# europe_cypr005 - Plano Platres (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/4595 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr005 - Plano Platres (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: Plano Platres (Trocken) # Location: # Country: Cyprus # Northernmost_Latitude: 34.9 # Southernmost_Latitude: 34.9 # Easternmost_Longitude: 32.9 # Westernmost_Longitude: 32.9 # Elevation: 1620 m #-------------------- # Data_Collection # Collection_Name: europe_cypr005B # Earliest_Year: 1804 # 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":"6.11444528911","T2":"16.9310923141","M1":"0.0219752731064","M2":"0.420066130695"}} #-------------------- # 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 1804 0.883 1805 1.006 1806 0.983 1807 0.788 1808 1.013 1809 1.023 1810 1.235 1811 1.178 1812 0.872 1813 0.853 1814 0.92 1815 0.707 1816 0.761 1817 0.762 1818 0.918 1819 0.659 1820 0.845 1821 0.937 1822 0.948 1823 1.068 1824 1.049 1825 1.027 1826 1.164 1827 1.682 1828 1.53 1829 1.735 1830 1.129 1831 0.909 1832 0.966 1833 0.992 1834 0.824 1835 1.158 1836 1.048 1837 1.244 1838 1.242 1839 0.983 1840 0.898 1841 1.049 1842 1.114 1843 0.952 1844 0.781 1845 0.877 1846 0.989 1847 1.125 1848 0.879 1849 0.684 1850 0.647 1851 0.548 1852 0.479 1853 0.889 1854 0.647 1855 0.602 1856 0.695 1857 0.918 1858 1.036 1859 0.887 1860 0.997 1861 0.989 1862 1.057 1863 0.868 1864 1.13 1865 1.29 1866 1.592 1867 1.626 1868 1.101 1869 1.283 1870 1.105 1871 1.216 1872 1.227 1873 1.055 1874 0.483 1875 0.752 1876 0.708 1877 0.802 1878 0.457 1879 0.495 1880 0.853 1881 0.964 1882 0.683 1883 0.805 1884 0.736 1885 1.409 1886 1.419 1887 1.141 1888 1.225 1889 1.654 1890 1.175 1891 0.966 1892 1.165 1893 0.782 1894 0.555 1895 1.044 1896 0.82 1897 1.188 1898 0.704 1899 0.487 1900 1.144 1901 1.923 1902 1.609 1903 1.146 1904 1.167 1905 1.162 1906 1.019 1907 0.709 1908 1.08 1909 0.706 1910 1.098 1911 0.99 1912 1.072 1913 0.921 1914 1.022 1915 1.246 1916 0.837 1917 0.709 1918 1.093 1919 1.314 1920 1.139 1921 1.493 1922 1.469 1923 1.133 1924 1.022 1925 1.013 1926 1.105 1927 0.909 1928 0.728 1929 0.717 1930 1.069 1931 1.196 1932 0.899 1933 1.042 1934 0.845 1935 0.79 1936 1.578 1937 1.131 1938 0.916 1939 0.876 1940 1.0 1941 0.839 1942 0.332 1943 0.682 1944 0.656 1945 0.513 1946 0.489 1947 0.62 1948 0.566 1949 0.29 1950 1.125 1951 1.157 1952 1.138 1953 0.86 1954 0.852 1955 0.929 1956 0.75 1957 0.773 1958 1.351 1959 1.274 1960 1.55 1961 0.942 1962 1.119 1963 0.952 1964 1.084 1965 0.919 1966 0.627 1967 0.788 1968 1.055 1969 1.251 1970 1.121 1971 1.01 1972 1.488 1973 1.04 1974 0.901 1975 1.11 1976 1.107 1977 1.099 1978 0.826 1979 1.231 1980 0.781 1981 0.837