# europe_fran9 - Mt. Ventoux (facing South) - 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_fran9 - Mt. Ventoux (facing South) - 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: Mt. Ventoux (facing South) # Location: # Country: France # Northernmost_Latitude: 44.17 # Southernmost_Latitude: 44.17 # Easternmost_Longitude: 5.25 # Westernmost_Longitude: 5.25 # Elevation: 1600 m #-------------------- # Data_Collection # Collection_Name: europe_fran9B # Earliest_Year: 1844 # Most_Recent_Year: 1981 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.12680098436"}{"T2":"15.1309836556"}{"M1":"0.0230772780846"}{"M2":"0.571146270959"} #-------------------- # 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 1844 1.141 1845 0.947 1846 1.119 1847 0.937 1848 0.963 1849 0.856 1850 0.979 1851 1.076 1852 1.219 1853 1.095 1854 1.041 1855 0.847 1856 0.801 1857 1.047 1858 0.821 1859 0.82 1860 0.723 1861 0.935 1862 0.956 1863 1.103 1864 1.138 1865 1.383 1866 1.278 1867 1.487 1868 1.233 1869 1.061 1870 0.786 1871 0.994 1872 1.25 1873 1.123 1874 1.09 1875 1.056 1876 1.267 1877 1.12 1878 1.496 1879 0.868 1880 0.907 1881 0.906 1882 0.977 1883 1.172 1884 1.193 1885 0.886 1886 0.867 1887 1.03 1888 0.975 1889 0.975 1890 0.852 1891 0.868 1892 1.038 1893 0.834 1894 0.814 1895 1.062 1896 1.205 1897 1.369 1898 0.895 1899 0.859 1900 1.127 1901 1.0 1902 0.926 1903 1.032 1904 1.158 1905 1.074 1906 0.681 1907 0.762 1908 1.03 1909 0.782 1910 1.019 1911 0.924 1912 0.931 1913 1.013 1914 1.34 1915 0.959 1916 1.099 1917 1.158 1918 0.692 1919 0.661 1920 0.874 1921 0.803 1922 0.613 1923 0.885 1924 0.819 1925 0.939 1926 0.733 1927 1.085 1928 0.855 1929 0.834 1930 1.133 1931 1.03 1932 1.062 1933 0.975 1934 1.071 1935 0.752 1936 0.674 1937 0.888 1938 1.026 1939 1.157 1940 1.152 1941 1.095 1942 0.755 1943 1.035 1944 1.388 1945 0.807 1946 0.723 1947 0.995 1948 1.214 1949 0.864 1950 0.681 1951 0.989 1952 0.846 1953 0.821 1954 0.85 1955 1.121 1956 1.055 1957 1.051 1958 1.142 1959 1.195 1960 0.904 1961 0.936 1962 0.509 1963 1.075 1964 1.088 1965 1.053 1966 1.109 1967 0.85 1968 1.027 1969 1.332 1970 1.025 1971 1.256 1972 1.115 1973 1.398 1974 0.857 1975 1.056 1976 1.144 1977 1.135 1978 0.844 1979 0.751 1980 1.027 1981 1.058