# europe_germ036 - Sinzing - 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/5272 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_germ036 - Sinzing - 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: Sinzing # Location: # Country: Germany # Northernmost_Latitude: 48.97 # Southernmost_Latitude: 48.97 # Easternmost_Longitude: 11.98 # Westernmost_Longitude: 11.98 # Elevation: 425 m #-------------------- # Data_Collection # Collection_Name: europe_germ036B # Earliest_Year: 1857 # Most_Recent_Year: 1996 # 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":"3.91157419253","T2":"14.387187304","M1":"0.0226211612606","M2":"0.543878240019"}} #-------------------- # 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 1857 0.636 1858 0.486 1859 0.564 1860 0.509 1861 0.87 1862 0.633 1863 1.078 1864 1.159 1865 0.604 1866 1.097 1867 1.168 1868 0.825 1869 0.939 1870 0.447 1871 0.776 1872 1.081 1873 1.386 1874 1.148 1875 1.14 1876 1.043 1877 0.856 1878 1.336 1879 1.518 1880 1.424 1881 1.275 1882 1.428 1883 1.45 1884 1.109 1885 0.831 1886 0.618 1887 0.571 1888 0.988 1889 0.863 1890 1.115 1891 1.144 1892 1.008 1893 1.064 1894 1.011 1895 1.088 1896 1.045 1897 1.546 1898 1.318 1899 0.839 1900 0.801 1901 0.885 1902 0.93 1903 0.718 1904 0.714 1905 0.719 1906 0.967 1907 0.837 1908 0.656 1909 0.943 1910 1.049 1911 0.924 1912 1.176 1913 1.085 1914 1.079 1915 0.794 1916 1.075 1917 0.767 1918 0.862 1919 1.0 1920 1.123 1921 0.241 1922 0.448 1923 0.869 1924 1.112 1925 1.259 1926 1.908 1927 1.838 1928 1.212 1929 0.476 1930 0.64 1931 0.887 1932 0.997 1933 0.987 1934 0.502 1935 0.413 1936 0.664 1937 1.011 1938 0.984 1939 1.148 1940 0.897 1941 1.169 1942 1.137 1943 1.373 1944 1.174 1945 1.014 1946 1.047 1947 1.165 1948 0.921 1949 1.133 1950 1.342 1951 0.736 1952 0.83 1953 0.953 1954 0.803 1955 1.014 1956 0.787 1957 0.929 1958 1.053 1959 1.042 1960 0.768 1961 1.091 1962 0.658 1963 1.033 1964 0.763 1965 0.791 1966 0.883 1967 0.814 1968 0.895 1969 0.93 1970 0.971 1971 0.676 1972 0.756 1973 0.632 1974 0.885 1975 1.004 1976 0.321 1977 0.892 1978 1.087 1979 0.9 1980 0.819 1981 1.091 1982 0.765 1983 1.247 1984 1.167 1985 1.37 1986 1.092 1987 1.099 1988 1.424 1989 1.814 1990 1.127 1991 1.104 1992 0.791 1993 0.64 1994 0.61 1995 0.579 1996 0.657