# europe_finl012 - Kyynara National Park Liesjarven - 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_finl012 - Kyynara National Park Liesjarven - 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: Kyynara National Park Liesjarven # Location: # Country: Finland # Northernmost_Latitude: 60.67 # Southernmost_Latitude: 60.67 # Easternmost_Longitude: 23.88 # Westernmost_Longitude: 23.88 # Elevation: 115 m #-------------------- # Data_Collection # Collection_Name: europe_finl012B # Earliest_Year: 1813 # Most_Recent_Year: 1978 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"5.18847316642"}{"T2":"16.1140854471"}{"M1":"0.0227207624004"}{"M2":"0.504615515482"} #-------------------- # 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 1813 1.439 1814 1.139 1815 0.838 1816 0.919 1817 1.159 1818 1.131 1819 1.195 1820 1.137 1821 1.14 1822 1.035 1823 1.153 1824 1.385 1825 1.338 1826 1.384 1827 1.214 1828 1.233 1829 1.164 1830 1.16 1831 1.052 1832 1.03 1833 1.139 1834 1.177 1835 1.07 1836 1.042 1837 0.977 1838 1.205 1839 1.164 1840 1.016 1841 1.245 1842 1.186 1843 1.021 1844 1.114 1845 1.082 1846 1.138 1847 0.778 1848 1.062 1849 1.173 1850 1.257 1851 1.225 1852 1.138 1853 1.0 1854 1.069 1855 0.839 1856 0.871 1857 0.937 1858 0.846 1859 0.824 1860 0.888 1861 1.174 1862 1.192 1863 1.123 1864 0.942 1865 0.947 1866 0.927 1867 0.763 1868 0.948 1869 0.753 1870 0.93 1871 0.874 1872 0.925 1873 0.835 1874 0.82 1875 0.902 1876 0.827 1877 0.739 1878 0.793 1879 0.673 1880 0.719 1881 0.727 1882 0.987 1883 0.762 1884 0.807 1885 0.802 1886 0.812 1887 0.697 1888 0.762 1889 0.703 1890 0.695 1891 0.611 1892 0.697 1893 0.741 1894 0.791 1895 0.81 1896 0.691 1897 0.668 1898 0.693 1899 0.665 1900 0.7 1901 0.711 1902 0.386 1903 0.666 1904 0.598 1905 0.707 1906 0.814 1907 0.719 1908 0.657 1909 0.565 1910 0.616 1911 0.656 1912 0.59 1913 0.654 1914 0.618 1915 0.595 1916 0.653 1917 0.602 1918 0.59 1919 0.67 1920 0.85 1921 1.231 1922 1.388 1923 1.257 1924 1.539 1925 1.705 1926 1.387 1927 1.31 1928 1.339 1929 1.489 1930 1.403 1931 1.268 1932 1.244 1933 1.172 1934 1.332 1935 1.076 1936 1.55 1937 1.521 1938 1.457 1939 1.326 1940 1.358 1941 0.918 1942 1.048 1943 1.136 1944 1.217 1945 1.351 1946 1.335 1947 1.406 1948 1.167 1949 1.022 1950 0.973 1951 0.912 1952 1.143 1953 1.168 1954 0.851 1955 0.839 1956 0.825 1957 0.98 1958 0.719 1959 0.941 1960 0.912 1961 0.765 1962 1.026 1963 1.25 1964 0.988 1965 1.022 1966 1.036 1967 0.921 1968 0.939 1969 0.866 1970 0.878 1971 1.134 1972 1.15 1973 0.777 1974 1.009 1975 1.111 1976 1.396 1977 0.965 1978 0.96