# Tiree Passage, Northwest Scotland Glycymeris glycymeris d18O Data from 1799-2010 CE #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite original publication, online resource and date accessed when using this data. # If there is no publication information, please cite Investigator, title, online resource and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/22621 # Description: NOAA Landing Page # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/reynolds2017/reynolds2017-tiree-sgi.txt # Description: NOAA location of the template # # Data_Type: Paleoceanography # # Dataset_DOI: # # Parameter_Keywords: oxygen isotopes, physical properties #--------------------------------------- # Contribution_Date # Date: 2019-02-27 #--------------------------------------- # File_Last_Modified_Date # Date: 2019-02-27 #--------------------------------------- # Title # Study_Name: Tiree Passage, Northwest Scotland Glycymeris glycymeris d18O Data from 1799-2010 CE #--------------------------------------- # Investigators # Investigators: Reynolds, D.J.; Hall, I.R.; Slater, S.; Scourse, J.D.; Halloran, P.R.; Sayer, M.D.J. #--------------------------------------- # Description_Notes_and_Keywords # Description: weighted growing season (March to October) oxygen isotope series from annually resolved growth increments in glycymeris glycymeris shells collected from Tiree Passage (NW Scotland) # G. glycymeris standardized growth index data added to study on 28-Feb-2019. # Provided Keywords: Sclerochronology, North Atlantic, Glycymeris glycymeris, dog cockle, stable isotopes, seawater temperature, reconstruction #--------------------------------------- # Publication # Authors: Reynolds, D.J., Hall, I.R., Slater, S.M., Scourse, J.D., Halloran, P.R., and Sayer, M.D.J. # Published_Date_or_Year: 2017 # Published_Title: Reconstructing past seasonal to multi-centennial scale variability in the NE Atlantic Ocean using the long-lived marine bivalve mollusc Glycymeris glycymeris. # Journal_Name: Paleoceanography # Volume: 32 # Edition: # Issue: # Pages: 1153-1173 # Report_Number: # DOI: 10.1002/2017PA003154 # Online_Resource: # Full_Citation: # Abstract: The lack of long-term, highly resolved (annual to sub-annual) and absolutely dated baseline records of marine variability extending beyond the instrumental period (last ~50-100 years) hinders our ability to develop a comprehensive understanding of the role the ocean plays in the climate system. Specifically, without such records, it remains difficult to fully quantify the range of natural climate variability mediated by the ocean, and to robustly attribute recent changes to anthropogenic or natural drivers. Here we present a 211-year (1799-2010 CE; all dates hereafter are common era) seawater temperature (SWT) reconstruction from the northeast Atlantic Ocean derived from absolutely dated, annually resolved, oxygen isotope ratios recorded in the shell carbonate (d18Oshell) of the long-lived marine bivalve mollusc Glycymeris glycymeris. The annual record was calibrated using sub-annually resolved d18Oshell values drilled from multiple shells covering the instrumental period. Calibration verification statistics and spatial correlation analyses indicate that the d18Oshell record contains significant skill at reconstructing Northeast Atlantic Ocean mean summer SWT variability associated with changes in sub-polar gyre (SPG) dynamics and the North Atlantic Current. Reconciling differences between the d18Oshell data and corresponding growth increment width chronology demonstrates that 68% of the variability in G. glycymeris shell growth can be explained by the combined influence of biological productivity and SWT variability. These data suggest G. glycymeris can provide seasonal to multi-centennial absolutely dated baseline records of past marine variability that will lead to the development of a quantitative understanding of the role the marine environment plays in the global climate system. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: NERC # Grant: NE/N001176/1 #--------------------------------------- # Site_Information # Site_Name: Tiree Passage # Location: North Atlantic Ocean # Country: # Northernmost_Latitude: 56.629167 # Southernmost_Latitude: 56.629167 # Easternmost_Longitude: -6.4 # Westernmost_Longitude: -6.4 # Elevation: #--------------------------------------- # Data_Collection # Collection_Name: Tiree SGI Reynolds2017 # First_Year: 1805 # Last_Year: 2010 # Time_Unit: AD # Core_Length: # Notes: #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # Variables # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) ## Year_CE age,,,year Common Era,,Paleoceanography,,,N,absolutely dated ## SGI growth rate,bivalve,,dimensionless,Mar-Oct,Paleoceanography,composited,,N,Annually resolved Glycymeris glycymeris crossdated growth increment width chronology #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NA Year_CE SGI 1805 0.869 1806 0.756 1807 0.991 1808 0.78 1809 0.939 1810 0.863 1811 0.885 1812 0.958 1813 1.236 1814 1.214 1815 1.038 1816 1.361 1817 1.066 1818 1.225 1819 0.812 1820 1.052 1821 1.188 1822 1.451 1823 0.942 1824 1.086 1825 1.198 1826 1.403 1827 1.272 1828 1.265 1829 1.047 1830 1.057 1831 0.86 1832 0.828 1833 0.897 1834 0.924 1835 0.572 1836 0.673 1837 0.744 1838 0.556 1839 0.763 1840 0.481 1841 0.646 1842 1.095 1843 0.971 1844 1.058 1845 0.966 1846 0.997 1847 0.975 1848 1.092 1849 1.003 1850 1.299 1851 1.303 1852 1.182 1853 1.117 1854 1.066 1855 0.917 1856 0.981 1857 0.95 1858 0.853 1859 0.831 1860 0.745 1861 0.877 1862 0.857 1863 1.008 1864 0.895 1865 0.738 1866 1.047 1867 0.897 1868 0.932 1869 0.809 1870 0.786 1871 0.817 1872 1.019 1873 0.894 1874 0.745 1875 0.878 1876 1.04 1877 0.783 1878 0.732 1879 0.672 1880 1.091 1881 0.883 1882 1.024 1883 1.047 1884 1.108 1885 1.147 1886 1.125 1887 1.015 1888 1.157 1889 1.062 1890 1.061 1891 1.086 1892 0.775 1893 0.81 1894 0.812 1895 0.733 1896 1.119 1897 1.241 1898 1.402 1899 1.269 1900 1.111 1901 1.167 1902 1.286 1903 1.181 1904 1.112 1905 1.339 1906 1.103 1907 1.032 1908 0.839 1909 0.859 1910 0.668 1911 0.844 1912 0.907 1913 0.878 1914 1.074 1915 0.958 1916 0.964 1917 1.025 1918 1.171 1919 1.223 1920 1.056 1921 1.241 1922 1.339 1923 1.048 1924 0.911 1925 0.913 1926 0.96 1927 0.935 1928 0.929 1929 1.096 1930 0.993 1931 0.806 1932 1.234 1933 1.355 1934 1.31 1935 1.259 1936 1.238 1937 1.23 1938 1.431 1939 1.285 1940 1.105 1941 0.938 1942 1.064 1943 1.158 1944 1.279 1945 1.243 1946 1.075 1947 0.976 1948 0.982 1949 1.007 1950 0.811 1951 0.861 1952 0.985 1953 1.072 1954 0.948 1955 1.018 1956 1.017 1957 1.081 1958 0.994 1959 1.025 1960 1.067 1961 1.032 1962 0.958 1963 0.96 1964 0.92 1965 0.923 1966 0.968 1967 1.029 1968 0.949 1969 0.803 1970 0.801 1971 0.873 1972 0.974 1973 1.133 1974 1.198 1975 1.172 1976 0.946 1977 0.909 1978 0.913 1979 0.893 1980 0.854 1981 0.878 1982 0.845 1983 0.875 1984 0.826 1985 0.817 1986 0.677 1987 0.673 1988 0.824 1989 0.967 1990 0.991 1991 0.983 1992 1.014 1993 1.023 1994 0.971 1995 1.071 1996 1.131 1997 1.139 1998 1.176 1999 1.202 2000 1.183 2001 1.151 2002 1.21 2003 1.267 2004 1.132 2005 1.038 2006 1.05 2007 1.088 2008 1.001 2009 0.908 2010 1.012