# europe_finl001 - Ilomantsi Sivakkovaara - 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/3201 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl001 - Ilomantsi Sivakkovaara - 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: Ilomantsi Sivakkovaara # Location: # Country: Finland # Northernmost_Latitude: 62.98 # Southernmost_Latitude: 62.98 # Easternmost_Longitude: 31.3 # Westernmost_Longitude: 31.3 # Elevation: 192 m #-------------------- # Data_Collection # Collection_Name: europe_finl001B # Earliest_Year: 1573 # Most_Recent_Year: 1984 # 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":"5.08370643404","T2":"16.7955422387","M1":"0.0219795061168","M2":"0.412203394227"}} #-------------------- # 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 1573 1.022 1574 0.978 1575 0.92 1576 0.901 1577 1.031 1578 1.014 1579 1.082 1580 0.994 1581 1.258 1582 1.118 1583 1.094 1584 1.013 1585 1.082 1586 1.086 1587 1.007 1588 0.941 1589 0.939 1590 0.922 1591 0.995 1592 0.898 1593 0.872 1594 0.943 1595 1.085 1596 1.055 1597 1.057 1598 1.125 1599 1.191 1600 1.121 1601 0.918 1602 1.009 1603 1.081 1604 1.122 1605 0.96 1606 0.974 1607 0.936 1608 1.012 1609 0.99 1610 1.02 1611 0.971 1612 1.108 1613 1.041 1614 1.038 1615 0.96 1616 1.075 1617 1.075 1618 1.079 1619 1.064 1620 0.916 1621 1.015 1622 0.939 1623 0.883 1624 0.892 1625 0.898 1626 0.951 1627 0.957 1628 0.968 1629 0.968 1630 0.719 1631 0.846 1632 0.901 1633 0.951 1634 0.997 1635 0.845 1636 0.844 1637 0.867 1638 1.046 1639 0.919 1640 0.963 1641 0.796 1642 0.887 1643 0.956 1644 0.828 1645 0.748 1646 0.713 1647 0.861 1648 1.064 1649 1.02 1650 0.91 1651 0.862 1652 0.93 1653 0.985 1654 1.029 1655 1.174 1656 1.121 1657 1.059 1658 1.004 1659 0.988 1660 0.984 1661 1.011 1662 0.98 1663 0.929 1664 0.98 1665 0.966 1666 0.864 1667 0.709 1668 0.711 1669 0.601 1670 0.757 1671 0.808 1672 0.777 1673 0.857 1674 0.827 1675 0.708 1676 0.714 1677 0.708 1678 0.79 1679 0.671 1680 0.681 1681 0.871 1682 0.918 1683 0.739 1684 0.854 1685 0.687 1686 0.955 1687 0.908 1688 0.926 1689 0.97 1690 0.893 1691 1.076 1692 0.987 1693 0.838 1694 0.899 1695 0.669 1696 0.586 1697 0.871 1698 0.993 1699 0.791 1700 1.06 1701 1.312 1702 1.437 1703 1.203 1704 1.216 1705 1.438 1706 1.555 1707 1.453 1708 1.374 1709 1.323 1710 1.294 1711 1.284 1712 1.395 1713 1.222 1714 1.22 1715 1.243 1716 1.241 1717 1.157 1718 1.3 1719 1.166 1720 1.378 1721 1.237 1722 1.18 1723 1.16 1724 1.102 1725 1.194 1726 1.098 1727 1.185 1728 1.169 1729 1.149 1730 1.202 1731 0.938 1732 0.885 1733 0.977 1734 1.162 1735 1.165 1736 1.243 1737 1.056 1738 1.173 1739 1.255 1740 1.075 1741 0.949 1742 1.007 1743 1.245 1744 1.324 1745 1.231 1746 1.261 1747 1.141 1748 1.237 1749 1.104 1750 1.029 1751 1.114 1752 1.554 1753 1.458 1754 1.527 1755 1.561 1756 1.485 1757 1.693 1758 1.5 1759 1.468 1760 1.404 1761 1.487 1762 1.491 1763 1.401 1764 1.294 1765 1.218 1766 0.992 1767 0.95 1768 0.886 1769 0.673 1770 0.606 1771 0.545 1772 0.694 1773 0.735 1774 0.854 1775 1.028 1776 0.86 1777 0.891 1778 1.012 1779 0.981 1780 1.203 1781 0.989 1782 1.107 1783 1.203 1784 1.253 1785 1.128 1786 1.067 1787 1.02 1788 1.209 1789 1.253 1790 0.953 1791 0.978 1792 1.144 1793 1.486 1794 1.321 1795 1.11 1796 1.286 1797 1.243 1798 1.296 1799 1.541 1800 1.264 1801 1.343 1802 1.328 1803 0.856 1804 0.864 1805 0.971 1806 0.621 1807 0.741 1808 0.829 1809 0.951 1810 0.865 1811 0.963 1812 1.07 1813 0.905 1814 0.961 1815 0.856 1816 0.827 1817 0.87 1818 0.939 1819 1.035 1820 0.953 1821 0.896 1822 1.027 1823 0.977 1824 0.912 1825 0.999 1826 1.253 1827 1.23 1828 0.899 1829 1.127 1830 1.016 1831 1.171 1832 0.997 1833 1.076 1834 1.171 1835 0.906 1836 0.902 1837 0.812 1838 0.86 1839 0.96 1840 0.986 1841 0.949 1842 1.109 1843 0.824 1844 0.799 1845 0.994 1846 1.042 1847 0.929 1848 0.986 1849 1.168 1850 1.241 1851 1.275 1852 1.109 1853 1.125 1854 1.262 1855 1.192 1856 1.239 1857 1.096 1858 1.131 1859 1.013 1860 1.003 1861 1.257 1862 0.973 1863 1.191 1864 1.289 1865 1.309 1866 1.198 1867 0.78 1868 1.054 1869 1.178 1870 0.977 1871 0.879 1872 0.83 1873 1.029 1874 0.847 1875 0.889 1876 0.793 1877 0.985 1878 0.925 1879 0.91 1880 0.835 1881 0.663 1882 0.962 1883 0.898 1884 1.053 1885 1.184 1886 1.003 1887 1.18 1888 0.911 1889 0.918 1890 1.18 1891 1.011 1892 0.945 1893 0.91 1894 0.864 1895 0.874 1896 1.03 1897 0.906 1898 0.879 1899 0.669 1900 0.792 1901 0.934 1902 0.703 1903 0.593 1904 0.61 1905 0.547 1906 0.459 1907 0.601 1908 0.563 1909 0.614 1910 0.58 1911 0.525 1912 0.699 1913 0.569 1914 0.782 1915 0.873 1916 0.81 1917 0.846 1918 0.841 1919 0.794 1920 0.786 1921 0.829 1922 0.973 1923 1.015 1924 0.959 1925 0.815 1926 0.537 1927 0.747 1928 0.619 1929 0.734 1930 0.821 1931 0.64 1932 0.649 1933 0.697 1934 0.771 1935 0.629 1936 0.631 1937 0.659 1938 0.813 1939 0.763 1940 0.725 1941 0.803 1942 0.664 1943 0.787 1944 0.801 1945 0.82 1946 0.81 1947 0.99 1948 0.922 1949 0.8 1950 0.816 1951 0.822 1952 0.742 1953 0.836 1954 1.145 1955 0.85 1956 0.695 1957 0.753 1958 0.732 1959 0.742 1960 0.777 1961 0.731 1962 0.75 1963 0.599 1964 0.687 1965 0.61 1966 0.744 1967 0.837 1968 0.744 1969 0.648 1970 0.784 1971 0.72 1972 0.812 1973 0.87 1974 0.909 1975 0.917 1976 0.807 1977 0.689 1978 0.803 1979 0.981 1980 0.888 1981 0.902 1982 0.862 1983 0.877 1984 0.866