# australia_ausl018 - Pieman River - 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/3842 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_ausl018 - Pieman River - 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: Pieman River # Location: # Country: Australia # Northernmost_Latitude: -41.78 # Southernmost_Latitude: -41.78 # Easternmost_Longitude: 145.42 # Westernmost_Longitude: 145.42 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: australia_ausl018B # Earliest_Year: 1290 # Most_Recent_Year: 1975 # 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":"4.57790982837","T2":"12.0160299734","M1":"0.0222209508454","M2":"0.572616394008"}} A negative exponential detrending approached 0, thus this dataset was alternately standardized using a 75% cutoff smoothing spline methodology in ARSTAN, following the methodology outlined in Breitenmoser 2014. #-------------------- # Species # Species_Name: celery top pine # Species_Code: PHAS #-------------------- # 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 1290 0.675 1291 0.728 1292 0.584 1293 0.663 1294 0.617 1295 0.736 1296 0.704 1297 0.724 1298 0.619 1299 0.745 1300 0.865 1301 0.826 1302 0.84 1303 0.894 1304 0.995 1305 0.923 1306 0.95 1307 1.086 1308 0.919 1309 0.933 1310 1.116 1311 1.11 1312 1.145 1313 1.173 1314 1.161 1315 1.305 1316 1.211 1317 1.165 1318 1.145 1319 1.112 1320 1.168 1321 1.17 1322 1.082 1323 1.296 1324 1.359 1325 1.423 1326 1.162 1327 1.315 1328 1.234 1329 1.131 1330 1.146 1331 1.148 1332 1.212 1333 1.087 1334 1.207 1335 1.174 1336 1.266 1337 1.219 1338 1.143 1339 0.919 1340 1.181 1341 1.217 1342 0.915 1343 0.859 1344 0.789 1345 1.116 1346 0.982 1347 1.019 1348 1.02 1349 1.029 1350 1.044 1351 1.038 1352 1.039 1353 0.947 1354 1.042 1355 0.978 1356 1.073 1357 0.9 1358 1.018 1359 0.91 1360 0.816 1361 0.912 1362 0.876 1363 0.826 1364 0.959 1365 1.011 1366 0.924 1367 1.11 1368 1.03 1369 1.134 1370 0.839 1371 0.922 1372 0.997 1373 0.976 1374 0.731 1375 0.881 1376 1.032 1377 1.033 1378 1.102 1379 1.141 1380 0.886 1381 1.182 1382 0.911 1383 0.98 1384 1.103 1385 0.922 1386 0.984 1387 0.932 1388 1.017 1389 1.08 1390 0.981 1391 1.229 1392 0.883 1393 0.926 1394 1.151 1395 1.076 1396 0.92 1397 1.282 1398 1.13 1399 1.254 1400 1.156 1401 1.504 1402 1.249 1403 1.593 1404 1.049 1405 1.037 1406 1.279 1407 1.43 1408 1.382 1409 1.124 1410 1.165 1411 1.247 1412 1.101 1413 1.222 1414 1.464 1415 1.207 1416 1.228 1417 0.785 1418 1.148 1419 0.872 1420 1.127 1421 0.699 1422 0.64 1423 1.082 1424 0.94 1425 0.994 1426 0.977 1427 1.102 1428 0.9 1429 1.23 1430 1.068 1431 1.332 1432 1.215 1433 0.978 1434 0.922 1435 0.835 1436 1.071 1437 1.158 1438 1.234 1439 1.247 1440 0.907 1441 0.501 1442 0.512 1443 0.979 1444 0.652 1445 0.568 1446 0.67 1447 1.062 1448 1.032 1449 1.366 1450 0.776 1451 1.229 1452 0.654 1453 0.52 1454 0.754 1455 0.505 1456 0.893 1457 0.96 1458 1.36 1459 1.188 1460 1.019 1461 1.246 1462 0.543 1463 0.82 1464 0.832 1465 0.75 1466 1.067 1467 0.769 1468 1.082 1469 1.044 1470 1.136 1471 1.177 1472 0.78 1473 1 1474 0.726 1475 1.043 1476 0.83 1477 0.565 1478 0.691 1479 0.953 1480 0.88 1481 1.001 1482 0.757 1483 0.723 1484 0.816 1485 0.616 1486 0.554 1487 0.641 1488 0.67 1489 0.792 1490 0.695 1491 0.932 1492 0.795 1493 0.882 1494 0.843 1495 0.977 1496 0.827 1497 0.892 1498 1.115 1499 0.725 1500 0.667 1501 0.58 1502 0.739 1503 1.198 1504 1.041 1505 0.941 1506 1.467 1507 0.861 1508 0.915 1509 1.022 1510 1.035 1511 0.822 1512 1.202 1513 1.482 1514 1.27 1515 1.234 1516 1.043 1517 0.87 1518 0.897 1519 0.625 1520 0.978 1521 1.044 1522 0.834 1523 0.685 1524 0.612 1525 0.776 1526 0.609 1527 0.508 1528 0.57 1529 0.693 1530 0.758 1531 0.825 1532 0.536 1533 0.55 1534 0.847 1535 0.706 1536 0.456 1537 0.573 1538 0.493 1539 0.578 1540 0.547 1541 0.654 1542 0.44 1543 0.592 1544 0.453 1545 0.673 1546 0.629 1547 0.912 1548 0.975 1549 1.174 1550 1.021 1551 1.008 1552 0.927 1553 0.779 1554 0.995 1555 1.293 1556 0.863 1557 0.875 1558 0.55 1559 0.78 1560 0.835 1561 1.048 1562 1.097 1563 0.93 1564 1.012 1565 0.849 1566 0.861 1567 1.151 1568 0.963 1569 0.974 1570 0.883 1571 0.616 1572 0.518 1573 0.763 1574 0.742 1575 0.597 1576 0.843 1577 0.951 1578 1.12 1579 0.92 1580 0.739 1581 0.888 1582 1.017 1583 0.55 1584 0.89 1585 0.946 1586 0.638 1587 0.81 1588 0.803 1589 0.768 1590 0.825 1591 0.666 1592 0.811 1593 0.647 1594 0.953 1595 0.781 1596 1.009 1597 1.046 1598 1.014 1599 0.973 1600 1.026 1601 1.25 1602 0.918 1603 0.901 1604 1.359 1605 0.981 1606 1.032 1607 1.061 1608 0.98 1609 1.057 1610 1.025 1611 1.094 1612 1.257 1613 0.937 1614 1.141 1615 1.231 1616 1.301 1617 1.077 1618 1.064 1619 0.991 1620 1.13 1621 1.043 1622 1.24 1623 0.91 1624 1.447 1625 0.991 1626 0.964 1627 1.063 1628 1.177 1629 1.411 1630 1.273 1631 1.409 1632 1.016 1633 1.431 1634 1.52 1635 1.293 1636 0.991 1637 1.223 1638 1.168 1639 1.335 1640 1.031 1641 1.244 1642 1.351 1643 1.135 1644 0.929 1645 1.087 1646 1.259 1647 1.059 1648 0.92 1649 1.142 1650 0.909 1651 1.308 1652 0.894 1653 1.117 1654 1.192 1655 1.158 1656 1.019 1657 1.384 1658 1.064 1659 1.066 1660 0.549 1661 0.533 1662 0.757 1663 0.882 1664 1.306 1665 0.712 1666 0.92 1667 0.707 1668 1.199 1669 1.024 1670 1.026 1671 0.666 1672 0.841 1673 0.801 1674 0.826 1675 0.791 1676 1.087 1677 0.708 1678 0.896 1679 0.936 1680 1.155 1681 0.931 1682 1.195 1683 0.904 1684 0.803 1685 1.112 1686 1.516 1687 0.725 1688 0.755 1689 0.573 1690 0.991 1691 0.816 1692 1.329 1693 1.09 1694 1.256 1695 0.899 1696 0.855 1697 0.905 1698 1.202 1699 1.338 1700 1.374 1701 1.056 1702 0.922 1703 1.165 1704 0.726 1705 0.953 1706 1.303 1707 1.008 1708 0.972 1709 0.928 1710 0.993 1711 0.753 1712 0.907 1713 1.032 1714 1.273 1715 0.748 1716 0.979 1717 0.953 1718 1.1 1719 0.71 1720 0.997 1721 0.754 1722 0.969 1723 0.653 1724 0.692 1725 0.604 1726 1.34 1727 0.915 1728 0.767 1729 1.032 1730 0.636 1731 0.951 1732 0.95 1733 1.271 1734 0.998 1735 1.094 1736 0.719 1737 1.153 1738 0.78 1739 1.036 1740 0.611 1741 0.737 1742 0.833 1743 1.058 1744 1.149 1745 0.777 1746 0.977 1747 0.441 1748 0.935 1749 0.781 1750 0.853 1751 1.255 1752 0.821 1753 1.119 1754 0.627 1755 0.927 1756 0.524 1757 0.844 1758 0.697 1759 1.055 1760 0.873 1761 1.424 1762 0.949 1763 1.385 1764 0.649 1765 0.527 1766 0.876 1767 1.115 1768 0.99 1769 0.997 1770 1.177 1771 0.887 1772 0.883 1773 0.871 1774 1.099 1775 1.103 1776 0.962 1777 0.841 1778 1.224 1779 1.367 1780 1.08 1781 1.18 1782 1.411 1783 1.461 1784 1.504 1785 1.104 1786 0.677 1787 0.924 1788 1.251 1789 0.848 1790 0.575 1791 1.041 1792 1.45 1793 0.862 1794 1.285 1795 1.461 1796 0.789 1797 0.88 1798 1.095 1799 1.033 1800 1.046 1801 0.866 1802 1.057 1803 1.135 1804 1.368 1805 0.701 1806 0.649 1807 0.672 1808 0.539 1809 0.825 1810 1.056 1811 0.801 1812 0.722 1813 1.24 1814 0.411 1815 0.797 1816 0.348 1817 1.093 1818 0.679 1819 0.894 1820 1.179 1821 0.911 1822 1.064 1823 1.007 1824 1.224 1825 1.107 1826 1.061 1827 1.026 1828 0.962 1829 1.087 1830 1.29 1831 1.567 1832 1.219 1833 1.226 1834 1.016 1835 0.834 1836 1.34 1837 1.122 1838 1.279 1839 1.317 1840 0.747 1841 0.807 1842 1.005 1843 0.825 1844 1.231 1845 0.635 1846 0.896 1847 0.603 1848 0.78 1849 1.03 1850 0.685 1851 0.856 1852 0.823 1853 1.23 1854 0.775 1855 0.742 1856 0.832 1857 1.141 1858 0.619 1859 0.833 1860 0.501 1861 0.922 1862 1.409 1863 1.125 1864 1.107 1865 0.966 1866 0.775 1867 1.195 1868 0.869 1869 0.984 1870 0.828 1871 1.231 1872 0.713 1873 0.931 1874 0.883 1875 1.133 1876 1.21 1877 1.463 1878 1.014 1879 0.918 1880 0.732 1881 1.042 1882 0.828 1883 0.896 1884 1.426 1885 1.161 1886 0.94 1887 0.681 1888 1.029 1889 0.569 1890 0.71 1891 1.065 1892 0.874 1893 1.038 1894 0.767 1895 1.331 1896 0.807 1897 0.956 1898 0.748 1899 0.688 1900 0.921 1901 1.145 1902 1.214 1903 1.163 1904 1.24 1905 0.968 1906 1.485 1907 1.572 1908 0.492 1909 0.844 1910 0.543 1911 1.266 1912 1.394 1913 1.699 1914 0.924 1915 1.338 1916 0.991 1917 1.207 1918 0.815 1919 0.896 1920 0.785 1921 0.952 1922 1.036 1923 1.028 1924 1.208 1925 0.62 1926 0.926 1927 0.647 1928 0.894 1929 0.854 1930 0.689 1931 0.956 1932 1.012 1933 0.845 1934 0.774 1935 0.644 1936 0.757 1937 0.757 1938 0.805 1939 0.852 1940 1.093 1941 1.115 1942 1.136 1943 0.845 1944 0.756 1945 1.037 1946 0.86 1947 0.912 1948 1.197 1949 1.11 1950 0.96 1951 0.586 1952 1.214 1953 0.719 1954 0.783 1955 0.921 1956 0.782 1957 1.343 1958 1.05 1959 1.08 1960 0.987 1961 0.702 1962 1.134 1963 0.888 1964 1.267 1965 1.408 1966 0.985 1967 1.371 1968 1.144 1969 0.96 1970 1.215 1971 1.124 1972 1.653 1973 1.336 1974 1.335 1975 1.203