# australia_ausl003 - Lake Newdegate - 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/3836 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl003 - Lake Newdegate - 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 Newdegate # Location: # Country: Australia # Northernmost_Latitude: -42.67 # Southernmost_Latitude: -42.67 # Easternmost_Longitude: 146.55 # Westernmost_Longitude: 146.55 # Elevation: 1200 m #-------------------- # Data_Collection # Collection_Name: australia_ausl003B # Earliest_Year: 1286 # Most_Recent_Year: 1974 # 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":"5.40017440205","T2":"18.193266404","M1":"0.0225060274991","M2":"0.447976735296"}} #-------------------- # Species # Species_Name: pencil pine # Species_Code: ATCU #-------------------- # 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 1286 1.04 1287 0.982 1288 0.898 1289 1.042 1290 1.026 1291 1.086 1292 0.925 1293 0.994 1294 1.097 1295 1.021 1296 1.132 1297 1.236 1298 0.886 1299 1.032 1300 0.93 1301 0.853 1302 0.871 1303 0.898 1304 0.691 1305 0.907 1306 0.822 1307 0.839 1308 0.797 1309 0.762 1310 0.858 1311 0.841 1312 0.937 1313 0.903 1314 0.869 1315 1.107 1316 0.999 1317 1.019 1318 0.825 1319 1.106 1320 0.973 1321 0.891 1322 1.085 1323 0.78 1324 0.636 1325 0.66 1326 0.606 1327 0.672 1328 0.82 1329 0.895 1330 1.004 1331 1.028 1332 1.147 1333 1.219 1334 1.035 1335 1.34 1336 1.009 1337 0.877 1338 1.035 1339 1.19 1340 1.029 1341 1.093 1342 1.169 1343 1.075 1344 0.861 1345 0.79 1346 0.736 1347 1.042 1348 0.862 1349 1.224 1350 1.25 1351 1.128 1352 1.361 1353 1.097 1354 1.374 1355 0.966 1356 1.185 1357 1.216 1358 1.2 1359 1.048 1360 0.825 1361 0.798 1362 0.647 1363 0.698 1364 0.808 1365 0.873 1366 0.845 1367 0.863 1368 0.773 1369 0.732 1370 0.84 1371 0.776 1372 0.881 1373 0.952 1374 1.222 1375 1.048 1376 0.959 1377 1.056 1378 0.974 1379 0.909 1380 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1472 1.333 1473 1.322 1474 0.969 1475 1.06 1476 1.168 1477 1.277 1478 1.217 1479 1.07 1480 1.152 1481 1.079 1482 0.953 1483 0.872 1484 0.937 1485 1.236 1486 1.082 1487 1.2 1488 1.099 1489 1.042 1490 1.147 1491 0.973 1492 1.049 1493 1.174 1494 0.999 1495 1.041 1496 0.998 1497 1.007 1498 0.938 1499 0.787 1500 1.26 1501 0.98 1502 1.045 1503 1.167 1504 1.149 1505 0.811 1506 0.993 1507 1.029 1508 1.004 1509 0.912 1510 1.063 1511 0.997 1512 0.706 1513 0.993 1514 1.114 1515 0.759 1516 0.962 1517 0.832 1518 0.771 1519 0.994 1520 0.945 1521 0.87 1522 0.667 1523 0.764 1524 0.766 1525 0.718 1526 0.685 1527 0.706 1528 0.586 1529 0.719 1530 1.011 1531 0.859 1532 0.836 1533 0.884 1534 0.962 1535 1.006 1536 0.959 1537 0.779 1538 0.738 1539 0.875 1540 0.934 1541 0.991 1542 0.81 1543 0.885 1544 0.777 1545 0.662 1546 0.781 1547 0.681 1548 0.749 1549 0.957 1550 1.002 1551 0.939 1552 1.018 1553 1.082 1554 0.766 1555 0.907 1556 0.879 1557 1.13 1558 0.97 1559 0.917 1560 1.107 1561 0.802 1562 0.678 1563 0.747 1564 0.782 1565 0.882 1566 0.768 1567 0.77 1568 0.644 1569 0.98 1570 1.171 1571 1.063 1572 1.107 1573 1.08 1574 0.812 1575 0.907 1576 0.904 1577 0.906 1578 1.003 1579 1.044 1580 1.116 1581 0.919 1582 1.014 1583 1.053 1584 0.94 1585 0.837 1586 0.898 1587 0.952 1588 0.78 1589 0.729 1590 0.861 1591 0.853 1592 0.892 1593 0.98 1594 0.843 1595 0.846 1596 0.736 1597 0.983 1598 1.065 1599 1.069 1600 0.963 1601 0.908 1602 0.999 1603 1.174 1604 1.125 1605 1.004 1606 0.677 1607 0.712 1608 0.989 1609 0.931 1610 1.191 1611 1.053 1612 0.944 1613 1.068 1614 0.907 1615 1.144 1616 0.915 1617 0.96 1618 1.429 1619 1.272 1620 1.332 1621 1.338 1622 1.183 1623 0.909 1624 1.214 1625 1.138 1626 0.975 1627 1.205 1628 1.15 1629 1.165 1630 0.967 1631 0.971 1632 1.141 1633 1.064 1634 1.104 1635 1.069 1636 1.248 1637 1.055 1638 0.957 1639 1.081 1640 1.063 1641 0.858 1642 0.721 1643 0.79 1644 0.821 1645 0.731 1646 0.721 1647 0.805 1648 0.826 1649 0.996 1650 0.823 1651 1.02 1652 1.025 1653 1.042 1654 1.289 1655 1.35 1656 1.008 1657 1.204 1658 1.102 1659 1.113 1660 1.207 1661 1.27 1662 1.248 1663 0.877 1664 0.851 1665 1.067 1666 1.198 1667 1.016 1668 1.166 1669 1.142 1670 1.564 1671 1.234 1672 1.332 1673 1.005 1674 1.102 1675 0.928 1676 1.005 1677 0.982 1678 0.758 1679 0.799 1680 0.984 1681 1.057 1682 1.022 1683 0.859 1684 0.951 1685 0.884 1686 0.887 1687 0.903 1688 0.977 1689 1.158 1690 1.302 1691 0.979 1692 1.09 1693 1.12 1694 0.966 1695 1.082 1696 0.902 1697 0.931 1698 0.986 1699 1.067 1700 0.715 1701 0.845 1702 0.891 1703 1.146 1704 1.079 1705 0.854 1706 1.179 1707 1.11 1708 1.121 1709 0.966 1710 1.089 1711 1.031 1712 0.918 1713 0.925 1714 1.207 1715 1.178 1716 1.266 1717 0.916 1718 0.9 1719 0.897 1720 1.158 1721 0.956 1722 0.884 1723 0.945 1724 0.702 1725 0.698 1726 0.902 1727 0.875 1728 0.691 1729 1 1730 0.926 1731 1.047 1732 0.888 1733 0.804 1734 0.845 1735 0.911 1736 0.811 1737 0.935 1738 0.768 1739 1.097 1740 1.111 1741 1.085 1742 1.093 1743 0.982 1744 0.933 1745 0.805 1746 0.815 1747 0.952 1748 0.964 1749 0.701 1750 0.757 1751 0.865 1752 0.883 1753 1.07 1754 1.068 1755 1.087 1756 1.303 1757 1.183 1758 1.293 1759 1.241 1760 1.162 1761 0.822 1762 0.876 1763 0.971 1764 1.055 1765 1.175 1766 1.359 1767 1.405 1768 1.261 1769 1.231 1770 1.577 1771 1.282 1772 1.4 1773 1.012 1774 1 1775 1.074 1776 0.952 1777 0.582 1778 0.761 1779 0.89 1780 0.882 1781 0.694 1782 0.757 1783 0.634 1784 0.804 1785 0.768 1786 0.665 1787 0.713 1788 0.869 1789 1.022 1790 0.757 1791 0.789 1792 0.906 1793 0.768 1794 0.67 1795 0.809 1796 0.71 1797 0.857 1798 1.077 1799 1.06 1800 1.309 1801 0.908 1802 1.2 1803 1.108 1804 1.254 1805 1.054 1806 0.983 1807 1.139 1808 0.965 1809 1.049 1810 1.145 1811 1.047 1812 0.859 1813 0.868 1814 0.675 1815 0.913 1816 0.892 1817 0.848 1818 0.848 1819 0.799 1820 0.843 1821 0.952 1822 0.846 1823 0.779 1824 1.059 1825 1.178 1826 0.864 1827 1.05 1828 0.72 1829 1.156 1830 1.062 1831 1.025 1832 0.837 1833 0.961 1834 1.115 1835 1.126 1836 1.077 1837 0.923 1838 0.867 1839 1.055 1840 1.163 1841 1.236 1842 1.175 1843 1.091 1844 0.841 1845 0.848 1846 1.066 1847 1.061 1848 0.936 1849 0.808 1850 1.039 1851 1.087 1852 0.859 1853 0.807 1854 1.033 1855 1.071 1856 1.107 1857 0.999 1858 1.062 1859 1.165 1860 1.403 1861 1.258 1862 1.495 1863 1.208 1864 0.989 1865 1.194 1866 1.396 1867 1.251 1868 1.08 1869 1.113 1870 1.389 1871 1.345 1872 1.164 1873 1.277 1874 1.288 1875 1.221 1876 1.011 1877 1.34 1878 1.212 1879 1.051 1880 1.02 1881 1.079 1882 1.309 1883 1.162 1884 1.183 1885 1.17 1886 1.42 1887 1.189 1888 1.47 1889 1.269 1890 0.892 1891 1.089 1892 0.919 1893 1.084 1894 1.044 1895 0.982 1896 1.029 1897 0.951 1898 0.839 1899 0.935 1900 1.171 1901 0.782 1902 0.736 1903 0.941 1904 0.713 1905 0.699 1906 0.824 1907 0.89 1908 0.508 1909 0.764 1910 0.75 1911 0.547 1912 0.506 1913 0.588 1914 0.622 1915 0.654 1916 0.636 1917 0.696 1918 0.964 1919 1.071 1920 1.004 1921 0.81 1922 0.839 1923 0.808 1924 0.787 1925 0.753 1926 0.783 1927 0.825 1928 0.81 1929 0.873 1930 0.888 1931 0.898 1932 0.798 1933 0.864 1934 0.643 1935 0.912 1936 0.817 1937 0.826 1938 0.954 1939 0.973 1940 1.025 1941 0.919 1942 1.05 1943 0.952 1944 0.935 1945 0.969 1946 1.011 1947 0.934 1948 0.892 1949 0.814 1950 1.167 1951 0.865 1952 0.903 1953 1.139 1954 1.011 1955 1.089 1956 0.84 1957 1.012 1958 1.218 1959 1.031 1960 1.384 1961 1.163 1962 1.142 1963 1.081 1964 0.881 1965 0.949 1966 0.832 1967 1.03 1968 0.948 1969 0.834 1970 1.049 1971 1.052 1972 1.366 1973 1.389 1974 1.306