# europe_spai035 - Guadarrama Camorca - 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/4249 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai035 - Guadarrama Camorca - 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: Guadarrama Camorca # Location: # Country: Spain # Northernmost_Latitude: 40.82 # Southernmost_Latitude: 40.82 # Easternmost_Longitude: -4.05 # Westernmost_Longitude: -4.05 # Elevation: 1550 m #-------------------- # Data_Collection # Collection_Name: europe_spai035B # Earliest_Year: 1796 # Most_Recent_Year: 1983 # 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":"4.77079327533","T2":"14.7120639851","M1":"0.0224493443818","M2":"0.427843687699"}} #-------------------- # 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 1796 0.88 1797 0.772 1798 1.269 1799 0.978 1800 0.38 1801 0.71 1802 0.94 1803 0.806 1804 1.084 1805 0.978 1806 0.497 1807 1.01 1808 0.879 1809 1.205 1810 0.793 1811 1.339 1812 1.575 1813 1.905 1814 1.577 1815 1.472 1816 1.18 1817 1.109 1818 1.238 1819 1.312 1820 1.062 1821 1.204 1822 1.214 1823 0.952 1824 0.971 1825 1.163 1826 0.873 1827 1.035 1828 1.008 1829 0.309 1830 0.876 1831 0.928 1832 1.047 1833 1.003 1834 0.933 1835 0.957 1836 1.293 1837 1.359 1838 1.152 1839 0.942 1840 0.712 1841 0.489 1842 0.605 1843 0.956 1844 0.644 1845 0.623 1846 0.862 1847 0.946 1848 0.87 1849 1.038 1850 1.344 1851 0.826 1852 0.769 1853 0.866 1854 1.234 1855 0.869 1856 0.913 1857 1.032 1858 1.236 1859 1.31 1860 0.815 1861 0.596 1862 0.692 1863 0.777 1864 0.894 1865 0.557 1866 1.057 1867 1.263 1868 1.297 1869 1.455 1870 0.975 1871 0.806 1872 0.771 1873 0.955 1874 0.912 1875 0.818 1876 0.459 1877 0.806 1878 0.592 1879 0.619 1880 0.892 1881 0.789 1882 1.146 1883 1.015 1884 0.965 1885 1.016 1886 1.03 1887 1.035 1888 0.865 1889 0.324 1890 0.809 1891 1.018 1892 0.941 1893 1.091 1894 0.535 1895 0.813 1896 0.705 1897 0.738 1898 0.852 1899 0.887 1900 0.795 1901 0.753 1902 1.133 1903 1.449 1904 1.144 1905 1.103 1906 1.2 1907 1.123 1908 0.769 1909 0.896 1910 1.037 1911 1.158 1912 1.345 1913 1.151 1914 1.551 1915 1.283 1916 1.231 1917 1.051 1918 0.891 1919 0.735 1920 0.601 1921 0.569 1922 0.949 1923 1.307 1924 0.942 1925 1.268 1926 1.22 1927 1.023 1928 0.958 1929 1.126 1930 0.929 1931 0.849 1932 0.581 1933 0.351 1934 0.635 1935 0.85 1936 0.664 1937 0.654 1938 0.616 1939 0.578 1940 0.958 1941 0.891 1942 0.865 1943 1.043 1944 1.397 1945 1.574 1946 1.221 1947 1.232 1948 1.252 1949 0.77 1950 0.577 1951 0.865 1952 0.491 1953 1.005 1954 0.987 1955 1.342 1956 1.145 1957 1.321 1958 1.458 1959 1.391 1960 0.872 1961 1.009 1962 0.767 1963 0.447 1964 0.879 1965 0.792 1966 0.935 1967 1.049 1968 1.181 1969 1.302 1970 1.293 1971 1.045 1972 0.897 1973 1.294 1974 1.059 1975 0.848 1976 0.768 1977 0.951 1978 0.986 1979 0.927 1980 1.215 1981 1.095 1982 1.008 1983 1.079