# europe_finl054 - Tutkimusasema - 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/3974 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl054 - Tutkimusasema - 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: Tutkimusasema # Location: # Country: Finland # Northernmost_Latitude: 67.22 # Southernmost_Latitude: 67.22 # Easternmost_Longitude: 26.82 # Westernmost_Longitude: 26.82 # Elevation: 180 m #-------------------- # Data_Collection # Collection_Name: europe_finl054B # Earliest_Year: 1550 # Most_Recent_Year: 2000 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.73050155566","T2":"17.0123878642","M1":"0.0227508135725","M2":"0.422495185754"}} #-------------------- # 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 1550 0.908 1551 0.911 1552 1.011 1553 1.1 1554 1.057 1555 1.087 1556 1.132 1557 1.072 1558 1.122 1559 1.096 1560 1.286 1561 0.918 1562 1.096 1563 0.964 1564 0.969 1565 0.937 1566 1.04 1567 0.937 1568 0.909 1569 0.949 1570 0.819 1571 0.631 1572 0.785 1573 0.916 1574 0.806 1575 1.097 1576 1.038 1577 0.997 1578 0.842 1579 0.977 1580 0.788 1581 0.831 1582 0.963 1583 1.145 1584 1.018 1585 1.292 1586 1.24 1587 0.987 1588 1.101 1589 0.931 1590 0.87 1591 0.839 1592 0.804 1593 0.67 1594 0.905 1595 0.828 1596 0.831 1597 1.021 1598 1.186 1599 1.283 1600 0.902 1601 0.524 1602 0.822 1603 0.711 1604 0.8 1605 0.512 1606 0.825 1607 0.76 1608 0.821 1609 0.66 1610 0.616 1611 0.863 1612 0.879 1613 0.695 1614 0.75 1615 0.738 1616 0.892 1617 1.05 1618 1.014 1619 0.977 1620 0.763 1621 1.083 1622 0.748 1623 0.819 1624 1.032 1625 1.155 1626 1.305 1627 1.236 1628 1.413 1629 1.449 1630 1.091 1631 1.245 1632 1.334 1633 1.019 1634 1.364 1635 1.329 1636 1.464 1637 1.303 1638 1.044 1639 1.046 1640 1.162 1641 0.735 1642 0.665 1643 0.881 1644 0.809 1645 0.938 1646 1.148 1647 1.338 1648 1.428 1649 1.214 1650 0.963 1651 0.929 1652 0.999 1653 1.127 1654 1.137 1655 1.664 1656 1.441 1657 1.437 1658 1.526 1659 1.341 1660 1.189 1661 0.937 1662 1.05 1663 0.972 1664 1.001 1665 1.048 1666 0.749 1667 0.874 1668 0.981 1669 0.826 1670 0.942 1671 0.956 1672 0.965 1673 1.047 1674 0.927 1675 0.782 1676 0.8 1677 0.774 1678 0.761 1679 0.605 1680 0.281 1681 0.563 1682 0.592 1683 0.482 1684 0.618 1685 0.582 1686 0.707 1687 0.575 1688 0.576 1689 0.831 1690 1.028 1691 0.931 1692 0.982 1693 0.892 1694 0.841 1695 0.545 1696 0.214 1697 0.506 1698 0.694 1699 0.751 1700 0.896 1701 0.868 1702 0.884 1703 0.812 1704 1.244 1705 0.978 1706 0.951 1707 1.046 1708 0.91 1709 0.728 1710 0.978 1711 1.102 1712 1.03 1713 0.853 1714 1.009 1715 1.268 1716 1.026 1717 0.945 1718 1.02 1719 0.816 1720 1.037 1721 0.869 1722 1.097 1723 1.089 1724 0.971 1725 1.134 1726 0.946 1727 1.166 1728 1.138 1729 1.52 1730 1.466 1731 1.178 1732 1.189 1733 1.128 1734 0.661 1735 0.836 1736 1.124 1737 0.847 1738 1.127 1739 1.286 1740 0.961 1741 1.004 1742 1.13 1743 1.189 1744 1.202 1745 0.872 1746 1.048 1747 0.815 1748 0.938 1749 0.881 1750 1.048 1751 1.083 1752 1.319 1753 1.317 1754 1.571 1755 1.463 1756 1.431 1757 1.44 1758 1.354 1759 1.427 1760 1.64 1761 1.519 1762 1.447 1763 1.163 1764 1.197 1765 1.135 1766 1.173 1767 0.898 1768 0.938 1769 0.82 1770 0.923 1771 0.828 1772 0.984 1773 0.927 1774 1.004 1775 1.106 1776 0.965 1777 1.147 1778 1.094 1779 1.051 1780 0.971 1781 0.769 1782 0.856 1783 0.792 1784 0.817 1785 0.942 1786 0.779 1787 0.895 1788 0.957 1789 1.051 1790 0.623 1791 0.825 1792 0.784 1793 0.605 1794 0.553 1795 0.549 1796 0.64 1797 0.779 1798 0.893 1799 0.999 1800 0.788 1801 0.835 1802 0.845 1803 0.768 1804 0.895 1805 1.018 1806 0.561 1807 1.059 1808 1.009 1809 0.922 1810 0.9 1811 0.819 1812 0.768 1813 0.527 1814 0.824 1815 0.896 1816 0.901 1817 1.065 1818 1.166 1819 1.109 1820 0.97 1821 0.831 1822 0.979 1823 1.153 1824 1.172 1825 1.053 1826 1.367 1827 1.475 1828 1.139 1829 1.265 1830 1.054 1831 1.057 1832 0.914 1833 0.916 1834 0.912 1835 0.664 1836 0.773 1837 0.294 1838 0.711 1839 0.565 1840 0.798 1841 0.652 1842 0.621 1843 0.821 1844 0.753 1845 0.845 1846 0.749 1847 0.732 1848 0.803 1849 1.017 1850 0.935 1851 1.093 1852 1.244 1853 1.116 1854 1.188 1855 1.105 1856 0.813 1857 0.838 1858 0.921 1859 0.871 1860 0.827 1861 0.929 1862 0.921 1863 0.947 1864 1.06 1865 1.244 1866 1.094 1867 1.238 1868 1.469 1869 1.234 1870 1.322 1871 1.061 1872 0.986 1873 0.943 1874 0.86 1875 0.984 1876 1.134 1877 0.982 1878 0.904 1879 0.817 1880 0.617 1881 0.693 1882 1.014 1883 0.909 1884 0.907 1885 1.007 1886 1.058 1887 1.041 1888 0.827 1889 1.027 1890 1.259 1891 1.077 1892 0.944 1893 0.888 1894 1.006 1895 1.145 1896 1.215 1897 1.015 1898 1.327 1899 1.037 1900 0.827 1901 1.074 1902 0.813 1903 0.714 1904 0.903 1905 0.984 1906 1.005 1907 0.857 1908 0.908 1909 0.834 1910 0.678 1911 0.717 1912 0.924 1913 0.812 1914 0.893 1915 0.989 1916 1.047 1917 0.885 1918 0.912 1919 0.882 1920 1.001 1921 1.255 1922 1.336 1923 1.394 1924 1.213 1925 1.3 1926 0.993 1927 0.948 1928 0.836 1929 0.794 1930 0.99 1931 0.857 1932 0.938 1933 0.816 1934 1.251 1935 1.086 1936 0.886 1937 1.157 1938 0.94 1939 0.953 1940 0.815 1941 1.184 1942 0.968 1943 0.977 1944 1.016 1945 1.034 1946 0.928 1947 1.242 1948 1.267 1949 1.059 1950 1.077 1951 0.908 1952 0.955 1953 1.204 1954 1.278 1955 1.151 1956 0.951 1957 1.236 1958 0.996 1959 1.003 1960 1.189 1961 0.904 1962 1.017 1963 0.788 1964 1.256 1965 0.812 1966 0.958 1967 1.01 1968 1.03 1969 0.802 1970 0.916 1971 0.816 1972 1.069 1973 1.208 1974 0.983 1975 1.127 1976 1.223 1977 0.945 1978 0.834 1979 1.136 1980 0.913 1981 0.859 1982 0.959 1983 1.052 1984 0.896 1985 0.91 1986 0.866 1987 0.843 1988 0.975 1989 1.095 1990 1.033 1991 1.047 1992 0.887 1993 1.065 1994 1.077 1995 0.778 1996 0.81 1997 0.784 1998 0.979 1999 0.94 2000 1.223