# europe_swed305 - Bjorbo - 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/2667 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed305 - Bjorbo - 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: Bjorbo # Location: # Country: Sweden # Northernmost_Latitude: 60.45 # Southernmost_Latitude: 60.45 # Easternmost_Longitude: 14.73 # Westernmost_Longitude: 14.73 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: europe_swed305B # Earliest_Year: 1450 # Most_Recent_Year: 2002 # 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":"4.69644216051","T2":"17.0570962545","M1":"0.022533696527","M2":"0.390498451384"}} #-------------------- # 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 1450 1.236 1451 1.25 1452 0.951 1453 0.911 1454 0.954 1455 0.955 1456 0.891 1457 0.827 1458 0.882 1459 0.829 1460 0.92 1461 0.94 1462 1.008 1463 0.936 1464 0.877 1465 0.866 1466 0.904 1467 0.967 1468 0.937 1469 1.05 1470 1.064 1471 1.035 1472 1.061 1473 1.082 1474 0.987 1475 1.067 1476 1.038 1477 1.05 1478 1.02 1479 0.982 1480 0.899 1481 0.938 1482 0.958 1483 0.863 1484 0.942 1485 0.918 1486 1.034 1487 1.021 1488 0.979 1489 0.814 1490 0.772 1491 0.893 1492 0.93 1493 0.925 1494 0.843 1495 1.003 1496 0.906 1497 0.983 1498 1.032 1499 0.869 1500 0.866 1501 0.937 1502 0.794 1503 0.892 1504 0.924 1505 1.228 1506 1.348 1507 1.46 1508 1.267 1509 1.391 1510 1.218 1511 1.086 1512 1.038 1513 1.012 1514 1.067 1515 1.193 1516 1.073 1517 1.168 1518 1.13 1519 1.177 1520 1 1521 1.172 1522 1.174 1523 0.863 1524 0.959 1525 1 1526 1.057 1527 0.822 1528 0.972 1529 0.729 1530 0.763 1531 0.721 1532 0.871 1533 1.059 1534 1.206 1535 1.117 1536 0.882 1537 0.87 1538 0.747 1539 1.027 1540 0.884 1541 1.179 1542 1.006 1543 0.947 1544 0.895 1545 1.004 1546 1.106 1547 1.114 1548 0.997 1549 0.937 1550 0.937 1551 1.019 1552 1.072 1553 0.869 1554 0.839 1555 0.9 1556 0.917 1557 0.919 1558 1.18 1559 1.514 1560 1.324 1561 1.454 1562 1.207 1563 1.112 1564 1.264 1565 1.082 1566 1.155 1567 1.323 1568 1.064 1569 0.909 1570 1.053 1571 1.061 1572 1.048 1573 0.931 1574 1.211 1575 1.32 1576 1.387 1577 0.988 1578 1.009 1579 0.923 1580 0.839 1581 0.847 1582 0.801 1583 0.845 1584 0.937 1585 1.191 1586 1.028 1587 1.154 1588 0.891 1589 0.82 1590 1.057 1591 0.973 1592 0.856 1593 0.994 1594 1.292 1595 1.203 1596 0.951 1597 0.859 1598 0.765 1599 0.745 1600 0.794 1601 0.683 1602 0.907 1603 0.894 1604 0.998 1605 1.039 1606 1.018 1607 1.166 1608 0.966 1609 1.073 1610 0.957 1611 1.181 1612 1.116 1613 1.026 1614 0.95 1615 0.682 1616 0.731 1617 0.887 1618 0.816 1619 0.726 1620 0.959 1621 1.03 1622 0.798 1623 0.994 1624 0.862 1625 0.943 1626 1.064 1627 0.897 1628 0.943 1629 0.995 1630 0.888 1631 0.944 1632 0.966 1633 0.864 1634 1.017 1635 0.945 1636 0.843 1637 1.106 1638 1.131 1639 1.142 1640 1.096 1641 0.973 1642 0.834 1643 0.806 1644 0.893 1645 1.129 1646 1.042 1647 1.085 1648 1.147 1649 1.026 1650 0.965 1651 0.821 1652 0.856 1653 0.921 1654 0.918 1655 1.067 1656 0.958 1657 0.842 1658 0.828 1659 0.657 1660 0.897 1661 0.876 1662 1.178 1663 1.223 1664 1.236 1665 1.13 1666 1.035 1667 0.943 1668 1.099 1669 0.992 1670 1.004 1671 0.899 1672 1.059 1673 0.955 1674 0.695 1675 0.747 1676 0.838 1677 0.716 1678 1.03 1679 1.01 1680 0.955 1681 1.236 1682 1.072 1683 1.21 1684 1.067 1685 1.05 1686 1.131 1687 0.824 1688 0.739 1689 0.807 1690 0.923 1691 1.102 1692 1.01 1693 0.919 1694 1.252 1695 1.053 1696 1.025 1697 0.985 1698 0.957 1699 0.852 1700 1.154 1701 1.016 1702 1.259 1703 1.189 1704 1.063 1705 0.992 1706 1.018 1707 1.035 1708 0.757 1709 0.562 1710 0.743 1711 0.752 1712 0.905 1713 0.947 1714 0.904 1715 1.119 1716 1.055 1717 0.913 1718 0.829 1719 0.821 1720 1.11 1721 1.061 1722 1.15 1723 1.289 1724 1.174 1725 1.203 1726 0.916 1727 1.075 1728 1.141 1729 1.173 1730 1.151 1731 1.135 1732 1.218 1733 1.125 1734 1.203 1735 0.827 1736 0.757 1737 0.765 1738 0.987 1739 0.901 1740 0.755 1741 0.561 1742 0.758 1743 0.796 1744 0.78 1745 0.733 1746 0.692 1747 0.913 1748 0.895 1749 1.002 1750 1.566 1751 1.288 1752 1.551 1753 1.369 1754 1.278 1755 1.253 1756 0.97 1757 0.961 1758 0.851 1759 1.104 1760 1.056 1761 1.224 1762 1.124 1763 1.24 1764 1.283 1765 1.089 1766 1.324 1767 1.208 1768 1.043 1769 0.987 1770 0.806 1771 0.655 1772 0.877 1773 0.789 1774 0.79 1775 0.748 1776 0.998 1777 1.007 1778 1.103 1779 0.946 1780 0.898 1781 0.84 1782 0.903 1783 0.95 1784 1.005 1785 1.094 1786 1.024 1787 0.972 1788 0.691 1789 0.703 1790 0.704 1791 1.055 1792 0.899 1793 0.896 1794 1.099 1795 0.935 1796 0.792 1797 0.895 1798 0.944 1799 0.939 1800 0.712 1801 0.858 1802 0.862 1803 0.735 1804 0.868 1805 0.894 1806 0.708 1807 0.912 1808 0.802 1809 0.876 1810 0.844 1811 0.934 1812 0.994 1813 1.032 1814 0.918 1815 0.877 1816 0.886 1817 1.113 1818 1.148 1819 1.223 1820 0.902 1821 0.874 1822 0.892 1823 1.069 1824 0.986 1825 0.88 1826 1.25 1827 1.221 1828 1.374 1829 1.021 1830 1.157 1831 1.196 1832 0.822 1833 0.981 1834 1.308 1835 0.935 1836 0.987 1837 1 1838 0.832 1839 0.745 1840 0.437 1841 0.466 1842 0.734 1843 0.751 1844 0.729 1845 0.829 1846 1.072 1847 0.764 1848 0.804 1849 0.95 1850 1.078 1851 0.968 1852 0.728 1853 0.496 1854 0.866 1855 0.98 1856 0.94 1857 1.169 1858 1.255 1859 1.183 1860 1.105 1861 1.016 1862 1.006 1863 1.113 1864 1.006 1865 0.975 1866 1.097 1867 0.806 1868 1.021 1869 1.114 1870 1.162 1871 1.031 1872 1.175 1873 1.042 1874 1.162 1875 1.253 1876 1.063 1877 1.075 1878 1.321 1879 1.031 1880 1.187 1881 0.907 1882 1.027 1883 0.759 1884 0.998 1885 1.059 1886 1.021 1887 0.945 1888 0.762 1889 0.807 1890 0.818 1891 0.882 1892 0.981 1893 1.044 1894 1.284 1895 1.18 1896 1.362 1897 1.252 1898 1.018 1899 1 1900 1.076 1901 1.098 1902 0.775 1903 0.969 1904 0.927 1905 0.74 1906 0.595 1907 0.693 1908 0.735 1909 0.69 1910 0.75 1911 0.672 1912 0.83 1913 0.769 1914 1.035 1915 1.036 1916 1.023 1917 0.991 1918 1.154 1919 0.929 1920 0.953 1921 1.134 1922 1.312 1923 1.24 1924 1.102 1925 0.978 1926 0.737 1927 0.887 1928 0.792 1929 0.991 1930 0.892 1931 0.821 1932 1.043 1933 0.794 1934 0.898 1935 1.007 1936 1.077 1937 1.081 1938 1.306 1939 1.43 1940 1.008 1941 1.276 1942 1.23 1943 1.201 1944 1.166 1945 1.207 1946 1.226 1947 1.345 1948 1.145 1949 1.153 1950 1.047 1951 0.955 1952 0.872 1953 1.094 1954 1.047 1955 1.076 1956 1.073 1957 1.256 1958 1.166 1959 1.058 1960 0.84 1961 0.571 1962 0.738 1963 0.896 1964 1.05 1965 0.965 1966 0.78 1967 0.834 1968 0.808 1969 0.682 1970 0.631 1971 0.717 1972 0.959 1973 1.027 1974 1.064 1975 1.145 1976 0.989 1977 0.8 1978 0.802 1979 0.922 1980 1 1981 0.958 1982 0.798 1983 0.833 1984 0.785 1985 0.826 1986 0.877 1987 0.88 1988 0.9 1989 0.831 1990 0.897 1991 1.216 1992 1.05 1993 0.973 1994 0.981 1995 0.88 1996 0.712 1997 0.916 1998 0.586 1999 0.778 2000 0.881 2001 0.835 2002 0.888