# europe_turk022 - Oltu 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/4235 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk022 - Oltu 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: Oltu Forest # Location: # Country: Turkey # Northernmost_Latitude: 40.55 # Southernmost_Latitude: 40.55 # Easternmost_Longitude: 41.98 # Westernmost_Longitude: 41.98 # Elevation: 2100 m #-------------------- # Data_Collection # Collection_Name: europe_turk022B # Earliest_Year: 1792 # Most_Recent_Year: 2001 # 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":"4.75676063849","T2":"16.155874885","M1":"0.0216058168409","M2":"0.535346921965"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1792 1.16 1793 1.099 1794 0.966 1795 1.191 1796 0.838 1797 0.757 1798 1.015 1799 1.287 1800 1.022 1801 0.92 1802 0.917 1803 0.92 1804 0.999 1805 1.179 1806 1.041 1807 1.072 1808 0.952 1809 1.026 1810 1.261 1811 1.714 1812 1.066 1813 0.859 1814 1.11 1815 1.059 1816 0.998 1817 1.072 1818 1.149 1819 0.873 1820 0.92 1821 1.253 1822 0.818 1823 0.864 1824 0.994 1825 0.887 1826 0.955 1827 0.969 1828 0.976 1829 0.852 1830 0.942 1831 1.068 1832 0.811 1833 0.925 1834 0.994 1835 1.338 1836 1.165 1837 1.141 1838 1.199 1839 0.802 1840 0.87 1841 1.036 1842 0.779 1843 1.196 1844 1.136 1845 0.947 1846 1.203 1847 1.281 1848 1.234 1849 1.371 1850 1.206 1851 0.842 1852 0.868 1853 0.873 1854 0.921 1855 1.077 1856 0.768 1857 0.473 1858 0.667 1859 0.812 1860 0.859 1861 0.89 1862 0.831 1863 1.048 1864 1.207 1865 1.381 1866 1.209 1867 1.088 1868 1.082 1869 0.918 1870 1.01 1871 1.207 1872 0.946 1873 0.857 1874 0.933 1875 1.11 1876 1.036 1877 1.014 1878 1.211 1879 1.146 1880 0.99 1881 1.276 1882 1.054 1883 1.281 1884 1.052 1885 1.239 1886 1.044 1887 1.012 1888 1.074 1889 1.332 1890 0.904 1891 1.299 1892 0.768 1893 0.893 1894 0.668 1895 1.005 1896 0.863 1897 0.884 1898 0.783 1899 0.741 1900 0.914 1901 1.05 1902 0.827 1903 1.205 1904 1.228 1905 1.104 1906 1.126 1907 0.98 1908 0.912 1909 0.658 1910 1.046 1911 0.878 1912 0.742 1913 0.788 1914 0.794 1915 0.844 1916 0.857 1917 1.043 1918 0.696 1919 0.741 1920 0.881 1921 0.877 1922 1.155 1923 1.222 1924 1.113 1925 1.043 1926 1.051 1927 1.179 1928 0.84 1929 1.035 1930 1.451 1931 1.35 1932 0.836 1933 0.887 1934 0.983 1935 0.81 1936 1.04 1937 1.014 1938 0.87 1939 1.097 1940 1.534 1941 1.03 1942 1.055 1943 0.917 1944 0.918 1945 0.692 1946 0.663 1947 0.853 1948 0.762 1949 0.58 1950 0.878 1951 1.095 1952 0.997 1953 1.108 1954 1.086 1955 0.694 1956 0.506 1957 0.681 1958 0.608 1959 0.898 1960 1.02 1961 0.852 1962 1.166 1963 1.257 1964 0.988 1965 0.97 1966 0.87 1967 1.24 1968 1.025 1969 0.764 1970 1.075 1971 1.302 1972 1.099 1973 1.181 1974 0.752 1975 1.092 1976 1.086 1977 1.08 1978 0.839 1979 1.071 1980 1.018 1981 1.071 1982 0.735 1983 0.868 1984 0.715 1985 0.656 1986 0.917 1987 0.916 1988 1.094 1989 0.814 1990 0.934 1991 1.103 1992 0.892 1993 0.769 1994 0.965 1995 1.012 1996 0.739 1997 0.783 1998 1.229 1999 0.965 2000 0.698 2001 0.746