# europe_turk007 - Istanbul Belgrade 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/3806 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk007 - Istanbul Belgrade 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: Istanbul Belgrade Forest # Location: # Country: Turkey # Northernmost_Latitude: 41.0 # Southernmost_Latitude: 41.0 # Easternmost_Longitude: 29.0 # Westernmost_Longitude: 29.0 # Elevation: 150 m #-------------------- # Data_Collection # Collection_Name: europe_turk007B # Earliest_Year: 1780 # Most_Recent_Year: 1984 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.09674939651","T2":"17.3631015353","M1":"0.0223398246612","M2":"0.463369879441"}} #-------------------- # 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 1780 1.019 1781 0.99 1782 0.823 1783 1.005 1784 0.95 1785 1.148 1786 1.098 1787 0.997 1788 1.345 1789 1.179 1790 1.168 1791 1.004 1792 1.243 1793 1.117 1794 1.158 1795 1.467 1796 1.145 1797 0.99 1798 0.922 1799 0.905 1800 1.012 1801 0.912 1802 0.999 1803 0.962 1804 1.004 1805 1.285 1806 0.925 1807 1.11 1808 0.797 1809 0.702 1810 0.91 1811 1.125 1812 1.13 1813 1.068 1814 1.026 1815 0.856 1816 0.839 1817 0.996 1818 1.052 1819 0.807 1820 0.709 1821 0.799 1822 0.801 1823 0.654 1824 0.606 1825 0.832 1826 0.843 1827 0.864 1828 0.919 1829 0.936 1830 0.719 1831 0.662 1832 0.726 1833 0.786 1834 0.918 1835 1.195 1836 1.205 1837 0.96 1838 1.149 1839 1.037 1840 0.875 1841 1.017 1842 1.128 1843 0.994 1844 1.141 1845 1.02 1846 1.006 1847 1.054 1848 1.158 1849 1.094 1850 0.962 1851 0.624 1852 0.808 1853 0.937 1854 1.186 1855 1.025 1856 1.135 1857 1.189 1858 1.344 1859 1.285 1860 1.308 1861 0.984 1862 0.81 1863 0.87 1864 0.836 1865 1.036 1866 1.066 1867 1.092 1868 0.912 1869 0.965 1870 1.004 1871 1.057 1872 0.914 1873 1.049 1874 1.182 1875 1.018 1876 1.099 1877 1.068 1878 1.07 1879 1.16 1880 1.057 1881 1.147 1882 0.9 1883 0.818 1884 1.021 1885 1.03 1886 1.164 1887 0.907 1888 1.064 1889 1.135 1890 0.981 1891 1.004 1892 1.015 1893 0.9 1894 0.813 1895 0.847 1896 1.039 1897 1.082 1898 1.057 1899 0.858 1900 0.896 1901 1.055 1902 1.062 1903 1.016 1904 1.08 1905 1.025 1906 0.95 1907 0.994 1908 1.12 1909 1.065 1910 0.903 1911 0.988 1912 0.841 1913 1.013 1914 1.133 1915 0.612 1916 0.624 1917 0.908 1918 0.647 1919 0.886 1920 0.745 1921 0.714 1922 0.773 1923 0.883 1924 0.935 1925 0.827 1926 0.823 1927 0.961 1928 0.79 1929 0.802 1930 0.778 1931 0.905 1932 0.906 1933 0.929 1934 0.839 1935 0.895 1936 0.977 1937 0.969 1938 1.031 1939 0.914 1940 0.997 1941 0.884 1942 0.928 1943 1.157 1944 0.957 1945 0.902 1946 0.863 1947 0.879 1948 0.931 1949 1.018 1950 0.924 1951 0.969 1952 1.039 1953 1.079 1954 1.115 1955 0.844 1956 1.068 1957 0.873 1958 0.885 1959 1.16 1960 1.151 1961 1.088 1962 0.972 1963 1.033 1964 1.092 1965 1.03 1966 1.129 1967 1.166 1968 1.068 1969 0.981 1970 1.119 1971 0.985 1972 1.001 1973 1.144 1974 1.322 1975 1.334 1976 1.07 1977 1.114 1978 1.176 1979 1.159 1980 1.275 1981 1.176 1982 0.826 1983 0.837 1984 0.83