# europe_fran026 - Arette Col St. Martin - 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/4311 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_fran026 - Arette Col St. Martin - 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: Arette Col St. Martin # Location: # Country: France # Northernmost_Latitude: 42.98 # Southernmost_Latitude: 42.98 # Easternmost_Longitude: -0.75 # Westernmost_Longitude: -0.75 # Elevation: 1500 m #-------------------- # Data_Collection # Collection_Name: europe_fran026B # Earliest_Year: 1800 # Most_Recent_Year: 1977 # 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":"5.60661422782","T2":"14.5451256682","M1":"0.0231575442453","M2":"0.596531117941"}} #-------------------- # 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 1800 0.915 1801 0.944 1802 1.192 1803 0.476 1804 0.572 1805 0.69 1806 0.683 1807 0.825 1808 0.564 1809 0.547 1810 0.463 1811 0.717 1812 0.68 1813 0.597 1814 0.722 1815 0.512 1816 0.642 1817 0.685 1818 1.124 1819 0.799 1820 0.829 1821 0.796 1822 0.788 1823 0.885 1824 0.841 1825 1.443 1826 0.842 1827 0.852 1828 1.007 1829 1.078 1830 0.58 1831 1.463 1832 0.94 1833 1.041 1834 0.857 1835 1.205 1836 0.99 1837 1.28 1838 1.131 1839 1.009 1840 1.032 1841 0.852 1842 0.983 1843 0.895 1844 0.811 1845 0.961 1846 1.21 1847 0.853 1848 1.168 1849 0.991 1850 1.227 1851 1.128 1852 0.974 1853 1.026 1854 0.982 1855 1.005 1856 0.931 1857 0.971 1858 0.847 1859 0.963 1860 0.989 1861 0.889 1862 0.713 1863 0.838 1864 1.078 1865 1.213 1866 1.541 1867 1.535 1868 1.162 1869 1.02 1870 0.977 1871 0.906 1872 1.03 1873 1.09 1874 1.077 1875 0.733 1876 0.673 1877 1.106 1878 0.927 1879 0.937 1880 0.797 1881 0.924 1882 1.251 1883 1.111 1884 1.363 1885 1.404 1886 1.243 1887 1.236 1888 0.997 1889 1.12 1890 0.998 1891 0.786 1892 1.127 1893 0.955 1894 1.039 1895 1.017 1896 0.767 1897 0.771 1898 0.844 1899 0.626 1900 0.685 1901 0.865 1902 0.893 1903 1.09 1904 0.895 1905 0.895 1906 0.806 1907 1.022 1908 0.969 1909 0.67 1910 0.939 1911 1.02 1912 0.821 1913 1.422 1914 1.334 1915 1.31 1916 1.271 1917 1.289 1918 1.071 1919 0.964 1920 0.9 1921 0.98 1922 0.85 1923 0.927 1924 1.023 1925 1.094 1926 1.025 1927 1.049 1928 1.267 1929 1.317 1930 1.368 1931 1.392 1932 1.78 1933 1.092 1934 1.189 1935 1.225 1936 1.571 1937 1.584 1938 1.289 1939 1.241 1940 0.602 1941 0.942 1942 1.074 1943 0.957 1944 0.687 1945 0.692 1946 0.836 1947 0.894 1948 1.017 1949 0.931 1950 0.929 1951 0.782 1952 1.158 1953 0.96 1954 0.929 1955 0.828 1956 0.592 1957 0.69 1958 1.349 1959 1.001 1960 0.814 1961 0.727 1962 0.8 1963 0.464 1964 0.541 1965 0.372 1966 0.468 1967 0.406 1968 0.385 1969 0.409 1970 0.667 1971 0.692 1972 0.749 1973 0.791 1974 0.728 1975 0.417 1976 0.683 1977 0.565