# europe_norw012 - Borealoa River - 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/3971 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_norw012 - Borealoa River - 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: Borealoa River # Location: # Country: Norway # Northernmost_Latitude: 67.62 # Southernmost_Latitude: 67.62 # Easternmost_Longitude: 15.73 # Westernmost_Longitude: 15.73 # Elevation: 160 m #-------------------- # Data_Collection # Collection_Name: europe_norw012B # Earliest_Year: 1621 # 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":"6.0135514712","T2":"18.8006605376","M1":"0.0222842798822","M2":"0.379768679835"}} #-------------------- # 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 1621 1.069 1622 1.222 1623 1.399 1624 1.236 1625 0.976 1626 0.923 1627 0.965 1628 0.887 1629 0.895 1630 0.773 1631 0.842 1632 0.786 1633 0.719 1634 0.814 1635 0.85 1636 0.962 1637 1.124 1638 1.009 1639 0.948 1640 1.048 1641 0.842 1642 0.839 1643 0.854 1644 0.725 1645 0.555 1646 0.744 1647 0.875 1648 1.007 1649 0.973 1650 0.85 1651 0.974 1652 0.642 1653 0.223 1654 0.505 1655 0.749 1656 0.916 1657 0.894 1658 0.938 1659 0.814 1660 0.878 1661 0.653 1662 0.748 1663 0.884 1664 0.946 1665 1.217 1666 1.003 1667 0.791 1668 1.019 1669 0.813 1670 0.747 1671 0.691 1672 0.709 1673 0.925 1674 1.039 1675 0.717 1676 0.665 1677 0.578 1678 0.595 1679 0.558 1680 0.32 1681 0.492 1682 0.709 1683 0.996 1684 0.9 1685 1.135 1686 0.911 1687 0.905 1688 0.991 1689 1.168 1690 0.996 1691 0.87 1692 0.893 1693 1.238 1694 1.125 1695 0.675 1696 0.578 1697 0.778 1698 0.923 1699 1.233 1700 1.196 1701 1.377 1702 1.339 1703 1.347 1704 1.01 1705 0.593 1706 0.874 1707 1.343 1708 1.102 1709 0.755 1710 1.007 1711 0.987 1712 1.126 1713 1.296 1714 0.686 1715 0.974 1716 1.157 1717 1.228 1718 0.912 1719 0.494 1720 0.408 1721 0.462 1722 0.738 1723 0.665 1724 0.833 1725 1.148 1726 1.288 1727 1.326 1728 0.885 1729 1.057 1730 1.21 1731 0.87 1732 0.875 1733 0.851 1734 0.526 1735 0.79 1736 0.885 1737 0.828 1738 1.046 1739 1.017 1740 0.822 1741 0.496 1742 0.837 1743 0.733 1744 0.692 1745 1.085 1746 1.267 1747 1.059 1748 1.103 1749 1.118 1750 1.255 1751 1.114 1752 1.243 1753 1.234 1754 1.187 1755 1.473 1756 1.186 1757 1.213 1758 1.345 1759 1.229 1760 1.253 1761 1.264 1762 1.217 1763 0.986 1764 0.887 1765 1.012 1766 1.065 1767 0.936 1768 0.693 1769 0.574 1770 0.701 1771 0.562 1772 0.619 1773 0.928 1774 1.233 1775 1.003 1776 0.787 1777 0.939 1778 0.99 1779 0.97 1780 0.923 1781 0.683 1782 0.799 1783 0.896 1784 0.895 1785 1.044 1786 0.978 1787 1.333 1788 1.179 1789 1.073 1790 1.06 1791 0.938 1792 1.061 1793 1.29 1794 1.23 1795 1.258 1796 1.205 1797 1.198 1798 1.492 1799 1.383 1800 1.218 1801 1.51 1802 1.333 1803 0.884 1804 1.112 1805 1.113 1806 0.811 1807 0.866 1808 1.078 1809 0.983 1810 0.95 1811 0.814 1812 0.676 1813 0.828 1814 0.954 1815 0.882 1816 1.187 1817 1.318 1818 1.136 1819 1.086 1820 0.807 1821 0.641 1822 0.538 1823 0.859 1824 0.938 1825 0.703 1826 1.073 1827 1.06 1828 1.15 1829 1.307 1830 1.185 1831 1.49 1832 1.283 1833 1.102 1834 0.847 1835 0.476 1836 0.782 1837 0.622 1838 0.8 1839 0.799 1840 0.677 1841 0.896 1842 1.048 1843 1.055 1844 1.269 1845 1.242 1846 1.039 1847 1.179 1848 0.845 1849 0.862 1850 0.685 1851 0.981 1852 1.004 1853 0.894 1854 1.171 1855 0.964 1856 0.88 1857 0.573 1858 1.028 1859 0.949 1860 1.129 1861 1.179 1862 1.1 1863 0.941 1864 0.93 1865 0.849 1866 0.931 1867 1.008 1868 0.76 1869 1.036 1870 1.015 1871 0.895 1872 1.025 1873 1.022 1874 0.611 1875 0.69 1876 1.057 1877 1.062 1878 1.023 1879 1.112 1880 0.897 1881 0.659 1882 1.226 1883 1.335 1884 1.347 1885 0.845 1886 0.815 1887 0.902 1888 0.831 1889 0.758 1890 0.926 1891 0.869 1892 0.533 1893 0.624 1894 0.854 1895 0.953 1896 0.926 1897 1.026 1898 1.004 1899 0.844 1900 0.766 1901 1.089 1902 0.933 1903 0.683 1904 0.704 1905 0.789 1906 0.803 1907 0.933 1908 0.935 1909 0.553 1910 0.932 1911 0.928 1912 1.074 1913 1.048 1914 1.203 1915 1.124 1916 1.197 1917 1.165 1918 1.194 1919 1.304 1920 1.309 1921 0.999 1922 1.065 1923 0.816 1924 0.978 1925 1.089 1926 0.881 1927 1.066 1928 0.804 1929 0.931 1930 1.468 1931 1.212 1932 0.892 1933 0.958 1934 1.1 1935 0.642 1936 0.697 1937 0.834 1938 0.843 1939 0.908 1940 0.935 1941 1.094 1942 0.725 1943 0.805 1944 0.833 1945 1.013 1946 1.036 1947 0.876 1948 1.014 1949 1.226 1950 1.273 1951 1.06 1952 0.677 1953 1.145 1954 1.192 1955 0.826 1956 0.758 1957 1.009 1958 0.856 1959 0.864 1960 1.042 1961 0.936 1962 0.788 1963 0.855 1964 0.915 1965 0.789 1966 0.836 1967 0.687 1968 1.019 1969 1.11 1970 1.189 1971 1.066 1972 1.251 1973 1.221 1974 1.067 1975 0.796 1976 0.856 1977 1.03 1978 0.965 1979 1.105 1980 1.226 1981 0.89 1982 0.947 1983 1.149 1984 1.245 1985 1.639 1986 0.98 1987 1.174 1988 1.081 1989 0.795 1990 1.226 1991 1.043 1992 0.976 1993 1.277 1994 1.147 1995 0.816 1996 0.89 1997 1.002