# europe_swit110 - Riederalp Vs Aletschwald - 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_swit110 - Riederalp Vs Aletschwald - 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: Riederalp Vs Aletschwald # Location: # Country: Switzerland # Northernmost_Latitude: 46.4 # Southernmost_Latitude: 46.4 # Easternmost_Longitude: 8.02 # Westernmost_Longitude: 8.02 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: europe_swit110B # Earliest_Year: 1868 # Most_Recent_Year: 1974 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.18515855433"}{"T2":"17.0885461974"}{"M1":"0.0225796880122"}{"M2":"0.408135158277"} #-------------------- # 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 1868 1.095 1869 0.984 1870 0.922 1871 1.08 1872 1.052 1873 1.027 1874 1.031 1875 1.075 1876 0.995 1877 1.09 1878 0.92 1879 0.96 1880 0.971 1881 1.204 1882 1.077 1883 1.004 1884 1.061 1885 1.095 1886 0.995 1887 1.003 1888 0.718 1889 1.022 1890 0.932 1891 0.811 1892 1.101 1893 1.072 1894 1.086 1895 1.012 1896 0.85 1897 1.094 1898 1.054 1899 1.054 1900 1.177 1901 1.241 1902 1.103 1903 1.095 1904 1.14 1905 1.175 1906 0.826 1907 0.82 1908 1.169 1909 0.73 1910 0.93 1911 1.127 1912 0.848 1913 0.809 1914 1.003 1915 1.043 1916 0.923 1917 1.067 1918 0.946 1919 1.066 1920 1.114 1921 1.306 1922 0.895 1923 1.044 1924 0.997 1925 1.118 1926 0.927 1927 1.109 1928 1.209 1929 0.884 1930 0.907 1931 1.13 1932 0.976 1933 0.746 1934 0.769 1935 0.834 1936 0.919 1937 1.017 1938 0.941 1939 0.853 1940 0.68 1941 0.895 1942 0.978 1943 1.01 1944 0.866 1945 0.909 1946 0.93 1947 1.069 1948 0.534 1949 1.052 1950 0.972 1951 1.149 1952 1.243 1953 0.827 1954 0.975 1955 1.232 1956 0.913 1957 0.919 1958 1.028 1959 0.958 1960 0.866 1961 0.995 1962 0.835 1963 0.902 1964 1.133 1965 0.871 1966 1.115 1967 1.156 1968 1.017 1969 1.144 1970 1.035 1971 1.021 1972 0.909 1973 1.107 1974 0.782