# europe_fran007 - Foret d'Halatte (Wet) - 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/4217 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_fran007 - Foret d'Halatte (Wet) - 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: Foret d'Halatte (Wet) # Location: # Country: France # Northernmost_Latitude: 49.23 # Southernmost_Latitude: 49.23 # Easternmost_Longitude: 2.57 # Westernmost_Longitude: 2.57 # Elevation: 140 m #-------------------- # Data_Collection # Collection_Name: europe_fran007B # Earliest_Year: 1824 # Most_Recent_Year: 1979 # 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":"4.93402639501","T2":"17.1775334725","M1":"0.0229137588719","M2":"0.49417531218"}} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 1824 0.918 1825 0.895 1826 0.728 1827 1.049 1828 1.355 1829 1.149 1830 1.325 1831 1.193 1832 1.031 1833 0.874 1834 0.974 1835 0.78 1836 0.821 1837 1.118 1838 1.134 1839 1.063 1840 1.145 1841 1.139 1842 0.93 1843 1.138 1844 1.043 1845 0.875 1846 0.653 1847 0.771 1848 1.089 1849 0.98 1850 1.103 1851 1.077 1852 0.98 1853 1.371 1854 0.945 1855 1.113 1856 0.991 1857 1.162 1858 0.921 1859 1.137 1860 1.617 1861 1.459 1862 1.171 1863 0.761 1864 0.673 1865 1.035 1866 0.868 1867 1.249 1868 0.98 1869 0.915 1870 0.498 1871 1.018 1872 0.665 1873 0.835 1874 0.68 1875 1.214 1876 0.997 1877 1.179 1878 1.224 1879 1.017 1880 0.809 1881 0.773 1882 0.737 1883 1.062 1884 1.142 1885 0.784 1886 0.782 1887 0.592 1888 0.931 1889 0.856 1890 0.949 1891 0.84 1892 0.734 1893 0.807 1894 0.942 1895 1.051 1896 0.69 1897 0.975 1898 0.92 1899 0.887 1900 0.892 1901 0.984 1902 0.936 1903 0.921 1904 0.926 1905 0.738 1906 0.781 1907 0.942 1908 0.799 1909 1.072 1910 1.119 1911 0.999 1912 0.98 1913 1.058 1914 1.111 1915 1.01 1916 1.18 1917 1.129 1918 1.055 1919 0.918 1920 0.766 1921 0.569 1922 0.768 1923 1.002 1924 1.038 1925 1.023 1926 1.02 1927 1.501 1928 1.127 1929 1.044 1930 0.881 1931 1.15 1932 1.074 1933 1.091 1934 0.867 1935 1.051 1936 1.506 1937 1.177 1938 0.854 1939 0.676 1940 0.725 1941 0.831 1942 1.105 1943 1.154 1944 0.808 1945 1.141 1946 1.345 1947 1.101 1948 1.183 1949 0.966 1950 1.155 1951 1.284 1952 1.076 1953 1.02 1954 0.867 1955 0.993 1956 0.841 1957 0.71 1958 0.737 1959 0.583 1960 0.79 1961 1.101 1962 1.22 1963 1.312 1964 1.037 1965 0.884 1966 0.93 1967 1.222 1968 1.065 1969 1.302 1970 1.469 1971 0.986 1972 0.909 1973 0.819 1974 0.518 1975 0.834 1976 0.826 1977 1.019 1978 1.401 1979 0.884