# europe_finl005 - Lieksa Koivujoki - 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/3206 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl005 - Lieksa Koivujoki - 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: Lieksa Koivujoki # Location: # Country: Finland # Northernmost_Latitude: 63.68 # Southernmost_Latitude: 63.68 # Easternmost_Longitude: 29.88 # Westernmost_Longitude: 29.88 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: europe_finl005B # Earliest_Year: 1642 # Most_Recent_Year: 1984 # 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":"4.20101017932","T2":"13.7221900611","M1":"0.0228766440177","M2":"0.537011690937"}} #-------------------- # 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 1642 0.91 1643 0.855 1644 0.783 1645 0.622 1646 0.713 1647 0.962 1648 1.445 1649 1.29 1650 1.103 1651 1.11 1652 0.87 1653 0.869 1654 1.035 1655 1.647 1656 1.245 1657 1.166 1658 1.166 1659 0.949 1660 0.955 1661 1.11 1662 1.134 1663 1.07 1664 1.189 1665 1.134 1666 1.134 1667 1.171 1668 1.264 1669 0.977 1670 1.017 1671 1.299 1672 0.921 1673 1.194 1674 1.318 1675 0.986 1676 0.957 1677 0.902 1678 0.958 1679 0.982 1680 0.924 1681 1.425 1682 1.303 1683 1.337 1684 1.666 1685 1.544 1686 1.281 1687 0.962 1688 0.976 1689 0.882 1690 0.952 1691 1.028 1692 0.823 1693 0.854 1694 1.054 1695 0.918 1696 0.594 1697 0.962 1698 1.124 1699 1.075 1700 1.222 1701 1.304 1702 1.307 1703 1.08 1704 0.8 1705 0.675 1706 0.654 1707 0.503 1708 0.489 1709 0.354 1710 0.611 1711 0.598 1712 0.435 1713 0.385 1714 0.543 1715 0.721 1716 0.625 1717 0.792 1718 0.892 1719 0.821 1720 1.082 1721 1.088 1722 1.092 1723 1.211 1724 1.11 1725 1.209 1726 1.312 1727 1.44 1728 1.241 1729 1.075 1730 0.998 1731 0.784 1732 0.787 1733 0.853 1734 0.918 1735 0.961 1736 1.118 1737 0.929 1738 1.028 1739 0.844 1740 0.594 1741 0.259 1742 0.139 1743 0.356 1744 0.353 1745 0.365 1746 0.531 1747 0.635 1748 0.691 1749 0.646 1750 0.855 1751 0.923 1752 1.231 1753 1.322 1754 1.447 1755 1.621 1756 1.617 1757 1.922 1758 1.625 1759 1.427 1760 1.312 1761 1.261 1762 1.368 1763 1.262 1764 1.163 1765 1.164 1766 0.996 1767 0.842 1768 0.879 1769 0.84 1770 0.67 1771 0.59 1772 0.641 1773 0.858 1774 1.024 1775 1.185 1776 1.061 1777 1.008 1778 1.213 1779 1.184 1780 1.465 1781 1.245 1782 1.383 1783 1.345 1784 1.177 1785 1.168 1786 0.97 1787 0.886 1788 1.032 1789 0.986 1790 0.439 1791 0.439 1792 0.443 1793 0.68 1794 0.716 1795 0.633 1796 0.731 1797 0.771 1798 0.908 1799 1.034 1800 0.852 1801 0.995 1802 1.053 1803 0.955 1804 1.108 1805 1.084 1806 0.796 1807 0.833 1808 0.815 1809 0.986 1810 0.838 1811 1.038 1812 0.907 1813 0.795 1814 1.097 1815 0.864 1816 0.826 1817 0.862 1818 0.917 1819 0.953 1820 0.832 1821 0.819 1822 0.711 1823 0.635 1824 0.874 1825 1.021 1826 1.136 1827 1.038 1828 0.784 1829 0.889 1830 0.862 1831 0.869 1832 0.806 1833 0.927 1834 1.092 1835 0.943 1836 0.846 1837 0.73 1838 0.97 1839 1.032 1840 0.926 1841 1.097 1842 1.414 1843 1.159 1844 0.999 1845 1.0 1846 0.929 1847 0.869 1848 1.141 1849 1.136 1850 1.286 1851 1.386 1852 1.247 1853 0.937 1854 0.977 1855 0.905 1856 0.881 1857 0.813 1858 1.052 1859 0.95 1860 0.967 1861 1.104 1862 1.011 1863 1.29 1864 1.149 1865 1.246 1866 1.16 1867 0.894 1868 1.136 1869 1.142 1870 0.852 1871 0.809 1872 0.76 1873 0.731 1874 0.648 1875 0.666 1876 0.581 1877 0.874 1878 0.763 1879 0.732 1880 0.585 1881 0.693 1882 0.956 1883 0.818 1884 0.992 1885 1.03 1886 0.919 1887 0.801 1888 0.784 1889 0.846 1890 0.958 1891 0.887 1892 0.88 1893 0.904 1894 0.914 1895 0.97 1896 1.031 1897 1.017 1898 1.132 1899 1.102 1900 1.18 1901 1.339 1902 0.989 1903 0.963 1904 1.049 1905 0.835 1906 0.732 1907 0.839 1908 1.127 1909 1.075 1910 1.067 1911 1.113 1912 1.352 1913 1.265 1914 1.515 1915 1.735 1916 1.486 1917 1.322 1918 1.105 1919 1.048 1920 1.266 1921 1.624 1922 1.841 1923 1.775 1924 1.718 1925 1.43 1926 1.073 1927 1.235 1928 1.16 1929 1.227 1930 1.191 1931 0.853 1932 1.075 1933 0.734 1934 0.894 1935 0.696 1936 0.941 1937 0.88 1938 0.819 1939 1.042 1940 1.078 1941 1.073 1942 1.009 1943 1.179 1944 1.279 1945 1.238 1946 1.197 1947 1.31 1948 1.328 1949 1.025 1950 0.978 1951 0.893 1952 0.799 1953 1.091 1954 1.276 1955 0.873 1956 0.568 1957 0.753 1958 0.687 1959 0.707 1960 0.66 1961 0.754 1962 0.775 1963 0.634 1964 0.763 1965 0.653 1966 0.776 1967 0.951 1968 0.826 1969 0.643 1970 0.602 1971 0.658 1972 0.667 1973 0.825 1974 0.892 1975 0.75 1976 0.714 1977 0.595 1978 0.623 1979 0.739 1980 0.593 1981 0.762 1982 0.695 1983 0.782 1984 0.732