# europe_swit160w - Creux du Dailley VS - 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/4396 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit160w - Creux du Dailley VS - 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: Creux du Dailley VS # Location: # Country: Switzerland # Northernmost_Latitude: 46.13 # Southernmost_Latitude: 46.13 # Easternmost_Longitude: 7.18 # Westernmost_Longitude: 7.18 # Elevation: 1240 m #-------------------- # Data_Collection # Collection_Name: europe_swit160wB # Earliest_Year: 1760 # Most_Recent_Year: 1979 # 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":"6.59862327781","T2":"17.1943825687","M1":"0.0225506020936","M2":"0.391979111144"}} #-------------------- # 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 1760 0.964 1761 1.119 1762 0.741 1763 1.089 1764 1.042 1765 1.095 1766 1.007 1767 0.749 1768 0.766 1769 1.036 1770 1.104 1771 0.937 1772 1.03 1773 0.878 1774 1.06 1775 1.334 1776 1.022 1777 1.272 1778 0.747 1779 1.058 1780 1.076 1781 1.081 1782 1.123 1783 1.186 1784 0.971 1785 0.902 1786 1.036 1787 0.831 1788 0.841 1789 1.011 1790 0.996 1791 0.95 1792 1.013 1793 1.02 1794 1.093 1795 1.093 1796 1.067 1797 0.731 1798 0.793 1799 0.887 1800 0.824 1801 0.846 1802 1.001 1803 0.898 1804 1.045 1805 0.895 1806 0.93 1807 0.903 1808 0.829 1809 0.887 1810 0.695 1811 0.885 1812 1.028 1813 0.996 1814 0.915 1815 0.834 1816 1.055 1817 1.083 1818 1.169 1819 0.916 1820 1.0 1821 1.173 1822 0.896 1823 1.13 1824 1.001 1825 0.997 1826 0.865 1827 0.842 1828 0.779 1829 0.674 1830 0.756 1831 0.96 1832 0.771 1833 0.852 1834 0.629 1835 0.599 1836 0.645 1837 0.813 1838 0.827 1839 0.847 1840 0.751 1841 1.072 1842 1.145 1843 1.268 1844 0.963 1845 1.226 1846 1.767 1847 1.721 1848 1.448 1849 1.168 1850 0.884 1851 1.155 1852 0.799 1853 1.273 1854 0.85 1855 1.106 1856 1.167 1857 0.672 1858 0.312 1859 0.542 1860 0.704 1861 0.87 1862 0.962 1863 0.691 1864 0.924 1865 0.683 1866 0.995 1867 1.546 1868 1.412 1869 1.155 1870 0.696 1871 1.073 1872 1.157 1873 1.221 1874 0.665 1875 1.176 1876 1.469 1877 1.638 1878 1.743 1879 1.816 1880 0.975 1881 1.631 1882 1.643 1883 1.572 1884 1.162 1885 1.079 1886 0.902 1887 0.901 1888 0.789 1889 0.727 1890 0.773 1891 0.778 1892 0.725 1893 0.414 1894 0.346 1895 0.725 1896 0.827 1897 1.003 1898 1.102 1899 1.013 1900 0.96 1901 0.688 1902 1.022 1903 0.74 1904 1.155 1905 1.068 1906 1.135 1907 0.934 1908 0.932 1909 0.69 1910 1.017 1911 1.008 1912 1.096 1913 1.079 1914 1.398 1915 1.11 1916 1.261 1917 1.226 1918 1.056 1919 1.342 1920 0.955 1921 0.293 1922 0.854 1923 1.036 1924 1.133 1925 0.791 1926 1.466 1927 1.194 1928 1.153 1929 1.633 1930 1.511 1931 1.369 1932 1.792 1933 0.937 1934 0.553 1935 0.85 1936 0.977 1937 1.034 1938 0.759 1939 0.944 1940 0.97 1941 0.978 1942 0.625 1943 0.827 1944 0.446 1945 0.79 1946 0.824 1947 0.781 1948 0.796 1949 0.776 1950 0.788 1951 1.238 1952 1.173 1953 1.355 1954 1.016 1955 1.337 1956 1.109 1957 0.922 1958 1.083 1959 0.8 1960 0.979 1961 0.899 1962 0.91 1963 1.054 1964 0.909 1965 1.078 1966 1.169 1967 1.289 1968 0.877 1969 1.157 1970 1.247 1971 0.824 1972 0.649 1973 0.684 1974 0.568 1975 0.572 1976 0.21 1977 0.702 1978 0.721 1979 0.762