# europe_swit166w - Simmental,St.Stephan,Gyr - 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/4649 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit166w - Simmental,St.Stephan,Gyr - 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,St.Stephan,Gyr # Location: # Country: Switzerland # Northernmost_Latitude: 46.52 # Southernmost_Latitude: 46.52 # Easternmost_Longitude: 7.4 # Westernmost_Longitude: 7.4 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: europe_swit166wB # Earliest_Year: 1757 # 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":"5.68464084465","T2":"17.5887518757","M1":"0.0227649201332","M2":"0.40941307261"}} #-------------------- # 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 1757 1.071 1758 0.975 1759 1.117 1760 1.101 1761 0.99 1762 0.861 1763 0.991 1764 1.084 1765 0.791 1766 0.746 1767 0.755 1768 0.753 1769 0.769 1770 0.827 1771 0.745 1772 0.784 1773 0.631 1774 0.824 1775 0.859 1776 0.909 1777 0.924 1778 1.042 1779 0.736 1780 0.797 1781 0.985 1782 0.655 1783 0.996 1784 0.915 1785 0.929 1786 0.882 1787 0.942 1788 0.958 1789 0.914 1790 0.958 1791 1.152 1792 1.204 1793 1.124 1794 1.412 1795 1.068 1796 1.171 1797 1.08 1798 1.312 1799 1.269 1800 1.146 1801 1.114 1802 1.27 1803 1.365 1804 1.068 1805 1.205 1806 1.177 1807 1.342 1808 1.265 1809 1.252 1810 1.077 1811 1.414 1812 1.118 1813 0.838 1814 1.083 1815 0.94 1816 0.805 1817 1.037 1818 0.934 1819 0.952 1820 0.929 1821 0.759 1822 1.202 1823 1.002 1824 1.074 1825 1.099 1826 1.128 1827 1.032 1828 1.032 1829 0.958 1830 0.825 1831 1.05 1832 0.848 1833 1.02 1834 0.923 1835 0.722 1836 0.633 1837 0.819 1838 0.752 1839 0.722 1840 0.787 1841 0.881 1842 1.093 1843 0.777 1844 0.88 1845 0.956 1846 1.24 1847 1.09 1848 1.112 1849 0.911 1850 0.936 1851 0.986 1852 0.947 1853 1.018 1854 0.941 1855 0.968 1856 0.969 1857 0.845 1858 0.867 1859 0.815 1860 0.674 1861 0.892 1862 0.659 1863 0.815 1864 0.966 1865 0.757 1866 0.808 1867 1.011 1868 1.038 1869 0.816 1870 0.83 1871 0.902 1872 0.951 1873 1.1 1874 1.225 1875 1.025 1876 0.994 1877 1.228 1878 1.129 1879 1.244 1880 1.101 1881 1.665 1882 1.342 1883 1.149 1884 1.177 1885 1.352 1886 1.017 1887 1.194 1888 0.886 1889 1.164 1890 1.063 1891 1.094 1892 1.319 1893 1.285 1894 1.359 1895 1.211 1896 1.052 1897 1.118 1898 0.969 1899 0.988 1900 0.992 1901 0.967 1902 1.067 1903 1.053 1904 1.346 1905 1.213 1906 1.019 1907 0.799 1908 1.168 1909 0.612 1910 0.909 1911 0.937 1912 0.714 1913 0.715 1914 0.875 1915 0.909 1916 0.865 1917 1.1 1918 0.791 1919 0.881 1920 0.786 1921 0.996 1922 0.876 1923 0.832 1924 0.951 1925 0.878 1926 0.761 1927 0.945 1928 0.837 1929 0.769 1930 0.772 1931 0.855 1932 0.806 1933 0.652 1934 0.858 1935 0.932 1936 0.852 1937 0.854 1938 0.828 1939 0.833 1940 0.842 1941 1.06 1942 1.056 1943 0.972 1944 0.951 1945 1.092 1946 0.94 1947 1.299 1948 0.445 1949 0.659 1950 0.902 1951 1.014 1952 0.675 1953 0.775 1954 0.656 1955 0.914 1956 0.734 1957 0.814 1958 0.997 1959 1.031 1960 1.09 1961 0.96 1962 0.881 1963 1.056 1964 1.182 1965 1.074 1966 1.055 1967 1.105 1968 1.112 1969 1.086 1970 1.133 1971 0.952 1972 1.099 1973 1.26 1974 0.85 1975 0.852 1976 0.97 1977 1.069 1978 0.902 1979 1.064 1980 0.924 1981 0.89 1982 1.288 1983 1.085 1984 1.126 1985 1.127 1986 0.965