# europe_swit115 - Susten Zand Fichte - 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/4671 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit115 - Susten Zand Fichte - 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: Susten Zand Fichte # Location: # Country: Switzerland # Northernmost_Latitude: 46.3 # Southernmost_Latitude: 46.3 # Easternmost_Longitude: 7.62 # Westernmost_Longitude: 7.62 # Elevation: 840 m #-------------------- # Data_Collection # Collection_Name: europe_swit115B # Earliest_Year: 1835 # Most_Recent_Year: 1981 # 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":"6.77884722443","T2":"17.3949753815","M1":"0.0226322759894","M2":"0.386505962502"}} #-------------------- # Species # Species_Name: silver fir # Species_Code: ABAL #-------------------- # 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 1835 0.306 1836 0.542 1837 0.628 1838 0.739 1839 0.62 1840 0.595 1841 0.691 1842 0.715 1843 0.963 1844 0.615 1845 0.802 1846 0.927 1847 0.625 1848 0.714 1849 0.946 1850 0.911 1851 1.152 1852 1.181 1853 1.427 1854 1.196 1855 1.092 1856 1.042 1857 0.692 1858 0.507 1859 0.799 1860 0.754 1861 1.05 1862 0.708 1863 1.005 1864 0.923 1865 0.622 1866 0.985 1867 1.13 1868 1.038 1869 1.056 1870 0.934 1871 1.249 1872 1.269 1873 1.26 1874 0.832 1875 1.205 1876 1.687 1877 1.414 1878 1.45 1879 1.511 1880 1.059 1881 1.14 1882 0.924 1883 1.152 1884 0.953 1885 0.766 1886 0.868 1887 0.999 1888 0.957 1889 1.377 1890 1.196 1891 1.083 1892 1.115 1893 0.533 1894 0.602 1895 0.916 1896 1.117 1897 1.372 1898 1.624 1899 1.098 1900 1.225 1901 1.137 1902 1.391 1903 0.943 1904 1.281 1905 1.198 1906 1.13 1907 0.917 1908 0.93 1909 0.775 1910 1.039 1911 1.019 1912 0.886 1913 1.242 1914 1.349 1915 1.204 1916 1.492 1917 0.957 1918 1.082 1919 1.219 1920 1.22 1921 0.287 1922 0.861 1923 1.037 1924 0.902 1925 0.648 1926 1.305 1927 0.996 1928 1.254 1929 1.304 1930 1.387 1931 1.268 1932 1.744 1933 1.241 1934 0.981 1935 1.13 1936 1.136 1937 1.246 1938 0.798 1939 0.982 1940 1.256 1941 1.217 1942 0.811 1943 0.928 1944 0.434 1945 0.783 1946 0.998 1947 0.893 1948 0.581 1949 0.718 1950 0.599 1951 0.938 1952 0.975 1953 0.903 1954 0.729 1955 1.326 1956 0.859 1957 0.965 1958 0.932 1959 0.732 1960 0.738 1961 0.815 1962 0.774 1963 0.815 1964 0.802 1965 1.008 1966 0.922 1967 0.961 1968 0.602 1969 0.898 1970 0.635 1971 0.553 1972 0.306 1973 0.405 1974 0.331 1975 0.468 1976 0.384 1977 0.549 1978 0.498 1979 0.431 1980 0.396 1981 0.467