# europe_spai051 - Viella Monte de Vilach - 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/4266 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai051 - Viella Monte de Vilach - 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: Viella Monte de Vilach # Location: # Country: Spain # Northernmost_Latitude: 42.73 # Southernmost_Latitude: 42.73 # Easternmost_Longitude: 0.78 # Westernmost_Longitude: 0.78 # Elevation: 1920 m #-------------------- # Data_Collection # Collection_Name: europe_spai051B # Earliest_Year: 1813 # Most_Recent_Year: 1985 # 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":"5.33460365734","T2":"17.4265618853","M1":"0.0222188677843","M2":"0.413577700936"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1813 0.885 1814 1.064 1815 1.192 1816 0.817 1817 0.739 1818 0.843 1819 0.928 1820 0.874 1821 0.947 1822 0.806 1823 0.775 1824 0.69 1825 1.072 1826 0.814 1827 0.913 1828 0.907 1829 0.864 1830 0.939 1831 0.894 1832 0.742 1833 0.885 1834 1.242 1835 0.978 1836 0.821 1837 1.029 1838 0.997 1839 0.719 1840 0.942 1841 1.221 1842 1.09 1843 1.251 1844 1.065 1845 0.872 1846 1.386 1847 0.964 1848 1.101 1849 1.126 1850 1.049 1851 0.96 1852 1.042 1853 0.77 1854 0.991 1855 0.918 1856 0.983 1857 0.953 1858 1.038 1859 1.341 1860 1.038 1861 1.152 1862 1.043 1863 1.1 1864 1.25 1865 1.032 1866 1.131 1867 1.225 1868 1.054 1869 1.09 1870 0.92 1871 0.84 1872 0.957 1873 1.234 1874 1.151 1875 1.235 1876 0.927 1877 1.163 1878 1.184 1879 0.627 1880 0.765 1881 0.884 1882 1.019 1883 1.045 1884 1.206 1885 1.212 1886 1.08 1887 1.163 1888 1.03 1889 1.098 1890 0.954 1891 0.852 1892 1.028 1893 1.233 1894 0.951 1895 0.877 1896 0.681 1897 1.085 1898 0.879 1899 0.837 1900 0.946 1901 1.178 1902 1.08 1903 1.042 1904 1.283 1905 1.165 1906 0.954 1907 0.838 1908 1.114 1909 0.975 1910 0.885 1911 1.347 1912 0.969 1913 0.935 1914 0.929 1915 0.992 1916 0.92 1917 1.148 1918 0.863 1919 0.844 1920 1.019 1921 0.817 1922 0.639 1923 0.904 1924 1.045 1925 1.101 1926 1.208 1927 1.14 1928 1.002 1929 1.028 1930 1.242 1931 0.907 1932 0.856 1933 1.031 1934 0.901 1935 0.92 1936 1.048 1937 1.031 1938 0.834 1939 0.968 1940 1.097 1941 1.082 1942 0.913 1943 1.011 1944 0.851 1945 0.621 1946 0.724 1947 0.739 1948 0.929 1949 0.826 1950 0.696 1951 0.98 1952 1.014 1953 1.208 1954 0.734 1955 0.828 1956 0.777 1957 0.68 1958 1.199 1959 1.242 1960 1.046 1961 1.331 1962 0.8 1963 0.495 1964 1.114 1965 0.64 1966 0.756 1967 0.825 1968 0.876 1969 1.034 1970 1.106 1971 1.033 1972 0.773 1973 1.28 1974 0.891 1975 0.624 1976 0.888 1977 0.888 1978 1.151 1979 0.955 1980 1.129 1981 1.272 1982 1.114 1983 1.211 1984 0.939 1985 1.219