# europe_swit122 - Mittleri Hellelawald - 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: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit122 - Mittleri Hellelawald - 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: Mittleri Hellelawald # Location: # Country: Switzerland # Northernmost_Latitude: 46.3 # Southernmost_Latitude: 46.3 # Easternmost_Longitude: 7.83 # Westernmost_Longitude: 7.83 # Elevation: 1510 m #-------------------- # Data_Collection # Collection_Name: europe_swit122B # Earliest_Year: 1811 # Most_Recent_Year: 1980 # 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":"5.12819834919","T2":"17.2047451843","M1":"0.0225853034983","M2":"0.402042287362"}} #-------------------- # 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 1811 1.054 1812 0.886 1813 0.972 1814 1.0 1815 0.889 1816 0.849 1817 0.951 1818 0.856 1819 0.961 1820 0.873 1821 0.688 1822 0.748 1823 0.908 1824 0.833 1825 0.935 1826 0.856 1827 0.837 1828 0.811 1829 0.712 1830 0.842 1831 0.73 1832 0.727 1833 0.663 1834 0.673 1835 0.603 1836 0.702 1837 0.68 1838 0.684 1839 0.761 1840 0.959 1841 0.972 1842 0.945 1843 0.913 1844 0.995 1845 0.996 1846 1.228 1847 1.274 1848 1.347 1849 1.217 1850 1.201 1851 1.13 1852 1.044 1853 1.127 1854 1.016 1855 1.235 1856 1.237 1857 1.034 1858 1.074 1859 1.171 1860 0.952 1861 1.051 1862 0.926 1863 1.131 1864 1.04 1865 0.857 1866 0.94 1867 1.026 1868 1.009 1869 0.926 1870 0.845 1871 1.001 1872 0.858 1873 1.018 1874 0.833 1875 0.991 1876 1.009 1877 0.924 1878 1.027 1879 0.99 1880 1.017 1881 1.056 1882 1.149 1883 1.518 1884 1.508 1885 1.226 1886 1.278 1887 1.307 1888 1.213 1889 1.425 1890 1.254 1891 1.122 1892 1.333 1893 1.028 1894 0.822 1895 1.055 1896 1.054 1897 1.156 1898 1.139 1899 1.206 1900 1.104 1901 1.096 1902 1.053 1903 0.897 1904 1.048 1905 0.967 1906 0.906 1907 0.955 1908 1.193 1909 0.91 1910 1.119 1911 1.139 1912 0.789 1913 0.882 1914 0.849 1915 0.921 1916 1.117 1917 1.112 1918 1.146 1919 1.154 1920 1.088 1921 0.588 1922 0.543 1923 0.843 1924 0.877 1925 0.884 1926 0.984 1927 1.032 1928 0.955 1929 0.75 1930 0.755 1931 0.874 1932 0.804 1933 0.667 1934 0.729 1935 0.815 1936 0.751 1937 0.924 1938 0.834 1939 0.8 1940 1.008 1941 0.998 1942 0.795 1943 0.958 1944 0.849 1945 0.915 1946 1.168 1947 1.121 1948 0.854 1949 0.939 1950 0.796 1951 1.034 1952 1.113 1953 1.156 1954 1.121 1955 1.334 1956 1.039 1957 1.056 1958 0.99 1959 0.982 1960 0.885 1961 0.909 1962 0.867 1963 0.888 1964 0.956 1965 0.798 1966 0.886 1967 0.946 1968 0.873 1969 1.053 1970 0.898 1971 0.839 1972 0.963 1973 1.07 1974 0.718 1975 0.872 1976 0.857 1977 1.089 1978 1.069 1979 1.227 1980 1.092