# europe_swed310 - Bettna, Soedermanland - 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: # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed310 - Bettna, Soedermanland - 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. #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Site_Information # Site_Name: Bettna, Soedermanland # Location: # Country: Sweden # Northernmost_Latitude: 58.9 # Southernmost_Latitude: 58.9 # Easternmost_Longitude: 16.63 # Westernmost_Longitude: 16.63 # Elevation: 30 m #-------------------- # Data_Collection # Collection_Name: europe_swed310B # Earliest_Year: 1858 # Most_Recent_Year: 1997 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.63891055811"}{"T2":"17.6994304956"}{"M1":"0.0227007497604"}{"M2":"0.457400010758"} #-------------------- # 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 1858 0.84 1859 0.74 1860 0.86 1861 0.907 1862 1.097 1863 1.101 1864 0.807 1865 1.163 1866 1.454 1867 1.087 1868 1.144 1869 0.822 1870 0.904 1871 0.965 1872 1.174 1873 1.026 1874 1.092 1875 0.932 1876 0.841 1877 0.931 1878 1.319 1879 0.808 1880 1.068 1881 0.684 1882 1.034 1883 0.692 1884 1.062 1885 0.766 1886 0.944 1887 0.987 1888 1.005 1889 1.131 1890 1.302 1891 1.363 1892 1.305 1893 1.263 1894 1.521 1895 1.103 1896 1.171 1897 1.241 1898 1.228 1899 0.927 1900 0.859 1901 0.85 1902 0.59 1903 0.74 1904 0.869 1905 0.918 1906 1.02 1907 0.914 1908 0.755 1909 0.771 1910 1.148 1911 1.096 1912 1.167 1913 0.999 1914 0.855 1915 1.029 1916 0.822 1917 0.64 1918 0.864 1919 1.251 1920 0.98 1921 0.973 1922 1.236 1923 1.164 1924 1.153 1925 1.237 1926 0.936 1927 1.01 1928 0.985 1929 0.911 1930 0.912 1931 0.757 1932 1.069 1933 0.817 1934 1.098 1935 1.107 1936 1.298 1937 1.056 1938 1.566 1939 2.141 1940 0.846 1941 0.793 1942 0.793 1943 1.026 1944 0.741 1945 1.441 1946 1.361 1947 0.957 1948 0.986 1949 0.947 1950 0.953 1951 1.168 1952 0.916 1953 1.034 1954 0.991 1955 0.795 1956 0.785 1957 1.106 1958 0.905 1959 0.666 1960 0.836 1961 0.719 1962 0.576 1963 0.679 1964 0.814 1965 0.748 1966 0.694 1967 0.81 1968 0.8 1969 0.473 1970 0.412 1971 0.546 1972 0.673 1973 0.832 1974 0.985 1975 1.377 1976 1.065 1977 0.968 1978 1.215 1979 1.193 1980 1.062 1981 1.18 1982 1.042 1983 0.847 1984 1.017 1985 0.706 1986 0.605 1987 0.612 1988 0.701 1989 0.546 1990 1.094 1991 1.03 1992 0.977 1993 0.96 1994 0.858 1995 1.023 1996 1.072 1997 1.403