# europe_fran4 - Mimet (mt. L' Eloile) - 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_fran4 - Mimet (mt. L' Eloile) - 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: Mimet (mt. L' Eloile) # Location: # Country: France # Northernmost_Latitude: 43.4 # Southernmost_Latitude: 43.4 # Easternmost_Longitude: 5.5 # Westernmost_Longitude: 5.5 # Elevation: 500 m #-------------------- # Data_Collection # Collection_Name: europe_fran4B # Earliest_Year: 1850 # Most_Recent_Year: 1978 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.40811658499"}{"T2":"14.8747182478"}{"M1":"0.0223354289217"}{"M2":"0.575264510821"} #-------------------- # 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 1850 0.937 1851 1.009 1852 1.076 1853 1.38 1854 1.116 1855 1.049 1856 1.158 1857 1.029 1858 1.006 1859 0.985 1860 0.997 1861 0.906 1862 0.782 1863 0.852 1864 1.002 1865 0.643 1866 0.584 1867 0.738 1868 0.543 1869 0.677 1870 0.649 1871 0.525 1872 0.662 1873 0.915 1874 0.841 1875 0.86 1876 0.938 1877 0.593 1878 0.398 1879 0.63 1880 0.789 1881 0.733 1882 0.509 1883 0.654 1884 0.772 1885 0.667 1886 0.56 1887 0.927 1888 1.022 1889 1.092 1890 1.072 1891 1.03 1892 0.862 1893 0.977 1894 0.871 1895 1.007 1896 0.765 1897 1.008 1898 1.163 1899 1.146 1900 0.996 1901 0.98 1902 0.993 1903 1.273 1904 0.765 1905 0.895 1906 1.029 1907 0.833 1908 1.226 1909 0.991 1910 1.231 1911 1.209 1912 1.474 1913 0.971 1914 1.319 1915 1.549 1916 1.415 1917 1.413 1918 1.134 1919 1.019 1920 1.0 1921 0.977 1922 0.74 1923 0.667 1924 0.857 1925 1.232 1926 0.91 1927 0.936 1928 1.048 1929 0.916 1930 1.511 1931 1.033 1932 1.639 1933 1.463 1934 1.183 1935 1.332 1936 1.181 1937 0.925 1938 1.204 1939 1.389 1940 1.522 1941 1.389 1942 1.338 1943 1.23 1944 0.928 1945 0.486 1946 0.9 1947 0.493 1948 0.806 1949 0.661 1950 0.657 1951 1.028 1952 0.791 1953 0.838 1954 1.211 1955 0.58 1956 0.829 1957 0.825 1958 0.693 1959 0.974 1960 1.038 1961 1.143 1962 0.722 1963 1.542 1964 0.978 1965 0.48 1966 0.781 1967 0.626 1968 0.818 1969 0.705 1970 0.551 1971 1.09 1972 0.979 1973 0.428 1974 0.742 1975 0.887 1976 0.64 1977 0.861 1978 1.028