# europe_germ020 - Andreasberg Harz Schluft - 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/4309 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_germ020 - Andreasberg Harz Schluft - 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: Andreasberg Harz Schluft # Location: # Country: Germany # Northernmost_Latitude: 51.72 # Southernmost_Latitude: 51.72 # Easternmost_Longitude: 10.57 # Westernmost_Longitude: 10.57 # Elevation: 900 m #-------------------- # Data_Collection # Collection_Name: europe_germ020B # Earliest_Year: 1812 # Most_Recent_Year: 1977 # 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":"6.83739362117","T2":"20.5616877372","M1":"0.0223337264636","M2":"0.235969952296"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 0.697 1813 0.778 1814 0.912 1815 0.932 1816 0.682 1817 0.829 1818 1.001 1819 1.119 1820 0.755 1821 0.599 1822 0.846 1823 0.747 1824 0.805 1825 0.919 1826 0.87 1827 0.837 1828 1.0 1829 1.006 1830 0.92 1831 1.244 1832 1.09 1833 1.604 1834 1.533 1835 0.952 1836 1.063 1837 0.935 1838 0.626 1839 0.916 1840 1.009 1841 1.106 1842 1.49 1843 0.764 1844 0.834 1845 1.003 1846 1.115 1847 0.902 1848 0.938 1849 1.186 1850 1.151 1851 0.919 1852 0.842 1853 1.28 1854 1.161 1855 1.077 1856 0.791 1857 0.815 1858 0.693 1859 0.819 1860 0.824 1861 1.034 1862 1.0 1863 1.168 1864 1.31 1865 1.236 1866 1.172 1867 1.121 1868 1.157 1869 0.812 1870 0.916 1871 0.82 1872 1.135 1873 1.4 1874 1.153 1875 1.378 1876 1.117 1877 0.979 1878 1.157 1879 1.038 1880 1.279 1881 1.227 1882 1.202 1883 0.872 1884 1.213 1885 1.11 1886 1.05 1887 1.008 1888 1.085 1889 1.175 1890 1.253 1891 1.034 1892 1.25 1893 1.176 1894 1.196 1895 1.481 1896 1.278 1897 1.318 1898 1.226 1899 1.022 1900 1.09 1901 1.277 1902 0.862 1903 1.047 1904 1.075 1905 1.168 1906 0.986 1907 0.973 1908 1.17 1909 1.139 1910 1.244 1911 1.208 1912 0.811 1913 0.84 1914 0.979 1915 0.678 1916 0.864 1917 0.987 1918 0.737 1919 0.912 1920 0.823 1921 0.925 1922 1.003 1923 0.582 1924 1.03 1925 1.093 1926 0.921 1927 0.966 1928 0.885 1929 1.13 1930 1.035 1931 1.152 1932 1.22 1933 1.248 1934 1.302 1935 1.164 1936 1.118 1937 0.959 1938 0.859 1939 0.901 1940 0.75 1941 0.879 1942 0.483 1943 0.547 1944 0.884 1945 1.09 1946 1.412 1947 1.51 1948 0.686 1949 0.895 1950 0.966 1951 0.977 1952 1.231 1953 1.446 1954 1.015 1955 1.138 1956 0.86 1957 0.97 1958 0.85 1959 0.837 1960 0.765 1961 0.403 1962 0.509 1963 0.833 1964 0.767 1965 0.574 1966 1.003 1967 1.067 1968 1.106 1969 0.974 1970 1.134 1971 0.898 1972 0.707 1973 0.737 1974 0.548 1975 0.794 1976 0.541 1977 0.667