# europe_turk037 - Kirazli - 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/5555 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk037 - Kirazli - 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: Kirazli # Location: # Country: Turkey # Northernmost_Latitude: 39.33 # Southernmost_Latitude: 39.33 # Easternmost_Longitude: 29.08 # Westernmost_Longitude: 29.08 # Elevation: 1650 m #-------------------- # Data_Collection # Collection_Name: europe_turk037B # Earliest_Year: 1818 # Most_Recent_Year: 2002 # 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":"3.48597426259","T2":"14.1418309364","M1":"0.0225930089846","M2":"0.54986524417"}} #-------------------- # Species # Species_Name: Austrian pine # Species_Code: PINI #-------------------- # 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 1818 0.936 1819 0.859 1820 0.775 1821 0.94 1822 0.876 1823 0.658 1824 0.9 1825 1.052 1826 1.088 1827 1.131 1828 0.961 1829 1.176 1830 0.892 1831 1.012 1832 0.892 1833 1.261 1834 0.928 1835 1.25 1836 1.204 1837 1.291 1838 1.274 1839 1.122 1840 0.592 1841 1.008 1842 0.873 1843 0.744 1844 0.825 1845 0.989 1846 1.274 1847 1.158 1848 1.273 1849 0.834 1850 0.954 1851 0.696 1852 0.594 1853 0.897 1854 0.844 1855 1.02 1856 0.902 1857 1.213 1858 1.05 1859 1.304 1860 1.216 1861 0.899 1862 0.919 1863 0.894 1864 0.971 1865 1.07 1866 1.086 1867 0.881 1868 0.766 1869 0.769 1870 0.678 1871 0.915 1872 0.976 1873 1.024 1874 0.875 1875 0.927 1876 1.484 1877 1.218 1878 0.782 1879 0.999 1880 1.089 1881 1.059 1882 1.082 1883 1.045 1884 1.182 1885 1.284 1886 0.927 1887 0.659 1888 1.021 1889 0.997 1890 0.711 1891 1.227 1892 0.926 1893 0.558 1894 0.592 1895 0.486 1896 0.747 1897 0.972 1898 0.848 1899 0.802 1900 1.07 1901 1.376 1902 1.0 1903 1.154 1904 1.083 1905 1.085 1906 1.15 1907 0.906 1908 0.832 1909 0.816 1910 1.063 1911 0.809 1912 0.901 1913 1.276 1914 1.314 1915 0.98 1916 0.668 1917 1.049 1918 0.973 1919 1.147 1920 1.25 1921 1.091 1922 1.197 1923 1.129 1924 0.961 1925 0.907 1926 0.788 1927 0.606 1928 0.606 1929 0.666 1930 0.751 1931 0.582 1932 0.642 1933 0.728 1934 0.868 1935 0.62 1936 1.168 1937 1.215 1938 0.831 1939 1.222 1940 1.422 1941 1.305 1942 0.906 1943 1.224 1944 1.217 1945 0.747 1946 1.032 1947 0.839 1948 0.799 1949 0.87 1950 0.922 1951 1.093 1952 0.959 1953 1.142 1954 0.868 1955 0.864 1956 0.777 1957 0.817 1958 0.914 1959 1.156 1960 1.143 1961 0.833 1962 0.897 1963 1.27 1964 0.941 1965 1.136 1966 1.009 1967 0.916 1968 0.926 1969 0.928 1970 1.169 1971 1.093 1972 1.221 1973 1.086 1974 1.074 1975 1.702 1976 1.143 1977 1.073 1978 1.133 1979 1.365 1980 1.081 1981 1.177 1982 1.104 1983 1.245 1984 0.962 1985 0.756 1986 0.947 1987 0.721 1988 0.698 1989 0.603 1990 0.656 1991 0.914 1992 0.913 1993 0.829 1994 0.82 1995 0.528 1996 0.672 1997 0.91 1998 1.199 1999 1.318 2000 1.14 2001 2.182 2002 1.908