# europe_yugo002 - Rajinac Senj - 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_yugo002 - Rajinac Senj - 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: Rajinac Senj # Location: # Country: Croatia # Northernmost_Latitude: 44.83 # Southernmost_Latitude: 44.83 # Easternmost_Longitude: 15.0 # Westernmost_Longitude: 15.0 # Elevation: 1550 m #-------------------- # Data_Collection # Collection_Name: europe_yugo002B # Earliest_Year: 1881 # Most_Recent_Year: 1981 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.36811791191"}{"T2":"16.4494149148"}{"M1":"0.022209113703"}{"M2":"0.40469977551"} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1881 0.807 1882 0.892 1883 0.675 1884 0.638 1885 0.893 1886 0.774 1887 0.876 1888 0.792 1889 1.013 1890 0.959 1891 0.85 1892 0.86 1893 0.891 1894 1.019 1895 1.043 1896 1.118 1897 0.968 1898 1.02 1899 1.001 1900 0.92 1901 1.224 1902 1.068 1903 1.016 1904 1.008 1905 0.793 1906 0.776 1907 1.095 1908 1.179 1909 1.207 1910 1.402 1911 1.107 1912 1.297 1913 0.935 1914 1.001 1915 1.214 1916 1.15 1917 1.238 1918 0.913 1919 1.003 1920 0.786 1921 0.799 1922 0.574 1923 0.607 1924 0.815 1925 0.93 1926 0.904 1927 0.797 1928 0.774 1929 0.578 1930 0.783 1931 0.798 1932 0.786 1933 0.638 1934 1.257 1935 0.819 1936 1.01 1937 1.031 1938 1.107 1939 1.233 1940 1.3 1941 1.204 1942 1.113 1943 1.174 1944 1.33 1945 1.033 1946 1.099 1947 1.172 1948 1.035 1949 1.072 1950 0.978 1951 1.039 1952 0.911 1953 0.993 1954 0.845 1955 0.929 1956 0.787 1957 0.628 1958 0.698 1959 0.859 1960 0.965 1961 1.018 1962 1.275 1963 0.692 1964 0.84 1965 0.868 1966 1.115 1967 0.955 1968 1.001 1969 1.304 1970 1.102 1971 0.952 1972 1.068 1973 1.019 1974 1.008 1975 0.736 1976 1.077 1977 1.273 1978 1.094 1979 1.148 1980 0.98 1981 1.251