# europe_fran003 - Fontainebleau - 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/4213 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_fran003 - Fontainebleau - 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: Fontainebleau # Location: # Country: France # Northernmost_Latitude: 48.45 # Southernmost_Latitude: 48.45 # Easternmost_Longitude: 2.68 # Westernmost_Longitude: 2.68 # Elevation: 136 m #-------------------- # Data_Collection # Collection_Name: europe_fran003B # Earliest_Year: 1619 # Most_Recent_Year: 1979 # 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":"4.73445048567","T2":"17.0323156189","M1":"0.0226411836272","M2":"0.499934535005"}} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 1619 1.182 1620 1.309 1621 1.249 1622 1.283 1623 1.079 1624 1.087 1625 1.231 1626 1.098 1627 1.311 1628 1.139 1629 1.158 1630 0.938 1631 0.838 1632 1.09 1633 0.948 1634 0.959 1635 1.021 1636 0.733 1637 0.963 1638 1.12 1639 0.866 1640 1.043 1641 0.889 1642 0.931 1643 1.051 1644 1.091 1645 0.935 1646 0.942 1647 0.959 1648 1.042 1649 1.107 1650 1.197 1651 0.976 1652 1.072 1653 1.011 1654 1.195 1655 0.9 1656 1.128 1657 0.876 1658 0.94 1659 0.669 1660 0.932 1661 1.198 1662 0.902 1663 1.092 1664 1.102 1665 1.027 1666 0.858 1667 0.726 1668 0.797 1669 0.765 1670 0.516 1671 0.864 1672 0.803 1673 1.22 1674 1.134 1675 1.198 1676 0.683 1677 1.039 1678 0.841 1679 0.575 1680 0.553 1681 0.584 1682 0.952 1683 1.055 1684 0.674 1685 0.784 1686 0.766 1687 0.933 1688 0.93 1689 1.122 1690 0.999 1691 1.05 1692 0.857 1693 0.941 1694 0.881 1695 0.836 1696 1.13 1697 1.308 1698 1.2 1699 1.103 1700 1.315 1701 1.045 1702 0.802 1703 0.966 1704 1.216 1705 0.835 1706 0.699 1707 0.893 1708 1.052 1709 1.041 1710 0.995 1711 1.097 1712 1.278 1713 1.503 1714 1.051 1715 1.052 1716 1.157 1717 1.213 1718 1.133 1719 0.74 1720 1.027 1721 1.078 1722 0.865 1723 0.804 1724 1.043 1725 1.069 1726 1.05 1727 1.218 1728 0.998 1729 0.962 1730 1.023 1731 0.608 1732 1.074 1733 0.996 1734 0.84 1735 1.049 1736 0.703 1737 0.935 1738 1.289 1739 1.094 1740 1.028 1741 0.761 1742 0.672 1743 1.047 1744 0.903 1745 0.939 1746 1.349 1747 1.317 1748 1.191 1749 0.924 1750 0.934 1751 0.798 1752 0.903 1753 0.71 1754 0.873 1755 0.7 1756 1.068 1757 0.849 1758 0.702 1759 0.725 1760 0.653 1761 0.671 1762 0.498 1763 0.726 1764 0.672 1765 0.701 1766 0.865 1767 0.809 1768 0.807 1769 1.084 1770 1.165 1771 1.135 1772 1.047 1773 0.982 1774 1.039 1775 0.915 1776 0.831 1777 0.914 1778 0.763 1779 0.862 1780 1.075 1781 0.786 1782 0.71 1783 0.805 1784 0.779 1785 0.706 1786 0.781 1787 0.989 1788 0.865 1789 1.056 1790 0.773 1791 0.824 1792 0.972 1793 0.785 1794 0.993 1795 1.049 1796 1.252 1797 1.4 1798 1.025 1799 1.018 1800 1.057 1801 1.131 1802 0.814 1803 0.95 1804 0.838 1805 1.083 1806 0.923 1807 0.914 1808 0.837 1809 0.99 1810 0.865 1811 0.94 1812 0.877 1813 0.978 1814 0.943 1815 0.791 1816 0.969 1817 1.007 1818 0.8 1819 0.898 1820 1.027 1821 1.138 1822 0.807 1823 0.977 1824 0.952 1825 0.826 1826 0.865 1827 0.921 1828 1.014 1829 1.26 1830 1.376 1831 1.282 1832 1.011 1833 0.937 1834 0.854 1835 0.88 1836 1.016 1837 1.1 1838 1.034 1839 1.076 1840 0.932 1841 1.2 1842 1.075 1843 1.152 1844 1.039 1845 1.244 1846 1.101 1847 1.278 1848 1.489 1849 1.143 1850 1.294 1851 0.879 1852 0.862 1853 1.221 1854 0.902 1855 1.136 1856 0.981 1857 0.937 1858 0.754 1859 1.012 1860 1.466 1861 1.267 1862 1.164 1863 0.856 1864 1.052 1865 0.994 1866 1.114 1867 1.054 1868 1.053 1869 1.131 1870 0.62 1871 1.344 1872 1.024 1873 0.969 1874 0.767 1875 1.024 1876 1.091 1877 0.919 1878 1.275 1879 0.919 1880 1.027 1881 1.14 1882 1.326 1883 1.095 1884 0.941 1885 1.011 1886 1.166 1887 0.986 1888 1.096 1889 0.966 1890 1.141 1891 1.196 1892 0.952 1893 0.874 1894 0.966 1895 1.338 1896 0.996 1897 1.016 1898 0.961 1899 0.954 1900 0.786 1901 0.895 1902 0.841 1903 0.947 1904 0.839 1905 0.826 1906 0.636 1907 0.968 1908 0.865 1909 0.917 1910 0.933 1911 0.846 1912 0.968 1913 0.965 1914 1.139 1915 0.886 1916 1.068 1917 1.099 1918 1.07 1919 1.024 1920 0.965 1921 0.747 1922 0.957 1923 0.906 1924 1.09 1925 0.948 1926 1.07 1927 1.124 1928 1.025 1929 1.058 1930 0.885 1931 0.909 1932 1.108 1933 0.948 1934 0.849 1935 0.874 1936 1.087 1937 1.145 1938 0.923 1939 0.89 1940 1.081 1941 0.9 1942 1.01 1943 1.04 1944 0.71 1945 1.055 1946 1.18 1947 1.027 1948 1.189 1949 1.014 1950 1.154 1951 1.202 1952 0.973 1953 0.92 1954 1.052 1955 0.943 1956 0.854 1957 0.975 1958 1.342 1959 0.796 1960 0.918 1961 1.108 1962 0.918 1963 1.088 1964 1.106 1965 1.261 1966 1.241 1967 1.136 1968 1.011 1969 1.2 1970 1.07 1971 1.072 1972 0.887 1973 0.884 1974 0.749 1975 0.762 1976 0.735 1977 0.839 1978 1.044 1979 0.853