# europe_geor001 - Batsara 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/3799 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_geor001 - Batsara 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: Batsara Forest # Location: # Country: Georgia, Republic of # Northernmost_Latitude: 42.0 # Southernmost_Latitude: 42.0 # Easternmost_Longitude: 45.17 # Westernmost_Longitude: 45.17 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: europe_geor001B # Earliest_Year: 1615 # Most_Recent_Year: 1980 # 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":"3.30890833193","T2":"13.2957219994","M1":"0.022818071917","M2":"0.596611019407"}} #-------------------- # Species # Species_Name: common yew # Species_Code: TABA #-------------------- # 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 1615 0.96 1616 0.938 1617 0.783 1618 0.889 1619 0.916 1620 0.749 1621 0.915 1622 0.933 1623 0.786 1624 0.811 1625 0.991 1626 0.747 1627 0.76 1628 0.672 1629 0.669 1630 0.778 1631 0.764 1632 0.851 1633 0.938 1634 0.955 1635 1.113 1636 1.074 1637 0.987 1638 0.959 1639 1.027 1640 1.218 1641 0.957 1642 0.792 1643 0.697 1644 0.756 1645 0.601 1646 0.632 1647 0.72 1648 0.658 1649 0.714 1650 0.647 1651 0.706 1652 0.642 1653 0.833 1654 0.592 1655 0.821 1656 0.793 1657 0.744 1658 0.839 1659 0.762 1660 0.784 1661 0.981 1662 0.886 1663 0.834 1664 0.748 1665 0.939 1666 0.716 1667 0.774 1668 0.623 1669 0.594 1670 0.659 1671 0.64 1672 0.579 1673 0.665 1674 0.814 1675 0.793 1676 0.67 1677 0.658 1678 0.542 1679 0.519 1680 0.388 1681 0.566 1682 0.926 1683 0.852 1684 0.698 1685 0.79 1686 0.816 1687 0.793 1688 0.723 1689 1.003 1690 0.959 1691 1.134 1692 1.339 1693 1.126 1694 1.512 1695 1.105 1696 0.861 1697 1.105 1698 0.831 1699 0.956 1700 0.977 1701 1.088 1702 0.889 1703 0.711 1704 0.854 1705 1.083 1706 0.838 1707 0.978 1708 0.928 1709 0.842 1710 1.032 1711 1.339 1712 1.35 1713 1.352 1714 0.857 1715 0.596 1716 0.477 1717 0.953 1718 1.145 1719 1.257 1720 1.194 1721 1.312 1722 1.058 1723 0.676 1724 0.826 1725 0.62 1726 0.695 1727 0.722 1728 0.879 1729 0.988 1730 0.874 1731 0.936 1732 0.84 1733 0.574 1734 0.657 1735 0.887 1736 0.985 1737 1.12 1738 1.173 1739 1.09 1740 1.044 1741 1.257 1742 0.925 1743 1.235 1744 1.412 1745 1.433 1746 1.107 1747 1.207 1748 1.11 1749 1.021 1750 0.807 1751 1.06 1752 1.242 1753 1.39 1754 1.476 1755 1.205 1756 1.191 1757 0.98 1758 1.317 1759 1.592 1760 1.71 1761 1.604 1762 1.901 1763 1.374 1764 1.072 1765 1.368 1766 1.072 1767 1.27 1768 1.129 1769 1.317 1770 1.166 1771 1.486 1772 1.585 1773 1.655 1774 1.515 1775 1.47 1776 1.293 1777 1.251 1778 1.487 1779 0.958 1780 0.999 1781 0.822 1782 0.946 1783 0.841 1784 1.044 1785 1.022 1786 1.118 1787 0.802 1788 1.082 1789 1.096 1790 0.982 1791 1.129 1792 1.54 1793 1.161 1794 1.036 1795 1.246 1796 0.997 1797 0.95 1798 1.034 1799 1.079 1800 1.048 1801 0.979 1802 1.018 1803 0.835 1804 0.878 1805 0.665 1806 0.857 1807 1.178 1808 1.225 1809 1.233 1810 1.336 1811 1.198 1812 0.998 1813 0.6 1814 1.047 1815 1.059 1816 1.194 1817 1.273 1818 1.162 1819 0.775 1820 0.679 1821 0.864 1822 1.232 1823 1.34 1824 1.345 1825 1.208 1826 0.986 1827 1.045 1828 1.026 1829 1.056 1830 0.941 1831 1.211 1832 0.898 1833 0.799 1834 0.766 1835 0.8 1836 0.924 1837 1.07 1838 0.935 1839 0.909 1840 0.719 1841 0.976 1842 1.137 1843 1.132 1844 1.163 1845 0.907 1846 1.149 1847 1.194 1848 0.958 1849 0.883 1850 1.051 1851 0.909 1852 1.331 1853 1.265 1854 1.056 1855 1.265 1856 1.054 1857 1.004 1858 0.689 1859 0.871 1860 0.874 1861 1.034 1862 1.222 1863 1.072 1864 0.806 1865 0.918 1866 0.94 1867 0.892 1868 0.802 1869 0.694 1870 0.779 1871 0.829 1872 0.976 1873 0.88 1874 0.849 1875 1.035 1876 0.789 1877 1.122 1878 0.901 1879 1.26 1880 0.896 1881 1.035 1882 0.8 1883 0.843 1884 0.928 1885 1.084 1886 1.089 1887 0.84 1888 1.097 1889 1.093 1890 0.929 1891 0.883 1892 0.954 1893 1.038 1894 1.061 1895 1.234 1896 1.161 1897 1.158 1898 0.989 1899 1.165 1900 1.047 1901 1.338 1902 1.074 1903 0.939 1904 1.102 1905 1.091 1906 1.093 1907 1.2 1908 1.06 1909 0.907 1910 1.025 1911 0.798 1912 0.931 1913 1.031 1914 1.121 1915 1.208 1916 1.226 1917 1.14 1918 1.041 1919 0.935 1920 0.978 1921 0.823 1922 0.985 1923 0.995 1924 1.058 1925 0.817 1926 1.014 1927 0.934 1928 0.775 1929 0.932 1930 0.99 1931 1.134 1932 0.98 1933 0.834 1934 0.788 1935 0.86 1936 0.932 1937 1.031 1938 1.087 1939 1.077 1940 1.161 1941 0.875 1942 0.743 1943 0.762 1944 0.79 1945 0.649 1946 0.655 1947 0.898 1948 0.823 1949 0.577 1950 0.629 1951 0.728 1952 0.876 1953 0.807 1954 0.7 1955 0.787 1956 0.714 1957 0.65 1958 0.847 1959 0.645 1960 0.63 1961 0.459 1962 0.321 1963 0.427 1964 0.447 1965 0.502 1966 0.551 1967 0.51 1968 0.616 1969 0.449 1970 0.663 1971 0.494 1972 0.484 1973 0.684 1974 0.522 1975 0.691 1976 0.606 1977 0.748 1978 0.722 1979 0.634 1980 0.583