# europe_fran023 - Roc de Perches Blancas - 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/4615 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_fran023 - Roc de Perches Blancas - 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: Roc de Perches Blancas # Location: # Country: France # Northernmost_Latitude: 42.6 # Southernmost_Latitude: 42.6 # Easternmost_Longitude: 2.05 # Westernmost_Longitude: 2.05 # Elevation: 2100 m #-------------------- # Data_Collection # Collection_Name: europe_fran023B # Earliest_Year: 1787 # Most_Recent_Year: 1977 # 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":"5.59464231677","T2":"19.6558293317","M1":"0.0224913062928","M2":"0.260286860537"}} #-------------------- # Species # Species_Name: krummholz pine # Species_Code: PIMU #-------------------- # 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 1787 0.904 1788 1.125 1789 1.028 1790 0.907 1791 0.943 1792 0.813 1793 0.82 1794 0.851 1795 1.044 1796 1.042 1797 0.92 1798 1.061 1799 1.005 1800 0.99 1801 1.031 1802 1.087 1803 0.987 1804 0.989 1805 1.144 1806 0.889 1807 1.279 1808 1.198 1809 0.873 1810 0.828 1811 0.967 1812 1.053 1813 0.889 1814 0.893 1815 0.892 1816 0.827 1817 0.799 1818 1.013 1819 1.056 1820 0.883 1821 0.831 1822 0.831 1823 1.026 1824 0.894 1825 1.163 1826 0.948 1827 0.954 1828 1.272 1829 1.111 1830 0.931 1831 1.208 1832 1.013 1833 0.876 1834 0.881 1835 0.945 1836 0.958 1837 1.108 1838 1.156 1839 0.926 1840 0.967 1841 1.041 1842 0.911 1843 1.093 1844 1.108 1845 0.985 1846 1.216 1847 0.921 1848 0.99 1849 1.002 1850 0.943 1851 0.918 1852 1.062 1853 1.025 1854 0.959 1855 0.78 1856 0.792 1857 0.941 1858 0.846 1859 1.135 1860 0.896 1861 0.96 1862 0.987 1863 1.044 1864 1.247 1865 1.091 1866 0.918 1867 1.067 1868 1.023 1869 1.155 1870 0.927 1871 1.04 1872 0.898 1873 0.945 1874 0.957 1875 1.098 1876 0.996 1877 0.974 1878 1.136 1879 0.834 1880 0.802 1881 0.961 1882 0.868 1883 0.834 1884 1.106 1885 1.238 1886 0.998 1887 1.038 1888 0.883 1889 1.199 1890 1.036 1891 1.037 1892 1.201 1893 1.121 1894 1.032 1895 0.824 1896 0.713 1897 0.853 1898 0.876 1899 0.778 1900 0.739 1901 0.761 1902 0.895 1903 0.925 1904 1.031 1905 0.927 1906 1.019 1907 0.87 1908 0.872 1909 0.773 1910 0.976 1911 1.234 1912 0.815 1913 0.867 1914 0.799 1915 0.968 1916 0.967 1917 1.039 1918 0.959 1919 0.918 1920 1.125 1921 1.097 1922 0.933 1923 1.038 1924 1.104 1925 1.134 1926 0.999 1927 1.061 1928 1.194 1929 1.024 1930 1.117 1931 1.122 1932 1.154 1933 1.17 1934 0.813 1935 1.087 1936 0.953 1937 0.934 1938 0.907 1939 1.082 1940 1.068 1941 0.996 1942 0.893 1943 0.886 1944 0.802 1945 0.772 1946 1.006 1947 1.019 1948 1.027 1949 1.12 1950 1.037 1951 1.0 1952 1.156 1953 1.087 1954 0.958 1955 1.003 1956 0.983 1957 0.704 1958 0.951 1959 0.802 1960 0.738 1961 0.858 1962 0.64 1963 0.551 1964 0.882 1965 0.767 1966 0.921 1967 0.911 1968 1.025 1969 1.205 1970 1.549 1971 1.241 1972 0.964 1973 1.347 1974 1.106 1975 1.014 1976 1.233 1977 1.085