# europe_yugo001 - Vrsic Krajanska Gora - 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/4728 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_yugo001 - Vrsic Krajanska Gora - 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: Vrsic Krajanska Gora # Location: # Country: Slovenia # Northernmost_Latitude: 46.47 # Southernmost_Latitude: 46.47 # Easternmost_Longitude: 13.75 # Westernmost_Longitude: 13.75 # Elevation: 1600 m #-------------------- # Data_Collection # Collection_Name: europe_yugo001B # Earliest_Year: 1829 # Most_Recent_Year: 1981 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.24190011269","T2":"15.7951357927","M1":"0.0223407053706","M2":"0.411970749663"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1829 0.857 1830 0.828 1831 0.701 1832 0.785 1833 0.89 1834 0.98 1835 0.693 1836 0.857 1837 0.707 1838 0.766 1839 0.686 1840 0.763 1841 0.729 1842 1.086 1843 0.923 1844 0.833 1845 0.9 1846 1.171 1847 1.139 1848 1.209 1849 1.081 1850 0.975 1851 1.226 1852 1.027 1853 1.18 1854 1.108 1855 1.131 1856 0.951 1857 1.015 1858 0.989 1859 1.044 1860 0.901 1861 0.938 1862 0.877 1863 0.992 1864 0.96 1865 1.3 1866 1.158 1867 1.12 1868 0.922 1869 1.007 1870 0.928 1871 0.878 1872 0.834 1873 1.071 1874 1.045 1875 1.372 1876 1.318 1877 1.136 1878 1.101 1879 1.094 1880 1.227 1881 1.297 1882 1.19 1883 1.145 1884 0.954 1885 0.913 1886 0.926 1887 1.088 1888 1.028 1889 0.968 1890 0.8 1891 0.771 1892 1.055 1893 1.009 1894 1.149 1895 1.212 1896 1.109 1897 1.315 1898 1.362 1899 1.152 1900 1.069 1901 1.316 1902 1.063 1903 1.322 1904 1.61 1905 1.143 1906 1.146 1907 1.216 1908 1.122 1909 1.002 1910 0.999 1911 0.963 1912 0.898 1913 0.949 1914 0.841 1915 0.959 1916 1.188 1917 1.146 1918 1.204 1919 1.134 1920 0.918 1921 1.016 1922 0.874 1923 0.882 1924 0.89 1925 0.878 1926 0.799 1927 0.653 1928 0.576 1929 0.648 1930 0.747 1931 1.101 1932 0.885 1933 0.727 1934 0.875 1935 0.71 1936 0.989 1937 1.07 1938 0.993 1939 0.961 1940 0.869 1941 0.71 1942 0.705 1943 0.768 1944 0.838 1945 0.972 1946 1.153 1947 1.305 1948 0.827 1949 0.974 1950 1.034 1951 0.903 1952 0.84 1953 0.893 1954 0.721 1955 0.903 1956 0.865 1957 0.964 1958 1.035 1959 0.909 1960 1.07 1961 0.782 1962 1.0 1963 1.361 1964 1.35 1965 1.078 1966 1.076 1967 0.819 1968 0.793 1969 1.111 1970 1.004 1971 1.008 1972 1.138 1973 0.966 1974 0.854 1975 0.971 1976 0.758 1977 1.145 1978 1.051 1979 1.44 1980 0.722 1981 1.021