# europe_cypr019 - Tripylos - 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/5559 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr019 - Tripylos - 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: Tripylos # Location: # Country: Cyprus # Northernmost_Latitude: 34.98 # Southernmost_Latitude: 34.98 # Easternmost_Longitude: 32.67 # Westernmost_Longitude: 32.67 # Elevation: 1400 m #-------------------- # Data_Collection # Collection_Name: europe_cypr019B # Earliest_Year: 1725 # Most_Recent_Year: 2002 # 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":"6.21366628822","T2":"15.9530666117","M1":"0.0222000700897","M2":"0.447280659064"}} #-------------------- # Species # Species_Name: Cyprian cedar # Species_Code: CDBR #-------------------- # 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 1725 0.949 1726 0.972 1727 0.855 1728 0.853 1729 0.815 1730 0.761 1731 0.865 1732 0.953 1733 0.987 1734 0.81 1735 0.769 1736 0.784 1737 0.694 1738 0.468 1739 0.662 1740 0.52 1741 0.376 1742 0.736 1743 1.083 1744 1.336 1745 1.35 1746 0.924 1747 0.725 1748 1.029 1749 0.909 1750 0.623 1751 0.785 1752 1.046 1753 1.124 1754 0.927 1755 1.106 1756 0.65 1757 0.739 1758 0.878 1759 0.911 1760 1.372 1761 1.584 1762 2.206 1763 1.592 1764 1.401 1765 0.974 1766 1.543 1767 1.358 1768 1.368 1769 1.538 1770 1.192 1771 1.521 1772 1.261 1773 1.335 1774 1.355 1775 1.649 1776 1.326 1777 1.316 1778 1.486 1779 0.923 1780 1.114 1781 0.8 1782 0.837 1783 1.103 1784 1.351 1785 0.818 1786 0.785 1787 0.593 1788 1.209 1789 1.027 1790 0.821 1791 1.143 1792 0.974 1793 0.98 1794 0.832 1795 1.07 1796 0.721 1797 0.618 1798 0.803 1799 0.884 1800 1.195 1801 1.516 1802 1.259 1803 1.045 1804 1.291 1805 1.199 1806 1.097 1807 0.881 1808 0.704 1809 0.707 1810 0.898 1811 1.271 1812 1.16 1813 0.901 1814 1.095 1815 0.776 1816 1.003 1817 0.735 1818 1.03 1819 0.703 1820 0.828 1821 0.776 1822 0.768 1823 0.639 1824 0.945 1825 1.001 1826 1.218 1827 1.492 1828 1.131 1829 1.36 1830 1.229 1831 1.485 1832 1.273 1833 0.449 1834 0.552 1835 1.036 1836 0.771 1837 0.766 1838 0.929 1839 0.829 1840 0.548 1841 0.983 1842 0.871 1843 0.822 1844 0.755 1845 0.903 1846 1.2 1847 1.016 1848 0.88 1849 0.537 1850 0.344 1851 0.478 1852 0.99 1853 1.263 1854 0.787 1855 1.021 1856 0.861 1857 1.04 1858 1.024 1859 0.953 1860 1.093 1861 1.102 1862 1.03 1863 0.913 1864 1.163 1865 1.02 1866 1.343 1867 1.173 1868 0.974 1869 1.09 1870 1.217 1871 1.292 1872 1.346 1873 1.127 1874 0.782 1875 0.686 1876 1.045 1877 1.245 1878 1.202 1879 1.209 1880 1.094 1881 0.701 1882 0.857 1883 0.932 1884 1.247 1885 1.542 1886 1.426 1887 0.824 1888 0.952 1889 1.205 1890 1.087 1891 1.171 1892 0.963 1893 0.675 1894 0.662 1895 0.974 1896 0.922 1897 0.944 1898 0.693 1899 0.639 1900 1.137 1901 1.073 1902 1.163 1903 1.019 1904 1.331 1905 0.827 1906 1.048 1907 0.763 1908 0.805 1909 0.848 1910 1.226 1911 1.1 1912 1.186 1913 1.243 1914 1.596 1915 1.628 1916 1.311 1917 0.978 1918 0.982 1919 1.134 1920 1.163 1921 1.401 1922 0.861 1923 0.762 1924 1.018 1925 0.911 1926 0.581 1927 0.719 1928 0.369 1929 0.744 1930 1.228 1931 1.447 1932 0.761 1933 0.806 1934 0.818 1935 0.472 1936 1.003 1937 0.865 1938 0.712 1939 0.875 1940 1.07 1941 0.741 1942 0.867 1943 0.573 1944 0.502 1945 0.433 1946 0.831 1947 0.866 1948 0.875 1949 0.446 1950 1.069 1951 0.963 1952 0.67 1953 0.748 1954 0.996 1955 0.894 1956 0.677 1957 0.813 1958 0.987 1959 0.697 1960 0.89 1961 0.77 1962 0.783 1963 1.048 1964 1.031 1965 0.904 1966 1.1 1967 1.249 1968 1.435 1969 1.421 1970 1.574 1971 1.436 1972 1.457 1973 0.682 1974 1.022 1975 1.077 1976 1.13 1977 1.383 1978 1.076 1979 1.445 1980 0.791 1981 1.023 1982 1.08 1983 1.285 1984 0.909 1985 0.716 1986 0.97 1987 0.986 1988 0.922 1989 0.882 1990 0.906 1991 0.813 1992 1.006 1993 0.799 1994 0.746 1995 0.891 1996 0.999 1997 0.889 1998 0.809 1999 0.705 2000 1.019 2001 0.957 2002 1.288