# europe_swit112 - Lauenen BE Bruchli - 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/4503 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit112 - Lauenen BE Bruchli - 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: Lauenen BE Bruchli # Location: # Country: Switzerland # Northernmost_Latitude: 46.42 # Southernmost_Latitude: 46.42 # Easternmost_Longitude: 7.32 # Westernmost_Longitude: 7.32 # Elevation: 1500 m #-------------------- # Data_Collection # Collection_Name: europe_swit112B # Earliest_Year: 1769 # Most_Recent_Year: 1976 # 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":"6.39272640847","T2":"17.4567390628","M1":"0.0226180649671","M2":"0.393548493212"}} #-------------------- # Species # Species_Name: Norway spruce # Species_Code: PCAB #-------------------- # 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 1769 1.133 1770 1.202 1771 1.213 1772 1.217 1773 1.093 1774 1.133 1775 1.192 1776 1.22 1777 1.116 1778 1.237 1779 1.16 1780 0.897 1781 1.136 1782 0.914 1783 1.096 1784 1.065 1785 1.083 1786 1.083 1787 1.04 1788 1.042 1789 0.878 1790 0.886 1791 0.845 1792 0.999 1793 0.914 1794 1.078 1795 0.953 1796 0.832 1797 0.793 1798 0.868 1799 0.795 1800 0.828 1801 0.788 1802 0.942 1803 0.793 1804 0.942 1805 0.935 1806 0.977 1807 0.967 1808 0.948 1809 0.997 1810 0.971 1811 1.14 1812 0.941 1813 0.886 1814 0.974 1815 0.937 1816 0.734 1817 0.926 1818 0.899 1819 0.92 1820 0.907 1821 0.836 1822 0.934 1823 0.791 1824 0.83 1825 1.083 1826 0.96 1827 0.906 1828 0.95 1829 0.979 1830 0.88 1831 0.841 1832 0.718 1833 0.766 1834 0.749 1835 0.759 1836 0.742 1837 0.808 1838 0.877 1839 0.781 1840 0.853 1841 0.893 1842 1.172 1843 0.964 1844 1.049 1845 1.049 1846 1.303 1847 1.037 1848 1.108 1849 1.104 1850 1.095 1851 1.192 1852 1.256 1853 1.144 1854 0.982 1855 0.899 1856 0.98 1857 1.076 1858 0.87 1859 0.9 1860 0.759 1861 0.851 1862 0.607 1863 0.727 1864 0.868 1865 0.77 1866 0.918 1867 1.095 1868 0.879 1869 0.865 1870 0.838 1871 0.874 1872 0.886 1873 0.956 1874 0.948 1875 0.989 1876 0.872 1877 0.995 1878 1.085 1879 1.046 1880 0.986 1881 1.26 1882 1.118 1883 1.098 1884 0.86 1885 0.895 1886 0.729 1887 0.846 1888 0.818 1889 1.002 1890 1.023 1891 0.952 1892 0.998 1893 1.021 1894 0.948 1895 1.031 1896 0.944 1897 1.07 1898 0.889 1899 0.984 1900 1.156 1901 1.574 1902 1.705 1903 1.881 1904 2.102 1905 1.793 1906 1.844 1907 1.818 1908 2.069 1909 1.469 1910 1.71 1911 1.633 1912 1.338 1913 1.289 1914 1.126 1915 1.274 1916 1.436 1917 1.497 1918 1.25 1919 1.159 1920 0.915 1921 1.082 1922 0.903 1923 1.108 1924 1.103 1925 1.028 1926 0.949 1927 1.165 1928 1.095 1929 0.792 1930 0.841 1931 0.91 1932 0.848 1933 0.633 1934 0.784 1935 0.871 1936 0.721 1937 0.963 1938 0.901 1939 0.916 1940 0.949 1941 0.942 1942 0.891 1943 0.918 1944 0.797 1945 0.95 1946 0.814 1947 1.136 1948 0.661 1949 0.862 1950 0.749 1951 0.928 1952 0.954 1953 0.915 1954 0.881 1955 1.079 1956 0.882 1957 0.9 1958 0.968 1959 0.941 1960 0.893 1961 0.854 1962 0.754 1963 0.686 1964 0.869 1965 0.714 1966 0.924 1967 0.918 1968 0.87 1969 0.92 1970 0.932 1971 0.823 1972 0.809 1973 0.973 1974 0.608 1975 0.736 1976 0.878