# europe_spai027 - Canada de la Fuente - 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/4240 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai027 - Canada de la Fuente - 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: Canada de la Fuente # Location: # Country: Spain # Northernmost_Latitude: 37.83 # Southernmost_Latitude: 37.83 # Easternmost_Longitude: -2.93 # Westernmost_Longitude: -2.93 # Elevation: 1450 m #-------------------- # Data_Collection # Collection_Name: europe_spai027B # Earliest_Year: 1754 # Most_Recent_Year: 1985 # 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":"4.69308842653","T2":"16.1124671691","M1":"0.0215783634362","M2":"0.269792189985"}} #-------------------- # Species # Species_Name: Austrian pine # Species_Code: PINI #-------------------- # 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 1754 0.771 1755 1.135 1756 1.075 1757 1.091 1758 1.174 1759 1.468 1760 1.333 1761 1.264 1762 1.372 1763 0.999 1764 0.796 1765 0.797 1766 0.835 1767 1.039 1768 1.072 1769 0.831 1770 0.804 1771 0.891 1772 0.944 1773 1.159 1774 0.858 1775 0.988 1776 0.939 1777 1.202 1778 0.829 1779 0.802 1780 0.875 1781 1.101 1782 0.92 1783 1.022 1784 1.097 1785 0.822 1786 0.777 1787 0.893 1788 0.941 1789 0.818 1790 0.943 1791 1.255 1792 1.307 1793 0.872 1794 0.907 1795 1.067 1796 0.969 1797 0.839 1798 0.938 1799 0.849 1800 0.883 1801 1.073 1802 0.979 1803 0.89 1804 1.149 1805 0.882 1806 0.747 1807 1.021 1808 0.763 1809 0.919 1810 1.1 1811 1.207 1812 0.858 1813 0.917 1814 1.026 1815 1.331 1816 1.025 1817 1.055 1818 1.219 1819 0.95 1820 0.504 1821 0.517 1822 0.825 1823 0.913 1824 0.685 1825 0.657 1826 0.806 1827 0.76 1828 0.906 1829 1.083 1830 1.167 1831 0.898 1832 0.723 1833 0.929 1834 1.294 1835 1.127 1836 0.92 1837 1.052 1838 1.043 1839 0.972 1840 1.021 1841 1.109 1842 0.81 1843 1.053 1844 0.928 1845 1.113 1846 1.398 1847 0.933 1848 0.815 1849 0.966 1850 1.206 1851 1.058 1852 0.939 1853 1.086 1854 1.176 1855 1.098 1856 1.363 1857 1.023 1858 0.967 1859 1.177 1860 0.931 1861 1.308 1862 1.141 1863 0.988 1864 1.057 1865 0.835 1866 0.879 1867 1.033 1868 0.812 1869 1.27 1870 0.745 1871 0.843 1872 1.062 1873 1.071 1874 1.218 1875 1.202 1876 1.083 1877 0.741 1878 0.671 1879 0.525 1880 0.752 1881 0.988 1882 1.041 1883 1.404 1884 1.345 1885 1.448 1886 1.362 1887 0.894 1888 1.161 1889 1.449 1890 0.925 1891 0.968 1892 1.38 1893 1.25 1894 1.007 1895 1.182 1896 1.137 1897 0.903 1898 0.838 1899 1.103 1900 0.872 1901 0.775 1902 0.862 1903 1.243 1904 1.016 1905 1.07 1906 0.99 1907 1.194 1908 1.215 1909 0.985 1910 0.709 1911 0.662 1912 1.068 1913 1.209 1914 1.576 1915 1.288 1916 0.8 1917 0.747 1918 0.729 1919 0.886 1920 1.284 1921 1.041 1922 0.695 1923 0.726 1924 0.609 1925 0.888 1926 1.079 1927 0.757 1928 0.682 1929 0.984 1930 0.993 1931 0.725 1932 0.758 1933 1.061 1934 0.608 1935 0.679 1936 0.917 1937 1.074 1938 0.898 1939 0.883 1940 1.125 1941 1.007 1942 0.815 1943 0.802 1944 0.976 1945 0.741 1946 0.62 1947 0.748 1948 0.818 1949 0.661 1950 0.632 1951 0.689 1952 0.868 1953 0.772 1954 0.716 1955 0.849 1956 0.76 1957 0.802 1958 0.987 1959 1.268 1960 1.347 1961 1.198 1962 1.072 1963 0.476 1964 0.854 1965 0.63 1966 1.037 1967 1.057 1968 0.699 1969 0.819 1970 1.089 1971 1.0 1972 0.797 1973 1.204 1974 0.88 1975 1.002 1976 1.321 1977 1.97 1978 1.76 1979 1.278 1980 1.664 1981 1.232 1982 0.921 1983 0.975 1984 1.006 1985 1.121