# europe_turk008 - Zonguldak Yenice Isletmesi Bakraz Bolgesi - 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/3819 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk008 - Zonguldak Yenice Isletmesi Bakraz Bolgesi - 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: Zonguldak Yenice Isletmesi Bakraz Bolgesi # Location: # Country: Turkey # Northernmost_Latitude: 41.2 # Southernmost_Latitude: 41.2 # Easternmost_Longitude: 32.3 # Westernmost_Longitude: 32.3 # Elevation: 1140 m #-------------------- # Data_Collection # Collection_Name: europe_turk008B # Earliest_Year: 1802 # 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":"4.25088924672","T2":"14.4048257158","M1":"0.022325248269","M2":"0.569157045709"}} #-------------------- # Species # Species_Name: hartwissiana oak # Species_Code: QUHA #-------------------- # 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 1802 0.906 1803 0.982 1804 1.072 1805 1.317 1806 0.933 1807 0.93 1808 1.091 1809 1.253 1810 1.122 1811 1.496 1812 1.246 1813 1.23 1814 1.402 1815 0.985 1816 1.346 1817 1.345 1818 0.895 1819 0.919 1820 0.844 1821 0.907 1822 1.051 1823 0.754 1824 0.856 1825 0.753 1826 0.968 1827 0.76 1828 0.788 1829 1.037 1830 0.865 1831 0.821 1832 0.998 1833 0.93 1834 0.574 1835 0.952 1836 0.694 1837 0.97 1838 1.05 1839 1.07 1840 0.695 1841 1.1 1842 0.781 1843 1.173 1844 0.793 1845 0.722 1846 0.859 1847 0.899 1848 1.011 1849 0.859 1850 1.058 1851 0.778 1852 0.971 1853 0.729 1854 1.03 1855 1.025 1856 1.11 1857 1.158 1858 1.311 1859 1.227 1860 1.128 1861 0.846 1862 0.817 1863 0.927 1864 0.951 1865 0.89 1866 0.802 1867 0.978 1868 0.906 1869 0.968 1870 0.969 1871 1.208 1872 1.222 1873 0.916 1874 1.188 1875 0.739 1876 0.903 1877 1.272 1878 1.065 1879 0.968 1880 1.09 1881 1.322 1882 1.176 1883 1.29 1884 1.229 1885 1.237 1886 1.394 1887 0.782 1888 1.028 1889 1.208 1890 0.867 1891 0.949 1892 0.996 1893 0.866 1894 0.835 1895 0.843 1896 1.063 1897 1.263 1898 1.064 1899 1.118 1900 1.261 1901 1.306 1902 1.091 1903 1.492 1904 0.906 1905 0.982 1906 1.424 1907 1.04 1908 0.89 1909 0.964 1910 1.238 1911 1.095 1912 1.047 1913 0.991 1914 1.139 1915 0.743 1916 0.86 1917 1.003 1918 0.991 1919 0.909 1920 1.017 1921 1.12 1922 1.177 1923 1.136 1924 1.14 1925 0.963 1926 1.04 1927 0.692 1928 0.728 1929 0.797 1930 0.566 1931 0.908 1932 0.857 1933 0.818 1934 0.834 1935 0.715 1936 1.091 1937 0.848 1938 0.712 1939 0.927 1940 0.93 1941 0.72 1942 0.768 1943 0.944 1944 0.921 1945 0.774 1946 0.858 1947 0.558 1948 0.845 1949 0.856 1950 1.007 1951 0.968 1952 0.899 1953 0.843 1954 1.199 1955 0.617 1956 0.915 1957 0.734 1958 1.071 1959 1.125 1960 1.155 1961 1.071 1962 0.903 1963 1.097 1964 1.201 1965 0.905 1966 1.004 1967 0.942 1968 0.795 1969 0.819 1970 1.148 1971 1.181 1972 1.2 1973 1.325 1974 1.0 1975 1.089 1976 0.971 1977 0.887 1978 0.985 1979 1.152 1980 1.002 1981 0.783 1982 0.952 1983 1.02 1984 0.942 1985 1.09 1986 1.164 1987 1.024 1988 1.081 1989 1.04 1990 0.936 1991 1.124 1992 0.864 1993 0.808 1994 0.837 1995 0.834 1996 1.087 1997 1.015 1998 1.209 1999 1.262 2000 1.07 2001 1.076 2002 1.087 2003 0.915