# europe_cypr008 - Ceader Valley (Mittel-T) - 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/4371 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr008 - Ceader Valley (Mittel-T) - 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 (Mittel-T) # Location: # Country: Cyprus # Northernmost_Latitude: 34.98 # Southernmost_Latitude: 34.98 # Easternmost_Longitude: 32.68 # Westernmost_Longitude: 32.68 # Elevation: 1380 m #-------------------- # Data_Collection # Collection_Name: europe_cypr008B # Earliest_Year: 1854 # 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":"6.03477749464","T2":"16.2590103733","M1":"0.0221925365518","M2":"0.393470497901"}} #-------------------- # 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 1854 1.019 1855 1.186 1856 1.242 1857 1.161 1858 1.134 1859 0.964 1860 0.974 1861 0.991 1862 1.047 1863 0.906 1864 1.053 1865 0.863 1866 0.878 1867 0.701 1868 0.664 1869 0.814 1870 0.907 1871 0.899 1872 1.02 1873 0.926 1874 0.804 1875 0.766 1876 1.032 1877 1.143 1878 1.079 1879 1.074 1880 1.112 1881 0.99 1882 0.918 1883 0.89 1884 1.128 1885 1.197 1886 1.247 1887 0.769 1888 1.019 1889 1.103 1890 0.971 1891 1.104 1892 0.95 1893 0.768 1894 0.806 1895 1.047 1896 0.977 1897 1.026 1898 0.881 1899 0.96 1900 1.13 1901 1.107 1902 1.105 1903 1.219 1904 1.214 1905 0.965 1906 1.131 1907 0.898 1908 0.805 1909 0.862 1910 1.179 1911 1.272 1912 1.205 1913 1.173 1914 1.319 1915 1.26 1916 1.051 1917 0.937 1918 1.002 1919 1.07 1920 1.018 1921 1.224 1922 0.843 1923 0.765 1924 0.932 1925 0.931 1926 0.828 1927 0.773 1928 0.55 1929 0.777 1930 1.057 1931 1.257 1932 0.761 1933 0.906 1934 0.834 1935 0.658 1936 1.174 1937 0.959 1938 0.773 1939 0.979 1940 1.239 1941 0.931 1942 0.865 1943 0.73 1944 0.69 1945 0.634 1946 0.888 1947 0.984 1948 1.001 1949 0.622 1950 1.126 1951 0.998 1952 0.757 1953 0.772 1954 0.953 1955 0.992 1956 0.825 1957 0.923 1958 1.057 1959 0.847 1960 0.916 1961 0.907 1962 0.951 1963 1.043 1964 1.028 1965 0.973 1966 1.149 1967 1.046 1968 1.245 1969 1.136 1970 1.284 1971 1.215 1972 1.364 1973 0.865 1974 1.024 1975 1.086 1976 1.159 1977 1.314 1978 1.042 1979 1.25 1980 0.852 1981 1.014