# europe_turk023 - Gazipasa Forest - 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/4234 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk023 - Gazipasa Forest - 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: Gazipasa Forest # Location: # Country: Turkey # Northernmost_Latitude: 36.45 # Southernmost_Latitude: 36.45 # Easternmost_Longitude: 32.52 # Westernmost_Longitude: 32.52 # Elevation: 1580 m #-------------------- # Data_Collection # Collection_Name: europe_turk023B # Earliest_Year: 1613 # Most_Recent_Year: 2000 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.43694898175","T2":"15.2486102254","M1":"0.0218206711743","M2":"0.162915084532"}} #-------------------- # 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 1613 0.829 1614 0.902 1615 0.831 1616 0.839 1617 1.029 1618 0.938 1619 0.787 1620 1.036 1621 0.936 1622 1.11 1623 1.063 1624 0.824 1625 1.086 1626 1.003 1627 1.048 1628 0.802 1629 0.76 1630 0.74 1631 0.915 1632 1.024 1633 0.915 1634 1.153 1635 0.929 1636 0.838 1637 0.885 1638 1.091 1639 1.032 1640 1.092 1641 1.089 1642 1.176 1643 1.139 1644 1.091 1645 1.034 1646 1.259 1647 1.228 1648 1.008 1649 1.08 1650 0.932 1651 0.88 1652 0.822 1653 0.776 1654 1.045 1655 1.298 1656 1.033 1657 0.883 1658 0.808 1659 0.783 1660 0.753 1661 0.721 1662 0.898 1663 0.968 1664 0.974 1665 1.21 1666 1.076 1667 1.25 1668 1.068 1669 0.845 1670 0.601 1671 0.47 1672 0.294 1673 0.502 1674 0.565 1675 0.797 1676 0.815 1677 0.801 1678 1.102 1679 1.01 1680 1.018 1681 1.555 1682 1.767 1683 0.979 1684 1.235 1685 0.905 1686 1.341 1687 1.44 1688 0.975 1689 1.125 1690 0.981 1691 1.057 1692 1.048 1693 0.767 1694 0.704 1695 0.9 1696 0.99 1697 1.026 1698 1.143 1699 0.975 1700 0.872 1701 0.869 1702 1.003 1703 1.085 1704 1.183 1705 1.124 1706 0.651 1707 0.38 1708 0.452 1709 0.975 1710 0.796 1711 0.912 1712 1.095 1713 1.135 1714 0.784 1715 0.571 1716 0.788 1717 1.298 1718 0.922 1719 1.092 1720 1.26 1721 1.348 1722 1.02 1723 0.914 1724 1.022 1725 0.655 1726 0.752 1727 1.107 1728 1.19 1729 1.122 1730 1.022 1731 0.963 1732 1.076 1733 1.242 1734 1.061 1735 1.209 1736 1.231 1737 1.349 1738 1.247 1739 1.41 1740 1.09 1741 0.939 1742 1.255 1743 1.082 1744 1.427 1745 0.993 1746 0.803 1747 0.96 1748 0.954 1749 0.861 1750 0.719 1751 0.875 1752 0.982 1753 1.117 1754 1.102 1755 1.302 1756 1.133 1757 1.161 1758 0.868 1759 0.836 1760 0.97 1761 1.039 1762 1.271 1763 1.189 1764 1.11 1765 1.432 1766 1.596 1767 1.453 1768 1.015 1769 0.961 1770 0.841 1771 0.81 1772 0.757 1773 1.003 1774 0.977 1775 1.033 1776 0.98 1777 1.075 1778 0.998 1779 0.693 1780 0.965 1781 0.854 1782 0.863 1783 0.933 1784 1.039 1785 0.769 1786 0.811 1787 0.81 1788 1.183 1789 0.888 1790 0.709 1791 1.204 1792 1.237 1793 1.146 1794 0.811 1795 1.064 1796 1.185 1797 0.935 1798 0.853 1799 0.992 1800 1.148 1801 0.982 1802 0.892 1803 0.852 1804 1.016 1805 0.781 1806 0.541 1807 0.682 1808 0.528 1809 0.901 1810 0.872 1811 0.945 1812 0.85 1813 0.831 1814 0.966 1815 1.021 1816 1.19 1817 1.236 1818 1.264 1819 1.075 1820 1.158 1821 1.34 1822 1.135 1823 0.923 1824 0.972 1825 0.951 1826 0.903 1827 1.028 1828 1.014 1829 0.959 1830 0.726 1831 0.926 1832 1.02 1833 1.077 1834 1.005 1835 1.156 1836 0.934 1837 0.893 1838 1.004 1839 1.051 1840 0.78 1841 1.103 1842 1.032 1843 0.959 1844 0.777 1845 0.968 1846 1.035 1847 0.928 1848 1.12 1849 1.005 1850 0.726 1851 0.604 1852 0.477 1853 1.055 1854 0.758 1855 1.036 1856 0.916 1857 0.846 1858 0.846 1859 0.818 1860 0.84 1861 0.903 1862 1.011 1863 0.975 1864 0.971 1865 1.039 1866 1.005 1867 0.948 1868 0.718 1869 0.749 1870 0.788 1871 0.878 1872 0.914 1873 0.987 1874 0.817 1875 0.684 1876 0.816 1877 0.84 1878 0.609 1879 0.692 1880 0.672 1881 0.783 1882 0.882 1883 0.876 1884 0.809 1885 0.967 1886 0.958 1887 0.6 1888 0.823 1889 0.947 1890 0.817 1891 0.798 1892 0.993 1893 0.693 1894 0.688 1895 0.854 1896 0.692 1897 1.117 1898 0.892 1899 0.505 1900 0.685 1901 0.777 1902 0.749 1903 0.716 1904 0.914 1905 0.771 1906 0.636 1907 0.648 1908 0.785 1909 0.633 1910 0.543 1911 0.649 1912 0.668 1913 0.639 1914 0.776 1915 1.066 1916 0.771 1917 0.719 1918 0.596 1919 0.839 1920 0.939 1921 0.983 1922 0.849 1923 0.633 1924 0.709 1925 0.692 1926 0.562 1927 0.533 1928 0.724 1929 0.803 1930 1.293 1931 0.98 1932 0.885 1933 0.894 1934 0.965 1935 0.891 1936 0.982 1937 1.071 1938 0.837 1939 0.989 1940 1.493 1941 1.061 1942 0.735 1943 0.9 1944 0.938 1945 0.795 1946 1.049 1947 1.184 1948 1.038 1949 0.816 1950 1.006 1951 1.065 1952 1.024 1953 1.126 1954 1.214 1955 1.293 1956 0.996 1957 1.257 1958 1.491 1959 1.336 1960 1.609 1961 1.193 1962 1.269 1963 1.11 1964 1.063 1965 1.108 1966 1.14 1967 1.232 1968 1.065 1969 1.201 1970 1.096 1971 1.061 1972 1.63 1973 1.544 1974 1.531 1975 1.618 1976 1.505 1977 1.783 1978 1.478 1979 1.179 1980 1.132 1981 1.189 1982 1.231 1983 0.942 1984 1.247 1985 0.994 1986 1.044 1987 1.137 1988 1.255 1989 1.186 1990 1.003 1991 1.038 1992 1.172 1993 1.283 1994 1.077 1995 0.829 1996 0.877 1997 1.115 1998 1.356 1999 1.098 2000 0.807