# europe_finl4 - Pitkäsaari, Pihlajavesi Savonlinna - 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_finl4 - Pitkäsaari, Pihlajavesi Savonlinna - 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: Pitkäsaari, Pihlajavesi Savonlinna # Location: # Country: Finland # Northernmost_Latitude: 61.67 # Southernmost_Latitude: 61.67 # Easternmost_Longitude: 29.08 # Westernmost_Longitude: 29.08 # Elevation: 90 m #-------------------- # Data_Collection # Collection_Name: europe_finl4B # Earliest_Year: 1843 # Most_Recent_Year: 1993 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"3.10591404766"}{"T2":"14.4506982109"}{"M1":"0.0236926246246"}{"M2":"0.577541401855"} #-------------------- # 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 1843 1.263 1844 1.391 1845 0.461 1846 0.767 1847 0.683 1848 0.843 1849 0.865 1850 0.976 1851 1.272 1852 0.644 1853 0.463 1854 0.863 1855 0.726 1856 0.93 1857 0.935 1858 0.781 1859 0.59 1860 1.018 1861 0.883 1862 1.238 1863 1.084 1864 1.143 1865 1.222 1866 1.302 1867 1.064 1868 1.042 1869 1.053 1870 1.338 1871 1.182 1872 1.032 1873 1.254 1874 0.964 1875 0.45 1876 0.771 1877 0.822 1878 0.853 1879 0.698 1880 0.703 1881 0.708 1882 0.794 1883 0.735 1884 0.851 1885 0.824 1886 0.919 1887 0.782 1888 0.846 1889 0.473 1890 0.889 1891 0.925 1892 1.161 1893 0.757 1894 0.808 1895 0.573 1896 0.445 1897 0.439 1898 0.498 1899 0.549 1900 0.304 1901 0.454 1902 0.645 1903 1.19 1904 1.255 1905 0.822 1906 0.788 1907 0.948 1908 1.014 1909 1.018 1910 0.896 1911 1.118 1912 1.407 1913 1.306 1914 1.329 1915 1.62 1916 1.376 1917 1.016 1918 0.937 1919 0.798 1920 1.193 1921 1.616 1922 1.748 1923 1.678 1924 2.004 1925 1.591 1926 1.213 1927 1.36 1928 1.076 1929 1.066 1930 1.054 1931 0.996 1932 1.288 1933 1.025 1934 1.321 1935 1.176 1936 1.225 1937 1.173 1938 1.276 1939 0.955 1940 0.547 1941 0.729 1942 0.534 1943 0.985 1944 1.01 1945 0.94 1946 1.203 1947 0.906 1948 0.957 1949 1.072 1950 1.154 1951 0.941 1952 1.143 1953 1.352 1954 1.228 1955 0.883 1956 0.721 1957 1.295 1958 1.359 1959 0.744 1960 1.114 1961 1.035 1962 1.186 1963 0.887 1964 0.82 1965 0.942 1966 0.948 1967 1.119 1968 1.012 1969 0.637 1970 0.746 1971 0.869 1972 0.808 1973 0.651 1974 0.954 1975 0.757 1976 0.724 1977 0.623 1978 0.543 1979 0.646 1980 0.596 1981 0.884 1982 1.089 1983 0.895 1984 0.648 1985 0.91 1986 0.791 1987 1.162 1988 1.065 1989 0.786 1990 0.61 1991 0.871 1992 0.484 1993 0.833