# europe_brit2 - Maentwrog - 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/3572 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_brit2 - Maentwrog - 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: Maentwrog # Location: # Country: United Kingdom # Northernmost_Latitude: 52.93 # Southernmost_Latitude: 52.93 # Easternmost_Longitude: -3.92 # Westernmost_Longitude: -3.92 # Elevation: 246 m #-------------------- # Data_Collection # Collection_Name: europe_brit2B # Earliest_Year: 1726 # Most_Recent_Year: 1973 # 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":"4.71573553736","T2":"11.9576658846","M1":"0.0224349141418","M2":"0.444534783225"}} #-------------------- # Species # Species_Name: durmast oak # Species_Code: QUPE #-------------------- # 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 1726 0.899 1727 0.952 1728 0.821 1729 0.867 1730 1.15 1731 0.83 1732 0.878 1733 0.933 1734 0.896 1735 1.337 1736 1.122 1737 0.756 1738 1.381 1739 1.218 1740 0.947 1741 0.966 1742 0.846 1743 1.166 1744 1.221 1745 0.854 1746 1.039 1747 1.312 1748 0.909 1749 1.053 1750 0.753 1751 0.847 1752 1.063 1753 0.955 1754 0.934 1755 0.987 1756 0.952 1757 0.959 1758 1.22 1759 1.156 1760 0.929 1761 0.862 1762 0.778 1763 1.008 1764 0.856 1765 0.659 1766 0.871 1767 0.822 1768 1.049 1769 1.167 1770 0.865 1771 0.482 1772 0.534 1773 0.386 1774 0.519 1775 0.756 1776 1.219 1777 1.272 1778 0.999 1779 0.7 1780 1.092 1781 1.414 1782 0.908 1783 0.891 1784 0.945 1785 0.562 1786 0.465 1787 0.42 1788 0.832 1789 1.103 1790 1.0 1791 0.92 1792 0.679 1793 0.943 1794 0.675 1795 0.895 1796 0.791 1797 1.005 1798 1.033 1799 1.093 1800 1.024 1801 0.732 1802 0.709 1803 0.735 1804 0.657 1805 0.965 1806 1.012 1807 1.414 1808 1.474 1809 1.42 1810 1.405 1811 1.731 1812 1.654 1813 1.124 1814 1.225 1815 0.961 1816 0.876 1817 0.721 1818 1.034 1819 1.105 1820 0.742 1821 0.794 1822 0.72 1823 0.877 1824 1.059 1825 1.102 1826 0.755 1827 1.143 1828 1.408 1829 1.69 1830 1.668 1831 1.14 1832 0.516 1833 0.464 1834 0.778 1835 0.938 1836 1.005 1837 1.095 1838 0.977 1839 1.316 1840 0.914 1841 0.499 1842 0.441 1843 0.674 1844 0.735 1845 1.188 1846 1.005 1847 1.457 1848 1.579 1849 1.319 1850 1.162 1851 1.126 1852 0.877 1853 1.116 1854 0.975 1855 0.677 1856 0.661 1857 0.836 1858 1.056 1859 0.932 1860 0.936 1861 1.056 1862 1.179 1863 0.506 1864 0.558 1865 0.675 1866 0.799 1867 1.037 1868 0.751 1869 0.866 1870 0.85 1871 1.342 1872 1.141 1873 0.904 1874 0.876 1875 0.847 1876 0.732 1877 0.606 1878 0.888 1879 1.313 1880 1.546 1881 1.003 1882 0.576 1883 0.813 1884 0.934 1885 1.068 1886 1.048 1887 0.718 1888 0.88 1889 0.639 1890 0.763 1891 0.767 1892 0.638 1893 0.498 1894 0.677 1895 0.939 1896 1.086 1897 1.07 1898 0.996 1899 1.0 1900 1.323 1901 1.185 1902 1.016 1903 0.916 1904 0.923 1905 0.779 1906 0.519 1907 0.884 1908 1.099 1909 1.087 1910 1.307 1911 0.968 1912 1.04 1913 1.203 1914 1.009 1915 1.06 1916 1.103 1917 1.386 1918 1.04 1919 0.793 1920 0.842 1921 0.828 1922 1.094 1923 0.799 1924 0.96 1925 0.973 1926 1.203 1927 1.229 1928 1.253 1929 1.044 1930 0.72 1931 0.547 1932 0.75 1933 0.834 1934 0.76 1935 1.06 1936 1.023 1937 0.794 1938 0.932 1939 0.804 1940 0.673 1941 0.842 1942 1.089 1943 1.049 1944 1.154 1945 1.063 1946 1.102 1947 1.388 1948 1.175 1949 0.816 1950 0.933 1951 1.017 1952 1.009 1953 1.024 1954 0.816 1955 1.009 1956 1.104 1957 1.006 1958 0.83 1959 0.984 1960 1.164 1961 1.264 1962 1.509 1963 1.441 1964 1.433 1965 1.177 1966 0.79 1967 0.765 1968 0.904 1969 0.894 1970 0.779 1971 1.008 1972 0.873 1973 0.964