# europe_germ004 - Barkhausen - 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_germ004 - Barkhausen - 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: Barkhausen # Location: # Country: Germany # Northernmost_Latitude: 52.25 # Southernmost_Latitude: 52.25 # Easternmost_Longitude: 8.9 # Westernmost_Longitude: 8.9 # Elevation: 43 m #-------------------- # Data_Collection # Collection_Name: europe_germ004B # Earliest_Year: 1854 # Most_Recent_Year: 1972 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.21454744646"}{"T2":"18.8789721"}{"M1":"0.0225000171565"}{"M2":"0.372382085885"} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 1854 0.924 1855 0.757 1856 0.77 1857 1.131 1858 1.101 1859 1.068 1860 0.816 1861 0.835 1862 0.992 1863 1.152 1864 0.929 1865 1.369 1866 1.094 1867 1.505 1868 1.34 1869 1.067 1870 1.471 1871 1.066 1872 0.854 1873 0.986 1874 0.356 1875 0.34 1876 0.432 1877 0.564 1878 1.039 1879 0.98 1880 0.923 1881 0.857 1882 0.634 1883 0.848 1884 1.069 1885 0.97 1886 1.097 1887 0.916 1888 1.099 1889 0.996 1890 0.792 1891 0.698 1892 1.219 1893 1.094 1894 0.961 1895 1.186 1896 1.193 1897 1.184 1898 0.919 1899 1.101 1900 0.816 1901 0.746 1902 0.717 1903 1.299 1904 1.077 1905 0.922 1906 0.935 1907 1.233 1908 1.216 1909 0.628 1910 0.701 1911 1.032 1912 1.188 1913 1.084 1914 1.409 1915 1.22 1916 1.168 1917 1.784 1918 0.902 1919 1.038 1920 1.16 1921 0.85 1922 1.368 1923 1.194 1924 1.253 1925 0.583 1926 0.549 1927 0.695 1928 0.451 1929 0.556 1930 0.637 1931 0.941 1932 0.957 1933 0.924 1934 0.969 1935 0.789 1936 0.703 1937 0.696 1938 0.689 1939 0.624 1940 0.566 1941 0.645 1942 0.818 1943 1.123 1944 1.022 1945 1.459 1946 1.571 1947 0.946 1948 1.248 1949 1.49 1950 2.179 1951 1.174 1952 1.077 1953 1.329 1954 0.82 1955 0.823 1956 0.598 1957 0.494 1958 0.483 1959 0.351 1960 0.466 1961 0.699 1962 0.872 1963 0.805 1964 0.827 1965 0.971 1966 1.276 1967 1.643 1968 1.407 1969 1.011 1970 1.28 1971 1.418 1972 1.379