# europe_turk021 - Yellic Beli - 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/5138 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk021 - Yellic Beli - 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: Yellic Beli # Location: # Country: Turkey # Northernmost_Latitude: 36.65 # Southernmost_Latitude: 36.65 # Easternmost_Longitude: 32.18 # Westernmost_Longitude: 32.18 # Elevation: 1723 m #-------------------- # Data_Collection # Collection_Name: europe_turk021B # Earliest_Year: 1778 # Most_Recent_Year: 2000 # 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":"3.97494040405","T2":"15.3764812904","M1":"0.0224799412724","M2":"0.405218114356"}} #-------------------- # 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 1778 0.787 1779 0.676 1780 0.993 1781 0.965 1782 1.042 1783 1.29 1784 1.09 1785 0.874 1786 0.847 1787 0.645 1788 1.134 1789 0.974 1790 0.864 1791 1.151 1792 0.987 1793 1.022 1794 0.958 1795 1.156 1796 1.057 1797 0.779 1798 0.955 1799 1.021 1800 0.849 1801 1.036 1802 0.884 1803 1.166 1804 1.333 1805 1.272 1806 0.84 1807 0.679 1808 0.898 1809 1.011 1810 1.049 1811 1.339 1812 1.051 1813 1.228 1814 1.109 1815 1.091 1816 1.189 1817 1.138 1818 1.265 1819 0.951 1820 0.958 1821 1.242 1822 0.961 1823 0.983 1824 0.983 1825 0.866 1826 1.001 1827 1.479 1828 1.171 1829 0.97 1830 0.984 1831 1.168 1832 1.077 1833 1.038 1834 0.957 1835 1.083 1836 0.651 1837 1.038 1838 1.197 1839 0.986 1840 0.748 1841 0.97 1842 1.01 1843 1.134 1844 0.765 1845 0.832 1846 1.094 1847 1.132 1848 1.127 1849 0.579 1850 0.347 1851 0.525 1852 0.598 1853 1.017 1854 0.894 1855 1.119 1856 0.9 1857 0.795 1858 0.862 1859 0.86 1860 0.944 1861 1.145 1862 1.006 1863 0.616 1864 0.637 1865 0.994 1866 1.182 1867 1.204 1868 0.753 1869 1.092 1870 1.168 1871 1.407 1872 1.413 1873 1.442 1874 1.07 1875 0.8 1876 1.256 1877 1.635 1878 1.056 1879 1.055 1880 0.777 1881 1.103 1882 1.098 1883 1.276 1884 1.205 1885 1.464 1886 1.355 1887 1.196 1888 1.161 1889 1.105 1890 0.995 1891 0.742 1892 0.389 1893 0.095 1894 0.39 1895 0.662 1896 0.626 1897 1.073 1898 0.719 1899 0.422 1900 0.865 1901 1.085 1902 1.316 1903 1.078 1904 1.092 1905 0.849 1906 0.987 1907 0.884 1908 1.122 1909 1.046 1910 1.008 1911 0.577 1912 0.573 1913 0.768 1914 1.144 1915 1.112 1916 0.926 1917 1.171 1918 1.059 1919 1.169 1920 0.792 1921 1.116 1922 1.174 1923 1.171 1924 1.155 1925 1.192 1926 0.986 1927 1.046 1928 0.794 1929 0.745 1930 1.148 1931 1.323 1932 0.752 1933 0.78 1934 0.902 1935 0.721 1936 1.286 1937 0.71 1938 0.834 1939 0.956 1940 1.038 1941 1.223 1942 0.929 1943 0.79 1944 0.685 1945 0.817 1946 0.847 1947 1.003 1948 0.513 1949 0.294 1950 1.106 1951 1.529 1952 1.169 1953 1.16 1954 1.183 1955 0.662 1956 0.8 1957 0.921 1958 1.322 1959 1.071 1960 1.397 1961 0.962 1962 0.804 1963 0.819 1964 0.432 1965 0.564 1966 0.776 1967 0.84 1968 0.814 1969 0.87 1970 1.171 1971 1.136 1972 1.001 1973 0.981 1974 1.105 1975 1.305 1976 1.233 1977 1.044 1978 0.957 1979 1.231 1980 0.823 1981 0.986 1982 1.291 1983 1.284 1984 1.062 1985 1.262 1986 1.282 1987 1.102 1988 1.334 1989 1.197 1990 1.022 1991 1.421 1992 1.189 1993 0.666 1994 0.903 1995 0.834 1996 0.856 1997 0.924 1998 0.857 1999 0.72 2000 0.713