# australia_newz066 - Hihitahi - 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/5367 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz066 - Hihitahi - 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: Hihitahi # Location: # Country: New Zealand # Northernmost_Latitude: -39.53 # Southernmost_Latitude: -39.53 # Easternmost_Longitude: 175.73 # Westernmost_Longitude: 175.73 # Elevation: 976 m #-------------------- # Data_Collection # Collection_Name: australia_newz066B # Earliest_Year: 1431 # 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":"5.05083667251","T2":"15.1898412617","M1":"0.0227183228618","M2":"0.453926868764"}} #-------------------- # 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 1431 0.805 1432 0.78 1433 1.107 1434 0.852 1435 0.876 1436 1.086 1437 1.132 1438 0.877 1439 0.95 1440 1.088 1441 0.939 1442 0.686 1443 0.595 1444 0.544 1445 0.521 1446 0.856 1447 0.895 1448 0.939 1449 1.052 1450 1.15 1451 1.112 1452 0.736 1453 1.07 1454 1.009 1455 0.793 1456 0.613 1457 0.729 1458 0.912 1459 1.036 1460 0.764 1461 1.141 1462 1.005 1463 1.201 1464 1.196 1465 1.145 1466 1.3 1467 1.111 1468 0.618 1469 0.817 1470 0.753 1471 0.74 1472 0.725 1473 0.644 1474 0.451 1475 0.692 1476 0.673 1477 0.68 1478 0.637 1479 0.705 1480 0.916 1481 1.009 1482 0.921 1483 0.958 1484 0.957 1485 0.885 1486 0.903 1487 0.763 1488 0.696 1489 0.996 1490 1.054 1491 0.971 1492 1.055 1493 0.856 1494 0.641 1495 0.998 1496 0.954 1497 1.067 1498 0.937 1499 0.967 1500 1.153 1501 1.293 1502 1.2 1503 1.104 1504 1.011 1505 1.208 1506 1.141 1507 1.073 1508 1.1 1509 0.94 1510 0.881 1511 0.855 1512 0.606 1513 0.887 1514 0.721 1515 0.757 1516 0.973 1517 0.978 1518 0.965 1519 0.895 1520 0.87 1521 0.834 1522 0.948 1523 0.92 1524 0.926 1525 0.838 1526 0.891 1527 0.873 1528 0.912 1529 0.833 1530 0.82 1531 0.814 1532 1.075 1533 1.129 1534 1.143 1535 1.09 1536 1.257 1537 1.306 1538 0.994 1539 0.808 1540 0.863 1541 0.662 1542 0.731 1543 0.663 1544 0.703 1545 0.834 1546 0.963 1547 1.198 1548 1.261 1549 1.462 1550 1.415 1551 1.471 1552 0.733 1553 0.978 1554 1.136 1555 1.055 1556 0.932 1557 0.993 1558 0.939 1559 1.358 1560 1.057 1561 1.199 1562 1.093 1563 1.053 1564 1.067 1565 1.185 1566 0.721 1567 0.83 1568 0.885 1569 0.867 1570 0.941 1571 1.142 1572 1.053 1573 1.167 1574 1.134 1575 1.035 1576 0.831 1577 0.943 1578 1.008 1579 0.673 1580 0.822 1581 0.758 1582 0.697 1583 0.99 1584 0.996 1585 0.933 1586 1.109 1587 1.324 1588 1.376 1589 1.218 1590 1.246 1591 1.086 1592 0.901 1593 1.128 1594 0.851 1595 0.972 1596 0.954 1597 0.786 1598 0.623 1599 0.846 1600 0.852 1601 0.992 1602 0.512 1603 0.749 1604 1.028 1605 1.161 1606 1.208 1607 1.121 1608 1.182 1609 1.131 1610 1.128 1611 0.752 1612 0.811 1613 0.897 1614 0.8 1615 0.943 1616 0.829 1617 1.059 1618 0.954 1619 1.215 1620 1.205 1621 1.195 1622 0.732 1623 1.036 1624 1.122 1625 0.794 1626 0.967 1627 1.309 1628 1.208 1629 1.342 1630 1.378 1631 1.435 1632 1.322 1633 1.021 1634 0.98 1635 0.986 1636 1.181 1637 0.819 1638 0.885 1639 0.867 1640 0.859 1641 1.078 1642 1.041 1643 0.92 1644 0.898 1645 1.002 1646 1.006 1647 1.181 1648 1.167 1649 1.135 1650 1.152 1651 1.018 1652 0.494 1653 0.657 1654 0.65 1655 0.802 1656 0.935 1657 0.632 1658 0.783 1659 0.797 1660 0.713 1661 0.864 1662 0.767 1663 0.917 1664 0.942 1665 0.898 1666 0.824 1667 1.007 1668 1.219 1669 1.367 1670 1.045 1671 1.26 1672 1.304 1673 0.878 1674 0.957 1675 0.976 1676 1.03 1677 1 1678 0.73 1679 1.087 1680 1.069 1681 1.139 1682 0.873 1683 1.041 1684 1.003 1685 1.109 1686 0.883 1687 0.786 1688 0.953 1689 1.138 1690 1.01 1691 0.855 1692 0.991 1693 1.114 1694 0.989 1695 1.01 1696 0.882 1697 0.959 1698 0.979 1699 0.948 1700 1.09 1701 1.116 1702 0.948 1703 1.256 1704 1.013 1705 0.748 1706 1.032 1707 1.138 1708 0.892 1709 0.96 1710 0.879 1711 1.085 1712 1.11 1713 0.903 1714 0.991 1715 1.036 1716 1.104 1717 0.922 1718 0.941 1719 0.783 1720 0.86 1721 0.895 1722 0.827 1723 0.867 1724 0.757 1725 0.942 1726 0.963 1727 1.135 1728 1.45 1729 1.108 1730 1.367 1731 0.689 1732 0.767 1733 0.92 1734 0.836 1735 0.832 1736 1.035 1737 1.02 1738 1.011 1739 1.067 1740 0.951 1741 0.504 1742 0.691 1743 0.785 1744 0.725 1745 0.803 1746 0.622 1747 0.704 1748 0.878 1749 0.976 1750 0.968 1751 1.024 1752 0.483 1753 0.679 1754 0.921 1755 0.955 1756 0.759 1757 0.883 1758 0.887 1759 0.944 1760 1.054 1761 1.169 1762 0.972 1763 1.126 1764 1.086 1765 0.966 1766 1.126 1767 0.743 1768 0.719 1769 1.024 1770 0.778 1771 0.888 1772 1.121 1773 1.156 1774 1.153 1775 1.209 1776 0.912 1777 1.335 1778 1.251 1779 1.429 1780 1.219 1781 1.064 1782 0.919 1783 0.902 1784 0.931 1785 0.9 1786 0.985 1787 0.934 1788 0.88 1789 1.075 1790 1.096 1791 0.986 1792 0.89 1793 1.058 1794 1.1 1795 1.074 1796 1.114 1797 1.354 1798 1.076 1799 1.27 1800 1.314 1801 1.588 1802 1.364 1803 1.181 1804 1.121 1805 1.406 1806 1.296 1807 1.208 1808 0.937 1809 0.899 1810 0.894 1811 0.912 1812 0.917 1813 0.868 1814 1.039 1815 1.13 1816 1.032 1817 1.02 1818 1.255 1819 1.117 1820 1.115 1821 1.197 1822 1.094 1823 1.134 1824 1.167 1825 1.438 1826 1.068 1827 1.316 1828 1.262 1829 1.228 1830 0.898 1831 1.073 1832 0.984 1833 0.713 1834 0.735 1835 0.991 1836 0.976 1837 1.036 1838 1.117 1839 1.136 1840 0.836 1841 1.24 1842 1.138 1843 1.041 1844 0.897 1845 1.078 1846 0.751 1847 0.576 1848 0.815 1849 0.727 1850 0.751 1851 0.823 1852 0.932 1853 0.846 1854 0.731 1855 0.838 1856 0.953 1857 1.015 1858 0.914 1859 0.969 1860 0.862 1861 1.224 1862 1.168 1863 1.354 1864 1.321 1865 0.818 1866 1.074 1867 0.975 1868 1.102 1869 1.097 1870 1.028 1871 1.05 1872 0.579 1873 0.752 1874 0.828 1875 0.92 1876 1.036 1877 0.97 1878 0.871 1879 1.023 1880 1.003 1881 1.131 1882 0.966 1883 0.82 1884 0.743 1885 0.936 1886 0.705 1887 0.871 1888 0.803 1889 0.933 1890 1.118 1891 1.215 1892 1.156 1893 1.124 1894 1.122 1895 1.092 1896 1.313 1897 1.177 1898 1.421 1899 1.405 1900 1.511 1901 1.526 1902 1.201 1903 1.188 1904 0.897 1905 0.992 1906 0.96 1907 0.502 1908 0.796 1909 0.979 1910 0.714 1911 0.835 1912 0.651 1913 0.819 1914 0.786 1915 0.906 1916 0.601 1917 0.881 1918 0.758 1919 0.894 1920 0.88 1921 1.105 1922 1.069 1923 1.066 1924 0.714 1925 0.733 1926 0.978 1927 0.971 1928 1.059 1929 1.115 1930 0.981 1931 1.081 1932 1.217 1933 1.141 1934 0.972 1935 0.571 1936 0.741 1937 0.787 1938 0.573 1939 0.452 1940 0.569 1941 0.764 1942 0.892 1943 0.953 1944 0.992 1945 0.897 1946 0.914 1947 0.831 1948 0.821 1949 0.801 1950 0.813 1951 0.84 1952 0.809 1953 0.78 1954 0.678 1955 0.737 1956 0.758 1957 0.863 1958 0.991 1959 0.998 1960 1.129 1961 0.96 1962 1.077 1963 1.293 1964 1.436 1965 1.317 1966 1.097 1967 1.021 1968 0.778 1969 0.896 1970 0.869 1971 0.921 1972 0.816 1973 0.824 1974 0.989 1975 1.091 1976 1.198 1977 0.949 1978 0.719 1979 0.848 1980 0.882 1981 0.687 1982 0.763 1983 1.037 1984 0.991 1985 1.033 1986 0.961 1987 1.191 1988 0.921 1989 1.201 1990 0.871 1991 0.983