# europe_ital024 - Fodara Vedla Alm - 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/3558 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_ital024 - Fodara Vedla Alm - 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: Fodara Vedla Alm # Location: # Country: Italy # Northernmost_Latitude: 46.63 # Southernmost_Latitude: 46.63 # Easternmost_Longitude: 12.1 # Westernmost_Longitude: 12.1 # Elevation: 1970 m #-------------------- # Data_Collection # Collection_Name: europe_ital024B # Earliest_Year: 1613 # Most_Recent_Year: 1988 # 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":"3.2469640612","T2":"16.8778695084","M1":"0.0226188577212","M2":"0.40001084516"}} #-------------------- # Species # Species_Name: European larch # Species_Code: LADE #-------------------- # 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 0.793 1614 0.826 1615 1.159 1616 1.389 1617 1.024 1618 0.869 1619 1.223 1620 1.031 1621 1.178 1622 1.132 1623 1.039 1624 1.041 1625 1.149 1626 0.814 1627 0.957 1628 0.431 1629 0.836 1630 1.108 1631 1.08 1632 0.794 1633 0.633 1634 0.787 1635 0.982 1636 0.906 1637 1.267 1638 1.291 1639 0.704 1640 1.178 1641 0.907 1642 0.775 1643 1.105 1644 1.148 1645 1.188 1646 0.966 1647 0.743 1648 0.781 1649 0.93 1650 0.88 1651 1.053 1652 0.936 1653 0.975 1654 0.656 1655 0.941 1656 0.97 1657 0.994 1658 1.162 1659 1.184 1660 0.96 1661 1.192 1662 0.85 1663 0.61 1664 1.027 1665 1.159 1666 1.12 1667 0.876 1668 0.743 1669 0.845 1670 0.814 1671 0.93 1672 0.994 1673 0.907 1674 0.82 1675 0.479 1676 0.846 1677 0.668 1678 1.019 1679 1.218 1680 1.136 1681 1.198 1682 1.131 1683 1.185 1684 1.144 1685 0.807 1686 1.137 1687 1.188 1688 1.005 1689 0.753 1690 0.826 1691 0.869 1692 0.889 1693 0.922 1694 0.99 1695 0.893 1696 0.619 1697 0.696 1698 0.761 1699 0.606 1700 0.831 1701 0.808 1702 0.843 1703 1.0 1704 0.976 1705 0.876 1706 1.166 1707 1.252 1708 0.955 1709 0.807 1710 1.1 1711 1.129 1712 1.249 1713 0.993 1714 1.08 1715 1.125 1716 1.056 1717 0.866 1718 1.025 1719 1.222 1720 1.515 1721 0.729 1722 1.01 1723 0.688 1724 1.198 1725 0.931 1726 1.009 1727 1.061 1728 1.296 1729 1.385 1730 1.028 1731 1.365 1732 0.963 1733 1.048 1734 0.966 1735 0.818 1736 0.93 1737 1.013 1738 1.021 1739 1.504 1740 0.92 1741 0.737 1742 1.054 1743 0.864 1744 1.074 1745 0.953 1746 1.111 1747 0.855 1748 1.29 1749 0.901 1750 0.731 1751 0.936 1752 1.042 1753 0.817 1754 0.963 1755 1.064 1756 1.026 1757 1.051 1758 0.914 1759 0.997 1760 1.127 1761 1.257 1762 0.919 1763 1.2 1764 1.273 1765 0.79 1766 0.949 1767 1.21 1768 1.062 1769 1.132 1770 0.805 1771 0.802 1772 1.002 1773 0.89 1774 0.897 1775 1.142 1776 0.992 1777 0.759 1778 1.029 1779 0.628 1780 1.117 1781 0.949 1782 1.398 1783 0.967 1784 1.607 1785 1.224 1786 1.119 1787 1.04 1788 1.428 1789 0.803 1790 0.865 1791 0.846 1792 0.865 1793 1.067 1794 1.157 1795 0.617 1796 0.846 1797 0.829 1798 1.083 1799 0.803 1800 0.709 1801 0.454 1802 0.864 1803 0.82 1804 0.956 1805 0.771 1806 0.851 1807 1.282 1808 0.888 1809 0.811 1810 0.534 1811 1.073 1812 0.966 1813 0.563 1814 0.627 1815 0.381 1816 0.462 1817 0.927 1818 1.037 1819 0.72 1820 0.802 1821 0.421 1822 1.441 1823 1.198 1824 0.981 1825 0.92 1826 0.939 1827 1.082 1828 1.138 1829 1.112 1830 0.556 1831 0.733 1832 0.464 1833 0.843 1834 0.739 1835 0.844 1836 0.734 1837 0.711 1838 0.662 1839 0.773 1840 0.884 1841 0.474 1842 1.23 1843 0.6 1844 0.752 1845 0.71 1846 0.922 1847 1.009 1848 0.748 1849 0.887 1850 0.545 1851 0.576 1852 0.565 1853 0.79 1854 0.531 1855 0.768 1856 0.911 1857 0.867 1858 1.201 1859 1.048 1860 1.19 1861 1.436 1862 1.414 1863 1.63 1864 1.528 1865 1.194 1866 1.323 1867 1.198 1868 1.247 1869 0.991 1870 1.353 1871 0.884 1872 0.999 1873 1.31 1874 1.465 1875 1.601 1876 1.498 1877 1.41 1878 1.152 1879 1.361 1880 0.957 1881 1.168 1882 0.781 1883 0.93 1884 0.808 1885 1.288 1886 1.12 1887 1.382 1888 1.078 1889 1.25 1890 1.062 1891 1.135 1892 1.249 1893 1.211 1894 1.067 1895 1.104 1896 1.267 1897 1.246 1898 1.033 1899 1.242 1900 1.209 1901 1.318 1902 0.874 1903 0.852 1904 1.49 1905 1.278 1906 1.011 1907 0.955 1908 1.318 1909 0.742 1910 1.007 1911 1.029 1912 1.25 1913 0.632 1914 0.596 1915 1.166 1916 0.883 1917 1.767 1918 1.179 1919 1.243 1920 1.017 1921 1.216 1922 1.627 1923 0.964 1924 1.335 1925 1.265 1926 0.533 1927 1.001 1928 1.133 1929 0.993 1930 1.122 1931 1.328 1932 0.901 1933 0.758 1934 1.023 1935 1.274 1936 0.891 1937 1.073 1938 0.963 1939 0.872 1940 0.666 1941 0.834 1942 0.885 1943 0.975 1944 1.149 1945 1.307 1946 1.045 1947 1.606 1948 0.764 1949 1.176 1950 1.283 1951 1.329 1952 1.168 1953 0.48 1954 0.551 1955 0.605 1956 0.459 1957 0.523 1958 0.903 1959 0.795 1960 0.834 1961 0.448 1962 0.845 1963 0.723 1964 0.899 1965 0.741 1966 0.812 1967 0.86 1968 0.584 1969 0.775 1970 0.944 1971 0.821 1972 0.799 1973 0.905 1974 0.762 1975 0.561 1976 0.624 1977 0.688 1978 0.488 1979 0.886 1980 0.633 1981 0.94 1982 1.14 1983 1.196 1984 1.029 1985 1.02 1986 1.304 1987 1.194 1988 1.377