# europe_brit053 - Sheffield, Bingham Park Wood and Endcliffe Wood - 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/5139 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_brit053 - Sheffield, Bingham Park Wood and Endcliffe Wood - 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: Sheffield, Bingham Park Wood and Endcliffe Wood # Location: # Country: United Kingdom # Northernmost_Latitude: 53.37 # Southernmost_Latitude: 53.37 # Easternmost_Longitude: -1.5 # Westernmost_Longitude: -1.5 # Elevation: 140 m #-------------------- # Data_Collection # Collection_Name: europe_brit053B # Earliest_Year: 1812 # Most_Recent_Year: 2003 # 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":"6.54472512461","T2":"13.600318254","M1":"0.0221735000637","M2":"0.556020128496"}} #-------------------- # 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 1812 0.935 1813 1.234 1814 1.124 1815 0.981 1816 0.837 1817 0.751 1818 0.858 1819 0.965 1820 1.125 1821 1.214 1822 1.496 1823 1.512 1824 1.126 1825 0.686 1826 0.692 1827 0.693 1828 0.771 1829 0.944 1830 0.745 1831 1.401 1832 1.18 1833 1.324 1834 1.749 1835 1.422 1836 1.315 1837 1.538 1838 0.706 1839 0.766 1840 0.957 1841 1.488 1842 1.754 1843 1.082 1844 0.83 1845 1.295 1846 0.978 1847 1.211 1848 1.365 1849 1.226 1850 1.299 1851 1.206 1852 0.879 1853 1.1 1854 0.857 1855 0.963 1856 0.827 1857 0.435 1858 0.559 1859 0.777 1860 0.654 1861 0.856 1862 0.843 1863 0.994 1864 1.025 1865 1.304 1866 1.096 1867 1.172 1868 0.963 1869 0.604 1870 0.794 1871 1.203 1872 1.022 1873 1.308 1874 1.005 1875 1.237 1876 1.159 1877 1.317 1878 1.122 1879 1.126 1880 0.751 1881 0.659 1882 0.868 1883 0.85 1884 1.141 1885 0.983 1886 0.84 1887 0.671 1888 0.645 1889 0.66 1890 1.184 1891 1.114 1892 1.297 1893 1.102 1894 0.765 1895 0.722 1896 0.77 1897 0.647 1898 0.614 1899 0.86 1900 1.144 1901 0.856 1902 0.764 1903 0.925 1904 0.989 1905 1.046 1906 0.787 1907 0.738 1908 0.882 1909 0.76 1910 0.771 1911 0.793 1912 0.739 1913 0.638 1914 0.692 1915 0.542 1916 0.736 1917 0.949 1918 1.029 1919 0.821 1920 0.74 1921 0.666 1922 0.858 1923 0.626 1924 0.925 1925 0.773 1926 0.719 1927 0.703 1928 0.629 1929 0.687 1930 0.848 1931 0.952 1932 0.789 1933 0.591 1934 0.547 1935 0.603 1936 0.796 1937 0.813 1938 0.58 1939 0.78 1940 0.76 1941 0.82 1942 0.848 1943 0.821 1944 0.775 1945 1.097 1946 0.72 1947 1.01 1948 0.78 1949 0.584 1950 0.676 1951 0.846 1952 0.931 1953 0.892 1954 0.906 1955 0.779 1956 0.86 1957 0.653 1958 0.906 1959 0.953 1960 0.824 1961 0.924 1962 1.185 1963 1.032 1964 1.455 1965 1.028 1966 1.201 1967 1.026 1968 0.776 1969 1.104 1970 0.842 1971 1.021 1972 0.755 1973 1.011 1974 0.972 1975 0.955 1976 0.848 1977 0.868 1978 1.498 1979 1.55 1980 1.383 1981 1.485 1982 1.336 1983 1.178 1984 1.211 1985 1.173 1986 1.429 1987 1.328 1988 1.31 1989 1.216 1990 0.895 1991 1.205 1992 1.072 1993 1.307 1994 1.332 1995 1.121 1996 1.168 1997 1.566 1998 1.166 1999 1.305 2000 0.9 2001 1.2 2002 1.254 2003 1.213