# europe_swed309 - Aneby, Smaland (Bredesta/Lysing) - 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/3866 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed309 - Aneby, Smaland (Bredesta/Lysing) - 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: Aneby, Smaland (Bredesta/Lysing) # Location: # Country: Sweden # Northernmost_Latitude: 57.9 # Southernmost_Latitude: 57.9 # Easternmost_Longitude: 14.9 # Westernmost_Longitude: 14.9 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: europe_swed309B # Earliest_Year: 1784 # Most_Recent_Year: 2003 # 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":"4.16533431811","T2":"15.1603842173","M1":"0.0229522118943","M2":"0.524778876994"}} #-------------------- # 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 1784 1.028 1785 1.024 1786 0.972 1787 1.15 1788 0.966 1789 0.941 1790 1.113 1791 1.383 1792 1.083 1793 1.046 1794 1.174 1795 0.806 1796 0.947 1797 1.084 1798 1.13 1799 1.023 1800 1.085 1801 0.916 1802 0.655 1803 0.957 1804 0.873 1805 0.969 1806 0.87 1807 0.885 1808 0.892 1809 0.785 1810 0.96 1811 0.861 1812 0.878 1813 0.989 1814 0.824 1815 0.923 1816 0.811 1817 1.118 1818 0.898 1819 0.991 1820 0.984 1821 1.057 1822 0.988 1823 1.042 1824 1.17 1825 1.0 1826 0.923 1827 0.906 1828 1.048 1829 0.77 1830 1.11 1831 1.351 1832 1.161 1833 0.872 1834 1.129 1835 1.009 1836 0.971 1837 1.043 1838 0.873 1839 0.843 1840 0.944 1841 0.934 1842 1.054 1843 0.951 1844 1.021 1845 1.11 1846 1.408 1847 0.878 1848 1.066 1849 1.206 1850 1.054 1851 1.026 1852 0.781 1853 0.594 1854 0.748 1855 1.0 1856 1.122 1857 1.144 1858 1.15 1859 0.938 1860 0.938 1861 1.046 1862 0.995 1863 1.006 1864 0.785 1865 0.993 1866 1.181 1867 0.889 1868 1.021 1869 0.81 1870 0.938 1871 1.096 1872 1.095 1873 1.015 1874 0.904 1875 0.985 1876 0.951 1877 0.939 1878 0.962 1879 0.804 1880 0.993 1881 0.761 1882 1.225 1883 0.856 1884 0.959 1885 0.906 1886 0.789 1887 0.679 1888 0.662 1889 0.7 1890 0.925 1891 0.858 1892 0.954 1893 0.946 1894 1.051 1895 0.876 1896 0.857 1897 0.842 1898 0.946 1899 0.781 1900 0.724 1901 0.786 1902 0.699 1903 1.008 1904 1.057 1905 0.921 1906 0.91 1907 1.274 1908 1.121 1909 0.902 1910 0.912 1911 0.694 1912 0.718 1913 0.592 1914 0.683 1915 0.783 1916 0.824 1917 0.776 1918 0.973 1919 1.006 1920 0.944 1921 1.07 1922 1.133 1923 1.279 1924 1.308 1925 1.27 1926 1.049 1927 1.062 1928 0.984 1929 1.006 1930 0.999 1931 0.939 1932 0.919 1933 0.774 1934 0.826 1935 0.851 1936 0.937 1937 0.985 1938 1.182 1939 1.471 1940 0.788 1941 0.84 1942 0.88 1943 1.077 1944 0.989 1945 1.463 1946 1.435 1947 0.903 1948 0.845 1949 1.083 1950 1.372 1951 1.165 1952 0.967 1953 1.429 1954 1.001 1955 1.02 1956 0.948 1957 1.625 1958 1.256 1959 1.08 1960 0.941 1961 0.923 1962 0.652 1963 0.87 1964 1.013 1965 1.113 1966 0.909 1967 1.371 1968 0.987 1969 0.692 1970 0.712 1971 0.833 1972 1.067 1973 0.853 1974 0.841 1975 1.109 1976 0.775 1977 0.765 1978 0.989 1979 0.836 1980 0.812 1981 0.831 1982 0.696 1983 0.911 1984 1.278 1985 0.99 1986 1.134 1987 1.114 1988 1.226 1989 1.189 1990 1.444 1991 1.453 1992 1.055 1993 0.952 1994 0.814 1995 0.836 1996 0.638 1997 0.839 1998 0.721 1999 1.023 2000 1.08 2001 1.024 2002 1.046 2003 0.972