# europe_swit144w - Madiswil BE, Tanne gesun - 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/4517 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swit144w - Madiswil BE, Tanne gesun - 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: Madiswil BE, Tanne gesun # Location: # Country: Switzerland # Northernmost_Latitude: 47.15 # Southernmost_Latitude: 47.15 # Easternmost_Longitude: 7.8 # Westernmost_Longitude: 7.8 # Elevation: 675 m #-------------------- # Data_Collection # Collection_Name: europe_swit144wB # Earliest_Year: 1829 # Most_Recent_Year: 1977 # 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":"4.15321547152","T2":"17.0511835888","M1":"0.022703950869","M2":"0.544761940424"}} #-------------------- # 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 1829 1.517 1830 1.311 1831 1.521 1832 1.602 1833 0.859 1834 1.232 1835 1.03 1836 1.093 1837 1.0 1838 1.2 1839 1.265 1840 1.388 1841 1.327 1842 1.408 1843 1.27 1844 1.187 1845 1.374 1846 1.425 1847 1.012 1848 1.067 1849 1.071 1850 1.036 1851 1.036 1852 1.226 1853 1.269 1854 1.159 1855 1.144 1856 1.001 1857 0.86 1858 0.679 1859 1.111 1860 0.9 1861 1.314 1862 0.797 1863 1.078 1864 1.041 1865 0.71 1866 0.961 1867 1.139 1868 0.971 1869 0.887 1870 0.797 1871 1.023 1872 0.97 1873 1.032 1874 0.882 1875 0.785 1876 0.969 1877 0.971 1878 1.073 1879 1.133 1880 0.914 1881 1.093 1882 0.94 1883 0.999 1884 0.972 1885 0.892 1886 0.752 1887 0.814 1888 0.687 1889 0.768 1890 0.947 1891 0.849 1892 0.764 1893 0.815 1894 0.88 1895 0.871 1896 0.735 1897 0.989 1898 1.01 1899 0.768 1900 0.844 1901 1.167 1902 1.125 1903 1.256 1904 1.18 1905 0.939 1906 1.054 1907 0.75 1908 0.771 1909 0.603 1910 0.809 1911 0.863 1912 0.495 1913 1.122 1914 1.027 1915 0.975 1916 1.227 1917 1.014 1918 0.668 1919 0.752 1920 0.614 1921 0.623 1922 0.36 1923 0.549 1924 0.551 1925 0.83 1926 0.798 1927 0.886 1928 1.167 1929 0.865 1930 1.13 1931 0.94 1932 1.234 1933 0.818 1934 0.663 1935 1.055 1936 0.978 1937 1.634 1938 1.288 1939 1.201 1940 1.224 1941 1.224 1942 1.102 1943 1.355 1944 0.826 1945 0.947 1946 0.622 1947 0.939 1948 0.385 1949 0.729 1950 0.953 1951 0.872 1952 0.997 1953 0.992 1954 1.068 1955 1.487 1956 1.076 1957 1.103 1958 0.986 1959 1.492 1960 1.241 1961 1.467 1962 1.112 1963 0.878 1964 0.873 1965 0.781 1966 1.212 1967 1.117 1968 0.706 1969 1.087 1970 1.047 1971 0.74 1972 1.392 1973 0.87 1974 0.483 1975 0.925 1976 0.663 1977 1.091