# australia_newz067 - Moa Park - 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/5368 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz067 - Moa Park - 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: Moa Park # Location: # Country: New Zealand # Northernmost_Latitude: -40.93 # Southernmost_Latitude: -40.93 # Easternmost_Longitude: 172.93 # Westernmost_Longitude: 172.93 # Elevation: 1036 m #-------------------- # Data_Collection # Collection_Name: australia_newz067B # Earliest_Year: 1490 # Most_Recent_Year: 1991 # 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":"5.26257996084","T2":"12.5606180916","M1":"0.0224176796802","M2":"0.526663409535"}} #-------------------- # Species # Species_Name: New Zealand cedar # Species_Code: LIBI #-------------------- # 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 1490 0.601 1491 0.529 1492 0.543 1493 0.543 1494 0.586 1495 0.514 1496 0.514 1497 0.499 1498 0.557 1499 0.406 1500 0.441 1501 0.495 1502 0.388 1503 0.396 1504 0.441 1505 0.468 1506 0.612 1507 0.488 1508 0.574 1509 0.541 1510 0.713 1511 0.528 1512 0.489 1513 0.717 1514 0.643 1515 0.758 1516 0.818 1517 0.591 1518 0.566 1519 0.611 1520 0.968 1521 1.228 1522 1.219 1523 1.138 1524 1.046 1525 1.223 1526 1.281 1527 1.303 1528 1.136 1529 1.033 1530 1.197 1531 0.892 1532 0.782 1533 0.829 1534 0.791 1535 0.757 1536 0.759 1537 0.795 1538 0.735 1539 0.736 1540 0.64 1541 0.495 1542 0.542 1543 0.638 1544 0.583 1545 0.401 1546 0.438 1547 0.576 1548 0.569 1549 0.515 1550 0.405 1551 0.532 1552 0.577 1553 0.679 1554 0.781 1555 0.755 1556 0.801 1557 0.638 1558 0.481 1559 0.56 1560 0.566 1561 0.504 1562 0.518 1563 0.451 1564 0.651 1565 0.668 1566 0.415 1567 0.319 1568 0.538 1569 0.593 1570 0.635 1571 0.562 1572 0.521 1573 0.746 1574 0.777 1575 0.637 1576 0.705 1577 0.766 1578 0.838 1579 0.723 1580 0.685 1581 0.681 1582 0.77 1583 0.711 1584 0.677 1585 0.648 1586 0.771 1587 0.759 1588 0.564 1589 0.585 1590 0.827 1591 0.793 1592 0.815 1593 0.85 1594 0.844 1595 0.662 1596 0.836 1597 0.756 1598 0.84 1599 0.995 1600 0.954 1601 1.046 1602 0.574 1603 0.588 1604 0.662 1605 0.699 1606 0.702 1607 0.77 1608 0.658 1609 0.769 1610 0.693 1611 0.862 1612 0.887 1613 0.821 1614 0.83 1615 1.014 1616 0.883 1617 1.069 1618 0.921 1619 0.739 1620 0.702 1621 0.688 1622 0.709 1623 0.727 1624 0.86 1625 0.684 1626 0.484 1627 0.544 1628 0.617 1629 0.804 1630 0.916 1631 0.848 1632 0.94 1633 0.731 1634 0.836 1635 0.89 1636 1.089 1637 0.828 1638 0.96 1639 0.999 1640 0.9 1641 0.894 1642 0.941 1643 0.864 1644 0.847 1645 0.904 1646 0.815 1647 1.006 1648 0.88 1649 0.648 1650 0.804 1651 0.916 1652 0.674 1653 1.035 1654 0.9 1655 0.9 1656 1.067 1657 1.067 1658 1.358 1659 0.882 1660 0.839 1661 0.905 1662 0.767 1663 0.902 1664 0.98 1665 1.035 1666 0.874 1667 0.728 1668 0.912 1669 1.226 1670 1.073 1671 1.417 1672 1.154 1673 1.233 1674 1.084 1675 1.041 1676 0.858 1677 1.092 1678 1.129 1679 1.163 1680 1.276 1681 1.362 1682 1 1683 1.188 1684 1.212 1685 1.455 1686 1.124 1687 1.135 1688 1.313 1689 1.381 1690 1.255 1691 1.021 1692 1.29 1693 1.36 1694 1.474 1695 1.339 1696 1.053 1697 1.083 1698 0.985 1699 1.042 1700 1.11 1701 1.042 1702 0.895 1703 1.12 1704 0.937 1705 0.934 1706 1.214 1707 1.059 1708 0.963 1709 1.046 1710 0.965 1711 1.035 1712 1.223 1713 1.026 1714 1.185 1715 1.373 1716 1.298 1717 1.133 1718 0.898 1719 0.901 1720 0.996 1721 1.013 1722 0.813 1723 1 1724 0.887 1725 0.994 1726 1.25 1727 1.258 1728 1.804 1729 1.444 1730 1.371 1731 1.231 1732 1.068 1733 1.304 1734 1.382 1735 1.212 1736 1.267 1737 1.112 1738 0.977 1739 1.145 1740 1.05 1741 0.663 1742 0.852 1743 1.315 1744 0.899 1745 1.126 1746 1.076 1747 1.062 1748 1.136 1749 1.175 1750 1.478 1751 1.5 1752 1.025 1753 0.981 1754 1.335 1755 1.173 1756 1.045 1757 0.968 1758 0.814 1759 0.847 1760 1.248 1761 1.301 1762 1.337 1763 1.456 1764 1.413 1765 0.955 1766 1.172 1767 1.074 1768 0.923 1769 1.279 1770 0.966 1771 1.149 1772 1.209 1773 1.12 1774 1.142 1775 1.154 1776 0.95 1777 1.006 1778 1.14 1779 0.987 1780 0.994 1781 1.332 1782 1.215 1783 1.291 1784 0.952 1785 0.917 1786 0.978 1787 0.873 1788 0.933 1789 0.986 1790 0.951 1791 1.054 1792 1.156 1793 1.125 1794 0.849 1795 0.977 1796 0.9 1797 0.938 1798 0.859 1799 0.992 1800 1 1801 0.861 1802 0.977 1803 1.006 1804 1.218 1805 1.2 1806 1.158 1807 1.176 1808 1.231 1809 1.2 1810 0.986 1811 0.695 1812 0.889 1813 0.786 1814 0.561 1815 0.941 1816 0.85 1817 0.793 1818 0.984 1819 0.685 1820 0.867 1821 1.051 1822 0.976 1823 0.913 1824 0.988 1825 1.162 1826 0.839 1827 1.16 1828 1.285 1829 1.232 1830 0.922 1831 1.102 1832 1.086 1833 0.899 1834 0.538 1835 0.665 1836 0.815 1837 0.825 1838 1.174 1839 1.006 1840 0.712 1841 0.877 1842 0.868 1843 0.856 1844 0.867 1845 1.027 1846 0.612 1847 0.601 1848 0.868 1849 0.963 1850 1.063 1851 0.93 1852 1.221 1853 0.94 1854 0.602 1855 0.693 1856 0.948 1857 0.942 1858 0.94 1859 0.914 1860 1.155 1861 1.085 1862 1.06 1863 1.088 1864 1.104 1865 1.253 1866 1.38 1867 1.172 1868 1.299 1869 1.244 1870 0.821 1871 1.062 1872 0.736 1873 0.755 1874 0.938 1875 0.968 1876 1.202 1877 1.121 1878 1.327 1879 1.493 1880 1.333 1881 1.132 1882 1.153 1883 1.087 1884 1.094 1885 1.017 1886 1.075 1887 0.684 1888 1.045 1889 1.088 1890 1.175 1891 1.129 1892 1.183 1893 1.284 1894 0.982 1895 0.948 1896 1.018 1897 1.017 1898 1.259 1899 1.047 1900 1.071 1901 1.075 1902 0.973 1903 0.831 1904 0.646 1905 0.647 1906 0.627 1907 0.544 1908 0.493 1909 0.409 1910 0.507 1911 0.596 1912 0.528 1913 0.58 1914 0.753 1915 0.933 1916 0.725 1917 0.949 1918 1.068 1919 1.024 1920 1.095 1921 1.425 1922 1.307 1923 1.313 1924 0.893 1925 0.888 1926 1.012 1927 0.809 1928 0.655 1929 0.585 1930 0.531 1931 0.645 1932 0.749 1933 0.879 1934 1.14 1935 0.708 1936 0.998 1937 1.048 1938 0.891 1939 0.44 1940 0.491 1941 0.544 1942 0.597 1943 0.574 1944 0.785 1945 0.76 1946 0.762 1947 0.749 1948 0.777 1949 0.929 1950 0.879 1951 1.13 1952 1.078 1953 0.956 1954 0.679 1955 0.705 1956 0.585 1957 0.62 1958 0.481 1959 0.47 1960 0.478 1961 0.598 1962 0.65 1963 0.861 1964 0.996 1965 1.099 1966 0.933 1967 0.851 1968 0.807 1969 0.771 1970 0.609 1971 0.574 1972 0.623 1973 0.552 1974 0.52 1975 0.588 1976 0.683 1977 0.781 1978 0.766 1979 1.145 1980 1.224 1981 0.819 1982 0.996 1983 1.191 1984 1.205 1985 1.139 1986 0.978 1987 1.1 1988 1.166 1989 1.24 1990 1.145 1991 1.058