# europe_neth033 - Oisterwijkse Vennen - 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/3917 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_neth033 - Oisterwijkse Vennen - 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: Oisterwijkse Vennen # Location: # Country: Netherlands # Northernmost_Latitude: 51.58 # Southernmost_Latitude: 51.58 # Easternmost_Longitude: 5.25 # Westernmost_Longitude: 5.25 # Elevation: 8 m #-------------------- # Data_Collection # Collection_Name: europe_neth033B # Earliest_Year: 1809 # Most_Recent_Year: 1989 # 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":"5.0802413412","T2":"16.2471940824","M1":"0.0227120061157","M2":"0.436755229047"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1809 1.083 1810 0.905 1811 1.069 1812 1.194 1813 1.196 1814 1.029 1815 0.906 1816 0.845 1817 0.662 1818 0.703 1819 0.641 1820 0.704 1821 0.685 1822 0.613 1823 0.726 1824 0.774 1825 1.087 1826 1.146 1827 1.224 1828 1.393 1829 1.467 1830 1.432 1831 1.073 1832 1.224 1833 1.222 1834 1.396 1835 1.405 1836 1.535 1837 1.394 1838 1.479 1839 1.466 1840 1.631 1841 1.231 1842 0.937 1843 0.505 1844 0.612 1845 0.575 1846 0.669 1847 0.686 1848 0.78 1849 0.862 1850 0.542 1851 0.622 1852 0.604 1853 0.591 1854 0.675 1855 0.681 1856 0.768 1857 0.741 1858 0.77 1859 0.649 1860 0.556 1861 0.603 1862 0.656 1863 0.798 1864 1.109 1865 0.693 1866 0.731 1867 0.898 1868 1.113 1869 0.918 1870 1.024 1871 0.93 1872 1.015 1873 1.128 1874 1.321 1875 1.337 1876 1.391 1877 1.161 1878 0.911 1879 0.835 1880 0.842 1881 0.762 1882 0.74 1883 0.808 1884 0.835 1885 0.756 1886 0.664 1887 0.57 1888 0.702 1889 0.664 1890 0.735 1891 0.776 1892 0.671 1893 0.843 1894 0.904 1895 0.861 1896 0.82 1897 0.451 1898 0.534 1899 0.52 1900 0.609 1901 0.607 1902 0.622 1903 0.657 1904 0.652 1905 0.518 1906 0.444 1907 0.477 1908 0.496 1909 0.52 1910 0.556 1911 0.604 1912 0.817 1913 1.008 1914 1.003 1915 1.102 1916 1.078 1917 1.062 1918 0.806 1919 0.751 1920 0.92 1921 0.909 1922 0.719 1923 0.767 1924 1.078 1925 1.488 1926 1.424 1927 1.543 1928 1.453 1929 1.316 1930 1.058 1931 1.009 1932 1.303 1933 1.41 1934 1.203 1935 1.239 1936 1.134 1937 1.347 1938 1.324 1939 1.014 1940 1.076 1941 1.421 1942 1.456 1943 1.867 1944 1.661 1945 1.562 1946 1.362 1947 1.391 1948 1.285 1949 1.421 1950 1.43 1951 1.43 1952 1.451 1953 1.285 1954 0.985 1955 0.927 1956 1.026 1957 1.082 1958 0.745 1959 0.543 1960 0.65 1961 0.879 1962 1.078 1963 1.031 1964 1.36 1965 1.771 1966 1.618 1967 1.254 1968 0.98 1969 0.739 1970 0.586 1971 0.841 1972 0.956 1973 0.834 1974 0.842 1975 0.762 1976 0.585 1977 0.593 1978 0.826 1979 0.75 1980 0.851 1981 1.193 1982 1.209 1983 0.736 1984 0.588 1985 0.529 1986 0.585 1987 0.786 1988 0.897 1989 1.056