# europe_cypr001 - Troodos - 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/4689 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr001 - Troodos - 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: Troodos # Location: # Country: Cyprus # Northernmost_Latitude: 34.93 # Southernmost_Latitude: 34.93 # Easternmost_Longitude: 32.87 # Westernmost_Longitude: 32.87 # Elevation: nan m #-------------------- # Data_Collection # Collection_Name: europe_cypr001B # Earliest_Year: 1761 # Most_Recent_Year: 1980 # 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":"4.95620497885","T2":"17.0856430872","M1":"0.0235964691714","M2":"0.395043959619"}} #-------------------- # 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 1761 0.823 1762 1.267 1763 1.154 1764 1.07 1765 1.033 1766 1.082 1767 1.075 1768 0.926 1769 0.956 1770 0.896 1771 0.982 1772 1.057 1773 1.193 1774 1.249 1775 1.234 1776 1.155 1777 1.366 1778 0.895 1779 0.89 1780 1.191 1781 0.884 1782 0.976 1783 1.133 1784 0.987 1785 0.546 1786 0.895 1787 0.737 1788 1.277 1789 0.955 1790 0.888 1791 1.269 1792 1.205 1793 0.96 1794 1.07 1795 1.172 1796 0.983 1797 0.971 1798 1.086 1799 1.24 1800 0.977 1801 1.037 1802 0.812 1803 1.019 1804 0.904 1805 1.002 1806 0.812 1807 0.98 1808 0.937 1809 1.137 1810 1.279 1811 1.325 1812 1.004 1813 0.992 1814 0.943 1815 1.045 1816 1.05 1817 1.026 1818 1.151 1819 0.973 1820 1.008 1821 1.236 1822 0.951 1823 0.982 1824 1.012 1825 1.01 1826 0.925 1827 1.268 1828 1.233 1829 1.327 1830 1.029 1831 0.893 1832 1.057 1833 1.206 1834 0.975 1835 1.185 1836 1.191 1837 1.059 1838 1.077 1839 1.174 1840 1.021 1841 1.224 1842 1.024 1843 0.866 1844 1.004 1845 0.878 1846 0.954 1847 0.929 1848 0.999 1849 0.985 1850 0.919 1851 0.888 1852 0.674 1853 0.749 1854 0.745 1855 1.02 1856 0.886 1857 0.882 1858 0.922 1859 1.02 1860 1.134 1861 0.946 1862 0.9 1863 0.861 1864 0.913 1865 0.907 1866 1.205 1867 0.987 1868 0.903 1869 1.087 1870 0.907 1871 1.011 1872 0.982 1873 1.111 1874 0.904 1875 1.065 1876 1.212 1877 1.064 1878 0.821 1879 0.85 1880 0.859 1881 0.964 1882 1.06 1883 1.072 1884 1.044 1885 1.193 1886 1.034 1887 0.947 1888 1.126 1889 1.239 1890 1.073 1891 1.254 1892 1.208 1893 0.805 1894 0.777 1895 0.924 1896 0.896 1897 1.055 1898 0.99 1899 0.922 1900 1.005 1901 0.948 1902 0.939 1903 0.924 1904 0.957 1905 0.969 1906 0.991 1907 0.878 1908 1.221 1909 0.653 1910 1.018 1911 1.083 1912 1.195 1913 0.956 1914 1.071 1915 1.012 1916 0.694 1917 0.7 1918 0.778 1919 0.905 1920 1.021 1921 1.516 1922 1.453 1923 1.027 1924 1.081 1925 0.783 1926 0.808 1927 0.958 1928 0.689 1929 0.81 1930 0.914 1931 0.849 1932 0.709 1933 0.757 1934 1.017 1935 0.883 1936 0.973 1937 0.972 1938 0.905 1939 1.13 1940 0.961 1941 0.758 1942 0.723 1943 0.657 1944 0.679 1945 0.708 1946 0.754 1947 0.8 1948 0.632 1949 0.539 1950 1.016 1951 0.963 1952 0.842 1953 0.96 1954 0.913 1955 0.897 1956 0.769 1957 0.791 1958 1.046 1959 1.076 1960 1.077 1961 0.755 1962 0.894 1963 0.778 1964 0.778 1965 0.816 1966 0.759 1967 0.902 1968 1.179 1969 1.102 1970 1.272 1971 1.322 1972 1.483 1973 1.274 1974 0.904 1975 1.346 1976 1.207 1977 1.309 1978 0.916 1979 1.0 1980 0.778