# asia_syri002 - Bedayat Al Khandak Al Tawil + Rawisat Almedeki - 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_syri002 - Bedayat Al Khandak Al Tawil + Rawisat Almedeki - 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: Bedayat Al Khandak Al Tawil + Rawisat Almedeki # Location: # Country: Syrian Arab Republic # Northernmost_Latitude: 35.57 # Southernmost_Latitude: 35.57 # Easternmost_Longitude: 36.2 # Westernmost_Longitude: 36.2 # Elevation: 1450 m #-------------------- # Data_Collection # Collection_Name: asia_syri002B # Earliest_Year: 1869 # Most_Recent_Year: 2001 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"5.25641763564"}{"T2":"17.3524928837"}{"M1":"0.0231155219215"}{"M2":"0.439450404894"} #-------------------- # Species # Species_Name: Cilician fir # Species_Code: ABCI #-------------------- # 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 1869 1.2 1870 1.276 1871 1.705 1872 1.39 1873 1.027 1874 1.297 1875 1.335 1876 1.435 1877 0.917 1878 0.917 1879 0.674 1880 1.044 1881 0.996 1882 1.313 1883 1.334 1884 1.328 1885 1.513 1886 1.2 1887 0.783 1888 1.168 1889 1.182 1890 0.747 1891 0.617 1892 0.539 1893 0.521 1894 0.659 1895 0.601 1896 0.817 1897 1.001 1898 0.703 1899 0.888 1900 1.219 1901 1.186 1902 0.891 1903 0.902 1904 1.107 1905 0.883 1906 0.709 1907 0.825 1908 0.931 1909 0.659 1910 0.98 1911 1.028 1912 0.93 1913 0.942 1914 1.302 1915 1.024 1916 0.612 1917 0.733 1918 0.742 1919 1.039 1920 0.757 1921 0.825 1922 0.974 1923 0.906 1924 1.164 1925 1.096 1926 1.36 1927 0.915 1928 0.792 1929 0.983 1930 1.075 1931 1.139 1932 0.847 1933 1.123 1934 1.203 1935 0.651 1936 1.445 1937 0.904 1938 1.066 1939 0.954 1940 1.31 1941 0.811 1942 0.96 1943 0.725 1944 0.594 1945 0.497 1946 0.547 1947 0.794 1948 0.969 1949 0.489 1950 0.797 1951 0.718 1952 0.924 1953 1.102 1954 1.048 1955 0.831 1956 0.843 1957 0.835 1958 0.709 1959 1.436 1960 1.168 1961 1.032 1962 0.82 1963 0.943 1964 0.736 1965 0.958 1966 0.9 1967 1.158 1968 0.878 1969 0.464 1970 0.935 1971 0.966 1972 1.299 1973 1.3 1974 1.187 1975 1.56 1976 1.518 1977 1.1 1978 1.267 1979 1.064 1980 0.702 1981 1.309 1982 0.893 1983 1.757 1984 0.687 1985 0.44 1986 0.509 1987 0.729 1988 0.844 1989 0.702 1990 1.155 1991 1.117 1992 0.936 1993 0.746 1994 0.887 1995 0.79 1996 0.591 1997 0.56 1998 0.824 1999 0.613 2000 0.721 2001 0.829