# europe_swed302 - Naemdoe Stockholm Archipelago - 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/3869 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed302 - Naemdoe Stockholm Archipelago - 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: Naemdoe Stockholm Archipelago # Location: # Country: Sweden # Northernmost_Latitude: 59.2 # Southernmost_Latitude: 59.2 # Easternmost_Longitude: 18.7 # Westernmost_Longitude: 18.7 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: europe_swed302B # Earliest_Year: 1651 # Most_Recent_Year: 1995 # 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":"3.89299826352","T2":"14.3756168409","M1":"0.0230944355097","M2":"0.547534614808"}} #-------------------- # 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 1651 1.304 1652 0.832 1653 1.171 1654 0.751 1655 1.111 1656 1.485 1657 0.611 1658 1.122 1659 0.619 1660 1.017 1661 0.633 1662 1.077 1663 1.279 1664 1.064 1665 0.935 1666 1.115 1667 0.547 1668 0.799 1669 0.651 1670 0.58 1671 0.991 1672 1.051 1673 1.082 1674 0.765 1675 0.834 1676 0.601 1677 0.448 1678 0.78 1679 0.41 1680 0.726 1681 0.615 1682 0.798 1683 1.357 1684 1.067 1685 1.322 1686 1.39 1687 1.075 1688 0.653 1689 0.769 1690 0.558 1691 0.671 1692 0.772 1693 0.39 1694 0.711 1695 0.401 1696 0.643 1697 0.505 1698 0.744 1699 0.63 1700 0.836 1701 0.847 1702 0.738 1703 0.65 1704 0.75 1705 0.838 1706 1.001 1707 0.946 1708 1.365 1709 0.897 1710 0.843 1711 1.061 1712 1.195 1713 1.642 1714 1.025 1715 1.172 1716 0.964 1717 0.883 1718 1.069 1719 0.782 1720 0.697 1721 0.692 1722 0.861 1723 0.876 1724 0.932 1725 1.373 1726 0.825 1727 1.026 1728 1.038 1729 0.915 1730 1.074 1731 1.237 1732 1.203 1733 1.249 1734 1.377 1735 1.591 1736 1.226 1737 1.179 1738 1.419 1739 1.063 1740 0.909 1741 0.879 1742 1.507 1743 0.965 1744 1.338 1745 1.217 1746 1.126 1747 0.817 1748 0.813 1749 0.785 1750 1.171 1751 1.222 1752 1.302 1753 1.555 1754 1.317 1755 1.285 1756 1.433 1757 1.011 1758 0.753 1759 0.727 1760 0.687 1761 0.941 1762 0.975 1763 0.861 1764 1.03 1765 1.131 1766 1.187 1767 1.394 1768 0.977 1769 1.412 1770 1.191 1771 1.1 1772 1.279 1773 1.274 1774 1.005 1775 0.746 1776 1.066 1777 0.984 1778 1.324 1779 1.364 1780 0.986 1781 0.747 1782 0.865 1783 0.571 1784 0.971 1785 0.959 1786 0.853 1787 0.954 1788 0.661 1789 0.602 1790 0.82 1791 1.04 1792 1.034 1793 1.18 1794 1.176 1795 1.02 1796 1.094 1797 1.077 1798 0.74 1799 1.21 1800 1.246 1801 0.971 1802 1.077 1803 0.73 1804 0.807 1805 0.924 1806 0.966 1807 0.893 1808 0.817 1809 0.993 1810 0.922 1811 0.757 1812 0.762 1813 0.943 1814 0.835 1815 0.902 1816 0.754 1817 1.258 1818 0.568 1819 0.68 1820 0.999 1821 1.235 1822 0.931 1823 1.043 1824 1.042 1825 1.211 1826 0.746 1827 0.837 1828 0.958 1829 0.686 1830 1.001 1831 0.763 1832 1.041 1833 0.889 1834 1.405 1835 1.166 1836 1.009 1837 0.948 1838 0.673 1839 0.995 1840 1.111 1841 1.107 1842 1.183 1843 0.896 1844 1.067 1845 0.841 1846 0.73 1847 0.761 1848 0.752 1849 0.914 1850 0.897 1851 0.963 1852 0.978 1853 0.591 1854 0.902 1855 0.717 1856 0.978 1857 1.028 1858 0.714 1859 0.595 1860 0.937 1861 0.71 1862 0.922 1863 0.855 1864 0.998 1865 1.275 1866 1.497 1867 1.177 1868 1.145 1869 1.131 1870 0.727 1871 0.966 1872 0.903 1873 0.812 1874 0.928 1875 0.99 1876 0.652 1877 0.806 1878 0.937 1879 0.87 1880 0.788 1881 0.757 1882 1.095 1883 0.938 1884 1.073 1885 0.964 1886 1.019 1887 0.966 1888 0.857 1889 1.004 1890 1.317 1891 1.035 1892 1.079 1893 0.789 1894 1.316 1895 0.931 1896 0.971 1897 1.289 1898 1.252 1899 0.811 1900 1.084 1901 1.098 1902 0.911 1903 0.989 1904 1.155 1905 1.036 1906 1.297 1907 1.332 1908 1.37 1909 1.45 1910 1.378 1911 0.991 1912 1.056 1913 1.062 1914 0.936 1915 1.01 1916 0.979 1917 0.738 1918 0.76 1919 0.991 1920 0.968 1921 1.042 1922 0.965 1923 1.093 1924 1.117 1925 1.076 1926 1.065 1927 1.103 1928 1.178 1929 1.207 1930 1.084 1931 0.983 1932 1.266 1933 0.911 1934 1.0 1935 0.843 1936 1.033 1937 0.882 1938 1.167 1939 0.947 1940 0.407 1941 0.973 1942 1.136 1943 0.781 1944 1.037 1945 1.26 1946 1.286 1947 1.095 1948 1.063 1949 1.028 1950 0.686 1951 0.641 1952 0.868 1953 1.058 1954 0.976 1955 0.683 1956 0.826 1957 1.292 1958 1.142 1959 0.51 1960 0.878 1961 1.083 1962 0.887 1963 1.174 1964 1.002 1965 1.013 1966 0.962 1967 0.947 1968 0.862 1969 0.618 1970 0.722 1971 0.865 1972 1.024 1973 0.947 1974 0.957 1975 1.021 1976 0.783 1977 0.806 1978 1.052 1979 1.097 1980 1.101 1981 1.27 1982 0.955 1983 0.963 1984 1.04 1985 0.892 1986 0.93 1987 1.098 1988 1.138 1989 1.066 1990 0.936 1991 1.38 1992 0.827 1993 0.908 1994 1.036 1995 0.823