# europe_norw009 - Stonglandseidet - 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/3743 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_norw009 - Stonglandseidet - 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: Stonglandseidet # Location: # Country: Norway # Northernmost_Latitude: 69.08 # Southernmost_Latitude: 69.08 # Easternmost_Longitude: 17.22 # Westernmost_Longitude: 17.22 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: europe_norw009B # Earliest_Year: 1403 # 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":"4.76720568849","T2":"18.2208154134","M1":"0.0225730728746","M2":"0.380826430036"}} #-------------------- # 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 1403 1.158 1404 0.948 1405 0.739 1406 0.988 1407 0.707 1408 0.983 1409 0.888 1410 0.868 1411 0.772 1412 1.272 1413 1.454 1414 1.329 1415 1.063 1416 1.198 1417 1.099 1418 1.359 1419 1.263 1420 1.045 1421 0.863 1422 0.823 1423 0.901 1424 1.253 1425 1.034 1426 0.849 1427 0.781 1428 0.877 1429 1.154 1430 0.99 1431 0.988 1432 0.911 1433 0.907 1434 0.94 1435 0.885 1436 0.728 1437 0.911 1438 0.786 1439 0.846 1440 1.202 1441 1.039 1442 1.148 1443 1.498 1444 1.439 1445 1.073 1446 0.722 1447 0.477 1448 0.463 1449 0.535 1450 0.749 1451 0.562 1452 0.755 1453 0.587 1454 1.274 1455 2.056 1456 1.282 1457 0.646 1458 1.009 1459 0.778 1460 0.91 1461 0.824 1462 0.896 1463 0.811 1464 0.956 1465 1.015 1466 0.939 1467 0.771 1468 0.73 1469 0.877 1470 0.958 1471 0.977 1472 0.82 1473 0.93 1474 0.79 1475 0.885 1476 0.991 1477 1.175 1478 1.395 1479 1.15 1480 1.128 1481 1.061 1482 0.945 1483 1.303 1484 1.03 1485 1.168 1486 1.022 1487 1.058 1488 1.543 1489 1.355 1490 0.988 1491 0.859 1492 1.095 1493 1.335 1494 1.198 1495 0.909 1496 1.029 1497 1.182 1498 1.115 1499 0.759 1500 0.814 1501 1.121 1502 1.111 1503 1.025 1504 1.025 1505 0.868 1506 0.876 1507 0.941 1508 1.039 1509 0.851 1510 0.767 1511 0.713 1512 0.977 1513 0.898 1514 0.624 1515 0.845 1516 0.716 1517 0.901 1518 0.798 1519 0.754 1520 0.949 1521 1.01 1522 0.912 1523 0.963 1524 0.645 1525 0.915 1526 0.924 1527 0.926 1528 1.013 1529 0.802 1530 0.92 1531 1.321 1532 1.348 1533 1.278 1534 1.225 1535 1.232 1536 0.928 1537 1.228 1538 1.116 1539 0.989 1540 1.235 1541 1.051 1542 0.904 1543 0.813 1544 0.855 1545 0.958 1546 1.048 1547 0.798 1548 0.819 1549 0.661 1550 0.804 1551 0.905 1552 1.06 1553 1.076 1554 1.039 1555 1.013 1556 0.951 1557 0.921 1558 1.079 1559 1.3 1560 1.293 1561 0.957 1562 1.067 1563 0.835 1564 0.892 1565 1.14 1566 1.164 1567 1.081 1568 0.901 1569 1.027 1570 1.139 1571 0.841 1572 1.08 1573 1.186 1574 0.824 1575 0.841 1576 0.909 1577 0.969 1578 0.851 1579 0.851 1580 0.737 1581 1.027 1582 0.969 1583 1.123 1584 1.132 1585 0.992 1586 0.871 1587 0.939 1588 0.923 1589 0.968 1590 1.002 1591 1.113 1592 0.727 1593 0.778 1594 1.106 1595 1.046 1596 1.027 1597 0.918 1598 1.257 1599 1.245 1600 1.187 1601 0.735 1602 0.896 1603 0.757 1604 0.6 1605 0.64 1606 1.007 1607 0.878 1608 0.974 1609 0.756 1610 0.773 1611 1.129 1612 1.149 1613 1.202 1614 0.942 1615 0.726 1616 0.712 1617 1.001 1618 1.214 1619 0.977 1620 0.879 1621 1.267 1622 1.166 1623 1.09 1624 1.198 1625 1.097 1626 1.46 1627 1.38 1628 1.373 1629 1.281 1630 1.004 1631 1.242 1632 1.198 1633 0.826 1634 0.899 1635 0.697 1636 0.787 1637 0.848 1638 0.629 1639 0.824 1640 0.727 1641 0.46 1642 0.607 1643 0.882 1644 0.799 1645 0.642 1646 0.974 1647 0.914 1648 1.225 1649 1.266 1650 0.994 1651 1.239 1652 0.957 1653 0.777 1654 0.944 1655 1.154 1656 1.009 1657 1.101 1658 1.087 1659 1.248 1660 1.304 1661 1.02 1662 1.157 1663 1.039 1664 0.922 1665 1.082 1666 1.059 1667 1.188 1668 1.445 1669 1.109 1670 1.096 1671 0.967 1672 0.574 1673 0.816 1674 1.005 1675 0.825 1676 0.748 1677 0.874 1678 0.702 1679 0.662 1680 0.334 1681 0.435 1682 0.676 1683 0.688 1684 0.673 1685 0.831 1686 0.489 1687 0.618 1688 0.56 1689 0.893 1690 0.929 1691 0.885 1692 1.109 1693 1.165 1694 1.236 1695 1.1 1696 0.838 1697 0.911 1698 1.223 1699 1.074 1700 1.079 1701 1.103 1702 1.204 1703 1.027 1704 1.213 1705 0.793 1706 0.687 1707 1.153 1708 1.112 1709 0.926 1710 1.225 1711 1.234 1712 1.066 1713 1.295 1714 0.727 1715 0.895 1716 0.879 1717 0.926 1718 1.025 1719 0.733 1720 0.821 1721 0.926 1722 0.974 1723 0.803 1724 0.948 1725 1.111 1726 1.039 1727 0.798 1728 0.695 1729 0.935 1730 0.97 1731 1.025 1732 0.919 1733 0.862 1734 0.572 1735 0.806 1736 1.197 1737 0.835 1738 0.917 1739 1.06 1740 1.005 1741 0.778 1742 1.159 1743 1.01 1744 1.098 1745 1.02 1746 1.081 1747 0.884 1748 1.099 1749 1.039 1750 1.123 1751 0.813 1752 0.93 1753 0.92 1754 1.012 1755 1.218 1756 0.99 1757 1.078 1758 1.239 1759 0.95 1760 0.934 1761 1.091 1762 1.268 1763 0.956 1764 0.917 1765 1.227 1766 1.332 1767 1.209 1768 0.877 1769 0.708 1770 0.73 1771 0.634 1772 0.862 1773 0.94 1774 1.381 1775 1.3 1776 0.963 1777 1.175 1778 1.178 1779 1.025 1780 0.99 1781 0.862 1782 0.836 1783 0.691 1784 0.617 1785 0.904 1786 0.656 1787 0.938 1788 0.804 1789 1.001 1790 0.983 1791 1.041 1792 1.106 1793 1.291 1794 1.397 1795 1.311 1796 1.425 1797 1.213 1798 1.459 1799 1.508 1800 1.119 1801 1.466 1802 1.212 1803 0.9 1804 1.117 1805 1.131 1806 0.655 1807 0.767 1808 0.89 1809 0.819 1810 0.811 1811 0.824 1812 0.607 1813 0.917 1814 0.822 1815 0.761 1816 1.029 1817 1.021 1818 1.138 1819 1.346 1820 1.26 1821 1.08 1822 0.713 1823 1.052 1824 1.202 1825 0.827 1826 1.281 1827 1.3 1828 1.407 1829 1.254 1830 0.971 1831 1.291 1832 1.361 1833 1.124 1834 1.019 1835 0.866 1836 1.078 1837 0.632 1838 0.94 1839 0.789 1840 0.92 1841 0.921 1842 1.028 1843 1.059 1844 1.012 1845 1.145 1846 1.243 1847 1.159 1848 0.945 1849 1.089 1850 0.853 1851 1.172 1852 1.156 1853 1.086 1854 1.02 1855 0.87 1856 0.983 1857 0.801 1858 1.123 1859 0.823 1860 1.06 1861 1.245 1862 1.032 1863 0.81 1864 0.938 1865 0.82 1866 0.695 1867 0.69 1868 0.484 1869 0.764 1870 0.884 1871 0.887 1872 0.956 1873 1.305 1874 0.838 1875 0.965 1876 1.198 1877 1.076 1878 1.078 1879 1.287 1880 0.99 1881 0.699 1882 0.623 1883 0.75 1884 0.812 1885 0.689 1886 0.942 1887 0.917 1888 0.859 1889 0.679 1890 0.998 1891 0.867 1892 0.393 1893 0.625 1894 0.794 1895 0.915 1896 0.763 1897 0.591 1898 0.696 1899 0.584 1900 0.41 1901 0.748 1902 0.803 1903 0.397 1904 0.577 1905 0.722 1906 0.754 1907 0.619 1908 0.858 1909 0.597 1910 0.644 1911 0.6 1912 0.799 1913 0.839 1914 0.939 1915 0.931 1916 0.647 1917 0.827 1918 1.006 1919 0.968 1920 0.957 1921 0.942 1922 0.812 1923 0.684 1924 0.894 1925 1.225 1926 0.898 1927 1.002 1928 0.976 1929 0.933 1930 1.473 1931 1.187 1932 0.967 1933 0.804 1934 1.151 1935 0.828 1936 0.964 1937 1.284 1938 1.127 1939 0.984 1940 1.193 1941 1.541 1942 1.264 1943 1.246 1944 1.324 1945 1.371 1946 1.23 1947 1.103 1948 0.989 1949 1.242 1950 1.356 1951 1.002 1952 0.867 1953 1.076 1954 1.191 1955 0.906 1956 1.137 1957 1.235 1958 1.258 1959 1.057 1960 1.308 1961 1.139 1962 0.859 1963 0.841 1964 1.092 1965 0.774 1966 0.885 1967 0.766 1968 0.972 1969 1.287 1970 1.307 1971 1.213 1972 1.248 1973 1.364 1974 1.183 1975 0.812 1976 0.819 1977 1.014 1978 0.917 1979 1.144 1980 1.313 1981 1.101 1982 1.099 1983 1.169 1984 1.198 1985 1.858 1986 1.03 1987 0.892 1988 0.996 1989 0.747 1990 1.045 1991 0.977 1992 1.002 1993 1.158 1994 0.903 1995 0.651 1996 1.044 1997 0.892