# europe_aust006 - Mariazell Gemeindealpe - 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/4525 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_aust006 - Mariazell Gemeindealpe - 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: Mariazell Gemeindealpe # Location: # Country: Austria # Northernmost_Latitude: 47.78 # Southernmost_Latitude: 47.78 # Easternmost_Longitude: 15.3 # Westernmost_Longitude: 15.3 # Elevation: 1380 m #-------------------- # Data_Collection # Collection_Name: europe_aust006B # Earliest_Year: 1843 # Most_Recent_Year: 1975 # 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":"5.35701708409","T2":"15.4492924926","M1":"0.0222280226252","M2":"0.435669740299"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1843 1.051 1844 0.956 1845 1.133 1846 1.173 1847 1.009 1848 0.784 1849 0.56 1850 0.809 1851 0.958 1852 1.159 1853 1.13 1854 1.054 1855 0.972 1856 0.737 1857 0.891 1858 0.981 1859 0.919 1860 0.911 1861 0.913 1862 1.165 1863 0.935 1864 0.984 1865 0.87 1866 1.079 1867 1.255 1868 1.019 1869 1.157 1870 1.166 1871 0.926 1872 0.749 1873 0.984 1874 0.868 1875 1.039 1876 1.001 1877 0.947 1878 0.804 1879 0.889 1880 1.019 1881 1.191 1882 1.087 1883 0.93 1884 0.888 1885 0.755 1886 0.777 1887 0.957 1888 0.991 1889 1.133 1890 1.155 1891 0.996 1892 1.091 1893 1.044 1894 1.205 1895 1.2 1896 1.206 1897 1.088 1898 0.959 1899 1.026 1900 0.877 1901 0.783 1902 0.893 1903 1.013 1904 0.872 1905 1.025 1906 0.806 1907 0.874 1908 0.907 1909 0.92 1910 1.009 1911 0.969 1912 0.912 1913 0.859 1914 0.923 1915 1.045 1916 1.245 1917 1.196 1918 1.152 1919 1.181 1920 1.089 1921 1.172 1922 0.974 1923 1.07 1924 1.256 1925 1.237 1926 1.077 1927 1.204 1928 0.937 1929 0.804 1930 0.765 1931 0.955 1932 1.086 1933 0.921 1934 1.134 1935 1.118 1936 1.028 1937 1.129 1938 1.055 1939 1.007 1940 1.087 1941 1.098 1942 1.011 1943 0.867 1944 1.133 1945 1.037 1946 1.239 1947 1.028 1948 0.628 1949 0.803 1950 0.688 1951 0.844 1952 0.835 1953 1.02 1954 0.907 1955 1.056 1956 1.002 1957 1.033 1958 0.79 1959 0.852 1960 0.865 1961 1.014 1962 0.993 1963 1.024 1964 0.99 1965 0.89 1966 1.122 1967 1.147 1968 0.973 1969 1.07 1970 1.001 1971 0.919 1972 0.917 1973 0.858 1974 0.584 1975 0.814