# europe_swit190 - Lucomagno TI Campo Solario - 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/8496 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit190 - Lucomagno TI Campo Solario - 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: Lucomagno TI Campo Solario # Location: # Country: Switzerland # Northernmost_Latitude: 46.55 # Southernmost_Latitude: 46.55 # Easternmost_Longitude: 8.82 # Westernmost_Longitude: 8.82 # Elevation: 1800 m #-------------------- # Data_Collection # Collection_Name: europe_swit190B # Earliest_Year: 1840 # Most_Recent_Year: 2008 # 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":"4.85070325147","T2":"17.6316717638","M1":"0.0223225189681","M2":"0.39551507382"}} #-------------------- # 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 1840 1.0 1841 0.882 1842 1.424 1843 0.743 1844 1.107 1845 1.015 1846 1.257 1847 1.244 1848 1.082 1849 1.119 1850 0.916 1851 0.864 1852 0.992 1853 1.044 1854 0.744 1855 0.778 1856 0.761 1857 0.883 1858 0.977 1859 1.111 1860 0.991 1861 1.112 1862 1.037 1863 0.958 1864 0.899 1865 1.029 1866 1.002 1867 0.782 1868 0.89 1869 0.716 1870 1.09 1871 0.619 1872 0.779 1873 0.885 1874 1.181 1875 1.002 1876 0.952 1877 0.906 1878 0.839 1879 0.782 1880 0.725 1881 1.088 1882 0.855 1883 1.013 1884 1.118 1885 1.2 1886 0.58 1887 1.178 1888 0.6 1889 0.874 1890 0.781 1891 0.822 1892 1.055 1893 1.031 1894 1.089 1895 1.04 1896 1.264 1897 1.249 1898 1.24 1899 1.431 1900 1.499 1901 1.449 1902 1.3 1903 0.999 1904 1.124 1905 1.137 1906 0.89 1907 1.02 1908 1.174 1909 0.785 1910 0.973 1911 1.013 1912 0.846 1913 0.48 1914 0.663 1915 0.973 1916 0.808 1917 1.513 1918 1.028 1919 1.048 1920 1.087 1921 1.476 1922 1.69 1923 1.476 1924 1.423 1925 1.479 1926 1.1 1927 1.536 1928 1.595 1929 0.956 1930 1.144 1931 1.248 1932 0.778 1933 0.969 1934 1.214 1935 1.399 1936 0.89 1937 0.891 1938 1.042 1939 0.948 1940 0.713 1941 1.028 1942 0.738 1943 1.12 1944 1.387 1945 1.326 1946 1.006 1947 1.558 1948 1.184 1949 1.205 1950 0.995 1951 0.967 1952 1.033 1953 0.724 1954 0.767 1955 0.955 1956 0.792 1957 0.678 1958 0.903 1959 0.987 1960 0.842 1961 0.767 1962 0.848 1963 0.662 1964 0.707 1965 0.941 1966 0.81 1967 0.916 1968 0.805 1969 0.955 1970 1.019 1971 1.156 1972 0.978 1973 1.043 1974 0.893 1975 0.7 1976 0.875 1977 0.684 1978 0.708 1979 0.934 1980 0.713 1981 0.893 1982 1.092 1983 0.972 1984 0.934 1985 0.863 1986 1.208 1987 0.914 1988 1.008 1989 1.157 1990 1.014 1991 1.187 1992 0.696 1993 0.874 1994 1.006 1995 1.22 1996 1.042 1997 0.855 1998 1.387 1999 0.882 2000 0.714 2001 0.874 2002 0.854 2003 0.933 2004 0.782 2005 0.875 2006 1.084 2007 0.842 2008 0.947