# europe_turk034 - Around Pinarbasi - 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/2661 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk034 - Around Pinarbasi - 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: Around Pinarbasi # Location: # Country: Turkey # Northernmost_Latitude: 41.5 # Southernmost_Latitude: 41.5 # Easternmost_Longitude: 33.0 # Westernmost_Longitude: 33.0 # Elevation: 1050 m #-------------------- # Data_Collection # Collection_Name: europe_turk034B # Earliest_Year: 1634 # 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":"3.90901398696","T2":"15.7401647512","M1":"0.0229736750373","M2":"0.558261288011"}} #-------------------- # Species # Species_Name: oak # Species_Code: QUSP #-------------------- # 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 1634 0.941 1635 0.952 1636 0.95 1637 0.884 1638 1.441 1639 1.305 1640 1.284 1641 1.491 1642 1.141 1643 1.221 1644 1.193 1645 1.022 1646 1.133 1647 1.017 1648 1.081 1649 0.974 1650 1.072 1651 1.053 1652 0.98 1653 0.978 1654 0.992 1655 1.147 1656 1.063 1657 0.957 1658 0.991 1659 1.025 1660 0.775 1661 1.081 1662 1.233 1663 0.868 1664 0.945 1665 1.169 1666 1.016 1667 1.068 1668 1.022 1669 0.77 1670 0.966 1671 0.98 1672 0.808 1673 1.134 1674 1.166 1675 1.107 1676 0.854 1677 1.015 1678 1.113 1679 0.875 1680 1.104 1681 1.147 1682 0.996 1683 0.977 1684 1.107 1685 1.132 1686 1.153 1687 0.635 1688 0.899 1689 1.232 1690 1.096 1691 1.329 1692 0.819 1693 1.003 1694 1.16 1695 0.998 1696 0.74 1697 0.667 1698 1.09 1699 0.795 1700 0.983 1701 0.657 1702 1.009 1703 0.931 1704 1.082 1705 0.961 1706 1.03 1707 0.789 1708 0.737 1709 1.315 1710 1.044 1711 1.0 1712 1.126 1713 0.934 1714 1.026 1715 0.836 1716 0.898 1717 0.814 1718 0.765 1719 0.92 1720 1.106 1721 0.969 1722 1.042 1723 1.304 1724 0.925 1725 0.876 1726 0.976 1727 1.219 1728 1.096 1729 1.109 1730 1.038 1731 0.944 1732 0.884 1733 1.114 1734 1.228 1735 1.29 1736 1.231 1737 1.09 1738 1.128 1739 0.855 1740 1.232 1741 1.221 1742 0.97 1743 0.905 1744 1.012 1745 0.924 1746 0.664 1747 0.965 1748 0.841 1749 0.914 1750 0.882 1751 1.045 1752 0.868 1753 1.18 1754 1.045 1755 1.115 1756 1.035 1757 0.874 1758 0.849 1759 1.04 1760 1.143 1761 1.076 1762 1.06 1763 1.023 1764 0.963 1765 0.988 1766 1.264 1767 1.117 1768 1.001 1769 0.965 1770 1.056 1771 1.198 1772 0.955 1773 1.032 1774 1.051 1775 1.022 1776 1.015 1777 0.762 1778 1.024 1779 0.91 1780 0.726 1781 0.865 1782 0.715 1783 1.065 1784 0.962 1785 0.935 1786 1.018 1787 0.972 1788 0.831 1789 0.935 1790 0.835 1791 0.849 1792 0.747 1793 1.013 1794 0.931 1795 1.028 1796 0.866 1797 0.738 1798 1.01 1799 0.782 1800 1.037 1801 0.772 1802 0.868 1803 0.838 1804 0.959 1805 0.985 1806 0.883 1807 0.975 1808 0.893 1809 0.964 1810 0.879 1811 1.099 1812 0.92 1813 0.869 1814 1.066 1815 0.725 1816 1.143 1817 0.979 1818 0.79 1819 0.911 1820 0.793 1821 0.801 1822 0.944 1823 0.857 1824 0.908 1825 0.761 1826 0.843 1827 0.766 1828 0.766 1829 1.008 1830 0.796 1831 0.965 1832 0.875 1833 0.882 1834 0.701 1835 0.835 1836 0.682 1837 0.848 1838 0.805 1839 0.871 1840 0.728 1841 0.929 1842 0.77 1843 1.1 1844 0.77 1845 0.843 1846 0.702 1847 0.827 1848 0.794 1849 0.728 1850 0.874 1851 0.739 1852 0.932 1853 0.796 1854 1.015 1855 0.897 1856 0.932 1857 1.073 1858 1.018 1859 0.96 1860 0.876 1861 0.914 1862 0.829 1863 0.999 1864 0.853 1865 0.999 1866 0.681 1867 0.964 1868 0.84 1869 0.771 1870 0.901 1871 1.113 1872 0.859 1873 0.999 1874 0.903 1875 0.777 1876 0.767 1877 1.204 1878 1.131 1879 0.999 1880 0.993 1881 1.123 1882 0.916 1883 1.057 1884 1.154 1885 1.064 1886 1.077 1887 0.727 1888 1.001 1889 1.022 1890 0.9 1891 0.827 1892 0.998 1893 0.861 1894 0.848 1895 0.869 1896 1.023 1897 1.03 1898 0.947 1899 0.957 1900 0.998 1901 1.114 1902 1.0 1903 1.258 1904 0.802 1905 1.086 1906 1.165 1907 1.279 1908 1.037 1909 1.23 1910 1.311 1911 1.173 1912 1.309 1913 1.151 1914 1.25 1915 1.152 1916 1.187 1917 1.074 1918 1.112 1919 1.119 1920 1.259 1921 1.143 1922 1.245 1923 1.213 1924 1.237 1925 1.155 1926 1.162 1927 0.856 1928 0.781 1929 0.957 1930 0.826 1931 1.189 1932 0.876 1933 1.034 1934 0.952 1935 0.803 1936 1.204 1937 0.92 1938 1.052 1939 1.033 1940 1.145 1941 0.961 1942 0.877 1943 1.004 1944 0.933 1945 0.833 1946 0.96 1947 0.675 1948 1.032 1949 0.898 1950 0.991 1951 0.998 1952 1.013 1953 1.082 1954 1.206 1955 0.96 1956 1.073 1957 0.947 1958 1.287 1959 1.224 1960 1.224 1961 1.319 1962 1.11 1963 1.268 1964 1.307 1965 1.081 1966 1.252 1967 1.128 1968 0.933 1969 1.123 1970 1.283 1971 1.342 1972 1.199 1973 1.157 1974 0.986 1975 0.975 1976 1.041 1977 0.958 1978 0.949 1979 1.182 1980 1.063 1981 1.076 1982 1.091 1983 1.179 1984 1.079 1985 0.987 1986 1.011 1987 1.003 1988 1.164 1989 0.812 1990 1.022 1991 1.081 1992 0.851 1993 0.88 1994 0.748 1995 0.916 1996 0.784 1997 0.877 1998 0.833 1999 0.779 2000 0.76 2001 0.743