# europe_gree001 - Katara Pass Metsovan - 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/4455 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_gree001 - Katara Pass Metsovan - 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: Katara Pass Metsovan # Location: # Country: Greece # Northernmost_Latitude: 39.8 # Southernmost_Latitude: 39.8 # Easternmost_Longitude: 21.22 # Westernmost_Longitude: 21.22 # Elevation: 1750 m #-------------------- # Data_Collection # Collection_Name: europe_gree001B # Earliest_Year: 1722 # Most_Recent_Year: 1981 # 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":"4.6561441431","T2":"15.5706085692","M1":"0.0223879557653","M2":"0.483545927491"}} #-------------------- # Species # Species_Name: Bosnian pine # Species_Code: PILE #-------------------- # 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 1722 1.099 1723 1.161 1724 1.292 1725 0.737 1726 0.872 1727 0.889 1728 0.884 1729 0.814 1730 1.02 1731 0.934 1732 0.981 1733 1.296 1734 1.038 1735 1.146 1736 1.163 1737 1.121 1738 1.22 1739 1.223 1740 1.176 1741 1.071 1742 0.981 1743 1.015 1744 1.032 1745 1.096 1746 0.953 1747 0.882 1748 1.024 1749 1.002 1750 0.866 1751 1.041 1752 0.845 1753 0.901 1754 1.073 1755 1.191 1756 1.118 1757 0.959 1758 0.864 1759 0.902 1760 0.779 1761 0.894 1762 1.074 1763 0.709 1764 0.908 1765 1.046 1766 1.098 1767 1.092 1768 1.022 1769 0.956 1770 0.799 1771 0.935 1772 0.838 1773 0.842 1774 1.078 1775 1.059 1776 1.149 1777 1.163 1778 1.57 1779 1.039 1780 1.188 1781 0.932 1782 0.787 1783 0.876 1784 0.687 1785 0.676 1786 0.64 1787 0.651 1788 0.927 1789 0.862 1790 0.938 1791 1.208 1792 1.088 1793 1.049 1794 1.176 1795 1.174 1796 1.101 1797 1.065 1798 1.05 1799 1.264 1800 1.047 1801 0.816 1802 0.931 1803 0.936 1804 0.64 1805 0.364 1806 0.418 1807 0.543 1808 0.741 1809 0.752 1810 0.965 1811 1.151 1812 1.312 1813 1.235 1814 1.759 1815 1.617 1816 1.382 1817 1.32 1818 1.524 1819 1.265 1820 1.201 1821 1.124 1822 1.284 1823 0.902 1824 0.747 1825 0.766 1826 0.812 1827 0.811 1828 0.851 1829 0.797 1830 0.676 1831 0.761 1832 0.918 1833 0.74 1834 0.836 1835 0.971 1836 1.066 1837 1.204 1838 0.928 1839 0.996 1840 0.951 1841 1.098 1842 1.045 1843 1.044 1844 0.888 1845 1.048 1846 0.974 1847 0.814 1848 0.673 1849 0.613 1850 0.604 1851 0.579 1852 0.592 1853 0.505 1854 0.615 1855 0.725 1856 0.715 1857 0.776 1858 0.865 1859 0.972 1860 1.083 1861 0.92 1862 1.119 1863 1.094 1864 1.095 1865 1.206 1866 1.176 1867 0.898 1868 0.909 1869 0.867 1870 0.904 1871 1.101 1872 1.248 1873 1.038 1874 0.799 1875 0.912 1876 1.215 1877 1.089 1878 0.644 1879 0.743 1880 0.568 1881 0.887 1882 0.693 1883 0.988 1884 1.023 1885 1.323 1886 1.047 1887 0.992 1888 0.945 1889 0.788 1890 0.976 1891 0.986 1892 0.954 1893 1.08 1894 1.007 1895 1.05 1896 1.049 1897 1.118 1898 0.986 1899 1.438 1900 1.125 1901 1.419 1902 1.296 1903 1.141 1904 1.135 1905 1.081 1906 1.138 1907 0.98 1908 0.912 1909 0.905 1910 0.713 1911 0.728 1912 1.063 1913 1.182 1914 1.285 1915 1.147 1916 1.042 1917 1.299 1918 0.933 1919 0.942 1920 1.111 1921 0.858 1922 1.132 1923 1.104 1924 1.302 1925 1.108 1926 0.939 1927 0.914 1928 0.725 1929 0.711 1930 0.798 1931 0.548 1932 0.626 1933 0.646 1934 0.8 1935 0.897 1936 1.042 1937 1.071 1938 0.876 1939 1.08 1940 1.033 1941 1.103 1942 0.769 1943 1.07 1944 1.012 1945 1.076 1946 0.939 1947 0.839 1948 0.669 1949 0.647 1950 0.546 1951 0.71 1952 0.578 1953 0.77 1954 0.761 1955 0.862 1956 0.849 1957 0.886 1958 0.75 1959 0.811 1960 0.957 1961 1.134 1962 1.176 1963 0.894 1964 0.939 1965 0.863 1966 0.935 1967 1.145 1968 1.241 1969 1.213 1970 1.318 1971 1.196 1972 1.202 1973 1.242 1974 1.021 1975 1.322 1976 1.301 1977 1.412 1978 1.175 1979 1.28 1980 1.107 1981 1.227