# europe_swit130 - Pierre Avoi 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/4587 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit130 - Pierre Avoi 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: Pierre Avoi VS # Location: # Country: Switzerland # Northernmost_Latitude: 46.12 # Southernmost_Latitude: 46.12 # Easternmost_Longitude: 7.18 # Westernmost_Longitude: 7.18 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: europe_swit130B # Earliest_Year: 1829 # 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":"4.92302814029","T2":"17.55454663","M1":"0.0224162329874","M2":"0.405366888372"}} #-------------------- # 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 1829 0.776 1830 0.577 1831 0.81 1832 0.799 1833 0.807 1834 0.957 1835 1.097 1836 0.977 1837 0.96 1838 0.814 1839 0.666 1840 0.725 1841 0.77 1842 1.004 1843 0.902 1844 1.09 1845 1.035 1846 1.492 1847 1.336 1848 1.383 1849 1.328 1850 1.358 1851 1.439 1852 1.446 1853 1.391 1854 1.205 1855 1.332 1856 1.389 1857 1.343 1858 1.149 1859 1.435 1860 0.974 1861 1.139 1862 1.116 1863 1.617 1864 1.412 1865 1.36 1866 1.255 1867 1.419 1868 1.345 1869 1.237 1870 1.169 1871 1.146 1872 1.133 1873 1.075 1874 1.088 1875 1.068 1876 1.065 1877 1.0 1878 0.872 1879 0.866 1880 0.791 1881 1.154 1882 1.003 1883 0.901 1884 1.003 1885 1.213 1886 0.919 1887 1.154 1888 0.842 1889 1.109 1890 0.944 1891 0.915 1892 1.084 1893 0.994 1894 1.005 1895 0.918 1896 0.902 1897 1.145 1898 0.902 1899 0.887 1900 0.961 1901 1.032 1902 0.986 1903 0.857 1904 0.895 1905 0.793 1906 0.629 1907 0.615 1908 0.968 1909 0.553 1910 0.825 1911 0.92 1912 0.736 1913 0.709 1914 0.926 1915 1.016 1916 0.902 1917 1.074 1918 0.941 1919 1.013 1920 1.118 1921 1.11 1922 0.894 1923 1.123 1924 1.048 1925 1.164 1926 0.977 1927 1.164 1928 1.373 1929 0.964 1930 0.941 1931 1.281 1932 0.997 1933 0.77 1934 0.877 1935 1.078 1936 0.848 1937 0.947 1938 0.882 1939 0.789 1940 0.675 1941 0.915 1942 0.964 1943 1.063 1944 0.927 1945 0.976 1946 0.944 1947 1.088 1948 0.541 1949 1.17 1950 0.987 1951 1.072 1952 1.231 1953 1.135 1954 1.018 1955 1.252 1956 1.064 1957 1.058 1958 1.068 1959 1.158 1960 1.173 1961 1.169 1962 0.993 1963 1.041 1964 1.164 1965 0.978 1966 1.055 1967 1.23 1968 0.957 1969 1.07 1970 1.029 1971 0.967 1972 0.817 1973 1.138 1974 0.792 1975 0.69 1976 0.774 1977 0.688 1978 0.617 1979 0.858