# europe_pola019 - Swistowko Wyznig - 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/4674 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_pola019 - Swistowko Wyznig - 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: Swistowko Wyznig # Location: # Country: Poland # Northernmost_Latitude: 49.25 # Southernmost_Latitude: 49.25 # Easternmost_Longitude: 19.92 # Westernmost_Longitude: 19.92 # Elevation: 1500 m #-------------------- # Data_Collection # Collection_Name: europe_pola019B # Earliest_Year: 1799 # Most_Recent_Year: 1978 # 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":"6.97251749631","T2":"18.7110362749","M1":"0.0225937893062","M2":"0.375544958275"}} #-------------------- # 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 1799 0.769 1800 0.949 1801 0.869 1802 0.943 1803 0.661 1804 0.744 1805 0.623 1806 0.752 1807 0.772 1808 0.644 1809 0.785 1810 0.88 1811 1.22 1812 0.865 1813 0.638 1814 0.749 1815 0.718 1816 0.779 1817 1.159 1818 0.709 1819 0.983 1820 0.741 1821 0.594 1822 0.886 1823 0.789 1824 1.113 1825 1.05 1826 1.275 1827 1.26 1828 1.043 1829 1.197 1830 1.174 1831 1.014 1832 0.698 1833 0.974 1834 1.063 1835 0.831 1836 0.884 1837 0.756 1838 0.781 1839 0.982 1840 0.938 1841 1.049 1842 1.05 1843 0.919 1844 1.038 1845 0.911 1846 1.108 1847 0.864 1848 1.02 1849 1.117 1850 1.131 1851 0.76 1852 1.102 1853 1.126 1854 1.072 1855 1.23 1856 0.951 1857 1.077 1858 0.863 1859 0.801 1860 0.85 1861 0.922 1862 0.943 1863 1.028 1864 0.844 1865 0.702 1866 0.848 1867 0.756 1868 0.985 1869 0.682 1870 0.801 1871 0.828 1872 0.719 1873 0.881 1874 1.3 1875 1.511 1876 1.242 1877 1.272 1878 1.262 1879 1.101 1880 1.267 1881 1.237 1882 0.949 1883 0.906 1884 0.91 1885 0.984 1886 0.725 1887 0.848 1888 1.144 1889 1.258 1890 1.025 1891 1.035 1892 1.226 1893 0.922 1894 1.006 1895 1.253 1896 1.175 1897 1.166 1898 1.116 1899 1.016 1900 0.988 1901 0.917 1902 0.972 1903 0.845 1904 1.201 1905 1.058 1906 0.959 1907 0.943 1908 0.947 1909 0.815 1910 0.804 1911 0.975 1912 0.931 1913 0.753 1914 0.772 1915 1.106 1916 1.22 1917 1.503 1918 0.875 1919 0.948 1920 0.878 1921 0.915 1922 1.315 1923 1.029 1924 1.484 1925 1.093 1926 1.265 1927 1.305 1928 0.937 1929 0.87 1930 1.125 1931 1.427 1932 1.106 1933 1.049 1934 0.94 1935 1.064 1936 1.361 1937 1.449 1938 1.186 1939 1.422 1940 1.351 1941 1.345 1942 1.213 1943 0.844 1944 1.25 1945 1.307 1946 1.56 1947 0.889 1948 0.742 1949 0.686 1950 1.029 1951 0.899 1952 1.095 1953 1.118 1954 1.072 1955 1.004 1956 0.887 1957 1.104 1958 0.958 1959 0.855 1960 0.819 1961 0.989 1962 0.894 1963 1.068 1964 0.833 1965 0.77 1966 0.915 1967 0.936 1968 1.0 1969 0.821 1970 0.754 1971 0.568 1972 0.552 1973 0.396 1974 0.389 1975 0.552 1976 0.678 1977 0.718 1978 0.388