# europe_germ034 - Steinach - 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/5273 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_germ034 - Steinach - 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: Steinach # Location: # Country: Germany # Northernmost_Latitude: 48.92 # Southernmost_Latitude: 48.92 # Easternmost_Longitude: 12.58 # Westernmost_Longitude: 12.58 # Elevation: 370 m #-------------------- # Data_Collection # Collection_Name: europe_germ034B # Earliest_Year: 1853 # Most_Recent_Year: 1998 # 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":"2.92803906147","T2":"13.0467641452","M1":"0.0224805370564","M2":"0.595510724635"}} #-------------------- # 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 1853 0.713 1854 0.569 1855 0.423 1856 0.587 1857 0.227 1858 0.432 1859 0.505 1860 0.461 1861 0.495 1862 0.189 1863 0.483 1864 0.6 1865 0.488 1866 0.637 1867 0.73 1868 0.533 1869 0.693 1870 0.449 1871 0.776 1872 1.033 1873 1.008 1874 0.853 1875 0.938 1876 0.978 1877 0.878 1878 1.188 1879 1.082 1880 1.023 1881 1.016 1882 1.068 1883 0.903 1884 0.833 1885 0.734 1886 0.85 1887 0.964 1888 1.029 1889 0.837 1890 1.385 1891 1.33 1892 1.018 1893 0.788 1894 1.219 1895 1.36 1896 1.412 1897 1.525 1898 1.259 1899 0.847 1900 0.798 1901 0.922 1902 1.177 1903 0.802 1904 0.777 1905 0.649 1906 1.051 1907 1.008 1908 0.829 1909 0.809 1910 0.958 1911 0.772 1912 1.248 1913 1.451 1914 1.734 1915 0.897 1916 0.934 1917 0.673 1918 0.836 1919 1.11 1920 0.99 1921 0.397 1922 0.402 1923 0.784 1924 1.129 1925 1.155 1926 1.834 1927 1.609 1928 1.104 1929 0.871 1930 0.804 1931 0.705 1932 1.006 1933 1.403 1934 0.497 1935 0.675 1936 1.088 1937 1.155 1938 0.786 1939 1.034 1940 1.287 1941 1.223 1942 0.633 1943 0.935 1944 0.986 1945 0.907 1946 0.447 1947 0.519 1948 0.369 1949 0.81 1950 0.511 1951 0.508 1952 0.496 1953 0.741 1954 0.711 1955 1.513 1956 2.072 1957 2.18 1958 1.353 1959 1.219 1960 0.937 1961 1.116 1962 0.754 1963 0.851 1964 0.482 1965 0.923 1966 1.333 1967 1.3 1968 1.042 1969 1.033 1970 0.789 1971 0.631 1972 0.766 1973 0.655 1974 0.592 1975 0.838 1976 0.367 1977 0.911 1978 1.0 1979 0.829 1980 0.556 1981 0.831 1982 0.472 1983 0.584 1984 0.669 1985 1.097 1986 1.024 1987 1.335 1988 1.301 1989 1.663 1990 1.397 1991 1.432 1992 0.781 1993 0.848 1994 0.831 1995 0.95 1996 1.143 1997 1.399 1998 0.952