# europe_swit185 - Bergün GR Val Tuors - 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/6118 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit185 - Bergun GR Val Tuors - 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: Bergun GR Val Tuors # Location: # Country: Switzerland # Northernmost_Latitude: 46.63 # Southernmost_Latitude: 46.63 # Easternmost_Longitude: 9.78 # Westernmost_Longitude: 9.78 # Elevation: 2065 m #-------------------- # Data_Collection # Collection_Name: europe_swit185B # Earliest_Year: 1824 # Most_Recent_Year: 2007 # 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":"5.11185810452","T2":"17.1897546809","M1":"0.0222340853654","M2":"0.392273189138"}} #-------------------- # Species # Species_Name: European larch # Species_Code: LADE #-------------------- # 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 0.9 1825 0.69 1826 0.68 1827 0.747 1828 0.708 1829 0.816 1830 0.495 1831 0.605 1832 0.645 1833 0.964 1834 1.701 1835 0.864 1836 1.051 1837 1.129 1838 0.955 1839 1.11 1840 0.595 1841 0.571 1842 1.391 1843 0.482 1844 1.011 1845 0.999 1846 1.265 1847 0.872 1848 0.825 1849 1.629 1850 1.097 1851 0.899 1852 1.019 1853 1.003 1854 0.569 1855 0.875 1856 1.112 1857 1.357 1858 1.242 1859 1.299 1860 1.133 1861 1.606 1862 1.486 1863 1.697 1864 1.456 1865 1.414 1866 1.397 1867 0.979 1868 1.424 1869 1.186 1870 1.545 1871 0.728 1872 0.892 1873 1.139 1874 1.771 1875 1.918 1876 1.497 1877 1.365 1878 0.952 1879 0.991 1880 0.718 1881 0.733 1882 0.342 1883 0.598 1884 0.543 1885 0.951 1886 0.488 1887 1.197 1888 0.577 1889 1.086 1890 0.56 1891 0.896 1892 1.237 1893 1.196 1894 0.981 1895 0.855 1896 1.055 1897 0.699 1898 0.607 1899 0.85 1900 0.888 1901 0.459 1902 0.465 1903 0.586 1904 1.371 1905 1.075 1906 0.754 1907 0.776 1908 1.534 1909 0.558 1910 0.829 1911 1.071 1912 1.056 1913 0.371 1914 0.499 1915 0.728 1916 0.585 1917 1.208 1918 0.462 1919 0.616 1920 0.662 1921 0.823 1922 1.093 1923 0.533 1924 1.181 1925 1.046 1926 0.416 1927 0.996 1928 1.233 1929 0.666 1930 1.015 1931 1.587 1932 0.881 1933 0.762 1934 0.79 1935 1.451 1936 0.821 1937 0.97 1938 1.032 1939 0.913 1940 0.699 1941 1.017 1942 0.876 1943 1.209 1944 1.553 1945 1.616 1946 0.829 1947 1.325 1948 0.742 1949 1.49 1950 1.71 1951 1.34 1952 1.455 1953 0.457 1954 0.655 1955 0.718 1956 0.533 1957 0.634 1958 1.131 1959 1.047 1960 1.058 1961 1.068 1962 1.212 1963 0.865 1964 0.82 1965 0.863 1966 0.914 1967 1.236 1968 0.741 1969 0.822 1970 0.93 1971 0.774 1972 0.811 1973 0.77 1974 0.424 1975 0.254 1976 0.752 1977 0.569 1978 0.562 1979 0.986 1980 0.677 1981 0.767 1982 1.367 1983 1.22 1984 1.038 1985 0.93 1986 0.901 1987 1.005 1988 1.234 1989 1.027 1990 0.941 1991 1.087 1992 0.948 1993 1.134 1994 1.373 1995 1.397 1996 0.922 1997 0.765 1998 1.329 1999 0.897 2000 1.209 2001 1.512 2002 1.233 2003 1.23 2004 1.265 2005 1.386 2006 1.14 2007 1.183