# europe_brit027 - Breen Wood - 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_brit027 - Breen Wood - 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: Breen Wood # Location: # Country: United Kingdom # Northernmost_Latitude: 55.3 # Southernmost_Latitude: 55.3 # Easternmost_Longitude: -6.23 # Westernmost_Longitude: -6.23 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: europe_brit027B # Earliest_Year: 1874 # Most_Recent_Year: 1988 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"7.83399543835"}{"T2":"19.1104836803"}{"M1":"0.0222504842142"}{"M2":"0.339216995096"} #-------------------- # Species # Species_Name: oak # Species_Code: QUSP #-------------------- # 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 1874 0.816 1875 1.081 1876 0.951 1877 0.745 1878 0.692 1879 0.788 1880 0.692 1881 0.947 1882 1.082 1883 0.99 1884 1.09 1885 0.887 1886 1.02 1887 1.164 1888 0.978 1889 1.004 1890 1.464 1891 1.334 1892 1.472 1893 1.293 1894 0.673 1895 0.786 1896 1.271 1897 1.17 1898 0.736 1899 1.317 1900 1.537 1901 1.467 1902 0.977 1903 1.141 1904 1.391 1905 1.187 1906 1.245 1907 0.637 1908 0.881 1909 0.86 1910 1.027 1911 1.397 1912 0.907 1913 0.866 1914 0.824 1915 1.034 1916 1.024 1917 1.429 1918 1.545 1919 1.214 1920 0.83 1921 0.804 1922 0.743 1923 0.467 1924 0.683 1925 1.086 1926 0.734 1927 0.795 1928 0.522 1929 0.851 1930 0.586 1931 0.507 1932 0.628 1933 1.099 1934 1.102 1935 1.07 1936 0.832 1937 0.836 1938 0.49 1939 0.975 1940 1.145 1941 1.122 1942 0.965 1943 0.915 1944 0.768 1945 0.883 1946 0.93 1947 1.331 1948 0.619 1949 0.43 1950 0.812 1951 0.916 1952 1.079 1953 0.875 1954 0.681 1955 1.017 1956 0.711 1957 0.739 1958 0.692 1959 0.933 1960 1.165 1961 0.871 1962 0.963 1963 1.137 1964 1.466 1965 0.975 1966 1.194 1967 1.151 1968 1.345 1969 1.262 1970 0.94 1971 1.089 1972 0.729 1973 0.822 1974 0.986 1975 1.331 1976 0.93 1977 1.051 1978 1.12 1979 1.006 1980 1.165 1981 1.076 1982 1.422 1983 1.523 1984 1.214 1985 0.692 1986 0.656 1987 0.878 1988 1.138