# europe_cypr015 - Stavzos Psokas - 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/5136 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr015 - Stavzos Psokas - 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: Stavzos Psokas # Location: # Country: Cyprus # Northernmost_Latitude: 35.02 # Southernmost_Latitude: 35.02 # Easternmost_Longitude: 32.63 # Westernmost_Longitude: 32.63 # Elevation: 1050 m #-------------------- # Data_Collection # Collection_Name: europe_cypr015B # Earliest_Year: 1759 # 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":"5.37430120794","T2":"15.9386525578","M1":"0.0225020522843","M2":"0.389969577012"}} #-------------------- # Species # Species_Name: Calabrian pine # Species_Code: PIBR #-------------------- # 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 1759 1.037 1760 1.03 1761 1.012 1762 1.179 1763 1.022 1764 1.028 1765 0.99 1766 1.184 1767 1.24 1768 1.146 1769 1.233 1770 1.175 1771 1.307 1772 1.092 1773 0.957 1774 1.195 1775 1.088 1776 1.122 1777 1.182 1778 1.055 1779 0.886 1780 1.018 1781 0.733 1782 0.802 1783 0.878 1784 1.014 1785 1.007 1786 1.041 1787 0.816 1788 1.038 1789 1.165 1790 0.907 1791 1.116 1792 1.209 1793 0.884 1794 0.691 1795 0.776 1796 0.839 1797 0.755 1798 0.756 1799 0.804 1800 0.904 1801 0.957 1802 0.983 1803 0.983 1804 0.936 1805 1.065 1806 1.116 1807 1.058 1808 1.062 1809 0.962 1810 0.839 1811 0.933 1812 0.903 1813 0.756 1814 0.919 1815 0.705 1816 0.895 1817 1.061 1818 1.065 1819 0.769 1820 0.855 1821 1.04 1822 0.919 1823 1.179 1824 1.075 1825 0.88 1826 0.707 1827 0.975 1828 0.956 1829 1.05 1830 1.15 1831 1.249 1832 1.102 1833 1.091 1834 0.896 1835 0.914 1836 0.698 1837 0.781 1838 0.921 1839 0.984 1840 0.795 1841 0.82 1842 1.016 1843 1.025 1844 0.918 1845 0.902 1846 1.018 1847 0.943 1848 0.973 1849 0.752 1850 0.696 1851 0.743 1852 0.624 1853 0.747 1854 0.503 1855 0.669 1856 0.693 1857 0.989 1858 0.963 1859 0.896 1860 0.781 1861 0.88 1862 0.9 1863 0.765 1864 0.829 1865 0.973 1866 0.776 1867 0.979 1868 0.836 1869 0.9 1870 1.11 1871 1.16 1872 1.306 1873 1.011 1874 0.838 1875 0.995 1876 1.063 1877 0.952 1878 0.853 1879 0.756 1880 0.811 1881 0.896 1882 1.226 1883 1.3 1884 1.287 1885 1.138 1886 1.075 1887 0.899 1888 1.18 1889 1.509 1890 1.374 1891 1.029 1892 1.173 1893 1.039 1894 0.805 1895 0.781 1896 0.818 1897 1.068 1898 0.924 1899 0.822 1900 1.299 1901 1.013 1902 1.447 1903 1.192 1904 1.345 1905 0.958 1906 1.128 1907 1.036 1908 1.016 1909 1.04 1910 1.11 1911 1.136 1912 1.247 1913 1.311 1914 1.641 1915 1.611 1916 1.128 1917 0.916 1918 1.225 1919 1.42 1920 1.089 1921 1.159 1922 0.978 1923 1.074 1924 0.944 1925 1.215 1926 1.128 1927 0.781 1928 0.615 1929 0.683 1930 0.966 1931 0.988 1932 0.741 1933 0.983 1934 0.958 1935 0.862 1936 1.171 1937 1.024 1938 0.895 1939 0.941 1940 0.644 1941 0.663 1942 0.42 1943 0.846 1944 0.805 1945 0.677 1946 0.719 1947 0.922 1948 0.921 1949 0.642 1950 1.078 1951 1.195 1952 0.953 1953 0.944 1954 1.044 1955 0.971 1956 0.931 1957 0.972 1958 1.229 1959 0.94 1960 0.963 1961 0.894 1962 1.113 1963 1.269 1964 0.911 1965 1.054 1966 1.193 1967 1.049 1968 0.988 1969 1.057 1970 1.091 1971 1.166 1972 1.275 1973 0.886 1974 1.112 1975 1.169 1976 1.233 1977 1.101 1978 1.14 1979 1.234 1980 1.033 1981 1.024 1982 1.352 1983 1.196 1984 1.124 1985 0.881 1986 1.123 1987 1.168 1988 0.923 1989 0.871 1990 0.893 1991 0.754 1992 0.924 1993 0.81 1994 0.863 1995 1.068 1996 0.807 1997 0.781 1998 0.801 1999 0.914 2000 0.689 2001 0.824 2002 1.044