# europe_fran8 - Mt. Ventoux (facing North) - 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/5111 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_fran8 - Mt. Ventoux (facing North) - 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: Mt. Ventoux (facing North) # Location: # Country: France # Northernmost_Latitude: 44.17 # Southernmost_Latitude: 44.17 # Easternmost_Longitude: 5.25 # Westernmost_Longitude: 5.25 # Elevation: 1400 m #-------------------- # Data_Collection # Collection_Name: europe_fran8B # Earliest_Year: 1839 # Most_Recent_Year: 1979 # 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":"4.78849273969","T2":"15.2745736029","M1":"0.0221244937469","M2":"0.578769360295"}} #-------------------- # 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 1839 0.596 1840 0.902 1841 1.147 1842 1.196 1843 1.284 1844 1.137 1845 1.182 1846 1.497 1847 1.034 1848 0.887 1849 0.649 1850 1.183 1851 1.153 1852 1.29 1853 1.263 1854 1.232 1855 0.756 1856 0.842 1857 1.088 1858 0.89 1859 0.877 1860 0.976 1861 1.247 1862 1.138 1863 1.151 1864 1.058 1865 1.145 1866 1.206 1867 1.36 1868 1.022 1869 0.853 1870 0.608 1871 0.834 1872 1.124 1873 1.06 1874 1.151 1875 1.15 1876 0.938 1877 0.891 1878 1.378 1879 0.708 1880 0.863 1881 0.797 1882 0.929 1883 1.017 1884 1.122 1885 0.859 1886 0.94 1887 1.043 1888 1.074 1889 1.064 1890 0.923 1891 0.856 1892 1.088 1893 1.019 1894 1.15 1895 0.895 1896 0.971 1897 0.9 1898 0.713 1899 0.791 1900 0.749 1901 0.856 1902 0.785 1903 1.213 1904 1.272 1905 1.047 1906 0.632 1907 0.929 1908 1.197 1909 0.869 1910 0.978 1911 0.912 1912 1.023 1913 1.174 1914 1.512 1915 1.238 1916 1.257 1917 1.043 1918 0.666 1919 0.512 1920 0.865 1921 0.467 1922 0.623 1923 0.667 1924 0.671 1925 1.068 1926 0.984 1927 1.221 1928 0.786 1929 0.883 1930 1.451 1931 1.094 1932 1.15 1933 1.009 1934 0.902 1935 0.563 1936 0.763 1937 0.762 1938 0.896 1939 1.259 1940 1.246 1941 1.309 1942 0.814 1943 1.028 1944 1.578 1945 1.064 1946 1.013 1947 1.174 1948 1.056 1949 0.862 1950 0.599 1951 1.123 1952 0.824 1953 0.952 1954 0.977 1955 1.47 1956 0.948 1957 0.846 1958 1.17 1959 1.268 1960 0.893 1961 1.142 1962 0.507 1963 1.038 1964 1.286 1965 1.013 1966 1.06 1967 0.951 1968 0.998 1969 1.184 1970 0.879 1971 1.101 1972 0.97 1973 1.206 1974 0.609 1975 0.756 1976 0.693 1977 0.896 1978 0.843 1979 0.629