# europe_cypr003 - Troodos (Feucht) - 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/4690 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr003 - Troodos (Feucht) - 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 (Feucht) # Location: # Country: Cyprus # Northernmost_Latitude: 34.93 # Southernmost_Latitude: 34.93 # Easternmost_Longitude: 32.87 # Westernmost_Longitude: 32.87 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: europe_cypr003B # Earliest_Year: 1767 # Most_Recent_Year: 1981 # 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":"4.9233855207","T2":"17.109093531","M1":"0.0226921777997","M2":"0.433185639604"}} #-------------------- # 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 1767 0.863 1768 1.021 1769 0.937 1770 0.864 1771 0.871 1772 0.895 1773 0.949 1774 0.949 1775 1.025 1776 1.207 1777 1.228 1778 1.088 1779 1.062 1780 1.156 1781 1.034 1782 1.002 1783 1.062 1784 1.053 1785 0.992 1786 0.991 1787 1.062 1788 1.147 1789 0.979 1790 1.005 1791 1.183 1792 1.126 1793 0.905 1794 1.136 1795 1.178 1796 0.96 1797 0.927 1798 1.044 1799 1.129 1800 1.085 1801 1.072 1802 1.038 1803 1.015 1804 0.99 1805 0.925 1806 0.967 1807 0.997 1808 0.921 1809 1.123 1810 1.218 1811 1.106 1812 1.027 1813 0.972 1814 1.131 1815 1.019 1816 0.877 1817 0.956 1818 1.122 1819 0.947 1820 0.866 1821 1.214 1822 0.963 1823 0.977 1824 1.007 1825 0.912 1826 0.912 1827 1.036 1828 1.036 1829 1.088 1830 1.036 1831 1.029 1832 1.097 1833 0.829 1834 0.851 1835 0.999 1836 0.968 1837 0.905 1838 0.995 1839 0.96 1840 0.856 1841 0.861 1842 0.814 1843 0.732 1844 0.829 1845 0.87 1846 0.894 1847 0.959 1848 0.912 1849 0.776 1850 0.805 1851 0.716 1852 0.628 1853 0.535 1854 0.357 1855 0.493 1856 0.588 1857 0.66 1858 0.774 1859 0.835 1860 0.902 1861 0.864 1862 1.0 1863 0.774 1864 0.808 1865 0.909 1866 1.029 1867 1.005 1868 0.935 1869 1.044 1870 0.999 1871 1.098 1872 1.191 1873 1.374 1874 1.06 1875 1.251 1876 1.321 1877 1.115 1878 0.68 1879 0.763 1880 0.788 1881 0.903 1882 1.024 1883 1.242 1884 1.252 1885 1.614 1886 1.36 1887 1.214 1888 1.282 1889 1.518 1890 1.247 1891 1.375 1892 1.464 1893 0.917 1894 0.872 1895 1.115 1896 1.11 1897 1.336 1898 1.26 1899 1.174 1900 1.261 1901 1.278 1902 1.163 1903 1.248 1904 1.163 1905 1.09 1906 1.082 1907 0.968 1908 1.166 1909 0.773 1910 1.042 1911 1.144 1912 1.176 1913 1.003 1914 1.219 1915 1.177 1916 0.798 1917 0.926 1918 0.876 1919 1.032 1920 1.1 1921 1.635 1922 1.705 1923 1.264 1924 1.345 1925 1.049 1926 1.089 1927 0.99 1928 0.705 1929 0.806 1930 0.931 1931 0.923 1932 0.843 1933 0.955 1934 1.29 1935 1.083 1936 1.127 1937 1.158 1938 0.926 1939 1.05 1940 0.929 1941 0.727 1942 0.641 1943 0.565 1944 0.727 1945 0.616 1946 0.696 1947 0.822 1948 0.57 1949 0.498 1950 0.923 1951 0.874 1952 0.917 1953 0.803 1954 0.782 1955 0.862 1956 0.657 1957 0.741 1958 0.858 1959 0.985 1960 1.102 1961 0.763 1962 0.741 1963 0.7 1964 0.687 1965 0.681 1966 0.664 1967 0.695 1968 0.939 1969 1.032 1970 1.174 1971 1.175 1972 1.517 1973 1.197 1974 0.935 1975 1.409 1976 1.466 1977 1.444 1978 1.063 1979 1.199 1980 0.854 1981 1.014