# europe_aust110 - Kammersteinhuette - 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/5057 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_aust110 - Kammersteinhuette - 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: Kammersteinhuette # Location: # Country: Austria # Northernmost_Latitude: 48.12 # Southernmost_Latitude: 48.12 # Easternmost_Longitude: 16.25 # Westernmost_Longitude: 16.25 # Elevation: 582 m #-------------------- # Data_Collection # Collection_Name: europe_aust110B # Earliest_Year: 1824 # Most_Recent_Year: 1995 # 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":"4.21460432167","T2":"15.7688445579","M1":"0.0224929659793","M2":"0.570190295288"}} #-------------------- # Species # Species_Name: Austrian pine # Species_Code: PINI #-------------------- # 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 0.958 1825 0.981 1826 1.047 1827 0.522 1828 0.877 1829 1.336 1830 0.884 1831 1.075 1832 0.884 1833 0.78 1834 0.774 1835 0.703 1836 0.723 1837 0.965 1838 0.64 1839 0.662 1840 1.298 1841 0.966 1842 1.162 1843 1.38 1844 1.269 1845 1.191 1846 1.274 1847 1.114 1848 1.02 1849 0.734 1850 0.887 1851 1.134 1852 0.778 1853 1.111 1854 1.186 1855 1.152 1856 1.121 1857 0.829 1858 0.87 1859 0.998 1860 0.967 1861 1.222 1862 1.151 1863 0.709 1864 1.121 1865 0.768 1866 1.021 1867 1.223 1868 0.848 1869 0.701 1870 1.044 1871 1.387 1872 0.933 1873 0.849 1874 1.056 1875 0.844 1876 1.181 1877 0.787 1878 1.231 1879 1.134 1880 0.919 1881 0.945 1882 1.016 1883 0.994 1884 1.311 1885 1.082 1886 0.938 1887 0.742 1888 0.83 1889 0.658 1890 0.855 1891 0.878 1892 1.033 1893 0.72 1894 0.992 1895 1.042 1896 0.989 1897 1.536 1898 1.506 1899 1.3 1900 1.016 1901 0.617 1902 1.405 1903 1.723 1904 0.838 1905 0.955 1906 1.523 1907 0.922 1908 0.912 1909 0.798 1910 1.234 1911 1.15 1912 1.671 1913 1.423 1914 1.517 1915 0.876 1916 1.524 1917 0.558 1918 0.971 1919 1.168 1920 1.342 1921 0.719 1922 0.33 1923 0.723 1924 0.549 1925 0.866 1926 1.267 1927 0.946 1928 0.813 1929 0.574 1930 0.488 1931 0.796 1932 0.972 1933 0.751 1934 0.499 1935 0.643 1936 1.059 1937 0.864 1938 0.912 1939 1.34 1940 1.378 1941 1.54 1942 1.342 1943 1.354 1944 0.99 1945 0.493 1946 0.622 1947 0.551 1948 0.415 1949 0.732 1950 0.53 1951 0.807 1952 0.738 1953 1.199 1954 1.067 1955 0.941 1956 0.677 1957 0.779 1958 1.112 1959 1.559 1960 1.069 1961 1.001 1962 0.647 1963 0.635 1964 0.776 1965 1.373 1966 1.501 1967 1.025 1968 0.626 1969 1.035 1970 1.269 1971 0.901 1972 1.196 1973 1.496 1974 0.797 1975 1.251 1976 0.576 1977 0.396 1978 0.704 1979 0.595 1980 0.586 1981 0.621 1982 0.981 1983 0.692 1984 0.788 1985 1.093 1986 0.852 1987 0.656 1988 0.657 1989 1.345 1990 1.1 1991 1.116 1992 1.119 1993 0.536 1994 1.285 1995 1.332