# europe_fran025 - Miraules Refuge - 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/4530 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_fran025 - Miraules Refuge - 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: Miraules Refuge # Location: # Country: France # Northernmost_Latitude: 42.47 # Southernmost_Latitude: 42.47 # Easternmost_Longitude: 2.4 # Westernmost_Longitude: 2.4 # Elevation: 1720 m #-------------------- # Data_Collection # Collection_Name: europe_fran025B # Earliest_Year: 1846 # 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":"3.7752818074","T2":"13.2250406164","M1":"0.0230450744319","M2":"0.578754908447"}} #-------------------- # 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 1846 1.279 1847 1.027 1848 1.157 1849 1.212 1850 0.883 1851 1.026 1852 0.825 1853 0.823 1854 0.563 1855 0.659 1856 0.746 1857 0.662 1858 0.581 1859 0.773 1860 0.626 1861 0.914 1862 0.695 1863 0.744 1864 1.013 1865 0.828 1866 0.982 1867 1.056 1868 0.876 1869 1.049 1870 0.989 1871 1.025 1872 1.1 1873 1.121 1874 1.155 1875 1.108 1876 1.268 1877 1.145 1878 1.382 1879 1.072 1880 1.271 1881 1.34 1882 1.07 1883 1.079 1884 1.209 1885 1.243 1886 1.227 1887 1.173 1888 1.138 1889 1.182 1890 1.069 1891 1.037 1892 0.929 1893 1.266 1894 1.123 1895 1.038 1896 0.901 1897 1.116 1898 1.051 1899 1.063 1900 0.976 1901 0.896 1902 1.134 1903 1.214 1904 1.093 1905 1.021 1906 0.995 1907 0.86 1908 0.956 1909 1.044 1910 1.128 1911 1.207 1912 1.003 1913 1.131 1914 1.141 1915 0.994 1916 1.072 1917 0.991 1918 1.161 1919 1.215 1920 1.149 1921 1.056 1922 0.835 1923 0.856 1924 0.498 1925 0.698 1926 0.88 1927 0.695 1928 0.662 1929 0.506 1930 0.9 1931 0.633 1932 0.863 1933 0.932 1934 0.697 1935 0.85 1936 1.181 1937 1.093 1938 0.981 1939 1.057 1940 1.153 1941 1.05 1942 0.791 1943 0.969 1944 1.016 1945 0.788 1946 0.764 1947 0.842 1948 0.856 1949 0.851 1950 0.736 1951 0.868 1952 1.21 1953 0.898 1954 0.83 1955 0.972 1956 0.771 1957 0.825 1958 0.722 1959 0.954 1960 0.93 1961 0.994 1962 0.859 1963 0.737 1964 1.025 1965 0.759 1966 1.075 1967 1.11 1968 0.93 1969 1.117 1970 1.192 1971 0.97 1972 1.006 1973 1.315 1974 1.175 1975 1.249 1976 1.362 1977 1.351