# europe_cypr009 - Ceader Valley (Trocken) - 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/4372 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr009 - Ceader Valley (Trocken) - 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: Ceader Valley (Trocken) # Location: # Country: Cyprus # Northernmost_Latitude: 34.98 # Southernmost_Latitude: 34.98 # Easternmost_Longitude: 32.68 # Westernmost_Longitude: 32.68 # Elevation: 1280 m #-------------------- # Data_Collection # Collection_Name: europe_cypr009B # Earliest_Year: 1797 # 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":"6.05195507867","T2":"17.0509853763","M1":"0.0224405930034","M2":"0.420271674905"}} #-------------------- # Species # Species_Name: cedar of Lebanone # Species_Code: CDLI #-------------------- # 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 1797 0.587 1798 0.7 1799 0.92 1800 1.038 1801 1.374 1802 1.242 1803 0.856 1804 0.96 1805 1.237 1806 1.061 1807 0.819 1808 0.628 1809 0.714 1810 0.632 1811 1.067 1812 0.961 1813 0.734 1814 0.902 1815 0.741 1816 1.177 1817 0.82 1818 1.113 1819 0.72 1820 0.914 1821 0.885 1822 0.942 1823 1.2 1824 1.223 1825 0.96 1826 0.736 1827 1.172 1828 1.013 1829 1.273 1830 1.197 1831 1.086 1832 1.392 1833 1.0 1834 0.726 1835 1.092 1836 0.99 1837 0.815 1838 1.1 1839 1.222 1840 0.767 1841 1.297 1842 0.869 1843 0.896 1844 0.925 1845 0.85 1846 1.026 1847 1.077 1848 1.123 1849 0.726 1850 0.819 1851 0.706 1852 0.975 1853 1.128 1854 0.809 1855 0.954 1856 0.787 1857 0.895 1858 0.913 1859 0.9 1860 0.876 1861 1.363 1862 0.777 1863 0.852 1864 1.247 1865 1.071 1866 1.316 1867 1.196 1868 1.079 1869 1.025 1870 0.996 1871 0.859 1872 1.158 1873 0.909 1874 0.712 1875 0.764 1876 1.11 1877 1.67 1878 1.342 1879 1.346 1880 1.087 1881 0.862 1882 0.837 1883 0.994 1884 1.144 1885 1.158 1886 1.38 1887 0.719 1888 1.166 1889 1.127 1890 0.802 1891 0.96 1892 0.931 1893 0.947 1894 0.821 1895 1.013 1896 0.87 1897 0.956 1898 0.774 1899 0.639 1900 1.24 1901 1.185 1902 1.023 1903 1.062 1904 1.272 1905 0.879 1906 1.16 1907 0.926 1908 0.775 1909 0.836 1910 1.323 1911 1.181 1912 1.298 1913 1.074 1914 1.457 1915 1.493 1916 1.415 1917 0.793 1918 1.042 1919 1.151 1920 1.102 1921 1.437 1922 0.636 1923 0.886 1924 0.864 1925 1.01 1926 0.863 1927 0.931 1928 0.371 1929 0.682 1930 1.001 1931 1.285 1932 0.812 1933 0.836 1934 0.98 1935 0.762 1936 1.615 1937 1.325 1938 0.954 1939 0.915 1940 1.343 1941 0.927 1942 0.944 1943 0.713 1944 0.665 1945 0.668 1946 0.802 1947 0.736 1948 0.818 1949 0.36 1950 1.029 1951 0.651 1952 0.635 1953 0.791 1954 0.742 1955 0.963 1956 0.744 1957 0.837 1958 0.874 1959 0.586 1960 0.812 1961 0.884 1962 0.864 1963 1.003 1964 0.686 1965 0.778 1966 0.764 1967 0.986 1968 1.117 1969 1.152 1970 1.298 1971 1.062 1972 1.277 1973 0.922 1974 1.219 1975 1.273 1976 1.053 1977 1.403 1978 1.039 1979 1.57 1980 0.885 1981 0.878