# southamerica_arge099 - Paso de las Nubes 3 - 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: southamerica_arge099 - Paso de las Nubes 3 - 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: Paso de las Nubes 3 # Location: # Country: Argentina # Northernmost_Latitude: -41.12 # Southernmost_Latitude: -41.12 # Easternmost_Longitude: -71.8 # Westernmost_Longitude: -71.8 # Elevation: 1320 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge099B # Earliest_Year: 1862 # Most_Recent_Year: 1991 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"6.63007967262"}{"T2":"15.5137939693"}{"M1":"0.0222542217931"}{"M2":"0.391298462393"} #-------------------- # Species # Species_Name: lenga nothofagus # Species_Code: NOPU #-------------------- # 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 1862 0.869 1863 0.79 1864 1.13 1865 1.08 1866 1.134 1867 1.106 1868 0.684 1869 0.845 1870 1.258 1871 0.685 1872 0.517 1873 0.736 1874 1.371 1875 1.314 1876 1.564 1877 1.55 1878 1.998 1879 0.938 1880 1.346 1881 0.578 1882 0.792 1883 0.737 1884 1.028 1885 0.264 1886 0.47 1887 0.57 1888 0.809 1889 0.578 1890 0.876 1891 0.776 1892 0.895 1893 0.864 1894 0.906 1895 0.663 1896 0.75 1897 0.898 1898 0.989 1899 1.064 1900 0.896 1901 0.846 1902 1.116 1903 1.143 1904 1.174 1905 1.454 1906 1.33 1907 0.926 1908 1.394 1909 1.03 1910 1.189 1911 1.024 1912 0.726 1913 1.38 1914 1.271 1915 1.144 1916 0.981 1917 0.803 1918 0.956 1919 1.029 1920 0.774 1921 0.791 1922 0.937 1923 1.012 1924 1.397 1925 1.091 1926 0.629 1927 1.215 1928 1.09 1929 1.073 1930 0.996 1931 1.101 1932 1.145 1933 1.207 1934 1.094 1935 0.351 1936 0.636 1937 0.64 1938 0.571 1939 1.255 1940 0.528 1941 0.472 1942 1.201 1943 1.014 1944 1.229 1945 1.275 1946 1.063 1947 1.086 1948 0.956 1949 0.849 1950 0.858 1951 0.747 1952 0.304 1953 0.822 1954 1.011 1955 0.841 1956 0.854 1957 1.033 1958 1.126 1959 1.243 1960 1.163 1961 0.899 1962 1.187 1963 0.962 1964 1.457 1965 0.641 1966 0.763 1967 0.945 1968 0.773 1969 1.086 1970 0.309 1971 0.2 1972 0.448 1973 0.389 1974 0.399 1975 0.379 1976 0.481 1977 0.868 1978 1.105 1979 1.196 1980 1.196 1981 1.057 1982 1.328 1983 1.79 1984 1.687 1985 1.697 1986 1.322 1987 1.245 1988 1.411 1989 1.407 1990 1.012 1991 1.184