# europe_pola018 - Zielona Gora - 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/5226 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_pola018 - Zielona Gora - 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: Zielona Gora # Location: # Country: Poland # Northernmost_Latitude: 51.87 # Southernmost_Latitude: 51.87 # Easternmost_Longitude: 15.57 # Westernmost_Longitude: 15.57 # Elevation: 70 m #-------------------- # Data_Collection # Collection_Name: europe_pola018B # Earliest_Year: 1817 # Most_Recent_Year: 1986 # 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":"5.14007407982","T2":"15.8440787618","M1":"0.0229311286492","M2":"0.519011925872"}} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 1817 1.01 1818 0.601 1819 0.52 1820 0.707 1821 0.58 1822 0.776 1823 0.925 1824 0.873 1825 1.185 1826 0.823 1827 1.383 1828 1.802 1829 1.62 1830 0.981 1831 1.379 1832 1.297 1833 1.296 1834 1.631 1835 1.198 1836 1.144 1837 1.46 1838 0.92 1839 1.168 1840 0.587 1841 0.544 1842 0.863 1843 1.051 1844 1.137 1845 1.327 1846 1.31 1847 1.176 1848 1.062 1849 1.011 1850 1.297 1851 1.373 1852 1.491 1853 1.384 1854 0.981 1855 1.188 1856 0.974 1857 0.83 1858 0.878 1859 0.895 1860 0.926 1861 1.102 1862 1.011 1863 0.907 1864 0.773 1865 0.914 1866 0.743 1867 0.988 1868 0.85 1869 1.044 1870 1.064 1871 0.923 1872 0.642 1873 0.674 1874 0.753 1875 1.179 1876 0.883 1877 0.973 1878 1.081 1879 1.283 1880 1.176 1881 1.019 1882 0.792 1883 0.852 1884 1.198 1885 1.068 1886 1.11 1887 1.028 1888 0.983 1889 0.965 1890 0.761 1891 0.859 1892 0.849 1893 0.79 1894 0.95 1895 1.014 1896 0.976 1897 0.914 1898 0.925 1899 1.036 1900 0.77 1901 0.836 1902 0.922 1903 0.962 1904 0.81 1905 0.94 1906 0.845 1907 0.745 1908 0.757 1909 0.666 1910 0.845 1911 0.953 1912 0.867 1913 0.955 1914 0.787 1915 0.896 1916 0.912 1917 0.949 1918 0.891 1919 1.016 1920 0.933 1921 0.822 1922 0.738 1923 0.688 1924 0.73 1925 0.771 1926 0.949 1927 1.325 1928 1.068 1929 0.814 1930 0.658 1931 0.828 1932 0.867 1933 0.836 1934 0.727 1935 0.814 1936 0.771 1937 0.768 1938 0.798 1939 0.772 1940 0.567 1941 0.705 1942 0.813 1943 0.89 1944 0.867 1945 1.075 1946 1.086 1947 0.992 1948 1.034 1949 1.041 1950 1.133 1951 1.167 1952 0.951 1953 1.008 1954 1.176 1955 1.461 1956 1.221 1957 1.232 1958 1.221 1959 0.984 1960 1.283 1961 1.2 1962 1.391 1963 1.472 1964 1.28 1965 1.207 1966 1.204 1967 1.152 1968 1.223 1969 1.32 1970 1.249 1971 0.977 1972 0.893 1973 1.181 1974 0.953 1975 1.134 1976 0.885 1977 1.124 1978 1.019 1979 1.005 1980 0.795 1981 0.931 1982 1.34 1983 1.149 1984 1.115 1985 1.055 1986 1.233