# australia_newz005 - Ahaura - 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/3127 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz005 - Ahaura - 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: Ahaura # Location: # Country: New Zealand # Northernmost_Latitude: -42.38 # Southernmost_Latitude: -42.38 # Easternmost_Longitude: 171.8 # Westernmost_Longitude: 171.8 # Elevation: 244 m #-------------------- # Data_Collection # Collection_Name: australia_newz005B # Earliest_Year: 1403 # Most_Recent_Year: 1976 # 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":"4.9065894162","T2":"13.8712285453","M1":"0.0226001147689","M2":"0.428380374437"}} #-------------------- # Species # Species_Name: silver pine # Species_Code: DACO #-------------------- # 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 1403 0.593 1404 0.572 1405 0.607 1406 0.614 1407 0.621 1408 0.655 1409 0.711 1410 0.597 1411 0.485 1412 0.598 1413 0.548 1414 0.596 1415 0.596 1416 0.732 1417 0.771 1418 0.653 1419 0.675 1420 0.663 1421 0.676 1422 0.788 1423 0.673 1424 0.611 1425 0.633 1426 0.482 1427 0.581 1428 0.868 1429 1.124 1430 1.054 1431 0.895 1432 0.941 1433 0.691 1434 0.841 1435 1.011 1436 1.041 1437 0.77 1438 0.911 1439 0.697 1440 0.756 1441 0.77 1442 0.838 1443 0.803 1444 0.786 1445 0.903 1446 0.981 1447 0.879 1448 0.92 1449 0.798 1450 0.721 1451 0.878 1452 0.879 1453 0.831 1454 0.865 1455 0.846 1456 0.706 1457 0.909 1458 0.921 1459 0.88 1460 0.939 1461 0.988 1462 0.483 1463 0.899 1464 0.854 1465 1.064 1466 1.17 1467 1.234 1468 1.265 1469 0.965 1470 1.236 1471 1.33 1472 0.949 1473 0.957 1474 0.625 1475 0.913 1476 0.907 1477 0.781 1478 1.046 1479 1.099 1480 0.952 1481 1.011 1482 0.908 1483 0.985 1484 0.996 1485 1.049 1486 1.209 1487 1.162 1488 1.021 1489 0.945 1490 0.867 1491 0.903 1492 1.002 1493 1.122 1494 0.738 1495 1.005 1496 0.714 1497 1.069 1498 1.089 1499 1.13 1500 1.023 1501 0.936 1502 0.595 1503 0.851 1504 0.534 1505 0.586 1506 0.555 1507 0.303 1508 0.329 1509 0.332 1510 0.333 1511 0.292 1512 0.308 1513 0.299 1514 0.371 1515 0.474 1516 0.553 1517 0.544 1518 0.6 1519 0.723 1520 0.701 1521 0.601 1522 0.565 1523 0.602 1524 0.615 1525 0.672 1526 0.798 1527 1.101 1528 0.853 1529 0.943 1530 1.079 1531 0.946 1532 0.842 1533 0.974 1534 1.051 1535 0.831 1536 0.947 1537 0.813 1538 0.948 1539 0.841 1540 0.941 1541 0.748 1542 0.957 1543 0.892 1544 0.956 1545 0.929 1546 0.927 1547 0.872 1548 0.848 1549 1 1550 0.975 1551 1.026 1552 1.083 1553 0.981 1554 0.975 1555 1.345 1556 1.167 1557 1.281 1558 1.099 1559 1.166 1560 1.313 1561 1.31 1562 1.384 1563 1.133 1564 1.293 1565 1.554 1566 1.218 1567 0.944 1568 1.014 1569 1.128 1570 0.887 1571 1.105 1572 1.382 1573 1.034 1574 1.217 1575 1.162 1576 0.91 1577 0.91 1578 1.146 1579 1.098 1580 1.153 1581 1.156 1582 1.018 1583 0.976 1584 1.186 1585 1.094 1586 1.149 1587 1.058 1588 0.932 1589 0.824 1590 0.767 1591 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0.981 1683 0.871 1684 0.889 1685 1.118 1686 1.148 1687 0.973 1688 0.94 1689 0.918 1690 0.882 1691 0.701 1692 0.943 1693 0.959 1694 0.809 1695 0.926 1696 1.022 1697 0.939 1698 1.037 1699 0.976 1700 0.851 1701 1.003 1702 0.849 1703 0.694 1704 0.875 1705 0.874 1706 1.139 1707 0.769 1708 1.034 1709 1.252 1710 1.205 1711 1.284 1712 1.275 1713 0.997 1714 1.289 1715 1.28 1716 1.252 1717 1.207 1718 1.053 1719 1.267 1720 1.261 1721 1.199 1722 0.906 1723 1.185 1724 1.111 1725 1.022 1726 1.171 1727 1.287 1728 1.288 1729 1.012 1730 1.267 1731 0.942 1732 0.751 1733 0.767 1734 0.863 1735 1.034 1736 0.954 1737 0.878 1738 0.951 1739 1.151 1740 1.143 1741 0.84 1742 1.091 1743 0.899 1744 0.83 1745 1.091 1746 1.032 1747 1.033 1748 1.005 1749 0.804 1750 0.731 1751 0.952 1752 1.071 1753 0.831 1754 0.829 1755 0.995 1756 1.113 1757 0.884 1758 0.831 1759 0.8 1760 1.171 1761 0.892 1762 0.937 1763 0.973 1764 1.259 1765 1.173 1766 1.275 1767 1.148 1768 1.242 1769 1.295 1770 1.235 1771 1.356 1772 1.179 1773 1.291 1774 1.09 1775 1.191 1776 0.989 1777 1.102 1778 1.009 1779 0.902 1780 1.107 1781 0.974 1782 0.968 1783 1.31 1784 0.752 1785 0.91 1786 1.091 1787 1.037 1788 0.887 1789 0.994 1790 0.762 1791 0.681 1792 0.693 1793 0.791 1794 0.953 1795 0.903 1796 0.993 1797 0.729 1798 0.727 1799 0.832 1800 1.013 1801 0.861 1802 1.003 1803 1.157 1804 1.123 1805 1.441 1806 0.618 1807 0.96 1808 0.967 1809 0.972 1810 1.033 1811 1.001 1812 1.128 1813 1.109 1814 0.901 1815 0.893 1816 1.077 1817 0.779 1818 0.952 1819 0.885 1820 1.027 1821 0.925 1822 0.991 1823 0.945 1824 0.871 1825 0.987 1826 0.599 1827 0.857 1828 0.912 1829 0.961 1830 0.805 1831 0.79 1832 0.735 1833 1.049 1834 1.114 1835 0.951 1836 0.962 1837 1.178 1838 0.91 1839 1.06 1840 0.782 1841 0.614 1842 0.784 1843 0.958 1844 1.064 1845 0.978 1846 0.966 1847 0.985 1848 0.969 1849 0.95 1850 0.982 1851 1.05 1852 0.964 1853 1.282 1854 0.963 1855 1.006 1856 0.985 1857 1.183 1858 1.232 1859 1.136 1860 1.288 1861 0.956 1862 0.896 1863 0.638 1864 0.851 1865 0.752 1866 0.982 1867 0.852 1868 0.973 1869 0.926 1870 1.061 1871 1.048 1872 1.053 1873 1.051 1874 1.058 1875 1.045 1876 0.905 1877 1.113 1878 1.108 1879 1.435 1880 1.215 1881 1.147 1882 1.245 1883 0.92 1884 0.967 1885 0.833 1886 0.88 1887 0.681 1888 0.962 1889 1.136 1890 0.853 1891 1.059 1892 0.941 1893 1.157 1894 1.145 1895 1.073 1896 1.117 1897 0.912 1898 0.931 1899 1.01 1900 1.198 1901 1.165 1902 1.34 1903 1.539 1904 1.298 1905 0.982 1906 1.126 1907 1.103 1908 1.115 1909 1.08 1910 1 1911 0.651 1912 0.852 1913 1.042 1914 0.796 1915 0.988 1916 0.767 1917 0.787 1918 0.816 1919 0.928 1920 0.942 1921 0.819 1922 0.582 1923 0.898 1924 0.983 1925 0.838 1926 0.83 1927 0.987 1928 0.669 1929 0.776 1930 0.688 1931 0.787 1932 1.144 1933 1.116 1934 1.163 1935 0.931 1936 0.777 1937 0.927 1938 0.679 1939 0.764 1940 0.965 1941 1.026 1942 1.002 1943 1.112 1944 0.907 1945 1.09 1946 1.067 1947 1.002 1948 0.977 1949 1.016 1950 0.802 1951 0.744 1952 0.985 1953 0.991 1954 0.956 1955 0.987 1956 0.686 1957 0.687 1958 0.728 1959 0.793 1960 0.94 1961 0.926 1962 0.88 1963 0.802 1964 0.711 1965 0.714 1966 0.859 1967 0.866 1968 0.812 1969 0.874 1970 0.875 1971 0.809 1972 0.812 1973 0.922 1974 0.98 1975 0.931 1976 1.014