# asia_leba005 - Arz Jaj - 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: asia_leba005 - Arz Jaj - 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: Arz Jaj # Location: # Country: Lebanon # Northernmost_Latitude: 34.13 # Southernmost_Latitude: 34.13 # Easternmost_Longitude: 35.82 # Westernmost_Longitude: 35.82 # Elevation: 1780 m #-------------------- # Data_Collection # Collection_Name: asia_leba005B # Earliest_Year: 1870 # Most_Recent_Year: 2002 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"temperature"}{"T1":"5.22733587904"}{"T2":"15.4058332056"}{"M1":"0.022567760604"}{"M2":"0.284644973092"} #-------------------- # Species # Species_Name: cedar of Lebanone # Species_Code: CDLI #-------------------- # 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 1870 0.62 1871 0.373 1872 0.283 1873 0.752 1874 0.689 1875 0.764 1876 0.892 1877 0.778 1878 0.674 1879 0.724 1880 0.832 1881 1.012 1882 0.898 1883 1.025 1884 1.007 1885 1.176 1886 0.89 1887 0.888 1888 1.188 1889 1.102 1890 0.941 1891 1.143 1892 0.975 1893 0.867 1894 1.024 1895 1.114 1896 1.108 1897 1.219 1898 0.881 1899 1.02 1900 1.471 1901 1.312 1902 1.243 1903 1.148 1904 1.372 1905 1.111 1906 1.162 1907 0.963 1908 1.124 1909 0.904 1910 1.077 1911 0.952 1912 0.896 1913 0.822 1914 1.076 1915 1.13 1916 0.957 1917 1.434 1918 1.232 1919 1.466 1920 1.194 1921 1.417 1922 1.196 1923 1.14 1924 1.307 1925 1.152 1926 1.189 1927 0.922 1928 0.708 1929 1.046 1930 1.079 1931 0.955 1932 0.591 1933 0.701 1934 0.772 1935 0.723 1936 1.215 1937 1.075 1938 1.027 1939 0.955 1940 1.007 1941 0.987 1942 0.806 1943 0.957 1944 0.882 1945 0.925 1946 0.678 1947 0.351 1948 0.517 1949 0.363 1950 0.478 1951 0.687 1952 0.667 1953 0.68 1954 0.635 1955 0.823 1956 0.849 1957 0.942 1958 1.113 1959 1.233 1960 1.241 1961 0.935 1962 1.014 1963 1.014 1964 0.989 1965 0.975 1966 1.054 1967 0.954 1968 1.002 1969 0.849 1970 1.161 1971 1.038 1972 1.213 1973 1.191 1974 0.948 1975 1.164 1976 1.337 1977 1.342 1978 1.221 1979 1.284 1980 0.887 1981 1.27 1982 1.091 1983 1.226 1984 1.188 1985 0.876 1986 0.821 1987 0.8 1988 0.774 1989 0.867 1990 0.932 1991 1.228 1992 0.972 1993 0.971 1994 1.157 1995 0.89 1996 0.718 1997 0.778 1998 0.966 1999 1.104 2000 0.972 2001 1.389 2002 1.367