# europe_turk031 - Circirtepe - 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/5126 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk031 - Circirtepe - 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: Circirtepe # Location: # Country: Turkey # Northernmost_Latitude: 37.63 # Southernmost_Latitude: 37.63 # Easternmost_Longitude: 35.43 # Westernmost_Longitude: 35.43 # Elevation: 1500 m #-------------------- # Data_Collection # Collection_Name: europe_turk031B # Earliest_Year: 1620 # 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":"3.67896591848","T2":"15.6272389504","M1":"0.0224870864585","M2":"0.443952919694"}} #-------------------- # 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 1620 1.326 1621 1.401 1622 1.21 1623 1.207 1624 0.646 1625 1.116 1626 1.198 1627 0.851 1628 0.896 1629 1.077 1630 0.884 1631 1.172 1632 0.975 1633 0.832 1634 1.153 1635 0.957 1636 0.936 1637 0.947 1638 1.431 1639 0.96 1640 1.559 1641 1.29 1642 1.289 1643 1.518 1644 1.319 1645 0.932 1646 1.526 1647 1.224 1648 0.809 1649 0.921 1650 0.671 1651 0.782 1652 0.944 1653 0.796 1654 0.936 1655 0.961 1656 0.973 1657 0.928 1658 0.964 1659 0.828 1660 0.852 1661 1.134 1662 1.157 1663 1.246 1664 0.953 1665 1.333 1666 1.112 1667 1.294 1668 0.867 1669 1.028 1670 0.873 1671 0.86 1672 0.722 1673 1.036 1674 0.787 1675 0.697 1676 0.621 1677 0.906 1678 0.903 1679 0.603 1680 0.525 1681 0.916 1682 0.869 1683 0.705 1684 0.754 1685 0.717 1686 1.048 1687 1.18 1688 0.916 1689 0.943 1690 0.935 1691 1.244 1692 1.383 1693 0.927 1694 1.114 1695 1.055 1696 0.971 1697 1.3 1698 1.298 1699 1.394 1700 1.146 1701 0.967 1702 1.012 1703 0.753 1704 1.013 1705 1.141 1706 1.091 1707 1.424 1708 1.081 1709 1.612 1710 1.302 1711 1.194 1712 1.142 1713 0.877 1714 0.826 1715 0.465 1716 0.735 1717 0.968 1718 1.119 1719 1.076 1720 0.832 1721 1.158 1722 0.787 1723 0.958 1724 0.8 1725 0.782 1726 0.884 1727 0.918 1728 0.943 1729 0.85 1730 0.856 1731 0.663 1732 0.985 1733 1.155 1734 1.319 1735 1.187 1736 1.159 1737 1.22 1738 1.189 1739 1.171 1740 0.995 1741 0.752 1742 0.803 1743 1.135 1744 1.111 1745 1.149 1746 1.156 1747 1.02 1748 1.312 1749 1.144 1750 0.881 1751 0.932 1752 1.196 1753 1.404 1754 1.082 1755 1.457 1756 1.447 1757 1.29 1758 1.129 1759 0.839 1760 1.04 1761 1.077 1762 1.077 1763 0.992 1764 0.725 1765 0.862 1766 0.96 1767 1.12 1768 0.656 1769 0.781 1770 0.579 1771 0.605 1772 0.642 1773 0.804 1774 1.014 1775 1.077 1776 1.23 1777 1.249 1778 1.387 1779 1.22 1780 1.219 1781 0.649 1782 0.783 1783 0.84 1784 0.896 1785 0.978 1786 1.053 1787 0.734 1788 1.177 1789 1.172 1790 0.903 1791 1.458 1792 1.447 1793 1.241 1794 0.885 1795 0.744 1796 0.626 1797 0.886 1798 0.692 1799 0.77 1800 0.933 1801 0.793 1802 0.975 1803 1.064 1804 1.206 1805 1.148 1806 1.158 1807 1.043 1808 1.075 1809 1.127 1810 1.222 1811 1.403 1812 1.435 1813 1.265 1814 1.173 1815 1.044 1816 1.006 1817 1.022 1818 0.99 1819 0.739 1820 0.86 1821 1.073 1822 0.822 1823 0.834 1824 0.899 1825 0.946 1826 0.662 1827 0.795 1828 0.937 1829 1.306 1830 0.974 1831 0.912 1832 0.862 1833 1.183 1834 1.077 1835 1.494 1836 1.271 1837 1.196 1838 1.089 1839 1.039 1840 0.653 1841 0.951 1842 0.764 1843 0.962 1844 0.664 1845 0.638 1846 0.729 1847 0.638 1848 0.697 1849 0.944 1850 0.786 1851 0.742 1852 0.481 1853 0.854 1854 0.596 1855 0.731 1856 0.563 1857 0.543 1858 0.695 1859 0.763 1860 0.747 1861 0.731 1862 0.842 1863 0.903 1864 0.934 1865 0.994 1866 1.047 1867 0.758 1868 0.804 1869 1.038 1870 0.47 1871 0.693 1872 1.041 1873 0.82 1874 0.88 1875 0.886 1876 0.921 1877 0.743 1878 0.772 1879 0.63 1880 0.75 1881 0.922 1882 0.902 1883 0.898 1884 0.921 1885 1.014 1886 0.868 1887 0.543 1888 0.898 1889 1.055 1890 0.788 1891 0.69 1892 0.915 1893 0.635 1894 0.578 1895 0.843 1896 0.794 1897 1.156 1898 0.746 1899 0.675 1900 1.073 1901 1.054 1902 1.091 1903 1.297 1904 1.29 1905 1.137 1906 0.967 1907 0.945 1908 0.983 1909 0.609 1910 1.055 1911 0.866 1912 1.13 1913 0.791 1914 1.159 1915 1.399 1916 1.22 1917 1.335 1918 1.118 1919 1.221 1920 1.075 1921 1.317 1922 1.108 1923 0.852 1924 1.104 1925 1.306 1926 1.082 1927 0.899 1928 0.719 1929 0.857 1930 1.293 1931 1.063 1932 0.866 1933 0.832 1934 1.136 1935 0.777 1936 1.062 1937 1.12 1938 0.692 1939 1.066 1940 1.284 1941 0.826 1942 0.784 1943 0.999 1944 0.912 1945 0.675 1946 0.69 1947 0.83 1948 0.753 1949 0.447 1950 0.739 1951 0.846 1952 0.846 1953 0.941 1954 0.918 1955 0.908 1956 0.696 1957 1.028 1958 1.09 1959 0.961 1960 0.949 1961 0.785 1962 0.848 1963 0.957 1964 0.816 1965 0.731 1966 1.066 1967 1.007 1968 1.079 1969 1.179 1970 0.941 1971 0.83 1972 1.226 1973 1.113 1974 1.028 1975 1.312 1976 1.208 1977 1.614 1978 1.528 1979 2.07 1980 0.958 1981 1.483 1982 1.37 1983 1.476 1984 1.493 1985 1.406 1986 1.339 1987 1.448 1988 1.717 1989 1.155 1990 0.635 1991 1.196 1992 1.123 1993 1.095 1994 0.908 1995 1.039 1996 1.049 1997 1.161 1998 1.283 1999 1.191 2000 0.97 2001 1.247