# australia_newz073 - Hauhungatahi Site B Tongariro - 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/5365 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz073 - Hauhungatahi Site B Tongariro - 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: Hauhungatahi Site B Tongariro # Location: # Country: New Zealand # Northernmost_Latitude: -39.23 # Southernmost_Latitude: -39.23 # Easternmost_Longitude: 175.43 # Westernmost_Longitude: 175.43 # Elevation: 1100 m #-------------------- # Data_Collection # Collection_Name: australia_newz073B # Earliest_Year: 1332 # Most_Recent_Year: 1992 # 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":"5.93408991666","T2":"14.4014785349","M1":"0.022093737021","M2":"0.397593150847"}} #-------------------- # 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 1332 0.79 1333 0.811 1334 0.733 1335 0.693 1336 0.868 1337 0.833 1338 0.722 1339 0.904 1340 0.833 1341 0.868 1342 0.71 1343 0.775 1344 0.874 1345 0.829 1346 1.205 1347 1.215 1348 0.891 1349 0.97 1350 1.627 1351 2.002 1352 1.805 1353 1.599 1354 1.549 1355 2.213 1356 2.481 1357 2.347 1358 2.352 1359 1.832 1360 1.646 1361 1.926 1362 1.964 1363 1.374 1364 1.39 1365 1.383 1366 1.365 1367 0.665 1368 0.888 1369 1.242 1370 1.338 1371 1.179 1372 1.142 1373 1.168 1374 1.135 1375 1.205 1376 1.442 1377 1.31 1378 1.082 1379 1.238 1380 1.747 1381 1.401 1382 1.439 1383 1.697 1384 1.34 1385 1.183 1386 1.749 1387 1.334 1388 1.813 1389 1.194 1390 1.256 1391 1.679 1392 1.592 1393 1.502 1394 1.639 1395 1.771 1396 1.624 1397 1.363 1398 1.104 1399 1.168 1400 1.323 1401 1.205 1402 1.299 1403 1.095 1404 1.168 1405 1.105 1406 1.551 1407 1.648 1408 0.863 1409 0.85 1410 0.999 1411 0.826 1412 0.978 1413 0.85 1414 0.869 1415 0.762 1416 0.859 1417 0.989 1418 0.699 1419 0.766 1420 1.035 1421 0.898 1422 0.799 1423 0.7 1424 0.762 1425 0.666 1426 1.078 1427 0.991 1428 0.973 1429 1.177 1430 1.194 1431 1.024 1432 0.978 1433 0.954 1434 0.947 1435 1.058 1436 0.925 1437 1.131 1438 1.113 1439 1.159 1440 1.138 1441 1.137 1442 1.187 1443 1.032 1444 1.028 1445 0.792 1446 0.707 1447 0.675 1448 0.745 1449 0.708 1450 0.606 1451 0.775 1452 0.808 1453 0.843 1454 0.701 1455 0.784 1456 0.723 1457 0.852 1458 0.791 1459 0.619 1460 0.817 1461 0.926 1462 0.929 1463 0.681 1464 0.659 1465 0.806 1466 0.873 1467 0.769 1468 0.779 1469 0.634 1470 0.532 1471 0.701 1472 0.478 1473 0.565 1474 0.456 1475 0.497 1476 0.313 1477 0.43 1478 0.4 1479 0.564 1480 0.742 1481 0.934 1482 0.823 1483 0.986 1484 0.988 1485 1.174 1486 1.141 1487 0.899 1488 0.834 1489 1.073 1490 0.91 1491 1.291 1492 1.239 1493 1.275 1494 0.858 1495 0.96 1496 0.662 1497 0.83 1498 0.729 1499 0.711 1500 0.874 1501 0.99 1502 0.934 1503 0.962 1504 1.105 1505 1.218 1506 0.88 1507 0.898 1508 0.744 1509 0.72 1510 0.713 1511 0.688 1512 0.617 1513 0.71 1514 0.533 1515 0.623 1516 0.749 1517 0.768 1518 0.872 1519 0.927 1520 0.675 1521 0.884 1522 1.051 1523 1.021 1524 1.183 1525 0.932 1526 0.917 1527 0.881 1528 0.824 1529 0.752 1530 0.76 1531 0.834 1532 0.737 1533 0.675 1534 0.613 1535 0.55 1536 0.692 1537 0.93 1538 0.998 1539 0.892 1540 0.94 1541 1.033 1542 0.55 1543 0.449 1544 0.36 1545 0.568 1546 0.602 1547 0.703 1548 0.803 1549 1.011 1550 1.285 1551 1.44 1552 1.108 1553 0.782 1554 0.737 1555 0.809 1556 0.843 1557 0.801 1558 0.73 1559 0.867 1560 1.082 1561 1.094 1562 1.071 1563 0.83 1564 0.897 1565 0.871 1566 0.745 1567 0.434 1568 0.558 1569 0.711 1570 0.579 1571 0.947 1572 1.07 1573 1.032 1574 1.232 1575 1.171 1576 0.965 1577 0.847 1578 0.871 1579 0.651 1580 0.782 1581 0.709 1582 0.8 1583 0.747 1584 0.944 1585 0.87 1586 0.871 1587 1.011 1588 0.95 1589 0.952 1590 1.002 1591 0.91 1592 0.901 1593 1.156 1594 1.142 1595 1.165 1596 1.056 1597 0.832 1598 0.736 1599 0.813 1600 0.81 1601 0.823 1602 0.522 1603 0.43 1604 0.612 1605 0.855 1606 0.979 1607 0.874 1608 0.833 1609 0.785 1610 1.02 1611 0.621 1612 0.505 1613 0.503 1614 0.424 1615 0.618 1616 0.636 1617 0.854 1618 0.836 1619 0.994 1620 0.936 1621 1.006 1622 0.442 1623 0.631 1624 0.754 1625 0.526 1626 0.914 1627 1.281 1628 1.044 1629 1.311 1630 1.411 1631 1.499 1632 1.641 1633 1.02 1634 1.027 1635 1.172 1636 1.488 1637 0.93 1638 1.016 1639 1.034 1640 1.171 1641 1.624 1642 1.77 1643 1.598 1644 1.598 1645 1.591 1646 1.39 1647 1.633 1648 1.463 1649 1.468 1650 1.344 1651 1.116 1652 0.37 1653 0.622 1654 0.683 1655 0.707 1656 0.763 1657 0.714 1658 0.917 1659 0.844 1660 1 1661 0.944 1662 0.454 1663 0.574 1664 0.553 1665 0.521 1666 0.544 1667 0.554 1668 0.806 1669 1.03 1670 0.976 1671 1.476 1672 1.485 1673 1.018 1674 1.043 1675 1.125 1676 1.207 1677 1.414 1678 0.57 1679 0.926 1680 0.927 1681 0.939 1682 0.323 1683 0.652 1684 0.716 1685 0.737 1686 0.763 1687 0.803 1688 0.954 1689 1.32 1690 1.38 1691 1.32 1692 1.341 1693 1.464 1694 1.29 1695 1.242 1696 1.14 1697 1.123 1698 1.31 1699 1.184 1700 1.325 1701 1.392 1702 1.292 1703 1.458 1704 1.364 1705 1.055 1706 1.357 1707 1.092 1708 0.997 1709 0.89 1710 0.878 1711 1.236 1712 1.456 1713 1.131 1714 1.35 1715 1.257 1716 1.336 1717 0.969 1718 0.998 1719 1.076 1720 1.03 1721 1.222 1722 0.907 1723 0.929 1724 0.789 1725 0.968 1726 0.9 1727 1.084 1728 1.409 1729 1.182 1730 1.474 1731 0.825 1732 0.812 1733 0.87 1734 0.86 1735 1.074 1736 1.315 1737 1.002 1738 1.032 1739 1.145 1740 1.044 1741 0.462 1742 0.681 1743 0.963 1744 0.718 1745 0.799 1746 0.665 1747 0.786 1748 0.886 1749 1.077 1750 0.985 1751 1.063 1752 0.47 1753 0.62 1754 0.578 1755 0.73 1756 0.716 1757 0.785 1758 0.686 1759 0.881 1760 1.017 1761 1.241 1762 1.156 1763 1.221 1764 1.082 1765 0.895 1766 0.808 1767 0.801 1768 0.711 1769 1.071 1770 0.684 1771 0.971 1772 1.062 1773 1.086 1774 1.119 1775 1.327 1776 1.064 1777 1.198 1778 1.052 1779 0.971 1780 0.966 1781 0.839 1782 0.632 1783 0.789 1784 0.795 1785 0.749 1786 0.865 1787 0.859 1788 0.87 1789 0.954 1790 1.046 1791 0.895 1792 0.799 1793 0.887 1794 0.898 1795 1.028 1796 0.869 1797 1.05 1798 0.98 1799 1.451 1800 1.752 1801 1.79 1802 1.814 1803 1.138 1804 1.539 1805 2.039 1806 1.681 1807 1.509 1808 1.321 1809 1.286 1810 1.062 1811 1.166 1812 0.978 1813 0.956 1814 0.987 1815 1.112 1816 1.021 1817 0.961 1818 1.001 1819 0.93 1820 0.817 1821 0.887 1822 0.912 1823 1.044 1824 1.007 1825 1.378 1826 1.157 1827 1.51 1828 1.495 1829 1.43 1830 0.807 1831 0.921 1832 0.898 1833 0.682 1834 0.753 1835 0.772 1836 0.889 1837 0.92 1838 1.038 1839 1.083 1840 0.948 1841 1.373 1842 1.229 1843 1.104 1844 0.852 1845 1.136 1846 0.806 1847 0.485 1848 0.785 1849 0.646 1850 0.689 1851 0.897 1852 1.022 1853 1.128 1854 1.173 1855 1.186 1856 1.158 1857 1.152 1858 0.973 1859 1.124 1860 0.93 1861 1.465 1862 1.594 1863 1.736 1864 1.505 1865 1.344 1866 1.374 1867 1.053 1868 1.146 1869 1.148 1870 1.186 1871 1.152 1872 0.635 1873 0.917 1874 0.986 1875 1.012 1876 1.136 1877 1.09 1878 0.987 1879 1.063 1880 0.947 1881 0.882 1882 0.788 1883 0.616 1884 0.637 1885 0.742 1886 0.739 1887 0.796 1888 0.768 1889 0.995 1890 1.104 1891 1.103 1892 1.228 1893 1.229 1894 1.09 1895 0.856 1896 1.332 1897 1.261 1898 1.596 1899 1.76 1900 1.696 1901 1.719 1902 1.429 1903 1.299 1904 0.867 1905 0.996 1906 1.02 1907 0.57 1908 0.711 1909 0.835 1910 0.645 1911 0.834 1912 0.674 1913 0.877 1914 1.112 1915 1.185 1916 0.666 1917 1.348 1918 0.867 1919 1.105 1920 0.811 1921 1.224 1922 1.155 1923 1.09 1924 0.767 1925 0.686 1926 0.909 1927 0.733 1928 0.6 1929 0.699 1930 0.507 1931 0.84 1932 1.194 1933 1.263 1934 1.257 1935 0.552 1936 0.678 1937 0.869 1938 0.649 1939 0.413 1940 0.618 1941 0.58 1942 0.696 1943 0.774 1944 0.863 1945 0.748 1946 0.708 1947 1.024 1948 0.978 1949 0.894 1950 1.194 1951 1.185 1952 1.169 1953 1.011 1954 0.809 1955 0.793 1956 0.811 1957 0.963 1958 1.002 1959 1.076 1960 1.113 1961 1.066 1962 0.8 1963 1.02 1964 0.988 1965 0.93 1966 0.897 1967 0.888 1968 0.716 1969 0.88 1970 0.649 1971 0.701 1972 0.759 1973 0.916 1974 0.792 1975 0.822 1976 0.859 1977 0.878 1978 0.576 1979 0.563 1980 0.568 1981 0.561 1982 0.618 1983 0.731 1984 0.728 1985 0.812 1986 0.703 1987 0.885 1988 0.539 1989 0.957 1990 0.774 1991 0.828 1992 0.924