# europe_brit042 - Shanes Castle - 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/2675 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_brit042 - Shanes Castle - 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: Shanes Castle # Location: # Country: United Kingdom # Northernmost_Latitude: 54.73 # Southernmost_Latitude: 54.73 # Easternmost_Longitude: -6.27 # Westernmost_Longitude: -6.27 # Elevation: 40 m #-------------------- # Data_Collection # Collection_Name: europe_brit042B # Earliest_Year: 1744 # Most_Recent_Year: 1983 # 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":"5.76432995254","T2":"15.9462244383","M1":"0.0219693230807","M2":"0.426394402206"}} #-------------------- # Species # Species_Name: oak # Species_Code: QUSP #-------------------- # 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 1744 1.357 1745 1.016 1746 1.054 1747 1.131 1748 0.819 1749 1.409 1750 1.284 1751 1.097 1752 1.152 1753 1.066 1754 1.017 1755 1.443 1756 1.294 1757 1.062 1758 0.916 1759 0.849 1760 1.007 1761 1.04 1762 1.116 1763 1.542 1764 1.178 1765 0.92 1766 1.141 1767 0.954 1768 1.288 1769 1.072 1770 1.035 1771 0.987 1772 1.271 1773 1.104 1774 0.816 1775 0.719 1776 1.068 1777 0.976 1778 0.947 1779 0.833 1780 0.874 1781 0.934 1782 0.753 1783 0.678 1784 1.092 1785 0.707 1786 0.906 1787 0.669 1788 1.066 1789 1.402 1790 1.061 1791 0.854 1792 1.102 1793 0.695 1794 0.425 1795 0.615 1796 0.466 1797 0.735 1798 0.953 1799 1.143 1800 0.816 1801 0.589 1802 0.639 1803 0.58 1804 0.728 1805 0.885 1806 0.751 1807 0.934 1808 0.802 1809 0.695 1810 0.703 1811 1.061 1812 1.16 1813 0.962 1814 1.02 1815 0.802 1816 0.735 1817 0.457 1818 1.035 1819 1.181 1820 1.06 1821 0.6 1822 0.894 1823 1.006 1824 0.709 1825 0.801 1826 1.012 1827 0.773 1828 0.897 1829 1.294 1830 0.901 1831 1.216 1832 0.962 1833 1.049 1834 1.416 1835 1.152 1836 0.955 1837 0.789 1838 0.934 1839 0.806 1840 0.469 1841 0.714 1842 1.059 1843 0.808 1844 0.692 1845 1.146 1846 1.25 1847 1.237 1848 1.259 1849 0.959 1850 1.175 1851 0.932 1852 0.955 1853 0.86 1854 1.214 1855 1.147 1856 0.984 1857 0.958 1858 1.21 1859 0.93 1860 1.118 1861 1.068 1862 1.263 1863 0.897 1864 1.186 1865 1.317 1866 1.211 1867 1.183 1868 1.123 1869 0.866 1870 1.238 1871 1.355 1872 1.039 1873 1.252 1874 1.11 1875 1.254 1876 0.965 1877 0.782 1878 1.012 1879 1.098 1880 0.7 1881 0.9 1882 1.254 1883 1.023 1884 1.034 1885 0.818 1886 1.134 1887 0.985 1888 0.889 1889 0.957 1890 1.287 1891 1.071 1892 1.229 1893 0.909 1894 0.742 1895 1.387 1896 1.218 1897 1.538 1898 0.886 1899 1.003 1900 1.134 1901 1.197 1902 1.279 1903 1.432 1904 1.309 1905 0.944 1906 0.989 1907 0.933 1908 0.865 1909 0.783 1910 0.836 1911 0.829 1912 0.967 1913 0.927 1914 0.846 1915 0.728 1916 0.857 1917 0.813 1918 0.869 1919 0.865 1920 0.726 1921 0.998 1922 0.972 1923 0.762 1924 0.717 1925 0.627 1926 0.599 1927 0.877 1928 0.631 1929 0.832 1930 0.662 1931 0.851 1932 0.739 1933 0.68 1934 0.734 1935 0.961 1936 1.067 1937 0.935 1938 0.877 1939 1.328 1940 1.105 1941 1.399 1942 1.011 1943 0.843 1944 0.857 1945 1.148 1946 1.15 1947 1.467 1948 1.037 1949 0.775 1950 1.028 1951 0.976 1952 0.894 1953 0.937 1954 0.772 1955 0.9 1956 0.664 1957 0.761 1958 1.001 1959 0.971 1960 1.201 1961 0.93 1962 1.034 1963 1.143 1964 1.14 1965 0.955 1966 1.01 1967 0.898 1968 0.872 1969 0.952 1970 0.735 1971 0.648 1972 0.559 1973 0.621 1974 0.579 1975 0.7 1976 0.692 1977 0.979 1978 0.863 1979 0.966 1980 0.79 1981 0.927 1982 1.054 1983 0.827