# europe_swit123 - Burchen Bielwald - 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/4359 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit123 - Burchen Bielwald - 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: Burchen Bielwald # Location: # Country: Switzerland # Northernmost_Latitude: 46.28 # Southernmost_Latitude: 46.28 # Easternmost_Longitude: 7.83 # Westernmost_Longitude: 7.83 # Elevation: 1740 m #-------------------- # Data_Collection # Collection_Name: europe_swit123B # Earliest_Year: 1826 # Most_Recent_Year: 1980 # 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":"5.82359600599","T2":"17.1730117334","M1":"0.0223572848836","M2":"0.401313946174"}} #-------------------- # Species # Species_Name: silver fir # Species_Code: ABAL #-------------------- # 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 1826 1.661 1827 1.428 1828 1.524 1829 1.471 1830 0.892 1831 1.251 1832 1.136 1833 0.923 1834 1.278 1835 1.266 1836 0.964 1837 0.938 1838 0.869 1839 0.968 1840 1.01 1841 1.017 1842 1.155 1843 1.118 1844 1.009 1845 1.253 1846 1.418 1847 1.106 1848 1.391 1849 1.323 1850 1.18 1851 1.077 1852 1.23 1853 1.192 1854 1.069 1855 0.904 1856 1.036 1857 0.995 1858 0.948 1859 1.137 1860 0.71 1861 0.808 1862 0.682 1863 0.772 1864 0.817 1865 0.709 1866 0.909 1867 0.905 1868 0.78 1869 0.931 1870 0.748 1871 0.909 1872 0.915 1873 1.137 1874 0.873 1875 0.907 1876 1.165 1877 0.927 1878 1.015 1879 1.044 1880 0.932 1881 1.133 1882 1.008 1883 1.012 1884 1.078 1885 0.95 1886 0.983 1887 1.077 1888 0.566 1889 1.14 1890 1.048 1891 0.767 1892 1.076 1893 1.003 1894 0.992 1895 0.956 1896 0.921 1897 1.013 1898 1.254 1899 1.118 1900 1.097 1901 1.069 1902 1.221 1903 1.128 1904 1.037 1905 1.1 1906 0.873 1907 0.882 1908 0.948 1909 0.847 1910 0.953 1911 1.1 1912 0.874 1913 0.837 1914 1.212 1915 0.885 1916 1.068 1917 0.881 1918 1.123 1919 0.943 1920 0.995 1921 1.177 1922 0.817 1923 1.159 1924 1.016 1925 1.057 1926 1.277 1927 1.168 1928 1.317 1929 1.094 1930 1.128 1931 1.26 1932 1.481 1933 1.189 1934 1.001 1935 1.082 1936 1.18 1937 0.998 1938 1.203 1939 1.184 1940 1.152 1941 1.15 1942 1.062 1943 1.119 1944 1.035 1945 0.827 1946 1.099 1947 0.876 1948 0.728 1949 1.079 1950 0.843 1951 0.985 1952 1.135 1953 1.026 1954 1.03 1955 1.184 1956 1.021 1957 1.013 1958 1.022 1959 1.109 1960 0.933 1961 1.119 1962 0.962 1963 0.894 1964 0.981 1965 0.75 1966 0.815 1967 1.043 1968 0.877 1969 0.991 1970 0.86 1971 0.958 1972 0.915 1973 0.856 1974 0.876 1975 0.627 1976 0.833 1977 0.839 1978 0.781 1979 0.781 1980 0.764