# australia_newz056 - Waihora Stream - 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/4082 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz056 - Waihora Stream - 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: Waihora Stream # Location: # Country: New Zealand # Northernmost_Latitude: -38.65 # Southernmost_Latitude: -38.65 # Easternmost_Longitude: 175.63 # Westernmost_Longitude: 175.63 # Elevation: 780 m #-------------------- # Data_Collection # Collection_Name: australia_newz056B # Earliest_Year: 1643 # Most_Recent_Year: 1986 # 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":"6.07545761841","T2":"12.4216517978","M1":"0.0228087701337","M2":"0.435581712588"}} #-------------------- # Species # Species_Name: toatoa celery pine celery pine # Species_Code: PHGL #-------------------- # 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 1643 0.64 1644 0.992 1645 0.996 1646 1.049 1647 0.716 1648 0.94 1649 0.835 1650 0.915 1651 1.016 1652 0.299 1653 0.689 1654 0.722 1655 1.003 1656 0.913 1657 0.493 1658 1.219 1659 1.121 1660 1.038 1661 0.683 1662 1.177 1663 1.244 1664 1.44 1665 1.182 1666 1.243 1667 1.481 1668 1.466 1669 1.755 1670 0.832 1671 1.365 1672 1.234 1673 0.877 1674 1.437 1675 0.834 1676 1.083 1677 0.707 1678 1.229 1679 1.253 1680 1.163 1681 0.879 1682 0.73 1683 1.176 1684 0.801 1685 1.066 1686 1.029 1687 0.582 1688 0.756 1689 0.915 1690 1.035 1691 0.925 1692 1.242 1693 0.7 1694 1.101 1695 0.971 1696 0.653 1697 0.997 1698 1.185 1699 0.729 1700 1.085 1701 0.838 1702 0.964 1703 1.047 1704 1.183 1705 0.689 1706 1.193 1707 0.552 1708 0.911 1709 0.6 1710 1.127 1711 0.971 1712 1.251 1713 0.61 1714 1.172 1715 0.749 1716 1.181 1717 0.994 1718 0.649 1719 1.106 1720 0.537 1721 1.085 1722 0.627 1723 1.079 1724 0.643 1725 0.93 1726 1.113 1727 0.7 1728 1.355 1729 0.991 1730 1.378 1731 0.672 1732 1.055 1733 1.042 1734 1.1 1735 0.549 1736 1.064 1737 1.011 1738 0.614 1739 1.204 1740 0.941 1741 0.801 1742 1.251 1743 0.653 1744 1.039 1745 1.233 1746 0.703 1747 1.08 1748 0.692 1749 1.024 1750 0.958 1751 1.13 1752 0.638 1753 1.026 1754 0.833 1755 1.373 1756 0.857 1757 1.269 1758 1.278 1759 1.446 1760 1.057 1761 1.434 1762 1.129 1763 1.211 1764 1.389 1765 0.72 1766 1.448 1767 0.625 1768 0.947 1769 0.77 1770 1.15 1771 0.801 1772 1.286 1773 0.898 1774 1.221 1775 1.474 1776 0.729 1777 1.273 1778 0.724 1779 1.345 1780 1.259 1781 0.841 1782 1.181 1783 1.324 1784 0.549 1785 0.855 1786 1.132 1787 0.83 1788 1.017 1789 1.217 1790 0.571 1791 0.858 1792 0.679 1793 1.171 1794 0.675 1795 1.084 1796 0.5 1797 1.388 1798 1.351 1799 0.963 1800 1.352 1801 0.993 1802 1.115 1803 1.274 1804 0.894 1805 1.23 1806 0.836 1807 1.286 1808 0.772 1809 0.978 1810 1.177 1811 0.653 1812 1.326 1813 1.227 1814 0.703 1815 1.309 1816 1.226 1817 0.532 1818 1.248 1819 0.905 1820 1.281 1821 1.092 1822 1.392 1823 1.037 1824 1.35 1825 1.136 1826 1.257 1827 1.278 1828 1.326 1829 1.282 1830 0.46 1831 0.882 1832 0.612 1833 1.043 1834 0.496 1835 0.64 1836 1.111 1837 0.981 1838 1.056 1839 1.218 1840 0.431 1841 1.074 1842 0.991 1843 1.055 1844 0.454 1845 1.165 1846 0.821 1847 0.572 1848 1.162 1849 0.621 1850 1.037 1851 1.107 1852 1.113 1853 1.116 1854 0.491 1855 1.042 1856 0.806 1857 1.164 1858 1.207 1859 0.56 1860 0.831 1861 0.677 1862 1.223 1863 0.923 1864 1.199 1865 0.632 1866 1.164 1867 0.665 1868 1.102 1869 0.986 1870 1.004 1871 1.345 1872 0.736 1873 1.04 1874 0.841 1875 1.395 1876 1.183 1877 1.235 1878 1.14 1879 0.933 1880 1.246 1881 1.363 1882 0.865 1883 0.983 1884 1.087 1885 0.467 1886 0.54 1887 0.526 1888 0.911 1889 0.541 1890 0.793 1891 1.006 1892 0.438 1893 0.84 1894 1.015 1895 0.665 1896 0.771 1897 0.993 1898 1.214 1899 0.97 1900 0.755 1901 1.206 1902 0.677 1903 1.033 1904 0.367 1905 0.97 1906 0.827 1907 0.359 1908 0.913 1909 1.35 1910 0.664 1911 1.123 1912 1.341 1913 0.487 1914 0.782 1915 1.034 1916 0.369 1917 1.132 1918 1.364 1919 1.379 1920 0.653 1921 1.426 1922 1.302 1923 1.209 1924 1.06 1925 1.241 1926 1.12 1927 1.483 1928 0.828 1929 1.171 1930 1.022 1931 0.829 1932 1.261 1933 1.11 1934 1.484 1935 0.643 1936 1.086 1937 1.151 1938 0.404 1939 0.734 1940 0.559 1941 0.956 1942 1.387 1943 0.628 1944 1.043 1945 1.066 1946 0.595 1947 1.002 1948 0.539 1949 0.906 1950 0.684 1951 0.881 1952 1.091 1953 0.618 1954 0.924 1955 1.007 1956 0.934 1957 1.314 1958 1.376 1959 0.615 1960 1.055 1961 1.217 1962 0.54 1963 1.125 1964 1.193 1965 0.906 1966 0.906 1967 1.248 1968 0.41 1969 1.076 1970 0.297 1971 0.646 1972 1.173 1973 0.426 1974 1.08 1975 0.888 1976 1.182 1977 0.686 1978 0.741 1979 1.122 1980 1.293 1981 0.72 1982 1.224 1983 1.322 1984 0.764 1985 1.152 1986 1.417