# europe_turk009 - Kars Sarikamis - 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/3808 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk009 - Kars Sarikamis - 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: Kars Sarikamis # Location: # Country: Turkey # Northernmost_Latitude: 40.33 # Southernmost_Latitude: 40.33 # Easternmost_Longitude: 42.58 # Westernmost_Longitude: 42.58 # Elevation: 2600 m #-------------------- # Data_Collection # Collection_Name: europe_turk009B # Earliest_Year: 1801 # Most_Recent_Year: 1992 # 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":"3.22720671237","T2":"14.223629591","M1":"0.02282126758","M2":"0.552715869582"}} #-------------------- # 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 1801 0.632 1802 0.831 1803 0.819 1804 0.8 1805 0.956 1806 0.637 1807 0.682 1808 0.912 1809 1.003 1810 1.038 1811 1.326 1812 0.825 1813 0.626 1814 0.865 1815 0.978 1816 0.813 1817 0.968 1818 0.871 1819 0.694 1820 0.77 1821 0.831 1822 0.704 1823 0.945 1824 0.956 1825 1.097 1826 1.289 1827 0.997 1828 1.189 1829 1.1 1830 1.099 1831 1.114 1832 0.939 1833 1.129 1834 1.085 1835 1.212 1836 0.994 1837 1.225 1838 0.826 1839 1.007 1840 0.971 1841 1.183 1842 1.009 1843 1.067 1844 0.926 1845 0.808 1846 0.992 1847 1.061 1848 1.006 1849 1.243 1850 1.105 1851 0.851 1852 0.881 1853 1.063 1854 0.994 1855 1.227 1856 0.804 1857 0.488 1858 0.866 1859 0.996 1860 0.861 1861 0.829 1862 0.772 1863 0.868 1864 0.841 1865 0.948 1866 1.176 1867 0.851 1868 0.839 1869 0.894 1870 0.825 1871 1.101 1872 1.009 1873 0.954 1874 1.066 1875 1.129 1876 0.932 1877 1.024 1878 1.099 1879 1.034 1880 0.906 1881 1.096 1882 0.701 1883 0.866 1884 1.06 1885 1.336 1886 1.091 1887 1.0 1888 1.17 1889 1.206 1890 0.9 1891 1.024 1892 0.807 1893 0.8 1894 0.815 1895 1.055 1896 1.265 1897 1.11 1898 1.082 1899 0.934 1900 0.958 1901 1.156 1902 0.972 1903 1.096 1904 1.057 1905 0.933 1906 1.08 1907 1.187 1908 0.968 1909 0.977 1910 1.36 1911 1.108 1912 1.125 1913 1.076 1914 0.984 1915 1.037 1916 1.229 1917 1.223 1918 1.007 1919 1.312 1920 1.178 1921 1.082 1922 1.035 1923 0.96 1924 0.937 1925 0.957 1926 1.028 1927 1.251 1928 1.331 1929 1.379 1930 1.513 1931 1.243 1932 0.758 1933 1.075 1934 0.866 1935 0.908 1936 1.041 1937 1.161 1938 0.806 1939 0.734 1940 1.186 1941 0.768 1942 0.835 1943 0.923 1944 0.854 1945 0.803 1946 0.662 1947 0.833 1948 0.761 1949 0.689 1950 1.051 1951 1.119 1952 0.961 1953 0.909 1954 0.791 1955 0.599 1956 0.376 1957 0.665 1958 0.723 1959 0.851 1960 0.899 1961 0.737 1962 0.778 1963 0.857 1964 0.861 1965 0.988 1966 0.7 1967 0.923 1968 0.931 1969 0.709 1970 0.797 1971 0.771 1972 0.689 1973 0.71 1974 0.569 1975 0.919 1976 1.044 1977 0.862 1978 0.783 1979 0.791 1980 0.821 1981 1.226 1982 1.047 1983 1.022 1984 1.05 1985 0.937 1986 1.054 1987 1.003 1988 1.093 1989 1.357 1990 1.117 1991 1.109 1992 1.467