# europe_norw015 - Visdalen - 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/2861 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_norw015 - Visdalen - 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: Visdalen # Location: # Country: Norway # Northernmost_Latitude: 61.72 # Southernmost_Latitude: 61.72 # Easternmost_Longitude: 8.47 # Westernmost_Longitude: 8.47 # Elevation: 900 m #-------------------- # Data_Collection # Collection_Name: europe_norw015B # Earliest_Year: 1739 # Most_Recent_Year: 1983 # 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":"3.58916763801","T2":"17.2303302714","M1":"0.0227035832661","M2":"0.388012446721"}} #-------------------- # 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 1739 1.29 1740 1.025 1741 0.841 1742 0.921 1743 0.84 1744 0.669 1745 0.702 1746 0.715 1747 0.642 1748 0.764 1749 0.713 1750 0.753 1751 0.688 1752 0.972 1753 1.201 1754 0.974 1755 1.423 1756 1.468 1757 1.083 1758 1.092 1759 1.526 1760 1.325 1761 1.644 1762 1.432 1763 1.49 1764 1.477 1765 1.053 1766 1.567 1767 1.303 1768 1.036 1769 1.148 1770 0.922 1771 1.181 1772 1.128 1773 1.077 1774 1.322 1775 1.105 1776 1.555 1777 1.099 1778 0.936 1779 0.789 1780 0.917 1781 0.723 1782 0.685 1783 0.398 1784 0.591 1785 0.521 1786 0.464 1787 0.511 1788 0.644 1789 0.67 1790 0.643 1791 0.483 1792 0.629 1793 0.692 1794 0.866 1795 0.721 1796 0.722 1797 0.865 1798 1.183 1799 1.237 1800 0.598 1801 1.043 1802 0.662 1803 0.334 1804 0.65 1805 0.563 1806 0.261 1807 0.506 1808 0.769 1809 0.737 1810 0.565 1811 0.76 1812 0.569 1813 0.492 1814 0.488 1815 0.573 1816 0.918 1817 0.822 1818 0.576 1819 1.083 1820 0.8 1821 0.555 1822 0.837 1823 0.831 1824 0.925 1825 0.877 1826 1.407 1827 1.465 1828 1.784 1829 1.697 1830 1.419 1831 1.781 1832 0.967 1833 1.218 1834 1.418 1835 1.041 1836 0.901 1837 0.872 1838 1.089 1839 1.001 1840 0.803 1841 0.893 1842 1.238 1843 1.435 1844 1.007 1845 1.253 1846 1.452 1847 1.337 1848 0.954 1849 0.846 1850 0.881 1851 0.886 1852 1.228 1853 0.963 1854 1.411 1855 1.342 1856 1.126 1857 1.238 1858 1.483 1859 1.422 1860 1.426 1861 1.471 1862 1.395 1863 1.345 1864 1.304 1865 0.925 1866 1.208 1867 1.012 1868 0.986 1869 0.867 1870 0.912 1871 1.058 1872 0.923 1873 1.175 1874 1.101 1875 1.217 1876 1.002 1877 0.852 1878 0.807 1879 0.983 1880 0.941 1881 0.77 1882 1.085 1883 1.294 1884 1.179 1885 1.099 1886 0.853 1887 1.016 1888 0.873 1889 0.896 1890 0.828 1891 0.889 1892 0.886 1893 1.089 1894 1.233 1895 0.928 1896 1.223 1897 1.258 1898 1.01 1899 1.206 1900 1.109 1901 1.265 1902 0.831 1903 0.752 1904 0.967 1905 0.887 1906 0.774 1907 0.852 1908 0.919 1909 0.86 1910 0.983 1911 0.987 1912 1.128 1913 1.036 1914 1.18 1915 0.863 1916 0.706 1917 0.904 1918 0.799 1919 1.0 1920 0.832 1921 0.722 1922 0.926 1923 0.749 1924 0.715 1925 1.078 1926 0.8 1927 0.771 1928 0.209 1929 0.6 1930 0.764 1931 0.698 1932 0.727 1933 1.001 1934 0.979 1935 0.932 1936 0.945 1937 0.998 1938 0.94 1939 0.906 1940 0.829 1941 1.334 1942 0.986 1943 1.418 1944 1.49 1945 1.255 1946 1.14 1947 1.416 1948 1.133 1949 1.21 1950 1.102 1951 0.883 1952 1.015 1953 1.273 1954 1.44 1955 1.422 1956 1.126 1957 1.239 1958 1.068 1959 1.211 1960 1.108 1961 0.833 1962 0.891 1963 0.965 1964 0.939 1965 0.93 1966 0.887 1967 0.956 1968 0.964 1969 0.934 1970 0.815 1971 0.835 1972 1.218 1973 1.184 1974 0.88 1975 1.142 1976 1.185 1977 0.883 1978 0.97 1979 0.981 1980 0.804 1981 0.864 1982 0.814 1983 0.874