# europe_ital015 - Sierra de Crispo - 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/4644 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_ital015 - Sierra de Crispo - 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: Sierra de Crispo # Location: # Country: Italy # Northernmost_Latitude: 39.9 # Southernmost_Latitude: 39.9 # Easternmost_Longitude: 16.23 # Westernmost_Longitude: 16.23 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: europe_ital015B # Earliest_Year: 1643 # Most_Recent_Year: 1980 # 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":"5.4838838415","T2":"15.8734738906","M1":"0.0223083026861","M2":"0.278639772905"}} #-------------------- # Species # Species_Name: Bosnian pine # Species_Code: PILE #-------------------- # 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 1643 1.089 1644 0.922 1645 0.91 1646 1.114 1647 1.37 1648 1.297 1649 1.05 1650 0.928 1651 1.074 1652 0.874 1653 1.141 1654 0.764 1655 0.908 1656 0.995 1657 0.968 1658 0.627 1659 0.911 1660 0.826 1661 0.882 1662 1.044 1663 0.756 1664 0.653 1665 0.713 1666 0.669 1667 0.908 1668 0.657 1669 1.151 1670 1.088 1671 1.279 1672 0.813 1673 0.715 1674 1.11 1675 0.897 1676 0.861 1677 0.737 1678 1.206 1679 1.282 1680 0.694 1681 1.06 1682 1.054 1683 1.063 1684 0.91 1685 0.953 1686 0.929 1687 0.511 1688 0.636 1689 0.664 1690 0.899 1691 0.882 1692 0.819 1693 0.786 1694 0.716 1695 0.737 1696 0.863 1697 0.684 1698 0.918 1699 1.205 1700 0.767 1701 0.628 1702 0.782 1703 0.57 1704 0.885 1705 1.141 1706 1.104 1707 1.358 1708 1.027 1709 1.082 1710 1.2 1711 1.075 1712 1.142 1713 1.003 1714 1.105 1715 1.201 1716 0.658 1717 0.839 1718 0.788 1719 0.882 1720 0.688 1721 0.79 1722 0.859 1723 0.725 1724 0.867 1725 0.624 1726 0.879 1727 0.849 1728 1.105 1729 0.865 1730 0.967 1731 0.986 1732 1.42 1733 1.18 1734 0.95 1735 0.891 1736 1.149 1737 1.066 1738 1.195 1739 0.99 1740 1.121 1741 0.918 1742 0.927 1743 0.806 1744 0.988 1745 1.02 1746 1.032 1747 0.931 1748 1.344 1749 1.38 1750 1.057 1751 1.029 1752 0.7 1753 0.907 1754 0.874 1755 1.257 1756 0.848 1757 1.139 1758 0.697 1759 1.059 1760 0.721 1761 1.124 1762 1.111 1763 0.908 1764 0.85 1765 1.008 1766 1.085 1767 1.118 1768 1.16 1769 1.049 1770 0.671 1771 0.894 1772 0.726 1773 0.743 1774 0.893 1775 0.971 1776 1.095 1777 1.35 1778 1.614 1779 1.351 1780 1.495 1781 1.362 1782 1.041 1783 0.975 1784 1.233 1785 1.037 1786 0.913 1787 0.716 1788 0.911 1789 1.022 1790 1.035 1791 1.127 1792 1.066 1793 1.107 1794 1.372 1795 1.298 1796 1.223 1797 1.304 1798 1.147 1799 1.506 1800 1.174 1801 1.093 1802 0.792 1803 1.265 1804 1.546 1805 0.648 1806 0.758 1807 0.991 1808 0.926 1809 0.607 1810 1.0 1811 0.815 1812 0.827 1813 0.764 1814 1.352 1815 1.12 1816 1.332 1817 1.004 1818 1.626 1819 1.386 1820 1.272 1821 1.042 1822 1.163 1823 0.873 1824 0.8 1825 0.991 1826 1.05 1827 0.95 1828 1.028 1829 1.037 1830 0.924 1831 1.165 1832 1.355 1833 0.739 1834 1.211 1835 1.074 1836 0.676 1837 1.169 1838 0.946 1839 0.913 1840 0.977 1841 1.222 1842 1.479 1843 1.244 1844 0.927 1845 1.093 1846 1.442 1847 1.169 1848 1.061 1849 1.088 1850 0.976 1851 1.281 1852 1.2 1853 0.911 1854 1.067 1855 1.256 1856 0.984 1857 0.974 1858 1.315 1859 1.651 1860 1.36 1861 0.972 1862 1.358 1863 1.007 1864 1.081 1865 1.065 1866 1.161 1867 0.923 1868 0.857 1869 0.964 1870 1.056 1871 1.151 1872 1.362 1873 1.762 1874 0.911 1875 1.304 1876 1.829 1877 1.335 1878 0.944 1879 0.854 1880 0.695 1881 1.172 1882 0.795 1883 1.046 1884 1.246 1885 1.709 1886 0.912 1887 1.254 1888 1.006 1889 1.113 1890 1.291 1891 1.149 1892 1.186 1893 1.123 1894 1.145 1895 1.115 1896 1.145 1897 1.266 1898 1.08 1899 1.473 1900 1.19 1901 1.372 1902 1.407 1903 1.313 1904 1.369 1905 1.192 1906 0.887 1907 0.898 1908 1.011 1909 1.135 1910 0.972 1911 0.983 1912 1.116 1913 1.134 1914 1.075 1915 0.924 1916 0.774 1917 0.896 1918 0.625 1919 0.606 1920 0.596 1921 0.695 1922 0.568 1923 0.582 1924 0.764 1925 0.656 1926 0.612 1927 0.636 1928 0.582 1929 0.445 1930 0.829 1931 0.427 1932 0.584 1933 0.789 1934 0.803 1935 0.625 1936 0.917 1937 0.638 1938 0.519 1939 0.797 1940 0.928 1941 1.069 1942 0.86 1943 1.111 1944 0.963 1945 0.783 1946 1.029 1947 1.17 1948 0.91 1949 0.949 1950 1.152 1951 1.309 1952 1.067 1953 0.944 1954 0.924 1955 0.965 1956 0.91 1957 0.468 1958 0.573 1959 0.535 1960 0.483 1961 0.421 1962 0.578 1963 0.515 1964 0.616 1965 0.369 1966 0.469 1967 0.453 1968 0.617 1969 0.504 1970 0.752 1971 0.657 1972 0.695 1973 0.681 1974 0.696 1975 0.699 1976 0.845 1977 1.046 1978 0.767 1979 0.745 1980 0.6