# europe_norw011 - Rorstaddalen - 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/3972 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_norw011 - Rorstaddalen - 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: Rorstaddalen # Location: # Country: Norway # Northernmost_Latitude: 67.6 # Southernmost_Latitude: 67.6 # Easternmost_Longitude: 15.33 # Westernmost_Longitude: 15.33 # Elevation: 90 m #-------------------- # Data_Collection # Collection_Name: europe_norw011B # Earliest_Year: 1409 # Most_Recent_Year: 1997 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.92733629935","T2":"17.8261916002","M1":"0.0221929913376","M2":"0.373551117783"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1409 1.119 1410 0.94 1411 1.014 1412 1.05 1413 0.906 1414 1.26 1415 1.021 1416 0.877 1417 1.18 1418 1.074 1419 1.158 1420 1.049 1421 0.946 1422 0.979 1423 1.124 1424 1.165 1425 1.106 1426 1.246 1427 1.382 1428 1.112 1429 0.867 1430 0.816 1431 0.715 1432 0.649 1433 0.666 1434 0.796 1435 0.508 1436 0.486 1437 0.519 1438 0.652 1439 0.908 1440 1.193 1441 1.054 1442 1.019 1443 1.03 1444 1.325 1445 1.447 1446 1.445 1447 1.286 1448 0.889 1449 0.807 1450 NAN 1451 NAN 1452 NAN 1453 NAN 1454 NAN 1455 NAN 1456 NAN 1457 NAN 1458 NAN 1459 NAN 1460 NAN 1461 NAN 1462 NAN 1463 NAN 1464 NAN 1465 NAN 1466 NAN 1467 NAN 1468 NAN 1469 NAN 1470 NAN 1471 NAN 1472 NAN 1473 NAN 1474 NAN 1475 NAN 1476 NAN 1477 NAN 1478 NAN 1479 NAN 1480 NAN 1481 NAN 1482 NAN 1483 NAN 1484 NAN 1485 NAN 1486 NAN 1487 NAN 1488 NAN 1489 NAN 1490 NAN 1491 NAN 1492 NAN 1493 NAN 1494 NAN 1495 NAN 1496 NAN 1497 NAN 1498 NAN 1499 NAN 1500 NAN 1501 NAN 1502 NAN 1503 NAN 1504 NAN 1505 NAN 1506 NAN 1507 NAN 1508 NAN 1509 NAN 1510 NAN 1511 NAN 1512 NAN 1513 NAN 1514 NAN 1515 NAN 1516 NAN 1517 NAN 1518 NAN 1519 NAN 1520 NAN 1521 NAN 1522 NAN 1523 NAN 1524 NAN 1525 NAN 1526 NAN 1527 NAN 1528 NAN 1529 NAN 1530 NAN 1531 NAN 1532 NAN 1533 NAN 1534 NAN 1535 NAN 1536 NAN 1537 NAN 1538 NAN 1539 NAN 1540 NAN 1541 NAN 1542 NAN 1543 NAN 1544 NAN 1545 NAN 1546 NAN 1547 NAN 1548 NAN 1549 NAN 1550 0.647 1551 0.726 1552 0.586 1553 0.676 1554 0.872 1555 0.894 1556 0.98 1557 0.715 1558 0.788 1559 1.05 1560 1.131 1561 1.068 1562 0.857 1563 1.07 1564 1.422 1565 1.557 1566 1.467 1567 1.019 1568 0.925 1569 0.945 1570 1.137 1571 1.184 1572 1.33 1573 1.381 1574 1.077 1575 1.111 1576 1.037 1577 0.957 1578 0.962 1579 0.99 1580 0.839 1581 1.143 1582 1.052 1583 1 1584 0.88 1585 1.163 1586 1.049 1587 0.875 1588 0.799 1589 0.969 1590 0.781 1591 0.897 1592 0.714 1593 0.785 1594 1.036 1595 1.017 1596 1.058 1597 0.876 1598 1.139 1599 1.212 1600 1.253 1601 0.746 1602 0.973 1603 1.192 1604 1.069 1605 0.869 1606 1.382 1607 1.337 1608 1.273 1609 0.802 1610 0.843 1611 1.039 1612 0.801 1613 1.106 1614 0.822 1615 0.636 1616 0.633 1617 1.038 1618 0.929 1619 0.648 1620 0.595 1621 0.706 1622 0.771 1623 0.941 1624 1.093 1625 0.912 1626 0.986 1627 1.001 1628 0.938 1629 1.417 1630 1.203 1631 1.271 1632 1.246 1633 0.727 1634 0.867 1635 1.079 1636 1.266 1637 1.079 1638 1.034 1639 1.284 1640 1.065 1641 0.726 1642 0.896 1643 0.991 1644 0.709 1645 0.443 1646 0.845 1647 0.879 1648 0.935 1649 0.886 1650 0.883 1651 0.925 1652 0.773 1653 0.69 1654 1.131 1655 1.109 1656 1.037 1657 1.312 1658 1.44 1659 1.219 1660 1.155 1661 1.102 1662 1.066 1663 1.224 1664 1.157 1665 1.074 1666 0.954 1667 1.202 1668 1.14 1669 0.926 1670 0.842 1671 0.818 1672 0.701 1673 0.92 1674 1.006 1675 0.725 1676 0.723 1677 1.046 1678 0.968 1679 0.67 1680 0.174 1681 0.376 1682 0.52 1683 0.72 1684 0.785 1685 0.763 1686 0.498 1687 0.621 1688 0.731 1689 1.009 1690 0.809 1691 0.746 1692 0.818 1693 1.087 1694 1.041 1695 0.568 1696 0.431 1697 0.86 1698 1.026 1699 1.053 1700 1.014 1701 1.063 1702 1.391 1703 1.188 1704 0.994 1705 0.485 1706 0.699 1707 1.222 1708 0.892 1709 0.622 1710 0.917 1711 1.069 1712 1.334 1713 1.149 1714 0.549 1715 0.756 1716 0.948 1717 0.924 1718 0.545 1719 0.706 1720 0.701 1721 0.848 1722 1.219 1723 1.044 1724 0.992 1725 1.009 1726 1.238 1727 1.199 1728 0.743 1729 0.884 1730 1.314 1731 1.116 1732 1.076 1733 0.946 1734 0.696 1735 0.905 1736 1.356 1737 0.874 1738 1.228 1739 1.207 1740 0.742 1741 0.673 1742 0.941 1743 0.942 1744 1.051 1745 1.162 1746 1.054 1747 0.976 1748 1.064 1749 0.9 1750 1.21 1751 0.988 1752 1.361 1753 1.533 1754 1.499 1755 1.864 1756 1.348 1757 1.346 1758 1.444 1759 0.989 1760 0.929 1761 1.054 1762 1.277 1763 1.035 1764 0.879 1765 0.941 1766 1.241 1767 1.031 1768 0.872 1769 0.875 1770 0.711 1771 0.758 1772 0.8 1773 1.125 1774 1.444 1775 1.198 1776 0.955 1777 0.997 1778 1.12 1779 0.992 1780 0.799 1781 0.636 1782 0.777 1783 0.831 1784 0.726 1785 0.936 1786 0.859 1787 1.131 1788 1.136 1789 1.048 1790 0.98 1791 0.873 1792 1.08 1793 1.317 1794 1.109 1795 0.954 1796 1.031 1797 1.259 1798 1.467 1799 1.33 1800 1.002 1801 1.346 1802 1.178 1803 0.898 1804 1.197 1805 1.137 1806 0.938 1807 0.837 1808 1.316 1809 1.161 1810 0.821 1811 0.828 1812 0.713 1813 0.83 1814 1.319 1815 1.31 1816 1.317 1817 1.132 1818 1.13 1819 1.173 1820 1.121 1821 0.778 1822 0.836 1823 1.199 1824 1.355 1825 1.048 1826 1.408 1827 1.138 1828 1.328 1829 1.288 1830 1.096 1831 1.348 1832 1.367 1833 1.22 1834 0.926 1835 0.249 1836 0.612 1837 0.536 1838 0.663 1839 0.648 1840 0.745 1841 1.009 1842 1.221 1843 1.087 1844 1.406 1845 1.035 1846 0.747 1847 0.958 1848 0.796 1849 0.787 1850 0.615 1851 0.89 1852 1.021 1853 0.961 1854 1.086 1855 0.895 1856 0.721 1857 0.54 1858 0.89 1859 0.892 1860 1.178 1861 0.748 1862 0.814 1863 0.755 1864 0.7 1865 0.845 1866 0.824 1867 0.616 1868 0.585 1869 0.872 1870 1.066 1871 1.139 1872 1.243 1873 0.939 1874 0.487 1875 0.75 1876 0.996 1877 1.034 1878 1.059 1879 1.077 1880 0.869 1881 0.461 1882 0.814 1883 1.003 1884 1.054 1885 0.667 1886 0.847 1887 0.747 1888 0.744 1889 0.724 1890 0.935 1891 0.828 1892 0.706 1893 0.851 1894 1.053 1895 1.145 1896 0.998 1897 0.951 1898 0.636 1899 0.274 1900 0.388 1901 0.632 1902 0.539 1903 0.577 1904 0.647 1905 0.686 1906 0.712 1907 0.914 1908 0.9 1909 0.407 1910 0.753 1911 0.736 1912 0.984 1913 0.986 1914 1.121 1915 1.106 1916 1.273 1917 1.036 1918 1.232 1919 1.298 1920 1.325 1921 1.09 1922 1.335 1923 0.918 1924 1.043 1925 0.961 1926 0.924 1927 1.065 1928 0.917 1929 0.99 1930 1.35 1931 1.084 1932 1.138 1933 1.04 1934 1.098 1935 0.74 1936 0.806 1937 0.821 1938 1.001 1939 1.058 1940 1.14 1941 1.216 1942 0.993 1943 1.105 1944 1.067 1945 1.294 1946 1.357 1947 1.166 1948 1.365 1949 1.559 1950 1.308 1951 1.207 1952 0.93 1953 1.321 1954 1.37 1955 0.8 1956 0.786 1957 1.045 1958 0.886 1959 0.916 1960 1.065 1961 0.903 1962 0.958 1963 1.063 1964 1.014 1965 0.884 1966 0.977 1967 0.929 1968 1.164 1969 1.088 1970 1.44 1971 0.998 1972 1.142 1973 1.015 1974 1.106 1975 0.84 1976 0.864 1977 1.003 1978 0.999 1979 1.068 1980 1.093 1981 0.67 1982 0.752 1983 0.971 1984 0.979 1985 1.175 1986 0.676 1987 0.705 1988 0.82 1989 0.688 1990 1.014 1991 0.956 1992 0.838 1993 0.912 1994 0.939 1995 0.726 1996 0.812 1997 0.742