# australia_ausl002 - Cradle Mountain - 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/3828 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl002 - Cradle Mountain - 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: Cradle Mountain # Location: # Country: Australia # Northernmost_Latitude: -41.63 # Southernmost_Latitude: -41.63 # Easternmost_Longitude: 145.93 # Westernmost_Longitude: 145.93 # Elevation: 1000 m #-------------------- # Data_Collection # Collection_Name: australia_ausl002B # Earliest_Year: 1198 # 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":"5.55927663173","T2":"12.5745256807","M1":"0.0224341602379","M2":"0.5237481162"}} #-------------------- # Species # Species_Name: King Billy pine # Species_Code: ATSE #-------------------- # 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 1198 0.992 1199 0.957 1200 0.84 1201 1.003 1202 0.783 1203 1.005 1204 1.146 1205 0.859 1206 0.897 1207 1.031 1208 0.95 1209 0.691 1210 1.138 1211 0.678 1212 0.939 1213 1.12 1214 1.151 1215 1.145 1216 1.139 1217 1.125 1218 0.689 1219 0.878 1220 1.038 1221 1.274 1222 1.078 1223 1.254 1224 1.195 1225 1.021 1226 0.892 1227 1.046 1228 1.108 1229 1.125 1230 1.057 1231 0.904 1232 0.696 1233 0.573 1234 0.829 1235 0.822 1236 0.885 1237 0.995 1238 1.066 1239 1.005 1240 1.014 1241 0.835 1242 0.922 1243 0.923 1244 0.884 1245 0.948 1246 0.973 1247 0.982 1248 0.944 1249 1.088 1250 1.081 1251 1.05 1252 0.94 1253 1.085 1254 0.998 1255 0.951 1256 1.032 1257 1.219 1258 1.253 1259 1.166 1260 0.923 1261 1.03 1262 0.999 1263 1 1264 0.952 1265 0.912 1266 0.891 1267 0.729 1268 0.985 1269 0.763 1270 0.948 1271 1.123 1272 1.587 1273 1.545 1274 1.34 1275 1.229 1276 1.109 1277 0.952 1278 0.883 1279 0.808 1280 0.894 1281 0.997 1282 0.977 1283 1.15 1284 0.81 1285 1.054 1286 0.862 1287 0.952 1288 0.887 1289 0.666 1290 0.758 1291 0.874 1292 0.754 1293 0.664 1294 0.67 1295 0.866 1296 0.796 1297 0.918 1298 0.823 1299 0.857 1300 0.785 1301 0.804 1302 0.862 1303 0.988 1304 0.931 1305 0.871 1306 0.691 1307 1.154 1308 1.01 1309 0.896 1310 0.798 1311 0.846 1312 1.004 1313 1.059 1314 1.172 1315 1.562 1316 1.435 1317 1.074 1318 1.112 1319 1.136 1320 1.034 1321 0.975 1322 1.013 1323 0.984 1324 0.92 1325 1.011 1326 1.294 1327 1.216 1328 1.098 1329 1.088 1330 1.172 1331 0.999 1332 0.964 1333 1.13 1334 1.222 1335 1.255 1336 1.188 1337 1.195 1338 1.088 1339 1.218 1340 1.146 1341 1.172 1342 1.033 1343 1.225 1344 1.146 1345 1.024 1346 0.959 1347 0.966 1348 0.669 1349 0.738 1350 0.827 1351 0.909 1352 0.959 1353 1.086 1354 0.811 1355 0.919 1356 0.92 1357 0.808 1358 0.935 1359 0.854 1360 0.83 1361 0.812 1362 0.75 1363 0.929 1364 0.713 1365 0.752 1366 0.933 1367 0.857 1368 0.781 1369 0.814 1370 0.97 1371 0.848 1372 0.804 1373 0.734 1374 0.924 1375 0.769 1376 0.887 1377 0.804 1378 0.883 1379 0.963 1380 0.99 1381 1.182 1382 1.019 1383 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1475 1.065 1476 1.076 1477 1.381 1478 1.252 1479 0.939 1480 0.963 1481 0.908 1482 0.776 1483 0.87 1484 0.978 1485 0.912 1486 1.104 1487 1.073 1488 0.899 1489 0.651 1490 0.985 1491 0.717 1492 1.121 1493 1.193 1494 1.041 1495 1.126 1496 0.891 1497 0.815 1498 0.914 1499 0.571 1500 0.992 1501 0.777 1502 0.881 1503 1.028 1504 0.874 1505 0.821 1506 0.642 1507 0.645 1508 1.149 1509 0.84 1510 0.891 1511 1.184 1512 0.994 1513 1.133 1514 0.975 1515 0.908 1516 1.119 1517 0.852 1518 0.861 1519 0.966 1520 0.945 1521 1.116 1522 0.839 1523 0.945 1524 0.845 1525 0.873 1526 0.774 1527 0.773 1528 0.871 1529 0.901 1530 0.887 1531 0.847 1532 1.065 1533 0.805 1534 0.953 1535 1.128 1536 1.027 1537 0.978 1538 0.949 1539 0.838 1540 0.881 1541 0.932 1542 0.726 1543 0.659 1544 0.968 1545 0.798 1546 0.936 1547 0.91 1548 1.019 1549 1.113 1550 1.053 1551 1.124 1552 1.192 1553 1.247 1554 1.285 1555 1.233 1556 1.173 1557 1.155 1558 1.032 1559 1.113 1560 1.062 1561 0.71 1562 0.889 1563 0.914 1564 0.957 1565 0.966 1566 1.095 1567 0.845 1568 0.933 1569 0.95 1570 1.035 1571 1.125 1572 0.998 1573 1.097 1574 1.153 1575 1.197 1576 1.247 1577 1.205 1578 1.332 1579 1.109 1580 1.019 1581 0.973 1582 1.006 1583 0.94 1584 0.949 1585 0.9 1586 0.953 1587 1 1588 1.099 1589 0.832 1590 0.983 1591 1.028 1592 1.066 1593 1.138 1594 0.994 1595 1.129 1596 0.986 1597 1.155 1598 1.165 1599 1.197 1600 0.978 1601 0.949 1602 0.922 1603 0.597 1604 0.857 1605 0.95 1606 0.924 1607 0.837 1608 0.924 1609 0.661 1610 0.783 1611 0.734 1612 0.747 1613 0.926 1614 1.058 1615 1.221 1616 1.106 1617 1.002 1618 1.149 1619 1.198 1620 1.316 1621 1.228 1622 1.173 1623 1.06 1624 1.005 1625 0.872 1626 0.857 1627 1.005 1628 0.695 1629 0.971 1630 1.019 1631 1.079 1632 0.986 1633 1.128 1634 1.173 1635 1.191 1636 1.052 1637 0.835 1638 0.931 1639 0.894 1640 0.788 1641 0.861 1642 0.789 1643 0.921 1644 1.122 1645 1.151 1646 0.977 1647 0.888 1648 0.955 1649 1.074 1650 1.072 1651 1.161 1652 1.049 1653 1.195 1654 1.061 1655 1.179 1656 1.071 1657 1.416 1658 1.117 1659 0.948 1660 1.075 1661 1.048 1662 0.959 1663 0.87 1664 1.04 1665 1.033 1666 1.145 1667 1.079 1668 0.989 1669 1.019 1670 0.845 1671 0.752 1672 0.8 1673 0.766 1674 0.787 1675 0.823 1676 0.566 1677 0.638 1678 0.285 1679 0.433 1680 0.488 1681 0.607 1682 0.689 1683 0.575 1684 0.75 1685 0.669 1686 0.498 1687 0.675 1688 0.648 1689 0.84 1690 0.989 1691 0.764 1692 0.892 1693 0.84 1694 0.872 1695 0.925 1696 0.629 1697 0.785 1698 0.54 1699 0.677 1700 0.64 1701 1.034 1702 1.059 1703 1.164 1704 0.867 1705 0.923 1706 1.229 1707 1.268 1708 1.346 1709 1.306 1710 1.465 1711 1.509 1712 1.416 1713 1.23 1714 1.179 1715 1.174 1716 1.125 1717 1.241 1718 1.312 1719 1.182 1720 1.114 1721 0.99 1722 0.985 1723 0.966 1724 0.803 1725 1.107 1726 1.269 1727 1.149 1728 1.483 1729 1.483 1730 1.317 1731 1.414 1732 1.241 1733 1.334 1734 1.393 1735 1.392 1736 1.084 1737 1.138 1738 0.985 1739 1.139 1740 0.85 1741 1.245 1742 1.123 1743 1.016 1744 0.724 1745 0.418 1746 0.968 1747 1.102 1748 1.153 1749 1.047 1750 0.983 1751 1.153 1752 1.321 1753 1.117 1754 1.028 1755 0.989 1756 0.828 1757 0.859 1758 0.925 1759 0.986 1760 0.917 1761 1.038 1762 1.022 1763 1.104 1764 1.218 1765 1.373 1766 1.131 1767 1.299 1768 1.215 1769 1.313 1770 1.042 1771 0.88 1772 1.176 1773 1.127 1774 0.923 1775 1.058 1776 0.888 1777 1.236 1778 1.236 1779 1.315 1780 1.204 1781 1.126 1782 1.329 1783 1.473 1784 1.228 1785 1.184 1786 1.071 1787 1.031 1788 0.951 1789 0.73 1790 0.651 1791 0.817 1792 0.645 1793 0.762 1794 0.851 1795 0.927 1796 0.8 1797 0.937 1798 0.947 1799 0.967 1800 0.876 1801 0.747 1802 0.915 1803 0.681 1804 0.07 1805 0.634 1806 0.692 1807 0.681 1808 0.487 1809 0.817 1810 0.834 1811 0.723 1812 0.732 1813 0.694 1814 0.297 1815 0.889 1816 0.601 1817 0.715 1818 0.511 1819 0.532 1820 0.657 1821 0.937 1822 0.868 1823 0.88 1824 1 1825 0.943 1826 0.776 1827 1.003 1828 0.8 1829 0.866 1830 1.064 1831 1.048 1832 0.902 1833 1.006 1834 1.049 1835 0.938 1836 0.944 1837 0.973 1838 0.908 1839 1.279 1840 1.023 1841 1.005 1842 0.878 1843 1.042 1844 1 1845 0.956 1846 1.156 1847 1.177 1848 0.865 1849 0.761 1850 1.068 1851 0.973 1852 1.038 1853 0.952 1854 1.011 1855 1.169 1856 1.203 1857 1.24 1858 1.268 1859 1.176 1860 1.486 1861 1.207 1862 1.314 1863 1.067 1864 0.961 1865 0.945 1866 0.542 1867 0.903 1868 0.788 1869 0.884 1870 0.782 1871 0.804 1872 0.654 1873 0.778 1874 0.412 1875 0.644 1876 0.735 1877 0.811 1878 0.533 1879 0.873 1880 0.774 1881 0.943 1882 0.843 1883 0.893 1884 0.99 1885 0.94 1886 1.021 1887 0.995 1888 1.173 1889 1.128 1890 0.448 1891 1.068 1892 0.868 1893 0.919 1894 0.866 1895 0.897 1896 1.034 1897 1.004 1898 0.684 1899 1.139 1900 1.186 1901 1.018 1902 0.862 1903 0.877 1904 0.939 1905 0.847 1906 0.969 1907 1.074 1908 0.547 1909 1.195 1910 1.19 1911 0.987 1912 0.658 1913 1.022 1914 1.133 1915 1.063 1916 1.07 1917 1.037 1918 0.824 1919 1.128 1920 1.124 1921 0.865 1922 1.027 1923 1.116 1924 1.157 1925 1.188 1926 1.243 1927 1.153 1928 0.921 1929 1.191 1930 1.008 1931 1.027 1932 1.061 1933 0.951 1934 0.886 1935 1.126 1936 0.648 1937 1.013 1938 0.88 1939 1.071 1940 1.322 1941 1.3 1942 1.545 1943 1.252 1944 1.21 1945 1.142 1946 1.13 1947 1.034 1948 1.118 1949 1.022 1950 1.049 1951 0.648 1952 0.817 1953 0.866 1954 1.057 1955 1.001 1956 0.863 1957 0.953 1958 1.039 1959 1.186 1960 1.243 1961 1.268 1962 1.019 1963 1.094 1964 0.802 1965 0.905 1966 0.809 1967 1.202 1968 1.003 1969 1.183 1970 1.322 1971 1.237 1972 1.757 1973 1.526 1974 1.249 1975 1.252