# europe_swit176w - Lötschental oWG-SCH, CH - 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/4514 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit176w - Lötschental oWG-SCH, CH - 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: Lötschental oWG-SCH, CH # Location: # Country: Switzerland # Northernmost_Latitude: 46.43 # Southernmost_Latitude: 46.43 # Easternmost_Longitude: 7.82 # Westernmost_Longitude: 7.82 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: europe_swit176wB # Earliest_Year: 1813 # Most_Recent_Year: 1998 # 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":"4.40692004695","T2":"17.2705029902","M1":"0.0222685936324","M2":"0.398855991271"}} #-------------------- # 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 1813 0.782 1814 0.916 1815 0.95 1816 0.923 1817 0.953 1818 0.837 1819 0.844 1820 0.936 1821 0.739 1822 0.973 1823 0.966 1824 1.084 1825 1.084 1826 1.216 1827 1.118 1828 1.104 1829 1.074 1830 0.937 1831 1.117 1832 0.973 1833 0.974 1834 1.218 1835 1.132 1836 1.124 1837 1.053 1838 1.009 1839 1.103 1840 0.943 1841 1.099 1842 1.218 1843 0.881 1844 1.089 1845 1.036 1846 1.266 1847 1.018 1848 1.119 1849 0.891 1850 0.881 1851 0.963 1852 0.93 1853 0.916 1854 0.826 1855 0.865 1856 0.967 1857 0.927 1858 0.883 1859 1.002 1860 0.779 1861 1.027 1862 0.772 1863 0.999 1864 0.992 1865 0.975 1866 0.904 1867 1.07 1868 1.112 1869 1.034 1870 0.778 1871 0.88 1872 0.875 1873 0.989 1874 0.918 1875 1.033 1876 0.933 1877 1.081 1878 1.002 1879 1.023 1880 0.954 1881 1.294 1882 1.145 1883 1.191 1884 1.105 1885 1.066 1886 0.706 1887 0.869 1888 0.575 1889 0.951 1890 0.89 1891 0.821 1892 1.037 1893 1.105 1894 1.046 1895 1.021 1896 0.879 1897 1.052 1898 0.78 1899 0.784 1900 0.936 1901 0.954 1902 1.05 1903 0.966 1904 0.958 1905 0.983 1906 0.795 1907 0.671 1908 1.267 1909 0.885 1910 1.053 1911 1.255 1912 0.69 1913 0.84 1914 1.117 1915 1.122 1916 1.001 1917 1.203 1918 1.031 1919 1.098 1920 1.063 1921 1.073 1922 0.749 1923 0.968 1924 0.895 1925 0.993 1926 0.966 1927 0.977 1928 1.005 1929 0.743 1930 0.848 1931 1.152 1932 0.981 1933 0.712 1934 0.776 1935 0.921 1936 0.987 1937 1.039 1938 0.96 1939 1.01 1940 0.915 1941 1.04 1942 1.022 1943 1.011 1944 0.836 1945 0.977 1946 0.991 1947 0.858 1948 0.491 1949 0.733 1950 0.722 1951 0.919 1952 0.922 1953 0.739 1954 0.8 1955 1.182 1956 1.033 1957 1.147 1958 1.284 1959 1.324 1960 1.243 1961 1.446 1962 1.044 1963 1.099 1964 1.333 1965 1.186 1966 1.382 1967 1.324 1968 1.4 1969 1.458 1970 1.381 1971 1.159 1972 1.159 1973 1.166 1974 0.847 1975 0.669 1976 0.703 1977 0.739 1978 0.827 1979 0.805 1980 0.653 1981 0.642 1982 0.841 1983 0.804 1984 0.8 1985 0.912 1986 0.721 1987 0.701 1988 0.708 1989 0.88 1990 0.964 1991 0.932 1992 0.882 1993 1.147 1994 1.449 1995 1.137 1996 0.978 1997 1.149 1998 1.208