# europe_swed327 - Nonshaugen - 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/6136 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed327 - Nonshaugen - 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: Nonshaugen # Location: # Country: Sweden # Northernmost_Latitude: 64.45 # Southernmost_Latitude: 64.45 # Easternmost_Longitude: 13.97 # Westernmost_Longitude: 13.97 # Elevation: 470 m #-------------------- # Data_Collection # Collection_Name: europe_swed327B # Earliest_Year: 1647 # Most_Recent_Year: 2000 # 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":"4.39461136223","T2":"16.2559758129","M1":"0.0225588047258","M2":"0.429747951503"}} #-------------------- # 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 1647 1.279 1648 0.963 1649 0.914 1650 0.84 1651 0.849 1652 1.078 1653 0.976 1654 1.055 1655 1.245 1656 1.227 1657 1.341 1658 1.233 1659 0.786 1660 0.795 1661 0.74 1662 0.901 1663 0.771 1664 0.974 1665 0.907 1666 0.947 1667 1.106 1668 1.117 1669 1.179 1670 1.143 1671 0.991 1672 0.963 1673 1.111 1674 1.099 1675 1.136 1676 0.816 1677 0.921 1678 1.278 1679 1.03 1680 1.123 1681 1.367 1682 1.066 1683 1.289 1684 1.163 1685 1.049 1686 1.115 1687 1.138 1688 0.735 1689 1.153 1690 1.024 1691 1.163 1692 1.13 1693 0.978 1694 1.154 1695 0.879 1696 0.863 1697 1.003 1698 0.789 1699 0.98 1700 0.994 1701 1.204 1702 1.139 1703 1.264 1704 1.051 1705 0.755 1706 1.046 1707 0.516 1708 0.319 1709 0.261 1710 0.438 1711 0.625 1712 0.528 1713 0.519 1714 0.655 1715 0.813 1716 0.834 1717 0.881 1718 0.879 1719 0.963 1720 1.008 1721 0.898 1722 0.916 1723 0.756 1724 0.8 1725 1.027 1726 1.002 1727 1.017 1728 0.945 1729 0.858 1730 0.919 1731 0.92 1732 0.972 1733 0.83 1734 0.979 1735 1.192 1736 1.129 1737 0.935 1738 1.19 1739 1.022 1740 0.798 1741 0.355 1742 0.921 1743 0.945 1744 1.078 1745 1.101 1746 1.14 1747 1.081 1748 0.97 1749 0.726 1750 1.077 1751 0.936 1752 1.377 1753 1.215 1754 1.212 1755 1.226 1756 1.03 1757 1.119 1758 0.867 1759 1.037 1760 1.228 1761 1.261 1762 1.427 1763 1.167 1764 1.076 1765 0.874 1766 1.214 1767 1.123 1768 0.965 1769 1.073 1770 1.107 1771 1.062 1772 0.946 1773 0.894 1774 1.004 1775 1.104 1776 1.161 1777 1.059 1778 1.101 1779 1.129 1780 1.088 1781 0.922 1782 1.061 1783 1.005 1784 0.963 1785 0.96 1786 0.733 1787 0.981 1788 1.033 1789 0.973 1790 0.937 1791 0.835 1792 0.927 1793 0.824 1794 0.931 1795 0.735 1796 0.924 1797 0.844 1798 1.346 1799 1.177 1800 0.753 1801 0.942 1802 0.863 1803 0.626 1804 0.797 1805 0.971 1806 0.66 1807 1.123 1808 1.328 1809 1.435 1810 1.113 1811 1.196 1812 1.106 1813 0.948 1814 0.989 1815 1.13 1816 1.183 1817 1.211 1818 1.059 1819 1.321 1820 0.902 1821 0.832 1822 1.234 1823 1.317 1824 1.113 1825 1.096 1826 1.444 1827 1.275 1828 1.346 1829 1.064 1830 0.803 1831 0.952 1832 0.932 1833 1.058 1834 1.026 1835 1.0 1836 1.164 1837 1.126 1838 1.15 1839 0.964 1840 1.037 1841 1.218 1842 1.409 1843 1.251 1844 0.859 1845 1.011 1846 0.9 1847 1.125 1848 0.949 1849 0.621 1850 0.698 1851 0.889 1852 1.051 1853 0.75 1854 1.057 1855 0.918 1856 0.757 1857 0.689 1858 1.232 1859 1.157 1860 1.094 1861 0.861 1862 0.977 1863 0.725 1864 0.676 1865 0.386 1866 0.802 1867 0.926 1868 0.897 1869 0.801 1870 0.801 1871 0.858 1872 1.001 1873 0.876 1874 0.76 1875 0.944 1876 0.983 1877 1.008 1878 0.983 1879 1.097 1880 1.039 1881 0.932 1882 1.25 1883 1.196 1884 1.469 1885 1.319 1886 1.179 1887 1.122 1888 0.962 1889 1.275 1890 1.358 1891 1.234 1892 0.979 1893 1.155 1894 0.562 1895 0.636 1896 0.746 1897 0.842 1898 0.862 1899 0.789 1900 0.702 1901 0.818 1902 0.849 1903 0.569 1904 0.567 1905 0.691 1906 0.865 1907 0.794 1908 0.607 1909 0.792 1910 0.741 1911 0.708 1912 0.905 1913 0.915 1914 1.023 1915 1.059 1916 1.025 1917 0.907 1918 0.906 1919 0.986 1920 0.609 1921 0.603 1922 0.773 1923 0.47 1924 0.793 1925 0.904 1926 0.852 1927 0.864 1928 0.428 1929 0.691 1930 0.907 1931 0.839 1932 0.638 1933 0.782 1934 1.033 1935 0.976 1936 0.955 1937 0.812 1938 0.816 1939 1.022 1940 0.85 1941 1.039 1942 0.677 1943 1.02 1944 1.218 1945 1.023 1946 1.026 1947 1.14 1948 1.098 1949 1.162 1950 1.181 1951 1.032 1952 0.881 1953 1.212 1954 1.243 1955 1.076 1956 0.963 1957 0.719 1958 0.95 1959 1.251 1960 1.162 1961 0.947 1962 0.902 1963 0.994 1964 1.034 1965 1.098 1966 0.966 1967 0.905 1968 1.089 1969 1.018 1970 1.42 1971 1.374 1972 1.285 1973 1.423 1974 0.998 1975 1.435 1976 1.301 1977 1.042 1978 1.104 1979 1.034 1980 1.071 1981 0.767 1982 0.913 1983 1.245 1984 1.033 1985 1.235 1986 1.097 1987 0.988 1988 1.051 1989 1.018 1990 1.115 1991 1.118 1992 1.047 1993 1.054 1994 1.026 1995 0.977 1996 0.688 1997 1.036 1998 0.882 1999 1.002 2000 1.04