# europe_spai021 - Pedriza - 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/3286 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai021 - Pedriza - 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: Pedriza # Location: # Country: Spain # Northernmost_Latitude: 40.87 # Southernmost_Latitude: 40.87 # Easternmost_Longitude: -4.2 # Westernmost_Longitude: -4.2 # Elevation: 1650 m #-------------------- # Data_Collection # Collection_Name: europe_spai021B # Earliest_Year: 1808 # Most_Recent_Year: 1988 # 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":"4.19840886439","T2":"14.5257821451","M1":"0.0225355814818","M2":"0.453734496267"}} #-------------------- # 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 1808 1.085 1809 0.788 1810 1.2 1811 1.337 1812 0.984 1813 0.966 1814 1.192 1815 1.143 1816 0.824 1817 0.957 1818 1.165 1819 1.179 1820 0.997 1821 1.121 1822 1.272 1823 1.146 1824 0.961 1825 0.889 1826 1.048 1827 0.981 1828 1.081 1829 0.762 1830 1.221 1831 0.922 1832 0.893 1833 1.072 1834 1.358 1835 1.353 1836 1.169 1837 1.445 1838 1.064 1839 1.004 1840 0.896 1841 0.959 1842 0.603 1843 0.651 1844 0.941 1845 0.65 1846 0.958 1847 0.623 1848 0.852 1849 0.868 1850 1.045 1851 0.775 1852 0.641 1853 0.853 1854 0.975 1855 0.635 1856 0.675 1857 0.854 1858 0.894 1859 0.958 1860 0.914 1861 1.003 1862 0.904 1863 0.87 1864 0.84 1865 0.478 1866 0.933 1867 1.247 1868 1.278 1869 1.268 1870 1.316 1871 0.984 1872 0.949 1873 1.022 1874 1.103 1875 1.154 1876 1.011 1877 0.707 1878 0.99 1879 0.838 1880 1.114 1881 1.481 1882 1.405 1883 0.825 1884 0.967 1885 1.157 1886 1.138 1887 0.974 1888 1.024 1889 1.21 1890 1.081 1891 0.839 1892 0.805 1893 1.203 1894 0.807 1895 0.98 1896 1.144 1897 1.14 1898 1.061 1899 0.9 1900 0.391 1901 0.704 1902 0.943 1903 1.31 1904 1.339 1905 0.731 1906 0.814 1907 1.082 1908 0.974 1909 0.721 1910 0.962 1911 1.1 1912 1.334 1913 1.357 1914 1.717 1915 1.116 1916 1.055 1917 1.01 1918 1.037 1919 0.948 1920 1.136 1921 0.758 1922 0.879 1923 1.279 1924 0.653 1925 0.516 1926 0.859 1927 0.659 1928 0.718 1929 0.726 1930 0.822 1931 0.871 1932 1.15 1933 1.308 1934 0.988 1935 0.837 1936 1.205 1937 1.459 1938 1.083 1939 0.76 1940 1.181 1941 0.801 1942 0.752 1943 0.666 1944 1.047 1945 1.161 1946 1.03 1947 1.005 1948 0.862 1949 0.981 1950 1.126 1951 1.19 1952 1.345 1953 1.15 1954 0.892 1955 0.875 1956 1.163 1957 1.354 1958 1.372 1959 1.42 1960 0.96 1961 1.344 1962 1.036 1963 0.62 1964 0.911 1965 0.925 1966 0.954 1967 0.913 1968 1.009 1969 0.931 1970 1.14 1971 0.553 1972 0.712 1973 1.042 1974 1.074 1975 0.79 1976 0.98 1977 1.029 1978 0.76 1979 0.7 1980 1.078 1981 1.005 1982 0.937 1983 1.072 1984 1.05 1985 0.86 1986 0.605 1987 1.003 1988 1.006