# europe_spai025 - Las Banas I - 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/4259 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai025 - Las Banas I - 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: Las Banas I # Location: # Country: Spain # Northernmost_Latitude: 37.95 # Southernmost_Latitude: 37.95 # Easternmost_Longitude: -2.93 # Westernmost_Longitude: -2.93 # Elevation: 1405 m #-------------------- # Data_Collection # Collection_Name: europe_spai025B # Earliest_Year: 1773 # Most_Recent_Year: 1985 # 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":"5.27437606264","T2":"16.2224674479","M1":"0.0221416749806","M2":"0.424911340839"}} #-------------------- # 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 1773 1.222 1774 1.103 1775 1.118 1776 0.951 1777 1.085 1778 0.719 1779 0.964 1780 0.774 1781 1.257 1782 1.006 1783 0.794 1784 0.973 1785 0.865 1786 0.657 1787 0.47 1788 0.702 1789 0.718 1790 1.202 1791 1.364 1792 1.288 1793 0.862 1794 1.203 1795 1.344 1796 1.137 1797 0.948 1798 0.996 1799 1.03 1800 1.263 1801 1.135 1802 1.011 1803 0.866 1804 1.131 1805 0.664 1806 0.715 1807 0.561 1808 0.486 1809 0.876 1810 1.098 1811 1.13 1812 0.73 1813 0.77 1814 0.903 1815 1.133 1816 0.801 1817 1.04 1818 1.275 1819 0.912 1820 0.693 1821 0.772 1822 0.974 1823 0.928 1824 1.001 1825 0.944 1826 1.109 1827 0.862 1828 0.951 1829 0.972 1830 0.86 1831 0.716 1832 0.825 1833 1.035 1834 1.42 1835 1.223 1836 1.102 1837 1.121 1838 1.074 1839 0.813 1840 0.816 1841 0.477 1842 0.63 1843 1.106 1844 1.024 1845 1.146 1846 0.988 1847 0.738 1848 0.757 1849 0.923 1850 1.463 1851 1.029 1852 0.953 1853 0.996 1854 1.171 1855 1.043 1856 0.942 1857 0.749 1858 0.929 1859 1.336 1860 0.903 1861 1.09 1862 0.729 1863 0.983 1864 1.232 1865 1.118 1866 0.976 1867 0.99 1868 0.846 1869 0.908 1870 0.733 1871 0.91 1872 1.146 1873 1.128 1874 1.221 1875 1.044 1876 0.694 1877 0.895 1878 1.089 1879 0.736 1880 1.081 1881 1.314 1882 1.199 1883 1.501 1884 1.336 1885 1.424 1886 1.354 1887 0.863 1888 1.026 1889 1.039 1890 0.884 1891 0.892 1892 1.258 1893 1.253 1894 0.668 1895 1.019 1896 1.318 1897 0.956 1898 1.032 1899 1.48 1900 0.853 1901 0.733 1902 0.865 1903 1.107 1904 0.581 1905 0.67 1906 0.797 1907 1.206 1908 1.18 1909 1.056 1910 0.692 1911 0.865 1912 1.242 1913 0.928 1914 1.376 1915 0.88 1916 0.663 1917 0.815 1918 0.911 1919 1.007 1920 1.448 1921 1.233 1922 0.516 1923 0.816 1924 0.862 1925 0.956 1926 1.272 1927 0.757 1928 0.61 1929 1.221 1930 1.238 1931 0.965 1932 0.845 1933 0.887 1934 0.657 1935 0.78 1936 1.173 1937 0.97 1938 0.888 1939 1.049 1940 1.681 1941 1.2 1942 0.832 1943 0.962 1944 1.08 1945 1.081 1946 0.881 1947 1.142 1948 1.125 1949 0.844 1950 0.915 1951 0.998 1952 1.294 1953 0.839 1954 0.743 1955 0.948 1956 0.877 1957 0.898 1958 1.071 1959 1.086 1960 0.589 1961 0.783 1962 0.848 1963 0.775 1964 1.065 1965 0.704 1966 0.858 1967 0.915 1968 0.893 1969 1.236 1970 0.753 1971 0.47 1972 0.405 1973 0.727 1974 0.709 1975 0.848 1976 0.972 1977 1.269 1978 1.135 1979 0.777 1980 1.189 1981 1.139 1982 1.15 1983 1.328 1984 1.294 1985 1.227