# europe_fran008 - Marseille - 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/4753 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_fran008 - Marseille - 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: Marseille # Location: # Country: France # Northernmost_Latitude: 43.35 # Southernmost_Latitude: 43.35 # Easternmost_Longitude: 5.0 # Westernmost_Longitude: 5.0 # Elevation: 200 m #-------------------- # Data_Collection # Collection_Name: europe_fran008B # Earliest_Year: 1835 # Most_Recent_Year: 1973 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.38621347044","T2":"14.6696978162","M1":"0.0229650814721","M2":"0.573797198042"}} #-------------------- # Species # Species_Name: Aleppo pine # Species_Code: PIHA #-------------------- # 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 1835 1.912 1836 1.472 1837 1.073 1838 1.231 1839 0.9 1840 1.322 1841 1.106 1842 1.134 1843 1.315 1844 1.102 1845 1.204 1846 1.038 1847 0.953 1848 1.127 1849 0.883 1850 0.842 1851 0.844 1852 0.711 1853 1.023 1854 0.92 1855 1.064 1856 1.298 1857 0.708 1858 0.718 1859 0.726 1860 0.987 1861 0.926 1862 0.601 1863 1.137 1864 0.557 1865 0.929 1866 1.256 1867 0.64 1868 0.334 1869 0.598 1870 0.711 1871 0.948 1872 1.739 1873 1.442 1874 1.63 1875 0.677 1876 1.021 1877 0.483 1878 0.284 1879 1.531 1880 1.255 1881 0.873 1882 0.562 1883 1.203 1884 0.852 1885 1.039 1886 1.227 1887 1.386 1888 1.397 1889 1.592 1890 1.369 1891 0.873 1892 1.005 1893 1.053 1894 0.706 1895 0.631 1896 0.166 1897 0.867 1898 1.405 1899 1.401 1900 0.815 1901 1.002 1902 1.076 1903 0.424 1904 0.755 1905 0.731 1906 0.846 1907 1.145 1908 1.237 1909 0.713 1910 1.17 1911 1.207 1912 0.848 1913 1.317 1914 1.115 1915 1.34 1916 1.018 1917 0.972 1918 0.815 1919 0.773 1920 1.003 1921 0.76 1922 0.433 1923 0.743 1924 1.045 1925 1.034 1926 0.963 1927 0.768 1928 0.905 1929 -0.016 1930 0.416 1931 0.104 1932 1.05 1933 1.052 1934 1.451 1935 1.577 1936 1.924 1937 1.214 1938 1.612 1939 1.486 1940 1.162 1941 1.502 1942 1.347 1943 1.26 1944 1.477 1945 0.362 1946 0.937 1947 0.766 1948 1.51 1949 0.911 1950 0.71 1951 1.269 1952 1.258 1953 0.532 1954 0.967 1955 0.781 1956 -0.011 1957 0.135 1958 0.284 1959 0.401 1960 0.697 1961 1.101 1962 0.834 1963 1.154 1964 1.192 1965 0.408 1966 0.704 1967 0.558 1968 0.998 1969 1.58 1970 0.623 1971 0.799 1972 1.315 1973 1.473