# europe_gree011 - Zagradeniye Forest - 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/3818 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_gree011 - Zagradeniye Forest - 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: Zagradeniye Forest # Location: # Country: Greece # Northernmost_Latitude: 41.67 # Southernmost_Latitude: 41.67 # Easternmost_Longitude: 24.88 # Westernmost_Longitude: 24.88 # Elevation: 1320 m #-------------------- # Data_Collection # Collection_Name: europe_gree011B # Earliest_Year: 1772 # Most_Recent_Year: 1978 # 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":"3.61429436174","T2":"12.9935103875","M1":"0.0227766044014","M2":"0.576199987772"}} #-------------------- # 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 1772 1.058 1773 0.742 1774 0.968 1775 1.039 1776 1.008 1777 0.779 1778 0.978 1779 0.946 1780 1.058 1781 0.906 1782 0.878 1783 0.772 1784 0.938 1785 0.93 1786 0.892 1787 0.853 1788 1.075 1789 1.036 1790 0.987 1791 0.701 1792 0.804 1793 0.772 1794 0.801 1795 0.916 1796 0.837 1797 0.822 1798 0.954 1799 1.108 1800 1.023 1801 0.808 1802 0.93 1803 1.077 1804 1.446 1805 1.183 1806 1.054 1807 0.965 1808 0.637 1809 0.842 1810 1.194 1811 1.24 1812 1.09 1813 1.111 1814 1.301 1815 1.26 1816 1.235 1817 1.045 1818 1.196 1819 1.045 1820 0.932 1821 0.888 1822 1.189 1823 1.064 1824 1.057 1825 0.864 1826 1.038 1827 0.989 1828 0.918 1829 0.862 1830 0.703 1831 0.761 1832 0.857 1833 0.851 1834 0.728 1835 0.929 1836 1.139 1837 1.264 1838 0.976 1839 0.853 1840 0.594 1841 0.87 1842 0.939 1843 0.976 1844 0.943 1845 0.874 1846 0.912 1847 0.935 1848 0.871 1849 0.687 1850 0.916 1851 0.84 1852 0.911 1853 1.087 1854 0.767 1855 1.019 1856 0.901 1857 1.029 1858 1.029 1859 1.219 1860 0.97 1861 0.742 1862 0.802 1863 0.798 1864 0.894 1865 1.021 1866 1.256 1867 0.963 1868 0.684 1869 0.977 1870 0.927 1871 1.128 1872 1.018 1873 0.959 1874 0.703 1875 0.849 1876 1.313 1877 1.195 1878 0.94 1879 1.044 1880 0.747 1881 1.194 1882 0.96 1883 0.84 1884 1.02 1885 1.068 1886 0.888 1887 0.711 1888 0.697 1889 0.791 1890 0.881 1891 0.748 1892 0.593 1893 0.516 1894 0.663 1895 0.575 1896 0.705 1897 0.881 1898 1.079 1899 1.136 1900 1.206 1901 1.184 1902 1.216 1903 1.055 1904 0.963 1905 0.963 1906 1.04 1907 0.845 1908 0.746 1909 0.668 1910 0.73 1911 1.021 1912 1.228 1913 1.391 1914 1.501 1915 1.478 1916 1.396 1917 1.552 1918 1.041 1919 0.982 1920 1.108 1921 0.98 1922 1.059 1923 0.902 1924 0.849 1925 0.941 1926 0.984 1927 0.957 1928 0.926 1929 0.796 1930 0.898 1931 0.78 1932 0.732 1933 0.901 1934 1.024 1935 1.076 1936 1.143 1937 1.018 1938 1.022 1939 1.085 1940 1.168 1941 1.411 1942 1.373 1943 1.06 1944 1.084 1945 0.875 1946 0.791 1947 0.668 1948 0.827 1949 0.69 1950 1.161 1951 1.14 1952 1.201 1953 0.935 1954 0.938 1955 1.014 1956 0.983 1957 1.092 1958 1.038 1959 1.039 1960 1.584 1961 1.477 1962 1.252 1963 0.964 1964 1.027 1965 1.081 1966 1.038 1967 1.165 1968 0.862 1969 0.872 1970 0.995 1971 1.009 1972 1.415 1973 1.213 1974 1.217 1975 1.267 1976 1.257 1977 1.264 1978 1.223