0.784 1927 0.834 1928 0.639 1929 0.582 1930 0.766 1931 0.936 1932 0.755 1933 0.838 1934 0.768 1935 0.8 1936 0.776 1937 0.638 1938 0.938 1939 0.789 1940 1.299 1941 0.752 1942 0.881 1943 0.654 1944 0.889 1945 0.578 1946 0.566 1947 0.333 1948 0.453 1949 1.069 1950 0.429 1951 1.072 1952 0.928 1953 0.593 1954 0.824 1955 0.475 1956 0.324 1957 0.733 1958 0.526 1959 0.878 1960 0.624 1961 1.097 1962 0.977 1963 1.645 1964 1.526 1965 1.707 1966 1.606 1967 1.485 1968 1.041 1969 0.815 1970 0.576 1971 0.741 1972 0.916 1973 0.64 1974 0.963 1975 0.824 1976 1.328 1977 1.351 1978 1.115 1979 0.776 1980 0.953 1981 0.926 1982 1.058 1983 0.844 1984 1.311 1985 0.981 1986 1.166 1987 0.76 1988 0.762 1989 0.664 1990 0.901 1991 1.258 1992 1.395 1993 1.489 1994 1.227 1995 1.08 1996 1.039 1997 0.898