# europe_spai012 - Siete Picos - 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/3289 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai012 - Siete Picos - 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: Siete Picos # Location: # Country: Spain # Northernmost_Latitude: 40.87 # Southernmost_Latitude: 40.87 # Easternmost_Longitude: -4.1 # Westernmost_Longitude: -4.1 # Elevation: 1950 m #-------------------- # Data_Collection # Collection_Name: europe_spai012B # Earliest_Year: 1612 # 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":"5.51585167416","T2":"17.4752869827","M1":"0.0220902310814","M2":"0.180481099008"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1612 0.815 1613 0.968 1614 0.862 1615 0.968 1616 1.252 1617 1.179 1618 0.93 1619 1.035 1620 1.164 1621 1.134 1622 1.216 1623 1.171 1624 0.791 1625 0.808 1626 0.952 1627 0.8 1628 0.903 1629 1.019 1630 0.973 1631 0.988 1632 0.953 1633 0.856 1634 0.896 1635 0.757 1636 0.872 1637 0.848 1638 0.913 1639 0.787 1640 1.127 1641 1.271 1642 1.467 1643 1.109 1644 1.122 1645 1.361 1646 1.188 1647 1.178 1648 0.789 1649 0.671 1650 0.637 1651 0.558 1652 0.589 1653 0.668 1654 0.958 1655 1.047 1656 1.255 1657 1.246 1658 0.964 1659 0.701 1660 0.913 1661 0.966 1662 0.831 1663 0.803 1664 0.851 1665 1.143 1666 0.932 1667 1.048 1668 1.223 1669 1.388 1670 1.068 1671 1.221 1672 1.257 1673 0.857 1674 0.903 1675 0.773 1676 0.877 1677 0.978 1678 0.943 1679 0.802 1680 1.004 1681 1.117 1682 0.921 1683 0.757 1684 0.803 1685 0.941 1686 0.994 1687 0.93 1688 1.01 1689 0.702 1690 0.852 1691 0.864 1692 0.927 1693 0.755 1694 0.774 1695 0.992 1696 0.971 1697 1.045 1698 0.642 1699 0.835 1700 1.032 1701 0.893 1702 0.976 1703 0.832 1704 0.77 1705 0.866 1706 1.028 1707 1.059 1708 0.782 1709 0.913 1710 0.824 1711 0.884 1712 0.918 1713 1.051 1714 1.031 1715 1.066 1716 1.433 1717 1.17 1718 0.958 1719 0.97 1720 0.926 1721 0.983 1722 0.932 1723 0.695 1724 0.874 1725 0.99 1726 1.015 1727 1.076 1728 0.926 1729 0.811 1730 0.933 1731 0.956 1732 1.029 1733 1.029 1734 1.323 1735 1.283 1736 1.135 1737 1.23 1738 1.252 1739 1.112 1740 0.801 1741 0.695 1742 0.871 1743 0.837 1744 0.89 1745 0.933 1746 0.887 1747 1.0 1748 1.118 1749 1.032 1750 0.938 1751 1.025 1752 0.875 1753 1.013 1754 0.934 1755 0.955 1756 0.92 1757 1.116 1758 1.032 1759 1.22 1760 1.027 1761 1.1 1762 1.424 1763 1.219 1764 1.359 1765 1.215 1766 1.07 1767 1.098 1768 1.087 1769 1.037 1770 0.842 1771 0.717 1772 0.929 1773 1.103 1774 0.928 1775 1.097 1776 1.069 1777 0.934 1778 0.937 1779 1.029 1780 1.288 1781 1.322 1782 1.272 1783 1.062 1784 0.907 1785 1.029 1786 1.01 1787 1.189 1788 1.521 1789 1.136 1790 1.099 1791 1.37 1792 1.208 1793 1.512 1794 1.493 1795 1.11 1796 1.007 1797 0.871 1798 1.004 1799 1.028 1800 0.821 1801 0.965 1802 0.916 1803 0.923 1804 0.811 1805 0.977 1806 0.805 1807 1.219 1808 1.036 1809 1.026 1810 1.058 1811 1.244 1812 1.093 1813 1.259 1814 1.391 1815 1.152 1816 1.054 1817 1.031 1818 1.126 1819 1.083 1820 0.992 1821 1.04 1822 1.062 1823 0.909 1824 0.818 1825 0.914 1826 0.948 1827 0.814 1828 0.99 1829 0.602 1830 0.848 1831 0.783 1832 0.955 1833 1.041 1834 1.185 1835 0.978 1836 1.012 1837 1.285 1838 1.035 1839 0.843 1840 0.891 1841 0.923 1842 1.101 1843 0.936 1844 0.849 1845 0.908 1846 1.207 1847 0.931 1848 0.868 1849 1.065 1850 1.098 1851 0.944 1852 0.8 1853 0.834 1854 1.033 1855 0.811 1856 0.894 1857 0.951 1858 1.018 1859 0.983 1860 0.803 1861 0.975 1862 0.831 1863 0.99 1864 1.427 1865 1.078 1866 0.73 1867 0.915 1868 1.107 1869 1.274 1870 1.186 1871 1.196 1872 1.106 1873 1.156 1874 0.981 1875 1.04 1876 0.99 1877 1.042 1878 0.905 1879 0.816 1880 0.903 1881 0.912 1882 0.821 1883 0.738 1884 0.884 1885 1.037 1886 1.0 1887 1.012 1888 1.022 1889 0.55 1890 0.846 1891 0.935 1892 1.004 1893 0.958 1894 0.625 1895 0.694 1896 0.664 1897 0.726 1898 0.797 1899 0.68 1900 0.703 1901 0.712 1902 0.798 1903 0.853 1904 1.143 1905 1.183 1906 1.233 1907 1.047 1908 0.777 1909 0.626 1910 0.698 1911 0.862 1912 0.95 1913 1.073 1914 1.183 1915 1.094 1916 0.94 1917 0.998 1918 1.088 1919 0.954 1920 0.691 1921 0.663 1922 0.897 1923 1.198 1924 0.877 1925 0.88 1926 1.053 1927 0.924 1928 0.675 1929 0.81 1930 0.803 1931 0.932 1932 1.067 1933 1.19 1934 0.889 1935 0.759 1936 0.86 1937 1.031 1938 0.677 1939 0.813 1940 0.865 1941 0.687 1942 0.659 1943 0.91 1944 1.153 1945 1.385 1946 0.979 1947 1.267 1948 0.984 1949 1.057 1950 1.064 1951 1.264 1952 0.708 1953 1.058 1954 1.097 1955 1.258 1956 1.1 1957 1.037 1958 1.173 1959 1.356 1960 1.029 1961 1.016 1962 0.699 1963 0.52 1964 0.94 1965 0.883 1966 0.853 1967 0.758 1968 0.858 1969 0.908 1970 1.003 1971 1.006 1972 1.091 1973 1.322 1974 1.286 1975 1.024 1976 1.515 1977 1.059 1978 0.991 1979 0.947 1980 0.944 1981 1.161 1982 0.956 1983 0.951 1984 0.889 1985 0.799 1986 0.623 1987 0.604 1988 0.644