# europe_swit182 - Andeer GR Caschlera - 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/5500 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit182 - Andeer GR Caschlera - 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: Andeer GR Caschlera # Location: # Country: Switzerland # Northernmost_Latitude: 46.58 # Southernmost_Latitude: 46.58 # Easternmost_Longitude: 9.4 # Westernmost_Longitude: 9.4 # Elevation: 2000 m #-------------------- # Data_Collection # Collection_Name: europe_swit182B # Earliest_Year: 1788 # Most_Recent_Year: 2006 # 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":"5.15392164636","T2":"16.9704982559","M1":"0.0225332207807","M2":"0.389957066181"}} #-------------------- # Species # Species_Name: Swiss stone pine # Species_Code: PICE #-------------------- # 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 1788 1.269 1789 1.209 1790 0.988 1791 1.23 1792 1.069 1793 1.063 1794 1.267 1795 0.991 1796 1.195 1797 1.339 1798 1.25 1799 1.017 1800 1.074 1801 1.085 1802 1.393 1803 1.172 1804 1.084 1805 1.043 1806 1.263 1807 1.209 1808 0.952 1809 0.64 1810 0.888 1811 0.928 1812 0.903 1813 0.57 1814 0.795 1815 0.243 1816 0.168 1817 0.137 1818 -0.086 1819 -0.036 1820 0.041 1821 0.168 1822 0.582 1823 0.926 1824 0.851 1825 1.133 1826 1.056 1827 1.402 1828 1.464 1829 1.709 1830 1.405 1831 1.099 1832 0.868 1833 0.821 1834 0.865 1835 1.185 1836 0.667 1837 0.94 1838 0.901 1839 0.964 1840 1.172 1841 1.249 1842 1.526 1843 0.946 1844 1.218 1845 1.137 1846 1.219 1847 1.348 1848 1.186 1849 1.066 1850 1.039 1851 0.853 1852 0.574 1853 0.629 1854 0.47 1855 0.582 1856 0.688 1857 0.729 1858 0.722 1859 1.025 1860 1.086 1861 1.146 1862 1.234 1863 1.508 1864 1.304 1865 1.224 1866 1.382 1867 1.341 1868 1.062 1869 1.455 1870 1.007 1871 1.179 1872 0.989 1873 1.072 1874 1.224 1875 1.38 1876 1.165 1877 1.089 1878 0.894 1879 0.932 1880 0.882 1881 0.94 1882 0.748 1883 0.794 1884 0.846 1885 0.811 1886 0.745 1887 1.06 1888 0.858 1889 1.227 1890 0.789 1891 0.645 1892 0.777 1893 0.746 1894 0.809 1895 0.757 1896 0.747 1897 0.771 1898 0.776 1899 0.754 1900 0.833 1901 0.927 1902 0.844 1903 0.855 1904 1.161 1905 1.07 1906 0.938 1907 1.096 1908 1.039 1909 0.976 1910 0.905 1911 0.923 1912 0.891 1913 0.481 1914 0.661 1915 0.679 1916 0.504 1917 0.617 1918 0.443 1919 0.585 1920 0.485 1921 0.726 1922 0.684 1923 0.855 1924 0.738 1925 0.75 1926 0.586 1927 0.91 1928 1.016 1929 0.999 1930 0.98 1931 1.059 1932 0.932 1933 0.704 1934 0.738 1935 0.851 1936 1.062 1937 1.124 1938 1.063 1939 1.059 1940 0.964 1941 0.842 1942 0.912 1943 1.031 1944 1.11 1945 0.918 1946 1.346 1947 1.251 1948 0.927 1949 1.05 1950 1.14 1951 1.307 1952 1.46 1953 1.18 1954 1.053 1955 1.117 1956 1.059 1957 0.78 1958 1.118 1959 0.928 1960 0.731 1961 0.663 1962 0.849 1963 0.795 1964 0.801 1965 0.889 1966 0.96 1967 1.073 1968 1.084 1969 1.245 1970 1.316 1971 1.341 1972 1.081 1973 1.166 1974 1.108 1975 0.847 1976 1.229 1977 1.158 1978 1.061 1979 1.194 1980 0.952 1981 0.871 1982 1.105 1983 1.18 1984 1.095 1985 1.2 1986 1.016 1987 0.985 1988 1.224 1989 1.004 1990 0.815 1991 1.155 1992 1.343 1993 1.056 1994 1.085 1995 1.275 1996 0.872 1997 0.749 1998 1.014 1999 1.007 2000 0.919 2001 1.185 2002 0.982 2003 0.955 2004 1.209 2005 1.222 2006 1.447