# europe_swed011 - Gallejour Glommerstark - 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/4419 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed011 - Gallejour Glommerstark - 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: Gallejour Glommerstark # Location: # Country: Sweden # Northernmost_Latitude: 65.17 # Southernmost_Latitude: 65.17 # Easternmost_Longitude: 19.47 # Westernmost_Longitude: 19.47 # Elevation: 480 m #-------------------- # Data_Collection # Collection_Name: europe_swed011B # Earliest_Year: 1711 # Most_Recent_Year: 1978 # 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":"7.24499843519","T2":"19.6045301889","M1":"0.0223666816679","M2":"0.218029282255"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1711 0.871 1712 0.729 1713 0.837 1714 0.727 1715 0.908 1716 1.02 1717 1.052 1718 0.915 1719 0.899 1720 0.984 1721 0.805 1722 0.892 1723 1.074 1724 1.132 1725 1.042 1726 0.934 1727 1.0 1728 0.759 1729 1.098 1730 0.869 1731 0.732 1732 1.019 1733 0.743 1734 0.543 1735 0.893 1736 0.968 1737 1.113 1738 1.496 1739 1.272 1740 1.484 1741 0.744 1742 1.247 1743 1.384 1744 0.902 1745 1.15 1746 0.968 1747 0.945 1748 0.951 1749 0.908 1750 0.66 1751 1.001 1752 0.898 1753 0.912 1754 1.163 1755 1.46 1756 1.092 1757 1.416 1758 1.205 1759 1.496 1760 1.409 1761 0.97 1762 1.03 1763 1.109 1764 0.679 1765 0.914 1766 0.836 1767 0.738 1768 0.772 1769 0.747 1770 0.693 1771 1.064 1772 1.017 1773 1.006 1774 0.999 1775 1.053 1776 1.08 1777 1.318 1778 1.357 1779 0.94 1780 1.022 1781 1.219 1782 0.962 1783 1.129 1784 0.885 1785 1.101 1786 0.653 1787 0.418 1788 0.627 1789 0.595 1790 0.164 1791 0.501 1792 0.435 1793 0.575 1794 0.509 1795 0.802 1796 0.722 1797 0.619 1798 0.918 1799 0.968 1800 0.752 1801 1.232 1802 0.959 1803 0.761 1804 1.029 1805 0.573 1806 0.597 1807 0.885 1808 1.131 1809 0.955 1810 0.828 1811 0.874 1812 0.53 1813 0.619 1814 0.884 1815 0.671 1816 1.061 1817 0.907 1818 1.207 1819 1.238 1820 0.743 1821 0.305 1822 0.799 1823 0.827 1824 0.912 1825 1.027 1826 1.68 1827 1.343 1828 1.449 1829 1.605 1830 1.053 1831 1.516 1832 0.755 1833 0.942 1834 0.643 1835 0.829 1836 0.771 1837 0.682 1838 0.942 1839 0.782 1840 0.697 1841 0.95 1842 0.886 1843 0.958 1844 0.732 1845 0.967 1846 0.947 1847 0.903 1848 0.847 1849 0.864 1850 0.899 1851 0.67 1852 0.986 1853 1.043 1854 1.259 1855 1.068 1856 0.788 1857 0.853 1858 0.923 1859 0.577 1860 0.997 1861 1.189 1862 0.916 1863 1.173 1864 1.047 1865 0.759 1866 1.082 1867 0.892 1868 1.171 1869 0.993 1870 1.161 1871 0.819 1872 1.078 1873 1.027 1874 0.726 1875 1.073 1876 1.093 1877 0.971 1878 1.055 1879 1.054 1880 0.656 1881 0.865 1882 0.867 1883 1.153 1884 1.012 1885 0.877 1886 0.981 1887 0.713 1888 1.008 1889 1.245 1890 1.034 1891 0.912 1892 0.834 1893 1.14 1894 0.94 1895 1.193 1896 1.262 1897 1.333 1898 1.464 1899 1.486 1900 1.675 1901 1.709 1902 0.734 1903 1.229 1904 1.032 1905 1.377 1906 1.331 1907 1.223 1908 1.319 1909 1.246 1910 1.193 1911 1.429 1912 1.589 1913 1.509 1914 1.716 1915 1.373 1916 1.541 1917 1.375 1918 0.893 1919 1.354 1920 1.005 1921 0.945 1922 1.254 1923 0.824 1924 0.897 1925 0.937 1926 1.103 1927 1.17 1928 0.423 1929 1.142 1930 1.199 1931 0.492 1932 1.053 1933 1.143 1934 1.057 1935 0.77 1936 1.331 1937 1.127 1938 0.925 1939 1.03 1940 1.439 1941 1.31 1942 0.964 1943 0.997 1944 0.849 1945 0.685 1946 0.755 1947 1.003 1948 0.555 1949 0.672 1950 0.873 1951 0.503 1952 0.797 1953 1.105 1954 1.168 1955 1.023 1956 0.984 1957 0.693 1958 1.032 1959 0.844 1960 1.009 1961 0.661 1962 0.732 1963 0.963 1964 0.795 1965 0.939 1966 1.268 1967 1.054 1968 1.056 1969 1.214 1970 1.096 1971 0.951 1972 0.939 1973 0.77 1974 0.769 1975 0.491 1976 0.868 1977 0.826 1978 1.105