# europe_swit181 - Davos GR Dischma-Fluela - 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/2736 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit181 - Davos GR Dischma-Fluela - 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: Davos GR Dischma-Fluela # Location: # Country: Switzerland # Northernmost_Latitude: 46.78 # Southernmost_Latitude: 46.78 # Easternmost_Longitude: 9.88 # Westernmost_Longitude: 9.88 # Elevation: 1800 m #-------------------- # Data_Collection # Collection_Name: europe_swit181B # Earliest_Year: 1799 # Most_Recent_Year: 1999 # 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":"5.08912498214","T2":"16.8277880109","M1":"0.0226234436709","M2":"0.401782471747"}} #-------------------- # 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 1799 0.866 1800 0.859 1801 0.877 1802 1.045 1803 0.854 1804 1.005 1805 0.694 1806 0.936 1807 0.879 1808 0.692 1809 0.971 1810 0.83 1811 1.142 1812 0.819 1813 0.587 1814 0.775 1815 0.632 1816 0.536 1817 0.917 1818 0.519 1819 0.636 1820 0.517 1821 0.389 1822 1.033 1823 0.87 1824 1.057 1825 0.987 1826 0.987 1827 0.935 1828 1.134 1829 1.136 1830 1.113 1831 1.107 1832 1.05 1833 1.168 1834 1.385 1835 1.243 1836 0.97 1837 0.869 1838 0.737 1839 0.926 1840 0.86 1841 1.058 1842 1.228 1843 0.782 1844 1.158 1845 1.067 1846 1.271 1847 1.02 1848 1.115 1849 1.072 1850 0.912 1851 0.879 1852 1.165 1853 1.092 1854 0.817 1855 1.075 1856 1.01 1857 1.019 1858 0.732 1859 0.761 1860 0.539 1861 0.743 1862 0.67 1863 0.985 1864 0.896 1865 0.858 1866 0.891 1867 1.034 1868 0.903 1869 0.838 1870 0.929 1871 0.732 1872 0.805 1873 1.082 1874 1.09 1875 0.943 1876 0.921 1877 0.99 1878 0.819 1879 0.937 1880 0.907 1881 1.323 1882 1.248 1883 1.168 1884 1.091 1885 1.318 1886 1.094 1887 1.158 1888 0.862 1889 1.149 1890 0.76 1891 0.748 1892 1.065 1893 0.971 1894 1.142 1895 1.232 1896 0.821 1897 1.016 1898 0.796 1899 0.848 1900 0.974 1901 1.111 1902 0.901 1903 0.995 1904 1.335 1905 1.345 1906 1.088 1907 1.076 1908 1.322 1909 0.776 1910 0.941 1911 1.083 1912 1.026 1913 0.714 1914 1.011 1915 0.846 1916 0.859 1917 1.079 1918 0.675 1919 0.997 1920 0.894 1921 1.354 1922 1.207 1923 1.362 1924 1.354 1925 1.095 1926 0.781 1927 0.908 1928 0.94 1929 0.891 1930 0.846 1931 1.059 1932 0.858 1933 0.712 1934 0.697 1935 1.019 1936 0.962 1937 1.058 1938 0.99 1939 1.076 1940 1.05 1941 1.166 1942 1.127 1943 0.987 1944 1.037 1945 1.11 1946 1.446 1947 1.418 1948 0.656 1949 1.191 1950 1.014 1951 1.096 1952 1.331 1953 0.919 1954 1.03 1955 1.168 1956 1.02 1957 1.026 1958 1.165 1959 1.204 1960 1.143 1961 1.173 1962 0.837 1963 0.775 1964 0.825 1965 0.714 1966 0.728 1967 0.861 1968 0.836 1969 0.913 1970 0.855 1971 0.836 1972 0.891 1973 0.959 1974 0.685 1975 0.444 1976 0.842 1977 0.818 1978 0.736 1979 0.978 1980 0.755 1981 0.761 1982 1.148 1983 1.219 1984 1.099 1985 1.277 1986 1.229 1987 1.044 1988 1.368 1989 1.191 1990 1.281 1991 1.11 1992 0.991 1993 1.08 1994 1.205 1995 1.224 1996 0.894 1997 0.866 1998 1.035 1999 1.083