# europe_brit003 - Cappoquin - 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_brit003 - Cappoquin - 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: Cappoquin # Location: # Country: Ireland # Northernmost_Latitude: 52.13 # Southernmost_Latitude: 52.13 # Easternmost_Longitude: -7.9 # Westernmost_Longitude: -7.9 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: europe_brit003B # Earliest_Year: 1842 # Most_Recent_Year: 1978 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"4.21014576449"}{"T2":"17.5100074978"}{"M1":"0.0223405045105"}{"M2":"0.366258521404"} #-------------------- # Species # Species_Name: durmast oak # Species_Code: QUPE #-------------------- # 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 1842 0.68 1843 0.752 1844 0.571 1845 0.944 1846 0.88 1847 1.034 1848 1.038 1849 1.05 1850 1.233 1851 1.361 1852 1.37 1853 1.137 1854 1.071 1855 1.283 1856 0.88 1857 1.052 1858 0.924 1859 0.928 1860 0.959 1861 0.987 1862 0.887 1863 0.701 1864 0.72 1865 0.856 1866 0.892 1867 1.053 1868 0.811 1869 1.039 1870 1.142 1871 0.889 1872 0.975 1873 1.05 1874 1.049 1875 1.197 1876 0.935 1877 0.971 1878 1.041 1879 0.994 1880 0.998 1881 1.072 1882 0.888 1883 1.057 1884 1.14 1885 0.968 1886 1.038 1887 0.729 1888 1.025 1889 1.009 1890 1.108 1891 1.023 1892 1.069 1893 0.923 1894 0.985 1895 0.945 1896 0.946 1897 1.321 1898 0.875 1899 1.16 1900 1.095 1901 0.905 1902 0.959 1903 0.909 1904 1.06 1905 0.867 1906 0.662 1907 0.551 1908 0.677 1909 0.767 1910 1.165 1911 1.114 1912 1.098 1913 0.945 1914 0.79 1915 0.618 1916 0.676 1917 0.894 1918 0.657 1919 0.6 1920 0.742 1921 0.589 1922 0.855 1923 0.61 1924 0.752 1925 0.844 1926 0.843 1927 1.044 1928 0.85 1929 0.906 1930 0.989 1931 0.982 1932 1.151 1933 0.948 1934 1.07 1935 1.535 1936 1.783 1937 1.466 1938 1.394 1939 1.452 1940 1.267 1941 1.661 1942 1.735 1943 1.221 1944 1.256 1945 1.664 1946 1.468 1947 1.447 1948 1.401 1949 1.625 1950 1.523 1951 1.344 1952 0.981 1953 1.16 1954 0.805 1955 0.719 1956 0.81 1957 0.883 1958 0.964 1959 0.944 1960 1.019 1961 0.867 1962 1.284 1963 0.918 1964 0.741 1965 0.841 1966 0.868 1967 0.878 1968 0.774 1969 0.612 1970 0.537 1971 0.569 1972 0.496 1973 0.46 1974 0.527 1975 0.688 1976 0.543 1977 0.568 1978 0.454