# europe_swit117 - Bannwald Sud Fichte - 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_swit117 - Bannwald Sud Fichte - 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: Bannwald Sud Fichte # Location: # Country: Switzerland # Northernmost_Latitude: 46.33 # Southernmost_Latitude: 46.33 # Easternmost_Longitude: 7.63 # Westernmost_Longitude: 7.63 # Elevation: 1230 m #-------------------- # Data_Collection # Collection_Name: europe_swit117B # Earliest_Year: 1836 # Most_Recent_Year: 1980 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.62900091128"}{"T2":"17.1212753059"}{"M1":"0.0229010329132"}{"M2":"0.411705476393"} #-------------------- # 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 1836 0.85 1837 0.813 1838 0.996 1839 0.741 1840 0.82 1841 0.987 1842 0.786 1843 1.256 1844 0.821 1845 1.114 1846 1.183 1847 0.82 1848 0.844 1849 0.898 1850 0.736 1851 1.014 1852 1.107 1853 1.273 1854 1.116 1855 0.92 1856 1.192 1857 0.868 1858 0.738 1859 1.04 1860 1.046 1861 1.092 1862 0.805 1863 1.101 1864 1.26 1865 0.754 1866 1.101 1867 1.186 1868 1.029 1869 1.049 1870 0.69 1871 1.059 1872 1.08 1873 0.823 1874 0.588 1875 0.996 1876 1.275 1877 1.139 1878 1.469 1879 1.508 1880 0.786 1881 0.776 1882 0.641 1883 0.918 1884 0.62 1885 0.375 1886 0.799 1887 0.937 1888 1.314 1889 1.802 1890 1.5 1891 1.448 1892 1.221 1893 0.628 1894 0.519 1895 1.012 1896 1.204 1897 1.142 1898 1.288 1899 0.854 1900 1.089 1901 1.034 1902 1.265 1903 0.77 1904 1.107 1905 1.02 1906 1.087 1907 1.079 1908 1.061 1909 1.115 1910 1.426 1911 1.045 1912 0.951 1913 1.005 1914 1.189 1915 0.977 1916 1.418 1917 1.147 1918 1.416 1919 1.167 1920 1.05 1921 0.176 1922 0.661 1923 1.049 1924 0.913 1925 0.483 1926 0.95 1927 0.974 1928 0.81 1929 0.751 1930 0.762 1931 0.751 1932 1.132 1933 0.727 1934 0.661 1935 0.607 1936 0.758 1937 0.851 1938 0.832 1939 0.794 1940 1.123 1941 0.931 1942 0.612 1943 0.966 1944 0.57 1945 0.864 1946 1.003 1947 0.765 1948 0.672 1949 0.699 1950 0.701 1951 1.068 1952 1.05 1953 1.285 1954 0.935 1955 1.433 1956 1.294 1957 1.466 1958 1.327 1959 0.834 1960 0.99 1961 1.288 1962 0.76 1963 1.087 1964 0.981 1965 1.268 1966 1.001 1967 1.106 1968 0.968 1969 1.288 1970 0.912 1971 0.916 1972 0.817 1973 0.928 1974 0.769 1975 0.87 1976 0.523 1977 1.049 1978 1.215 1979 0.965 1980 1.278