# europe_neth031 - All Scots Pine Data in the Netherlands - 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/3906 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_neth031 - All Scots Pine Data in the Netherlands - 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: All Scots Pine Data in the Netherlands # Location: # Country: Netherlands # Northernmost_Latitude: 52.25 # Southernmost_Latitude: 52.25 # Easternmost_Longitude: 5.83 # Westernmost_Longitude: 5.83 # Elevation: 20 m #-------------------- # Data_Collection # Collection_Name: europe_neth031B # Earliest_Year: 1806 # Most_Recent_Year: 1990 # 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":"4.51055016438","T2":"15.3192453224","M1":"0.0223561331879","M2":"0.510758824351"}} #-------------------- # 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 1806 0.873 1807 1.016 1808 0.936 1809 1.078 1810 0.999 1811 1.041 1812 1.151 1813 1.077 1814 0.988 1815 0.974 1816 0.936 1817 0.867 1818 0.8 1819 0.762 1820 0.779 1821 0.786 1822 0.786 1823 0.862 1824 0.898 1825 1.053 1826 1.122 1827 1.108 1828 1.211 1829 1.239 1830 1.237 1831 1.119 1832 1.114 1833 1.097 1834 1.144 1835 1.186 1836 1.203 1837 1.15 1838 1.21 1839 1.211 1840 1.312 1841 1.198 1842 1.105 1843 0.931 1844 0.857 1845 0.8 1846 0.79 1847 0.761 1848 0.796 1849 0.834 1850 0.813 1851 0.881 1852 0.886 1853 0.885 1854 0.949 1855 0.875 1856 0.87 1857 0.771 1858 0.825 1859 0.727 1860 0.879 1861 0.853 1862 0.818 1863 0.852 1864 0.917 1865 0.875 1866 0.901 1867 0.938 1868 1.016 1869 0.976 1870 0.992 1871 1.01 1872 1.016 1873 1.042 1874 1.142 1875 1.107 1876 1.131 1877 1.057 1878 0.981 1879 0.948 1880 0.894 1881 0.864 1882 0.885 1883 0.94 1884 0.942 1885 0.909 1886 0.867 1887 0.817 1888 0.763 1889 0.717 1890 0.73 1891 0.759 1892 0.864 1893 0.893 1894 0.967 1895 1.021 1896 0.974 1897 0.972 1898 0.891 1899 0.95 1900 0.997 1901 0.998 1902 1.112 1903 1.087 1904 1.174 1905 1.092 1906 1.016 1907 0.988 1908 0.951 1909 0.984 1910 0.935 1911 0.963 1912 0.979 1913 0.993 1914 1.042 1915 1.041 1916 1.073 1917 1.05 1918 0.969 1919 0.952 1920 0.977 1921 0.923 1922 0.937 1923 0.978 1924 0.977 1925 0.998 1926 0.982 1927 0.937 1928 0.868 1929 0.882 1930 0.881 1931 0.902 1932 1.011 1933 0.973 1934 0.986 1935 1.039 1936 1.103 1937 1.041 1938 1.062 1939 0.969 1940 0.827 1941 0.787 1942 0.898 1943 0.956 1944 1.071 1945 1.199 1946 1.04 1947 0.925 1948 1.012 1949 1.032 1950 1.064 1951 0.894 1952 0.854 1953 0.975 1954 0.926 1955 0.968 1956 0.971 1957 1.056 1958 0.963 1959 0.87 1960 0.866 1961 0.992 1962 1.049 1963 1.023 1964 1.091 1965 1.151 1966 1.223 1967 1.313 1968 1.126 1969 0.888 1970 0.932 1971 1.036 1972 1.017 1973 1.083 1974 1.14 1975 0.917 1976 0.796 1977 0.762 1978 0.752 1979 0.77 1980 0.9 1981 1.009 1982 1.084 1983 0.924 1984 0.886 1985 0.923 1986 0.684 1987 0.84 1988 0.951 1989 1.133 1990 0.53