# europe_swit169w - 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/4647 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit169w - 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_swit169wB # Earliest_Year: 1810 # 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":"4.92553240704","T2":"16.8836049489","M1":"0.0221629495422","M2":"0.405751501465"}} #-------------------- # 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 1810 0.669 1811 0.877 1812 0.754 1813 0.676 1814 0.73 1815 0.717 1816 0.632 1817 0.734 1818 0.669 1819 0.738 1820 0.756 1821 0.576 1822 1.111 1823 0.944 1824 1.087 1825 0.997 1826 0.9 1827 1.066 1828 1.063 1829 1.014 1830 0.885 1831 1.141 1832 0.794 1833 0.988 1834 1.141 1835 1.228 1836 0.899 1837 0.986 1838 0.96 1839 1.109 1840 0.888 1841 0.861 1842 1.397 1843 0.804 1844 1.016 1845 0.907 1846 1.222 1847 0.805 1848 0.949 1849 1.034 1850 0.959 1851 0.885 1852 0.906 1853 1.103 1854 0.862 1855 1.039 1856 0.825 1857 0.94 1858 0.784 1859 0.825 1860 0.719 1861 0.821 1862 0.501 1863 0.894 1864 1.097 1865 1.106 1866 1.117 1867 1.434 1868 1.26 1869 1.142 1870 1.067 1871 0.894 1872 0.944 1873 1.174 1874 1.091 1875 1.061 1876 1.127 1877 1.129 1878 1.204 1879 1.09 1880 0.826 1881 1.332 1882 1.228 1883 1.009 1884 0.951 1885 1.359 1886 0.756 1887 1.223 1888 0.914 1889 1.212 1890 1.046 1891 1.144 1892 1.338 1893 1.385 1894 1.348 1895 1.358 1896 1.389 1897 1.56 1898 1.01 1899 0.912 1900 1.093 1901 1.346 1902 1.176 1903 1.115 1904 1.173 1905 1.172 1906 0.978 1907 0.832 1908 1.418 1909 0.684 1910 1.16 1911 0.975 1912 0.705 1913 0.708 1914 0.789 1915 0.825 1916 0.695 1917 0.879 1918 0.604 1919 0.824 1920 0.72 1921 1.059 1922 0.973 1923 1.196 1924 1.157 1925 1.052 1926 0.873 1927 1.343 1928 1.079 1929 0.765 1930 0.737 1931 1.044 1932 0.762 1933 0.554 1934 0.57 1935 0.811 1936 0.815 1937 0.934 1938 0.861 1939 0.823 1940 0.774 1941 0.829 1942 1.036 1943 1.001 1944 0.961 1945 1.245 1946 0.946 1947 1.289 1948 0.571 1949 0.84 1950 1.011 1951 1.03 1952 1.034 1953 0.854 1954 0.761 1955 0.935 1956 0.842 1957 0.956 1958 0.93 1959 0.899 1960 0.849 1961 0.798 1962 0.812 1963 0.893 1964 0.986 1965 0.985 1966 1.037 1967 1.174 1968 0.965 1969 1.107 1970 1.29 1971 1.151 1972 1.138 1973 1.247 1974 0.831 1975 0.939 1976 1.073 1977 1.051 1978 0.835 1979 1.13 1980 1.148 1981 0.99 1982 1.503 1983 1.122 1984 1.002 1985 0.884 1986 0.771