# europe_spai014 - Navafria II - 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/5400 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai014 - Navafria II - 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: Navafria II # Location: # Country: Spain # Northernmost_Latitude: 41.02 # Southernmost_Latitude: 41.02 # Easternmost_Longitude: -0.12 # Westernmost_Longitude: -0.12 # Elevation: 1630 m #-------------------- # Data_Collection # Collection_Name: europe_spai014B # Earliest_Year: 1820 # Most_Recent_Year: 1992 # 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":"5.53614236949","T2":"17.8873568011","M1":"0.0223147187147","M2":"0.292855824972"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1820 0.759 1821 0.747 1822 0.919 1823 0.941 1824 0.793 1825 0.913 1826 0.773 1827 0.7 1828 0.794 1829 0.831 1830 0.858 1831 0.745 1832 0.769 1833 0.681 1834 0.95 1835 0.935 1836 0.932 1837 0.743 1838 0.825 1839 0.749 1840 0.658 1841 1.042 1842 0.57 1843 0.686 1844 0.728 1845 0.736 1846 0.856 1847 0.669 1848 0.709 1849 0.776 1850 0.802 1851 0.773 1852 0.714 1853 0.652 1854 0.872 1855 0.837 1856 0.926 1857 0.955 1858 1.066 1859 1.047 1860 0.798 1861 0.854 1862 0.801 1863 0.738 1864 0.907 1865 0.771 1866 1.087 1867 1.03 1868 0.859 1869 1.091 1870 0.701 1871 0.965 1872 0.835 1873 0.87 1874 0.739 1875 0.688 1876 0.716 1877 0.807 1878 0.885 1879 0.629 1880 0.818 1881 0.86 1882 0.738 1883 0.756 1884 0.939 1885 1.251 1886 1.245 1887 1.07 1888 1.434 1889 1.591 1890 1.428 1891 1.519 1892 1.554 1893 1.985 1894 1.422 1895 1.708 1896 1.843 1897 1.466 1898 1.515 1899 1.953 1900 1.403 1901 1.225 1902 1.619 1903 2.034 1904 1.486 1905 1.513 1906 1.265 1907 1.026 1908 0.923 1909 0.987 1910 0.849 1911 0.967 1912 1.09 1913 0.877 1914 1.39 1915 1.05 1916 0.909 1917 0.79 1918 0.876 1919 0.874 1920 1.024 1921 0.837 1922 1.049 1923 1.209 1924 0.693 1925 1.022 1926 1.103 1927 0.908 1928 0.936 1929 0.873 1930 1.03 1931 1.081 1932 1.269 1933 1.324 1934 0.878 1935 0.896 1936 0.983 1937 0.815 1938 0.604 1939 0.729 1940 1.278 1941 0.917 1942 0.77 1943 1.053 1944 1.105 1945 0.958 1946 0.959 1947 0.865 1948 0.934 1949 0.897 1950 1.007 1951 1.224 1952 1.582 1953 1.133 1954 0.701 1955 0.695 1956 0.715 1957 0.975 1958 1.077 1959 1.238 1960 0.821 1961 1.207 1962 0.868 1963 0.519 1964 0.911 1965 0.48 1966 0.631 1967 0.654 1968 0.68 1969 0.682 1970 0.701 1971 0.805 1972 0.633 1973 1.047 1974 0.699 1975 0.708 1976 0.982 1977 1.015 1978 0.857 1979 0.774 1980 0.917 1981 0.814 1982 0.788 1983 0.766 1984 0.682 1985 0.611 1986 0.45 1987 0.652 1988 0.785 1989 0.841 1990 0.761 1991 0.567 1992 1.104