# europe_turk012 - Salamut 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/3811 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk012 - Salamut 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: Salamut Forest # Location: # Country: Turkey # Northernmost_Latitude: 38.03 # Southernmost_Latitude: 38.03 # Easternmost_Longitude: 31.8 # Westernmost_Longitude: 31.8 # Elevation: 1400 m #-------------------- # Data_Collection # Collection_Name: europe_turk012B # Earliest_Year: 1765 # Most_Recent_Year: 1995 # 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":"4.0848521517","T2":"15.5877086989","M1":"0.0225805446115","M2":"0.460088158807"}} #-------------------- # 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 1765 1.093 1766 1.116 1767 0.774 1768 0.742 1769 0.795 1770 0.714 1771 1.069 1772 0.844 1773 0.815 1774 0.862 1775 0.85 1776 0.892 1777 0.939 1778 1.283 1779 0.862 1780 1.022 1781 1.026 1782 1.019 1783 1.097 1784 1.03 1785 0.997 1786 0.93 1787 0.743 1788 1.16 1789 0.841 1790 0.794 1791 0.877 1792 0.98 1793 0.857 1794 0.786 1795 0.958 1796 0.672 1797 0.72 1798 0.795 1799 0.802 1800 0.705 1801 0.803 1802 0.612 1803 0.925 1804 0.894 1805 1.016 1806 0.589 1807 0.625 1808 0.845 1809 0.961 1810 0.946 1811 1.341 1812 0.994 1813 0.778 1814 0.876 1815 0.984 1816 1.075 1817 0.87 1818 1.012 1819 0.904 1820 0.745 1821 0.991 1822 0.734 1823 0.8 1824 0.78 1825 0.815 1826 0.587 1827 1.095 1828 0.846 1829 0.871 1830 0.664 1831 0.958 1832 1.026 1833 0.947 1834 0.618 1835 0.791 1836 0.597 1837 0.647 1838 0.775 1839 0.66 1840 0.552 1841 0.933 1842 1.022 1843 1.166 1844 0.835 1845 0.769 1846 1.072 1847 1.263 1848 1.372 1849 1.06 1850 0.62 1851 0.372 1852 0.394 1853 0.819 1854 0.592 1855 0.535 1856 0.323 1857 0.634 1858 0.663 1859 1.004 1860 0.943 1861 1.065 1862 0.794 1863 0.72 1864 1.042 1865 1.318 1866 1.381 1867 1.129 1868 0.528 1869 0.458 1870 0.6 1871 0.979 1872 1.157 1873 1.327 1874 0.829 1875 0.761 1876 1.228 1877 1.413 1878 1.245 1879 0.981 1880 0.86 1881 0.9 1882 1.01 1883 1.259 1884 1.119 1885 1.399 1886 1.091 1887 0.908 1888 0.852 1889 0.977 1890 0.89 1891 0.825 1892 0.717 1893 0.4 1894 0.413 1895 0.697 1896 0.942 1897 1.09 1898 0.768 1899 0.776 1900 1.047 1901 1.342 1902 1.231 1903 1.086 1904 1.245 1905 1.017 1906 0.836 1907 0.692 1908 0.996 1909 0.862 1910 0.859 1911 0.771 1912 0.867 1913 1.113 1914 1.247 1915 1.189 1916 0.903 1917 0.993 1918 1.091 1919 1.417 1920 1.038 1921 1.003 1922 1.386 1923 1.239 1924 1.262 1925 0.991 1926 1.142 1927 1.143 1928 1.09 1929 0.843 1930 1.217 1931 1.175 1932 0.785 1933 0.882 1934 1.146 1935 0.691 1936 0.869 1937 1.088 1938 0.964 1939 1.092 1940 1.136 1941 1.115 1942 1.054 1943 0.634 1944 0.637 1945 0.849 1946 0.93 1947 1.285 1948 0.976 1949 0.56 1950 0.684 1951 1.126 1952 1.3 1953 0.937 1954 0.819 1955 0.954 1956 0.901 1957 0.835 1958 0.903 1959 1.25 1960 1.138 1961 1.008 1962 0.889 1963 1.3 1964 1.45 1965 0.891 1966 1.125 1967 1.145 1968 0.948 1969 1.096 1970 1.291 1971 1.571 1972 1.455 1973 1.416 1974 1.427 1975 1.329 1976 1.334 1977 1.278 1978 1.189 1979 1.478 1980 0.741 1981 0.84 1982 1.096 1983 1.225 1984 1.032 1985 1.111 1986 1.12 1987 1.011 1988 1.181 1989 1.249 1990 1.031 1991 1.39 1992 1.205 1993 0.899 1994 1.135 1995 1.015