# australia_newz009 - Lake Waikareiti - 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/3132 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz009 - Lake Waikareiti - 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: Lake Waikareiti # Location: # Country: New Zealand # Northernmost_Latitude: -38.7 # Southernmost_Latitude: -38.7 # Easternmost_Longitude: 177.2 # Westernmost_Longitude: 177.2 # Elevation: 853 m #-------------------- # Data_Collection # Collection_Name: australia_newz009B # Earliest_Year: 1535 # Most_Recent_Year: 1976 # 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":"5.04911898812","T2":"14.0512004983","M1":"0.0224617235751","M2":"0.393283255247"}} #-------------------- # 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 1535 1.044 1536 1.402 1537 0.916 1538 0.746 1539 1.019 1540 0.946 1541 0.796 1542 1.009 1543 0.708 1544 1.351 1545 0.853 1546 0.854 1547 0.612 1548 0.919 1549 0.676 1550 0.631 1551 0.984 1552 0.462 1553 1.089 1554 1.154 1555 0.834 1556 0.508 1557 1.374 1558 1.008 1559 0.968 1560 0.925 1561 1.232 1562 1.171 1563 0.632 1564 1.106 1565 0.874 1566 0.543 1567 0.516 1568 0.514 1569 0.538 1570 0.949 1571 0.873 1572 0.837 1573 1.425 1574 1.25 1575 0.599 1576 1.232 1577 0.989 1578 1.308 1579 0.645 1580 1.537 1581 1.235 1582 0.889 1583 1.288 1584 1.117 1585 1.052 1586 1.187 1587 0.769 1588 1.279 1589 0.706 1590 1.167 1591 1.069 1592 0.805 1593 0.924 1594 0.583 1595 0.994 1596 1.135 1597 0.944 1598 0.518 1599 0.826 1600 1.015 1601 0.969 1602 0.243 1603 0.544 1604 0.691 1605 0.655 1606 0.338 1607 1.056 1608 0.607 1609 0.914 1610 0.551 1611 1.041 1612 0.817 1613 1.136 1614 1.056 1615 1.191 1616 0.657 1617 1.31 1618 1.174 1619 1.038 1620 0.644 1621 0.605 1622 0.401 1623 1.255 1624 1.169 1625 0.511 1626 1.27 1627 1.558 1628 0.621 1629 1.48 1630 1.061 1631 1.184 1632 0.437 1633 0.862 1634 0.975 1635 0.485 1636 0.975 1637 0.738 1638 1.092 1639 0.727 1640 1.026 1641 0.672 1642 1.102 1643 0.6 1644 1.174 1645 0.759 1646 1.143 1647 0.917 1648 1.024 1649 0.71 1650 1.302 1651 1.078 1652 1.043 1653 1.236 1654 0.673 1655 1.195 1656 1.436 1657 0.872 1658 1.55 1659 1.213 1660 1.126 1661 0.631 1662 1.044 1663 0.813 1664 1.236 1665 0.756 1666 1.233 1667 0.701 1668 1.316 1669 1.264 1670 0.715 1671 1.358 1672 1.252 1673 1.074 1674 1.178 1675 0.444 1676 0.997 1677 0.836 1678 1.25 1679 1.354 1680 0.962 1681 1.474 1682 0.928 1683 1.539 1684 0.745 1685 1.115 1686 1.09 1687 0.396 1688 0.837 1689 0.659 1690 1.123 1691 0.638 1692 1.4 1693 0.834 1694 1.571 1695 1.421 1696 0.829 1697 0.778 1698 1.264 1699 0.501 1700 1.172 1701 0.94 1702 1.147 1703 0.715 1704 1.384 1705 1.177 1706 1.635 1707 0.897 1708 1.359 1709 0.697 1710 1.025 1711 0.941 1712 1.09 1713 0.435 1714 1.161 1715 0.79 1716 1.234 1717 1.043 1718 0.413 1719 1.139 1720 0.911 1721 1.101 1722 0.408 1723 1.114 1724 0.523 1725 0.927 1726 1.023 1727 0.58 1728 0.806 1729 1.133 1730 1.418 1731 0.479 1732 1.181 1733 1.327 1734 1.197 1735 0.325 1736 1.035 1737 1.015 1738 0.655 1739 0.869 1740 0.722 1741 0.75 1742 1.377 1743 0.594 1744 1.253 1745 1.436 1746 0.764 1747 1.293 1748 0.789 1749 1.57 1750 0.8 1751 1.251 1752 0.453 1753 1.283 1754 1.227 1755 1.039 1756 0.432 1757 1.397 1758 1.259 1759 1.338 1760 0.761 1761 1.469 1762 1.202 1763 1.195 1764 0.711 1765 1.059 1766 1.38 1767 0.241 1768 0.799 1769 0.561 1770 0.975 1771 0.277 1772 0.834 1773 0.357 1774 1.384 1775 1.343 1776 0.421 1777 0.98 1778 0.57 1779 1.222 1780 0.834 1781 1.117 1782 1.237 1783 0.792 1784 1.439 1785 1.426 1786 1.005 1787 1.184 1788 0.895 1789 1.128 1790 0.667 1791 1.045 1792 0.928 1793 1.137 1794 0.472 1795 1.295 1796 0.566 1797 1.265 1798 0.986 1799 0.524 1800 1.257 1801 1.111 1802 1.598 1803 1.371 1804 0.592 1805 1.124 1806 1.518 1807 1.701 1808 0.581 1809 1.402 1810 1.219 1811 0.445 1812 1.339 1813 0.897 1814 1.182 1815 0.913 1816 1.049 1817 0.641 1818 1.012 1819 0.256 1820 0.795 1821 0.796 1822 0.84 1823 0.647 1824 1.638 1825 1.439 1826 1.476 1827 0.997 1828 1.29 1829 0.997 1830 0.565 1831 1.087 1832 0.561 1833 1.173 1834 0.484 1835 0.795 1836 0.919 1837 0.332 1838 1.211 1839 1.045 1840 0.9 1841 1.118 1842 1.264 1843 1.077 1844 0.481 1845 1.067 1846 0.709 1847 0.575 1848 1.211 1849 0.422 1850 1.249 1851 0.741 1852 1.203 1853 0.893 1854 0.918 1855 1.04 1856 0.671 1857 1.375 1858 1.362 1859 0.962 1860 1.075 1861 1.074 1862 1.418 1863 0.766 1864 1.261 1865 0.766 1866 1.313 1867 0.601 1868 1.333 1869 1.177 1870 0.679 1871 1.231 1872 0.345 1873 0.872 1874 0.559 1875 1.223 1876 1.049 1877 1.424 1878 0.991 1879 1.555 1880 1.268 1881 1.653 1882 0.87 1883 1.082 1884 1.008 1885 0.403 1886 0.921 1887 0.517 1888 1.189 1889 0.687 1890 1.28 1891 0.729 1892 1.417 1893 1.054 1894 1.442 1895 1.118 1896 1.064 1897 1.57 1898 1.227 1899 1.481 1900 1.022 1901 1.596 1902 0.918 1903 1.312 1904 0.675 1905 1.196 1906 0.772 1907 0.651 1908 0.988 1909 1.406 1910 0.358 1911 1.131 1912 1.095 1913 0.371 1914 0.923 1915 0.558 1916 1.123 1917 1.283 1918 0.967 1919 0.835 1920 0.683 1921 1.165 1922 1.316 1923 0.774 1924 1.312 1925 1.375 1926 0.768 1927 1.045 1928 0.645 1929 1.022 1930 0.774 1931 0.726 1932 0.626 1933 0.852 1934 1.055 1935 0.347 1936 0.938 1937 0.597 1938 0.774 1939 1.18 1940 0.78 1941 1.014 1942 1.462 1943 0.609 1944 1.485 1945 1.364 1946 0.882 1947 1.29 1948 0.442 1949 0.805 1950 0.643 1951 1.014 1952 0.551 1953 1.199 1954 0.486 1955 0.685 1956 0.739 1957 0.891 1958 0.736 1959 0.803 1960 0.778 1961 1.369 1962 0.644 1963 1.266 1964 1.207 1965 0.998 1966 0.829 1967 1.378 1968 0.624 1969 1.103 1970 0.404 1971 0.884 1972 1.204 1973 0.355 1974 1.178 1975 0.686 1976 1.093