# europe_swit174w - Grindelwald Nord (N3) - 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/4429 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit174w - Grindelwald Nord (N3) - 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: Grindelwald Nord (N3) # Location: # Country: Switzerland # Northernmost_Latitude: 46.6 # Southernmost_Latitude: 46.6 # Easternmost_Longitude: 8.03 # Westernmost_Longitude: 8.03 # Elevation: 1700 m #-------------------- # Data_Collection # Collection_Name: europe_swit174wB # Earliest_Year: 1806 # Most_Recent_Year: 1995 # 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":"5.71025814856","T2":"17.4395861625","M1":"0.022527907425","M2":"0.391997966983"}} #-------------------- # 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 1806 1.2 1807 1.18 1808 0.969 1809 1.002 1810 0.999 1811 0.976 1812 0.942 1813 0.809 1814 0.665 1815 0.613 1816 0.471 1817 0.479 1818 0.604 1819 0.779 1820 0.768 1821 0.592 1822 0.766 1823 0.823 1824 1.082 1825 1.121 1826 0.986 1827 1.051 1828 1.193 1829 1.118 1830 1.047 1831 1.244 1832 0.873 1833 0.895 1834 1.02 1835 1.245 1836 1.005 1837 0.971 1838 0.985 1839 1.051 1840 0.951 1841 1.133 1842 1.243 1843 0.879 1844 0.835 1845 0.762 1846 1.095 1847 1.121 1848 1.029 1849 0.8 1850 0.813 1851 0.866 1852 0.935 1853 0.976 1854 0.835 1855 0.814 1856 0.936 1857 1.01 1858 0.853 1859 0.888 1860 0.879 1861 1.045 1862 0.804 1863 1.044 1864 1.147 1865 1.0 1866 0.909 1867 1.15 1868 1.126 1869 0.94 1870 1.02 1871 1.013 1872 1.054 1873 1.15 1874 1.047 1875 0.951 1876 0.87 1877 0.862 1878 0.843 1879 0.725 1880 1.024 1881 1.603 1882 1.503 1883 1.197 1884 1.026 1885 1.2 1886 0.954 1887 1.199 1888 1.003 1889 1.09 1890 0.824 1891 0.754 1892 0.85 1893 0.926 1894 1.122 1895 1.074 1896 0.867 1897 0.867 1898 0.815 1899 1.046 1900 0.985 1901 1.107 1902 0.95 1903 0.964 1904 1.157 1905 0.997 1906 0.984 1907 0.927 1908 1.3 1909 0.735 1910 0.948 1911 1.083 1912 0.855 1913 0.873 1914 0.991 1915 0.931 1916 0.893 1917 1.031 1918 0.828 1919 0.857 1920 0.822 1921 1.066 1922 0.978 1923 1.251 1924 1.368 1925 1.328 1926 1.136 1927 1.265 1928 1.326 1929 1.188 1930 1.155 1931 1.272 1932 1.076 1933 0.794 1934 0.911 1935 0.992 1936 0.87 1937 0.895 1938 0.751 1939 0.827 1940 0.89 1941 1.01 1942 1.25 1943 1.217 1944 1.151 1945 1.259 1946 0.976 1947 1.202 1948 0.542 1949 0.956 1950 0.906 1951 1.022 1952 1.006 1953 0.941 1954 0.756 1955 1.063 1956 0.778 1957 0.768 1958 0.79 1959 0.826 1960 0.887 1961 1.016 1962 0.814 1963 0.922 1964 1.079 1965 0.883 1966 1.049 1967 1.12 1968 0.963 1969 1.169 1970 0.984 1971 1.06 1972 1.122 1973 1.219 1974 0.772 1975 0.936 1976 0.958 1977 1.093 1978 0.888 1979 1.046 1980 0.802 1981 0.934 1982 1.187 1983 1.232 1984 0.918 1985 1.128 1986 0.884 1987 0.682 1988 0.829 1989 0.991 1990 0.744 1991 0.701 1992 0.608 1993 0.864 1994 0.943 1995 0.677