# europe_brit006 - Glen of the Downs - 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/4218 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_brit006 - Glen of the Downs - 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: Glen of the Downs # Location: # Country: Ireland # Northernmost_Latitude: 53.13 # Southernmost_Latitude: 53.13 # Easternmost_Longitude: -6.08 # Westernmost_Longitude: -6.08 # Elevation: 100 m #-------------------- # Data_Collection # Collection_Name: europe_brit006B # Earliest_Year: 1838 # Most_Recent_Year: 1978 # 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":"5.66956261888","T2":"13.6427005938","M1":"0.0222799654433","M2":"0.351607947279"}} #-------------------- # 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 1838 1.6 1839 1.48 1840 1.427 1841 1.238 1842 1.147 1843 0.674 1844 0.551 1845 0.998 1846 0.676 1847 0.651 1848 0.46 1849 0.825 1850 0.897 1851 0.698 1852 0.896 1853 0.813 1854 1.013 1855 1.16 1856 0.766 1857 1.233 1858 1.101 1859 1.004 1860 1.294 1861 1.269 1862 1.571 1863 0.86 1864 0.569 1865 0.861 1866 0.953 1867 0.576 1868 0.404 1869 0.489 1870 0.473 1871 0.631 1872 0.572 1873 0.78 1874 0.815 1875 0.613 1876 0.646 1877 0.792 1878 0.911 1879 0.966 1880 1.129 1881 1.335 1882 1.207 1883 0.901 1884 0.921 1885 1.042 1886 0.867 1887 0.582 1888 0.346 1889 0.683 1890 1.25 1891 1.024 1892 0.973 1893 0.859 1894 1.002 1895 0.948 1896 0.996 1897 0.806 1898 0.806 1899 0.937 1900 1.058 1901 0.814 1902 0.668 1903 0.928 1904 1.106 1905 0.921 1906 0.755 1907 0.96 1908 1.257 1909 1.267 1910 1.44 1911 1.208 1912 1.224 1913 1.099 1914 1.099 1915 1.17 1916 1.025 1917 0.507 1918 0.378 1919 0.659 1920 0.844 1921 0.951 1922 0.769 1923 0.504 1924 0.668 1925 0.711 1926 0.694 1927 1.006 1928 1.239 1929 1.008 1930 1.128 1931 1.049 1932 0.757 1933 0.357 1934 0.286 1935 0.418 1936 0.868 1937 0.645 1938 0.402 1939 0.588 1940 0.812 1941 1.044 1942 1.298 1943 1.137 1944 1.408 1945 1.756 1946 0.974 1947 1.44 1948 1.137 1949 1.123 1950 1.747 1951 1.962 1952 1.752 1953 1.962 1954 1.477 1955 1.148 1956 0.877 1957 0.806 1958 0.813 1959 0.755 1960 0.803 1961 0.657 1962 1.644 1963 1.746 1964 1.529 1965 1.473 1966 1.214 1967 1.198 1968 1.151 1969 1.239 1970 0.942 1971 0.865 1972 0.842 1973 1.053 1974 1.033 1975 0.873 1976 0.697 1977 0.655 1978 0.585