# europe_swit159w - Torrent des Croix 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/4687 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit159w - Torrent des Croix 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: Torrent des Croix VS # Location: # Country: Switzerland # Northernmost_Latitude: 46.12 # Southernmost_Latitude: 46.12 # Easternmost_Longitude: 7.18 # Westernmost_Longitude: 7.18 # Elevation: 1540 m #-------------------- # Data_Collection # Collection_Name: europe_swit159wB # Earliest_Year: 1842 # 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":"6.6857056651","T2":"17.2240740416","M1":"0.0225595000344","M2":"0.395926769666"}} #-------------------- # 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 1842 0.995 1843 1.21 1844 1.013 1845 1.062 1846 1.194 1847 1.12 1848 1.092 1849 0.903 1850 0.844 1851 0.967 1852 1.003 1853 1.16 1854 1.078 1855 0.76 1856 1.035 1857 0.849 1858 0.776 1859 0.955 1860 0.871 1861 0.941 1862 0.752 1863 0.824 1864 0.946 1865 0.643 1866 0.894 1867 1.084 1868 0.984 1869 1.12 1870 0.819 1871 1.028 1872 1.187 1873 1.006 1874 0.8 1875 1.127 1876 1.004 1877 1.031 1878 1.237 1879 1.129 1880 0.935 1881 1.276 1882 1.573 1883 1.451 1884 1.34 1885 1.16 1886 0.949 1887 1.033 1888 0.851 1889 0.96 1890 0.965 1891 1.006 1892 0.941 1893 0.761 1894 0.842 1895 0.97 1896 0.842 1897 0.994 1898 1.265 1899 1.104 1900 1.21 1901 0.912 1902 1.012 1903 0.865 1904 0.996 1905 1.124 1906 1.085 1907 1.003 1908 1.141 1909 0.948 1910 1.046 1911 1.079 1912 1.057 1913 0.95 1914 1.314 1915 1.082 1916 1.104 1917 1.122 1918 1.043 1919 0.884 1920 0.79 1921 0.358 1922 0.617 1923 0.715 1924 0.822 1925 0.906 1926 1.144 1927 0.936 1928 1.327 1929 1.18 1930 1.226 1931 1.171 1932 1.443 1933 0.987 1934 0.723 1935 0.873 1936 0.833 1937 0.956 1938 0.94 1939 1.024 1940 0.825 1941 0.981 1942 0.807 1943 1.043 1944 0.901 1945 0.938 1946 1.07 1947 0.868 1948 0.774 1949 1.189 1950 1.073 1951 1.249 1952 1.176 1953 0.988 1954 0.842 1955 0.988 1956 0.959 1957 0.93 1958 1.116 1959 1.027 1960 1.092 1961 0.956 1962 0.779 1963 0.988 1964 1.107 1965 1.011 1966 0.995 1967 1.089 1968 1.131 1969 1.123 1970 1.129 1971 0.956 1972 0.923 1973 1.022 1974 0.792 1975 0.593 1976 0.389 1977 0.662 1978 0.653 1979 0.667