# europe_aust002 - Obergurgl - 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/3296 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_aust002 - Obergurgl - 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: Obergurgl # Location: # Country: Austria # Northernmost_Latitude: 46.85 # Southernmost_Latitude: 46.85 # Easternmost_Longitude: 11.02 # Westernmost_Longitude: 11.02 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: europe_aust002B # Earliest_Year: 1642 # Most_Recent_Year: 1971 # 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":"5.95310656557","T2":"17.3397342599","M1":"0.0228854696514","M2":"0.394171661078"}} #-------------------- # Species # Species_Name: Swiss stone pine # Species_Code: PICE #-------------------- # 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 1642 1.205 1643 1.256 1644 1.17 1645 1.227 1646 1.404 1647 0.995 1648 1.117 1649 1.197 1650 1.061 1651 0.902 1652 0.89 1653 0.956 1654 0.883 1655 0.935 1656 1.062 1657 0.984 1658 0.879 1659 0.924 1660 1.01 1661 1.044 1662 1.039 1663 0.895 1664 1.078 1665 1.008 1666 1.165 1667 1.037 1668 0.969 1669 0.966 1670 0.921 1671 1.013 1672 0.923 1673 1.003 1674 0.826 1675 0.704 1676 0.927 1677 0.737 1678 0.816 1679 0.931 1680 0.93 1681 1.068 1682 1.027 1683 1.08 1684 1.107 1685 0.889 1686 0.966 1687 1.2 1688 0.885 1689 0.788 1690 0.824 1691 0.894 1692 0.749 1693 0.658 1694 0.816 1695 0.786 1696 0.836 1697 0.872 1698 0.863 1699 0.792 1700 0.96 1701 0.928 1702 0.873 1703 0.798 1704 0.779 1705 0.844 1706 0.831 1707 0.828 1708 0.88 1709 0.874 1710 1.009 1711 0.991 1712 1.14 1713 1.204 1714 1.1 1715 1.13 1716 1.095 1717 0.797 1718 0.84 1719 1.045 1720 1.07 1721 0.799 1722 0.956 1723 0.998 1724 1.177 1725 1.181 1726 1.362 1727 1.274 1728 1.405 1729 1.222 1730 1.323 1731 1.132 1732 1.196 1733 1.139 1734 1.084 1735 1.033 1736 1.203 1737 1.265 1738 1.273 1739 1.234 1740 1.25 1741 0.804 1742 1.169 1743 0.876 1744 0.82 1745 0.799 1746 0.963 1747 0.799 1748 0.999 1749 0.984 1750 0.828 1751 0.875 1752 0.948 1753 1.037 1754 1.114 1755 1.197 1756 1.139 1757 1.344 1758 0.957 1759 1.167 1760 1.169 1761 1.053 1762 1.004 1763 1.166 1764 0.97 1765 0.74 1766 0.8 1767 0.95 1768 0.758 1769 0.898 1770 0.777 1771 0.866 1772 0.788 1773 0.893 1774 0.982 1775 1.036 1776 1.006 1777 0.862 1778 1.056 1779 0.832 1780 0.975 1781 1.195 1782 0.978 1783 1.138 1784 1.21 1785 0.981 1786 0.928 1787 1.054 1788 1.096 1789 0.969 1790 0.972 1791 1.06 1792 0.826 1793 0.829 1794 1.058 1795 0.913 1796 1.114 1797 1.12 1798 1.024 1799 0.872 1800 0.885 1801 0.906 1802 0.983 1803 1.06 1804 0.96 1805 0.84 1806 0.818 1807 1.066 1808 0.959 1809 0.764 1810 0.727 1811 0.941 1812 0.964 1813 0.629 1814 0.853 1815 0.648 1816 0.597 1817 0.639 1818 0.572 1819 0.701 1820 0.511 1821 0.356 1822 0.808 1823 0.893 1824 0.839 1825 0.865 1826 0.893 1827 1.012 1828 1.009 1829 1.0 1830 0.878 1831 0.886 1832 0.795 1833 0.913 1834 1.046 1835 1.068 1836 0.775 1837 0.879 1838 0.815 1839 0.929 1840 0.931 1841 0.954 1842 0.967 1843 0.672 1844 0.929 1845 0.964 1846 1.1 1847 1.302 1848 1.097 1849 1.035 1850 0.904 1851 0.628 1852 0.852 1853 0.955 1854 0.815 1855 0.735 1856 0.892 1857 0.906 1858 0.795 1859 0.845 1860 0.87 1861 0.961 1862 0.993 1863 1.173 1864 1.048 1865 1.045 1866 1.131 1867 1.154 1868 1.048 1869 1.223 1870 1.127 1871 1.002 1872 0.936 1873 0.935 1874 1.103 1875 1.132 1876 0.956 1877 0.973 1878 0.888 1879 0.844 1880 0.886 1881 1.002 1882 0.868 1883 0.962 1884 0.898 1885 1.012 1886 0.844 1887 0.947 1888 0.88 1889 1.047 1890 0.863 1891 0.815 1892 0.95 1893 0.996 1894 0.953 1895 0.894 1896 0.952 1897 0.805 1898 0.779 1899 0.883 1900 0.958 1901 1.008 1902 0.938 1903 1.146 1904 1.298 1905 1.205 1906 0.925 1907 1.134 1908 1.312 1909 1.095 1910 0.921 1911 1.114 1912 1.063 1913 0.75 1914 0.982 1915 1.024 1916 0.884 1917 1.098 1918 0.771 1919 0.971 1920 0.769 1921 1.17 1922 1.004 1923 1.164 1924 1.077 1925 0.988 1926 0.743 1927 1.11 1928 1.162 1929 1.08 1930 1.049 1931 1.199 1932 1.09 1933 0.912 1934 0.809 1935 1.198 1936 1.098 1937 1.042 1938 1.256 1939 1.266 1940 0.978 1941 0.936 1942 0.973 1943 1.037 1944 1.119 1945 0.921 1946 1.045 1947 1.194 1948 1.039 1949 1.242 1950 1.177 1951 1.307 1952 1.398 1953 1.203 1954 1.056 1955 1.043 1956 0.921 1957 0.857 1958 1.171 1959 1.026 1960 1.007 1961 0.973 1962 0.957 1963 0.908 1964 0.977 1965 0.893 1966 0.984 1967 1.079 1968 1.06 1969 1.174 1970 1.101 1971 1.061