# europe_yugo006 - Pelister National Park - 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/4582 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_yugo006 - Pelister National Park - 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: Pelister National Park # Location: # Country: Macedonia # Northernmost_Latitude: 41.02 # Southernmost_Latitude: 41.02 # Easternmost_Longitude: 21.18 # Westernmost_Longitude: 21.18 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: europe_yugo006B # Earliest_Year: 1852 # 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":"5.56610961948","T2":"15.8790635319","M1":"0.0221947967031","M2":"0.489924111948"}} #-------------------- # Species # Species_Name: Macedonian pine # Species_Code: PIPE #-------------------- # 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 1852 1.058 1853 1.057 1854 1.0 1855 0.912 1856 0.905 1857 0.999 1858 0.965 1859 1.213 1860 1.089 1861 0.979 1862 1.007 1863 0.999 1864 0.856 1865 0.868 1866 0.932 1867 0.941 1868 1.109 1869 0.947 1870 1.112 1871 0.976 1872 0.928 1873 1.105 1874 0.974 1875 0.884 1876 1.134 1877 1.354 1878 1.1 1879 0.989 1880 0.966 1881 1.116 1882 0.777 1883 0.85 1884 0.848 1885 0.96 1886 1.046 1887 1.04 1888 1.004 1889 1.116 1890 0.919 1891 0.934 1892 0.804 1893 0.755 1894 0.755 1895 0.987 1896 1.101 1897 1.061 1898 0.977 1899 1.235 1900 1.249 1901 1.24 1902 1.072 1903 1.189 1904 1.111 1905 1.19 1906 0.979 1907 0.881 1908 0.766 1909 0.821 1910 0.847 1911 0.835 1912 0.997 1913 0.991 1914 1.064 1915 0.985 1916 0.916 1917 1.1 1918 0.951 1919 0.819 1920 1.242 1921 1.23 1922 1.01 1923 0.929 1924 0.95 1925 0.975 1926 0.858 1927 0.784 1928 0.809 1929 0.81 1930 0.981 1931 0.783 1932 0.809 1933 0.917 1934 1.003 1935 1.194 1936 1.241 1937 1.173 1938 1.187 1939 1.188 1940 1.27 1941 1.388 1942 1.228 1943 1.109 1944 1.158 1945 1.088 1946 1.221 1947 0.934 1948 0.937 1949 0.935 1950 0.915 1951 0.998 1952 1.181 1953 1.027 1954 0.683 1955 0.988 1956 1.095 1957 0.803 1958 0.927 1959 0.899 1960 0.819 1961 0.817 1962 1.011 1963 1.001 1964 0.875 1965 0.892 1966 0.792 1967 1.018 1968 0.915 1969 0.8 1970 1.035 1971 0.856 1972 0.833 1973 0.983 1974 0.913 1975 1.05 1976 0.929 1977 0.784 1978 0.878 1979 1.009 1980 0.938 1981 0.985