# europe_fran038 - Vizzavona Mount Renoso - 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/4723 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_fran038 - Vizzavona Mount Renoso - 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: Vizzavona Mount Renoso # Location: # Country: France # Northernmost_Latitude: 42.08 # Southernmost_Latitude: 42.08 # Easternmost_Longitude: 9.2 # Westernmost_Longitude: 9.2 # Elevation: 1500 m #-------------------- # Data_Collection # Collection_Name: europe_fran038B # Earliest_Year: 1797 # Most_Recent_Year: 1980 # 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":"4.31592006765","T2":"13.171080969","M1":"0.0221622753055","M2":"0.184730905423"}} #-------------------- # Species # Species_Name: silver fir # Species_Code: ABAL #-------------------- # 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 1797 0.842 1798 0.876 1799 0.866 1800 1.032 1801 1.109 1802 1.065 1803 0.761 1804 0.907 1805 1.009 1806 1.079 1807 1.035 1808 0.815 1809 0.914 1810 0.934 1811 1.042 1812 0.891 1813 1.02 1814 1.131 1815 1.177 1816 1.188 1817 1.125 1818 1.204 1819 1.257 1820 1.049 1821 0.876 1822 0.935 1823 0.802 1824 0.709 1825 0.911 1826 0.936 1827 0.79 1828 0.776 1829 0.82 1830 1.268 1831 1.153 1832 1.255 1833 1.046 1834 1.144 1835 0.985 1836 0.899 1837 0.86 1838 0.994 1839 0.879 1840 0.845 1841 1.086 1842 1.206 1843 1.487 1844 1.151 1845 1.066 1846 1.126 1847 0.717 1848 1.002 1849 0.923 1850 0.84 1851 1.199 1852 1.153 1853 1.141 1854 1.049 1855 0.842 1856 0.899 1857 0.933 1858 1.183 1859 1.3 1860 0.881 1861 0.872 1862 0.623 1863 0.806 1864 0.847 1865 0.68 1866 0.824 1867 1.192 1868 0.737 1869 0.961 1870 0.956 1871 1.274 1872 1.141 1873 1.068 1874 0.744 1875 1.015 1876 1.21 1877 1.12 1878 0.869 1879 0.604 1880 0.724 1881 0.753 1882 0.762 1883 0.781 1884 0.987 1885 1.172 1886 0.972 1887 0.99 1888 0.829 1889 1.148 1890 1.144 1891 1.048 1892 1.007 1893 1.147 1894 0.939 1895 0.829 1896 1.061 1897 1.347 1898 1.028 1899 1.032 1900 0.994 1901 0.86 1902 1.235 1903 1.077 1904 1.157 1905 0.954 1906 0.953 1907 0.894 1908 0.804 1909 0.851 1910 1.137 1911 1.266 1912 1.015 1913 1.425 1914 1.349 1915 1.387 1916 1.129 1917 0.968 1918 0.884 1919 0.736 1920 0.809 1921 0.788 1922 0.884 1923 1.018 1924 0.997 1925 1.102 1926 1.657 1927 1.035 1928 0.797 1929 0.772 1930 0.839 1931 0.527 1932 0.665 1933 0.759 1934 0.847 1935 0.894 1936 0.995 1937 1.155 1938 0.858 1939 0.883 1940 1.281 1941 1.277 1942 0.995 1943 1.049 1944 0.824 1945 1.062 1946 0.808 1947 0.652 1948 1.119 1949 1.571 1950 0.904 1951 0.894 1952 1.211 1953 0.852 1954 0.755 1955 0.853 1956 0.787 1957 0.81 1958 0.867 1959 1.052 1960 1.029 1961 1.208 1962 0.93 1963 0.726 1964 0.953 1965 0.82 1966 0.855 1967 1.003 1968 0.806 1969 1.235 1970 1.057 1971 0.937 1972 0.853 1973 1.082 1974 0.896 1975 1.118 1976 1.045 1977 1.047 1978 0.934 1979 0.695 1980 0.632