# europe_fran004 - Foret de Guines - 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_fran004 - Foret de Guines - 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: Foret de Guines # Location: # Country: France # Northernmost_Latitude: 50.83 # Southernmost_Latitude: 50.83 # Easternmost_Longitude: 1.85 # Westernmost_Longitude: 1.85 # Elevation: 140 m #-------------------- # Data_Collection # Collection_Name: europe_fran004B # Earliest_Year: 1869 # Most_Recent_Year: 1979 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"4.05004919085"}{"T2":"14.421478299"}{"M1":"0.0223259395681"}{"M2":"0.485315932761"} #-------------------- # 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 1869 0.911 1870 0.924 1871 1.129 1872 0.964 1873 0.726 1874 0.762 1875 0.879 1876 0.648 1877 0.762 1878 0.959 1879 1.148 1880 1.035 1881 0.748 1882 0.761 1883 1.032 1884 1.141 1885 0.737 1886 0.7 1887 0.629 1888 0.901 1889 1.063 1890 1.496 1891 1.034 1892 1.058 1893 1.027 1894 0.624 1895 0.679 1896 0.566 1897 0.945 1898 0.503 1899 0.852 1900 0.935 1901 0.939 1902 0.98 1903 1.273 1904 0.973 1905 0.846 1906 0.824 1907 1.055 1908 1.47 1909 1.486 1910 1.686 1911 1.322 1912 1.682 1913 1.765 1914 1.321 1915 0.73 1916 0.741 1917 1.361 1918 1.429 1919 0.434 1920 0.287 1921 0.592 1922 1.016 1923 0.785 1924 0.97 1925 1.034 1926 1.168 1927 1.396 1928 1.189 1929 1.188 1930 0.698 1931 1.51 1932 1.434 1933 1.337 1934 1.041 1935 0.727 1936 1.384 1937 0.779 1938 1.18 1939 0.78 1940 0.595 1941 0.713 1942 1.097 1943 1.009 1944 1.032 1945 1.248 1946 1.038 1947 0.761 1948 1.091 1949 0.904 1950 1.55 1951 1.299 1952 1.064 1953 0.68 1954 0.666 1955 0.82 1956 0.678 1957 0.806 1958 1.161 1959 1.041 1960 1.067 1961 1.207 1962 1.204 1963 0.775 1964 1.071 1965 1.309 1966 1.34 1967 1.35 1968 0.919 1969 1.036 1970 0.816 1971 0.58 1972 0.363 1973 0.631 1974 0.732 1975 0.6 1976 0.6 1977 0.894 1978 1.153 1979 0.45