# europe_turk027 - Devecikonak Forest - 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: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3423 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk027 - Devecikonak Forest - 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. #-------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Devecikonak Forest # Location: # Country: Turkey # Northernmost_Latitude: 39.92 # Southernmost_Latitude: 39.92 # Easternmost_Longitude: 28.55 # Westernmost_Longitude: 28.55 # Elevation: 750 m #-------------------- # Data_Collection # Collection_Name: europe_turk027B # Earliest_Year: 1817 # Most_Recent_Year: 2003 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.01365487504","T2":"15.9570086951","M1":"0.0226216974304","M2":"0.52528242603"}} #-------------------- # Species # Species_Name: oak # Species_Code: QUSP #-------------------- # 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 1817 1.175 1818 0.993 1819 1.031 1820 1.029 1821 0.938 1822 1.01 1823 0.89 1824 0.936 1825 0.739 1826 0.809 1827 1.046 1828 1.019 1829 1.126 1830 0.841 1831 0.961 1832 0.808 1833 0.8 1834 0.813 1835 1.137 1836 1.086 1837 0.944 1838 0.985 1839 1.175 1840 0.966 1841 1.262 1842 0.973 1843 0.809 1844 1.056 1845 0.742 1846 0.851 1847 0.884 1848 0.953 1849 0.992 1850 0.925 1851 0.747 1852 0.856 1853 0.811 1854 0.777 1855 0.819 1856 0.819 1857 0.768 1858 0.804 1859 0.866 1860 1.085 1861 0.923 1862 0.822 1863 0.832 1864 0.743 1865 0.863 1866 0.952 1867 0.967 1868 1.129 1869 0.929 1870 1.036 1871 1.187 1872 1.353 1873 1.247 1874 1.056 1875 1.025 1876 1.052 1877 1.456 1878 1.269 1879 1.379 1880 1.274 1881 1.322 1882 1.171 1883 1.127 1884 1.119 1885 1.184 1886 1.172 1887 0.868 1888 1.016 1889 1.081 1890 0.92 1891 1.062 1892 1.028 1893 0.933 1894 0.846 1895 0.768 1896 0.869 1897 1.036 1898 0.862 1899 0.696 1900 0.951 1901 0.966 1902 0.951 1903 1.029 1904 0.911 1905 1.066 1906 0.994 1907 0.945 1908 0.926 1909 0.922 1910 0.98 1911 1.004 1912 0.803 1913 0.986 1914 1.177 1915 0.971 1916 0.891 1917 1.128 1918 0.841 1919 1.057 1920 1.086 1921 1.118 1922 1.085 1923 1.021 1924 1.197 1925 1.222 1926 0.966 1927 0.911 1928 0.782 1929 0.899 1930 0.817 1931 0.887 1932 0.817 1933 0.834 1934 0.842 1935 0.733 1936 1.033 1937 0.893 1938 0.915 1939 0.926 1940 1.074 1941 1.014 1942 1.026 1943 1.149 1944 0.988 1945 0.852 1946 0.812 1947 0.691 1948 0.918 1949 0.863 1950 0.915 1951 0.968 1952 0.974 1953 1.211 1954 1.032 1955 0.805 1956 1.015 1957 0.902 1958 0.829 1959 1.068 1960 1.097 1961 1.018 1962 0.833 1963 1.008 1964 1.007 1965 0.961 1966 1.079 1967 0.982 1968 0.946 1969 0.915 1970 1.099 1971 1.144 1972 1.069 1973 0.99 1974 1.043 1975 1.127 1976 1.214 1977 1.068 1978 1.099 1979 1.203 1980 1.088 1981 1.012 1982 0.969 1983 0.966 1984 0.888 1985 0.993 1986 0.913 1987 0.986 1988 0.952 1989 0.957 1990 0.942 1991 1.118 1992 0.986 1993 0.908 1994 0.902 1995 0.865 1996 0.928 1997 0.991 1998 1.18 1999 1.082 2000 1.159 2001 0.983 2002 1.004 2003 1.161