# europe_swit167w - Simmental, Iffigenalp - 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/4648 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit167w - Simmental, Iffigenalp - 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: Simmental, Iffigenalp # Location: # Country: Switzerland # Northernmost_Latitude: 46.4 # Southernmost_Latitude: 46.4 # Easternmost_Longitude: 7.43 # Westernmost_Longitude: 7.43 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: europe_swit167wB # Earliest_Year: 1783 # Most_Recent_Year: 1986 # 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":"5.65283870719","T2":"17.1759975651","M1":"0.0228485950347","M2":"0.403267582139"}} #-------------------- # Species # Species_Name: krummholz pine # Species_Code: PIMU #-------------------- # 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 1783 1.045 1784 1.221 1785 0.955 1786 1.036 1787 1.145 1788 1.469 1789 1.087 1790 1.121 1791 1.223 1792 1.171 1793 0.957 1794 1.349 1795 1.178 1796 1.346 1797 1.237 1798 1.168 1799 0.997 1800 1.112 1801 1.017 1802 0.888 1803 0.859 1804 1.086 1805 0.974 1806 0.901 1807 1.239 1808 1.069 1809 0.924 1810 0.866 1811 1.126 1812 0.961 1813 0.639 1814 0.846 1815 0.75 1816 0.645 1817 0.546 1818 0.828 1819 1.073 1820 1.075 1821 0.813 1822 0.801 1823 0.978 1824 0.945 1825 1.048 1826 0.873 1827 1.102 1828 1.226 1829 1.124 1830 0.85 1831 1.03 1832 0.837 1833 0.905 1834 1.065 1835 0.953 1836 0.645 1837 1.123 1838 1.071 1839 0.941 1840 1.293 1841 1.146 1842 1.312 1843 1.012 1844 1.073 1845 0.993 1846 1.258 1847 1.031 1848 1.026 1849 0.806 1850 0.738 1851 0.515 1852 0.797 1853 1.132 1854 1.076 1855 1.034 1856 0.92 1857 0.834 1858 0.653 1859 0.796 1860 0.767 1861 0.901 1862 0.973 1863 1.154 1864 1.268 1865 1.248 1866 1.102 1867 1.512 1868 1.176 1869 1.268 1870 0.912 1871 1.094 1872 1.028 1873 1.033 1874 0.974 1875 0.912 1876 0.785 1877 0.794 1878 0.861 1879 0.776 1880 0.666 1881 0.958 1882 0.882 1883 0.965 1884 0.782 1885 0.826 1886 0.563 1887 0.857 1888 0.713 1889 0.813 1890 0.631 1891 0.69 1892 0.68 1893 0.871 1894 1.002 1895 0.895 1896 0.804 1897 0.86 1898 1.032 1899 0.963 1900 1.095 1901 0.889 1902 0.798 1903 1.023 1904 1.112 1905 1.101 1906 0.83 1907 1.137 1908 1.482 1909 1.269 1910 1.336 1911 1.358 1912 0.944 1913 0.769 1914 1.312 1915 1.202 1916 1.155 1917 1.261 1918 0.874 1919 0.979 1920 0.611 1921 0.859 1922 0.776 1923 0.706 1924 0.926 1925 0.99 1926 0.941 1927 1.149 1928 0.952 1929 0.815 1930 0.918 1931 1.037 1932 1.073 1933 0.804 1934 0.872 1935 0.993 1936 0.989 1937 1.006 1938 1.076 1939 1.287 1940 0.973 1941 0.835 1942 0.733 1943 1.017 1944 0.89 1945 0.676 1946 1.391 1947 1.183 1948 0.831 1949 0.922 1950 1.08 1951 1.392 1952 1.351 1953 0.949 1954 0.929 1955 1.04 1956 1.02 1957 0.844 1958 1.455 1959 0.997 1960 0.961 1961 0.818 1962 0.869 1963 0.65 1964 1.038 1965 0.954 1966 1.047 1967 0.974 1968 1.043 1969 1.288 1970 1.277 1971 0.944 1972 1.019 1973 0.958 1974 0.794 1975 0.702 1976 0.77 1977 0.873 1978 0.955 1979 0.859 1980 1.131 1981 0.888 1982 1.522 1983 1.373 1984 1.177 1985 1.176 1986 0.864