# europe_turk013 - Aziziye - 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/5123 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk013 - Aziziye - 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: Aziziye # Location: # Country: Turkey # Northernmost_Latitude: 37.42 # Southernmost_Latitude: 37.42 # Easternmost_Longitude: 30.28 # Westernmost_Longitude: 30.28 # Elevation: 1601 m #-------------------- # Data_Collection # Collection_Name: europe_turk013B # Earliest_Year: 1775 # Most_Recent_Year: 2000 # 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":"4.01685637098","T2":"15.3096536768","M1":"0.0223111402009","M2":"0.373488700029"}} #-------------------- # 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 1775 0.904 1776 1.029 1777 0.893 1778 1.055 1779 0.819 1780 1.256 1781 1.056 1782 0.935 1783 1.065 1784 1.132 1785 0.975 1786 0.934 1787 1.071 1788 1.251 1789 1.086 1790 0.944 1791 1.143 1792 1.202 1793 1.01 1794 1.058 1795 1.166 1796 0.82 1797 0.833 1798 0.888 1799 0.993 1800 1.146 1801 0.957 1802 0.924 1803 0.997 1804 1.123 1805 0.921 1806 0.986 1807 1.145 1808 0.966 1809 1.015 1810 1.146 1811 1.234 1812 1.172 1813 1.1 1814 1.022 1815 1.195 1816 1.439 1817 1.217 1818 1.169 1819 0.941 1820 0.942 1821 0.96 1822 1.0 1823 0.911 1824 0.88 1825 0.833 1826 0.938 1827 0.976 1828 1.039 1829 1.071 1830 0.722 1831 0.825 1832 0.901 1833 0.939 1834 0.903 1835 1.199 1836 1.363 1837 1.103 1838 1.11 1839 1.072 1840 0.742 1841 1.032 1842 0.984 1843 0.957 1844 0.997 1845 1.094 1846 1.284 1847 1.028 1848 0.939 1849 0.992 1850 0.969 1851 0.992 1852 0.813 1853 0.919 1854 0.775 1855 1.114 1856 1.16 1857 1.046 1858 1.127 1859 1.387 1860 1.306 1861 1.162 1862 1.029 1863 0.943 1864 1.006 1865 1.015 1866 1.305 1867 1.116 1868 0.732 1869 0.804 1870 0.769 1871 0.748 1872 0.856 1873 0.895 1874 0.665 1875 0.668 1876 1.046 1877 1.035 1878 0.742 1879 0.597 1880 0.767 1881 0.946 1882 0.883 1883 0.872 1884 0.916 1885 1.207 1886 1.072 1887 0.661 1888 0.778 1889 1.191 1890 0.896 1891 0.894 1892 1.137 1893 0.643 1894 0.617 1895 0.743 1896 0.839 1897 0.821 1898 0.689 1899 0.609 1900 0.885 1901 1.151 1902 1.157 1903 0.998 1904 1.049 1905 1.075 1906 1.034 1907 1.047 1908 1.022 1909 0.863 1910 0.952 1911 0.881 1912 1.049 1913 1.087 1914 1.322 1915 1.295 1916 0.966 1917 1.198 1918 1.077 1919 1.238 1920 1.225 1921 1.228 1922 1.273 1923 0.966 1924 0.976 1925 0.981 1926 0.82 1927 0.794 1928 0.622 1929 0.606 1930 1.136 1931 0.969 1932 0.813 1933 0.687 1934 0.991 1935 0.985 1936 1.035 1937 1.176 1938 0.929 1939 1.107 1940 1.333 1941 1.075 1942 0.889 1943 0.887 1944 1.016 1945 0.897 1946 0.746 1947 1.032 1948 0.819 1949 0.724 1950 1.214 1951 1.472 1952 1.057 1953 0.823 1954 0.914 1955 1.125 1956 0.806 1957 0.851 1958 1.03 1959 1.064 1960 1.224 1961 0.958 1962 1.022 1963 1.136 1964 1.116 1965 1.088 1966 1.066 1967 1.094 1968 1.194 1969 1.047 1970 0.95 1971 0.947 1972 1.318 1973 1.246 1974 0.914 1975 1.101 1976 1.092 1977 1.015 1978 0.892 1979 1.153 1980 1.086 1981 1.029 1982 1.102 1983 1.162 1984 1.19 1985 1.028 1986 0.96 1987 0.792 1988 0.879 1989 0.768 1990 0.624 1991 0.801 1992 0.983 1993 1.012 1994 1.001 1995 0.725 1996 0.74 1997 0.99 1998 1.19 1999 0.819 2000 0.654