# europe_spai004 - Las Blancas Jaca - 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/4501 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_spai004 - Las Blancas Jaca - 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 Blancas Jaca # Location: # Country: Spain # Northernmost_Latitude: 42.68 # Southernmost_Latitude: 42.68 # Easternmost_Longitude: -0.57 # Westernmost_Longitude: -0.57 # Elevation: 1760 m #-------------------- # Data_Collection # Collection_Name: europe_spai004B # Earliest_Year: 1824 # Most_Recent_Year: 1977 # 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":"4.52717976341","T2":"17.9308267948","M1":"0.0224996122317","M2":"0.33416919361"}} #-------------------- # Species # Species_Name: krummholz pine # Species_Code: PIMU #-------------------- # 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 1824 0.985 1825 1.213 1826 1.047 1827 1.105 1828 1.137 1829 1.059 1830 1.097 1831 0.966 1832 0.882 1833 0.951 1834 1.196 1835 1.106 1836 0.984 1837 1.217 1838 1.103 1839 0.979 1840 0.969 1841 1.024 1842 1.016 1843 0.992 1844 0.921 1845 0.796 1846 1.114 1847 0.897 1848 0.933 1849 1.01 1850 0.942 1851 0.789 1852 0.808 1853 0.9 1854 1.012 1855 0.828 1856 1.011 1857 1.041 1858 0.851 1859 0.984 1860 0.8 1861 1.044 1862 0.862 1863 0.96 1864 1.129 1865 0.934 1866 0.923 1867 1.069 1868 0.915 1869 0.961 1870 0.864 1871 1.119 1872 1.001 1873 0.964 1874 1.0 1875 1.041 1876 0.81 1877 0.882 1878 1.086 1879 0.765 1880 0.753 1881 0.904 1882 0.79 1883 0.837 1884 1.11 1885 0.991 1886 0.888 1887 0.96 1888 0.851 1889 1.073 1890 0.95 1891 0.929 1892 1.094 1893 1.237 1894 0.93 1895 1.123 1896 0.922 1897 1.286 1898 1.26 1899 1.026 1900 1.083 1901 1.051 1902 1.244 1903 1.146 1904 1.06 1905 1.296 1906 1.251 1907 1.24 1908 1.114 1909 1.024 1910 1.014 1911 1.01 1912 0.768 1913 0.93 1914 0.915 1915 1.001 1916 1.089 1917 0.902 1918 0.846 1919 0.855 1920 1.064 1921 1.073 1922 0.709 1923 1.105 1924 0.929 1925 1.092 1926 1.08 1927 0.901 1928 1.042 1929 0.967 1930 1.11 1931 1.007 1932 1.12 1933 1.035 1934 0.744 1935 0.782 1936 0.859 1937 0.995 1938 1.097 1939 1.087 1940 0.974 1941 0.765 1942 0.683 1943 0.787 1944 0.899 1945 0.962 1946 0.893 1947 0.868 1948 1.146 1949 1.088 1950 0.892 1951 1.027 1952 1.121 1953 1.238 1954 1.013 1955 1.087 1956 1.03 1957 0.954 1958 1.204 1959 1.225 1960 1.022 1961 1.078 1962 0.769 1963 0.495 1964 0.778 1965 0.806 1966 0.967 1967 0.863 1968 0.98 1969 1.096 1970 0.851 1971 1.008 1972 0.701 1973 1.099 1974 1.069 1975 1.196 1976 1.415 1977 1.004