# australia_newz088 - Manaia Sanctuary - 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/8487 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz088 - Manaia Sanctuary - 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: Manaia Sanctuary # Location: # Country: New Zealand # Northernmost_Latitude: -36.9 # Southernmost_Latitude: -36.9 # Easternmost_Longitude: 175.55 # Westernmost_Longitude: 175.55 # Elevation: 350 m #-------------------- # Data_Collection # Collection_Name: australia_newz088B # Earliest_Year: 1269 # Most_Recent_Year: 1998 # 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":"3.6996796401","T2":"11.8798914098","M1":"0.0229793229861","M2":"0.611257309604"}} #-------------------- # Species # Species_Name: kauri pine # Species_Code: AGAU #-------------------- # 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 1269 1.058 1270 0.745 1271 0.868 1272 0.91 1273 0.675 1274 0.849 1275 0.805 1276 0.893 1277 0.853 1278 0.989 1279 0.926 1280 1.136 1281 0.803 1282 1.113 1283 0.876 1284 0.901 1285 0.817 1286 0.686 1287 0.848 1288 0.992 1289 1.056 1290 0.766 1291 0.993 1292 1.168 1293 0.948 1294 0.858 1295 0.883 1296 0.953 1297 0.959 1298 0.853 1299 0.884 1300 0.91 1301 1.02 1302 1.002 1303 0.87 1304 0.936 1305 1.298 1306 1.065 1307 1.036 1308 1.008 1309 1.03 1310 0.94 1311 1.11 1312 1.092 1313 1.345 1314 1.492 1315 1.412 1316 1.265 1317 1.48 1318 1.135 1319 0.96 1320 1.197 1321 1.65 1322 1.249 1323 1.267 1324 1.243 1325 1.277 1326 1.328 1327 1.17 1328 1.835 1329 1.01 1330 1.497 1331 1.06 1332 1.095 1333 1.218 1334 1.529 1335 1.546 1336 1.187 1337 1.162 1338 1.208 1339 1.466 1340 1.166 1341 1.26 1342 1.266 1343 0.938 1344 0.85 1345 1.058 1346 0.612 1347 1.09 1348 0.891 1349 0.926 1350 0.795 1351 0.805 1352 0.84 1353 0.893 1354 0.756 1355 1.086 1356 1.001 1357 0.782 1358 0.977 1359 0.634 1360 0.843 1361 1.013 1362 0.914 1363 1.174 1364 1.168 1365 0.86 1366 0.497 1367 0.823 1368 0.636 1369 0.774 1370 0.704 1371 0.651 1372 0.566 1373 0.979 1374 0.529 1375 0.896 1376 0.758 1377 1.168 1378 1.097 1379 1.248 1380 0.915 1381 1.271 1382 1.066 1383 1.285 1384 0.905 1385 0.91 1386 1.074 1387 0.663 1388 0.621 1389 0.744 1390 0.706 1391 0.919 1392 0.945 1393 1.028 1394 0.967 1395 0.934 1396 0.566 1397 0.881 1398 0.423 1399 0.981 1400 0.627 1401 0.509 1402 0.464 1403 0.788 1404 0.726 1405 0.69 1406 0.426 1407 0.896 1408 0.87 1409 1.024 1410 0.914 1411 0.992 1412 0.998 1413 0.541 1414 1.163 1415 1.079 1416 1.237 1417 1.091 1418 1.202 1419 1.339 1420 1.31 1421 1.091 1422 0.91 1423 0.439 1424 1.013 1425 0.427 1426 0.466 1427 0.826 1428 1.175 1429 0.735 1430 0.939 1431 1.338 1432 0.329 1433 1.414 1434 0.396 1435 1.476 1436 1.282 1437 1.483 1438 1.438 1439 1.34 1440 1.671 1441 1.338 1442 1.375 1443 1.123 1444 1.106 1445 1.184 1446 0.889 1447 0.889 1448 0.962 1449 0.815 1450 0.867 1451 0.915 1452 0.866 1453 1.143 1454 1.049 1455 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1547 0.581 1548 0.804 1549 0.944 1550 1.046 1551 0.977 1552 1.054 1553 0.633 1554 0.996 1555 1.172 1556 0.694 1557 1.204 1558 0.655 1559 0.789 1560 0.603 1561 0.782 1562 0.913 1563 0.45 1564 0.955 1565 0.849 1566 0.566 1567 0.667 1568 0.914 1569 1.038 1570 0.989 1571 1.073 1572 1.037 1573 1.118 1574 1.438 1575 0.992 1576 0.925 1577 0.546 1578 1.182 1579 1.267 1580 1.04 1581 1.073 1582 0.856 1583 0.783 1584 0.45 1585 0.963 1586 0.702 1587 1.014 1588 0.804 1589 1.013 1590 1.104 1591 1.361 1592 1.265 1593 0.991 1594 1.261 1595 1.126 1596 1.229 1597 1.08 1598 0.965 1599 0.918 1600 0.624 1601 0.912 1602 0.284 1603 0.768 1604 0.708 1605 0.96 1606 0.721 1607 0.976 1608 0.928 1609 0.935 1610 1.202 1611 0.721 1612 1.091 1613 0.938 1614 0.709 1615 0.783 1616 0.807 1617 1.138 1618 1.143 1619 1.296 1620 1.189 1621 1.144 1622 0.812 1623 0.841 1624 0.97 1625 0.979 1626 0.781 1627 0.882 1628 1.083 1629 0.55 1630 0.838 1631 0.591 1632 0.615 1633 0.587 1634 0.962 1635 0.758 1636 0.955 1637 0.802 1638 0.89 1639 1.007 1640 0.949 1641 1.183 1642 1.058 1643 0.993 1644 0.793 1645 0.817 1646 0.897 1647 0.71 1648 0.859 1649 0.481 1650 1.113 1651 1.087 1652 0.825 1653 1.013 1654 0.552 1655 1.107 1656 0.681 1657 0.848 1658 0.602 1659 1.111 1660 1.309 1661 1.091 1662 0.904 1663 0.747 1664 1.164 1665 0.968 1666 0.878 1667 1.089 1668 0.792 1669 1.285 1670 1.068 1671 1.18 1672 0.953 1673 1.18 1674 1.408 1675 0.954 1676 1.246 1677 1.073 1678 0.758 1679 0.991 1680 0.805 1681 1.257 1682 0.89 1683 1.209 1684 0.765 1685 1.122 1686 1.023 1687 1.029 1688 0.874 1689 0.663 1690 0.653 1691 0.853 1692 0.953 1693 0.568 1694 1.286 1695 0.937 1696 1.28 1697 1.103 1698 1.246 1699 1.005 1700 1.134 1701 0.878 1702 1.089 1703 1.121 1704 1.225 1705 0.914 1706 1.158 1707 0.859 1708 0.962 1709 0.809 1710 0.857 1711 0.823 1712 0.968 1713 0.65 1714 1.152 1715 0.686 1716 1.096 1717 1.03 1718 0.938 1719 1.24 1720 1.047 1721 1.195 1722 1.008 1723 1.449 1724 0.853 1725 1.217 1726 1.444 1727 1.363 1728 1.253 1729 1.158 1730 1.124 1731 1.036 1732 0.7 1733 1.091 1734 0.955 1735 1.075 1736 1.448 1737 1.402 1738 0.609 1739 1.238 1740 0.877 1741 0.953 1742 1.132 1743 0.749 1744 1.198 1745 0.581 1746 1.393 1747 1.421 1748 1.074 1749 1.416 1750 0.67 1751 1.206 1752 0.692 1753 1.028 1754 0.608 1755 1.189 1756 0.919 1757 0.773 1758 1.043 1759 1.023 1760 0.97 1761 1.188 1762 0.962 1763 1.05 1764 0.957 1765 0.779 1766 0.772 1767 0.605 1768 0.735 1769 1.011 1770 0.617 1771 0.734 1772 0.395 1773 0.958 1774 0.791 1775 0.832 1776 0.896 1777 1.191 1778 0.855 1779 1.231 1780 1.026 1781 0.933 1782 1.274 1783 0.782 1784 1.24 1785 0.999 1786 1.41 1787 0.994 1788 1.33 1789 0.634 1790 0.95 1791 1.155 1792 0.599 1793 0.973 1794 0.722 1795 0.435 1796 0.791 1797 0.882 1798 0.929 1799 1.421 1800 1.248 1801 0.933 1802 0.674 1803 0.718 1804 0.597 1805 0.708 1806 0.719 1807 0.774 1808 0.523 1809 1.207 1810 0.849 1811 1.31 1812 1.369 1813 1.086 1814 1.022 1815 0.97 1816 1.322 1817 1.113 1818 1.139 1819 1.025 1820 0.975 1821 1.002 1822 1.182 1823 1.09 1824 1.059 1825 0.672 1826 0.968 1827 1.064 1828 0.922 1829 1.155 1830 0.685 1831 1.374 1832 0.852 1833 1.364 1834 0.981 1835 1.2 1836 0.742 1837 1.354 1838 1.117 1839 0.596 1840 1.122 1841 1.073 1842 0.722 1843 1.336 1844 1.056 1845 1.362 1846 0.623 1847 1.006 1848 0.798 1849 0.537 1850 0.822 1851 0.572 1852 1.253 1853 1.247 1854 1.232 1855 1.158 1856 1.13 1857 1.026 1858 0.912 1859 0.849 1860 0.626 1861 0.943 1862 0.865 1863 0.635 1864 0.979 1865 0.952 1866 1.054 1867 0.843 1868 1.219 1869 1.083 1870 0.977 1871 1.196 1872 0.856 1873 1.144 1874 0.723 1875 0.667 1876 0.757 1877 0.684 1878 0.495 1879 0.744 1880 0.688 1881 0.829 1882 0.944 1883 0.96 1884 0.998 1885 1.183 1886 0.83 1887 0.712 1888 0.795 1889 0.727 1890 0.49 1891 0.902 1892 0.591 1893 0.883 1894 0.781 1895 0.901 1896 0.968 1897 0.852 1898 0.956 1899 0.619 1900 0.686 1901 0.827 1902 0.865 1903 0.726 1904 1.064 1905 1.158 1906 0.746 1907 0.826 1908 0.934 1909 0.98 1910 0.928 1911 1.197 1912 1.27 1913 1.222 1914 1.13 1915 0.543 1916 0.373 1917 1.367 1918 1.374 1919 1.714 1920 1.352 1921 1.13 1922 0.943 1923 0.838 1924 1.06 1925 1.188 1926 0.776 1927 1.156 1928 0.706 1929 0.937 1930 0.89 1931 0.874 1932 0.819 1933 1.185 1934 0.913 1935 0.849 1936 1.504 1937 1.206 1938 1.033 1939 0.978 1940 1.5 1941 0.935 1942 1.068 1943 0.965 1944 1.072 1945 0.956 1946 0.648 1947 0.95 1948 0.452 1949 1.019 1950 0.562 1951 1.186 1952 0.853 1953 0.717 1954 0.865 1955 0.949 1956 0.837 1957 1.013 1958 1.045 1959 1.05 1960 1.167 1961 1.305 1962 0.952 1963 1.892 1964 1.157 1965 1.344 1966 1.141 1967 1.186 1968 0.951 1969 1.055 1970 0.599 1971 0.951 1972 0.92 1973 0.549 1974 0.703 1975 0.828 1976 1.244 1977 0.96 1978 0.815 1979 0.382 1980 0.527 1981 1.105 1982 1.486 1983 1.3 1984 1.381 1985 1.321 1986 1.805 1987 1.073 1988 1.099 1989 0.731 1990 1.134 1991 1.129 1992 1.237 1993 1.095 1994 1.15 1995 0.464 1996 1.197 1997 0.804 1998 0.524