# europe_germ014 - Schonegrund Oberer Bannwald (Tree Means) - 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/2712 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_germ014 - Schonegrund Oberer Bannwald (Tree Means) - 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: Schonegrund Oberer Bannwald (Tree Means) # Location: # Country: Germany # Northernmost_Latitude: 48.57 # Southernmost_Latitude: 48.57 # Easternmost_Longitude: 9.08 # Westernmost_Longitude: 9.08 # Elevation: 710 m #-------------------- # Data_Collection # Collection_Name: europe_germ014B # Earliest_Year: 1778 # Most_Recent_Year: 1971 # 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":"5.01044739368","T2":"17.9095468476","M1":"0.0223936794919","M2":"0.320093315393"}} #-------------------- # 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 1778 0.655 1779 0.404 1780 0.739 1781 1.006 1782 0.767 1783 0.904 1784 0.91 1785 0.926 1786 0.855 1787 0.827 1788 1.087 1789 0.963 1790 1.018 1791 1.092 1792 1.352 1793 1.204 1794 1.354 1795 1.259 1796 1.28 1797 1.3 1798 1.413 1799 1.217 1800 1.258 1801 1.271 1802 1.39 1803 1.4 1804 1.067 1805 1.071 1806 0.896 1807 1.012 1808 1.163 1809 0.981 1810 1.055 1811 1.024 1812 0.994 1813 0.986 1814 0.992 1815 1.001 1816 0.775 1817 0.77 1818 0.933 1819 1.106 1820 0.924 1821 1.023 1822 1.328 1823 1.188 1824 1.073 1825 1.263 1826 1.1 1827 0.928 1828 1.098 1829 1.155 1830 1.048 1831 1.036 1832 0.836 1833 0.848 1834 1.215 1835 0.944 1836 0.892 1837 0.969 1838 0.721 1839 0.606 1840 0.743 1841 0.891 1842 0.971 1843 0.909 1844 0.865 1845 0.823 1846 1.253 1847 1.017 1848 1.105 1849 0.888 1850 0.726 1851 0.897 1852 0.887 1853 1.005 1854 0.834 1855 0.895 1856 0.943 1857 0.813 1858 0.8 1859 0.963 1860 0.968 1861 0.999 1862 1.241 1863 1.144 1864 1.158 1865 0.74 1866 0.622 1867 0.813 1868 0.933 1869 0.939 1870 0.874 1871 0.804 1872 0.771 1873 0.843 1874 0.933 1875 1.113 1876 1.253 1877 1.247 1878 1.036 1879 0.961 1880 0.737 1881 0.933 1882 1.012 1883 0.928 1884 0.885 1885 1.033 1886 1.111 1887 0.861 1888 0.637 1889 0.532 1890 0.723 1891 0.513 1892 0.478 1893 0.669 1894 0.801 1895 0.748 1896 0.887 1897 1.076 1898 0.9 1899 0.962 1900 0.907 1901 1.277 1902 1.101 1903 0.954 1904 1.076 1905 1.146 1906 0.972 1907 1.062 1908 0.845 1909 0.803 1910 0.738 1911 0.581 1912 1.032 1913 0.893 1914 1.045 1915 1.13 1916 1.125 1917 0.816 1918 0.663 1919 0.791 1920 0.968 1921 0.741 1922 0.828 1923 0.758 1924 1.153 1925 1.388 1926 1.042 1927 1.316 1928 1.249 1929 1.079 1930 0.943 1931 1.069 1932 0.936 1933 0.902 1934 0.732 1935 0.725 1936 0.772 1937 0.924 1938 0.831 1939 0.88 1940 0.687 1941 0.692 1942 0.824 1943 1.284 1944 0.907 1945 1.132 1946 1.32 1947 1.573 1948 1.438 1949 1.206 1950 1.41 1951 1.071 1952 1.042 1953 1.537 1954 1.309 1955 1.171 1956 1.02 1957 0.857 1958 1.145 1959 1.363 1960 1.018 1961 0.888 1962 0.935 1963 0.656 1964 0.629 1965 1.012 1966 1.193 1967 1.291 1968 1.161 1969 1.291 1970 1.421 1971 1.742