# europe_swed307 - Lerbäck, Askersund - 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/2668 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed307 - Lerbäck, Askersund - 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: Lerbäck, Askersund # Location: # Country: Sweden # Northernmost_Latitude: 58.95 # Southernmost_Latitude: 58.95 # Easternmost_Longitude: 15.03 # Westernmost_Longitude: 15.03 # Elevation: 130 m #-------------------- # Data_Collection # Collection_Name: europe_swed307B # Earliest_Year: 1813 # Most_Recent_Year: 2004 # 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":"4.48030598843","T2":"18.0782539635","M1":"0.0225209716416","M2":"0.461304881304"}} #-------------------- # Species # Species_Name: Scots pine # Species_Code: PISY #-------------------- # 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 1813 1.246 1814 1.173 1815 1.282 1816 1.016 1817 1.246 1818 0.885 1819 0.897 1820 0.792 1821 1.026 1822 0.846 1823 1.027 1824 1.281 1825 0.946 1826 1.141 1827 1.087 1828 1.255 1829 0.904 1830 1.183 1831 1.112 1832 0.874 1833 0.847 1834 0.928 1835 0.866 1836 0.903 1837 0.952 1838 0.737 1839 0.949 1840 0.894 1841 0.745 1842 0.778 1843 0.854 1844 1.035 1845 1.054 1846 1.146 1847 0.915 1848 1.074 1849 0.966 1850 0.843 1851 0.85 1852 0.756 1853 0.557 1854 0.962 1855 1.024 1856 0.92 1857 0.888 1858 1.132 1859 1.236 1860 1.351 1861 1.096 1862 0.867 1863 0.92 1864 0.966 1865 1.236 1866 1.258 1867 1.096 1868 1.08 1869 0.998 1870 1.428 1871 1.353 1872 1.248 1873 0.972 1874 1.098 1875 1.096 1876 1.12 1877 1.071 1878 1.106 1879 0.922 1880 0.99 1881 0.947 1882 1.42 1883 0.703 1884 1.076 1885 1.079 1886 1.087 1887 0.956 1888 0.663 1889 0.698 1890 0.876 1891 0.884 1892 0.966 1893 1.136 1894 1.419 1895 0.92 1896 1.1 1897 1.092 1898 1.197 1899 0.84 1900 0.718 1901 0.659 1902 0.591 1903 0.809 1904 0.988 1905 0.8 1906 0.788 1907 0.889 1908 0.576 1909 0.56 1910 0.77 1911 0.626 1912 0.601 1913 0.4 1914 0.489 1915 0.442 1916 0.538 1917 0.57 1918 0.48 1919 0.494 1920 0.571 1921 0.748 1922 0.837 1923 0.899 1924 0.977 1925 1.053 1926 1.166 1927 1.383 1928 1.011 1929 0.917 1930 0.712 1931 0.695 1932 0.776 1933 0.586 1934 0.641 1935 0.975 1936 0.99 1937 1.042 1938 1.478 1939 1.45 1940 0.931 1941 1.064 1942 0.847 1943 0.896 1944 0.597 1945 0.876 1946 1.053 1947 1.03 1948 0.871 1949 1.183 1950 1.114 1951 1.168 1952 1.059 1953 1.691 1954 1.155 1955 0.938 1956 0.987 1957 1.381 1958 1.409 1959 1.046 1960 0.917 1961 0.795 1962 0.904 1963 0.94 1964 1.211 1965 1.159 1966 0.843 1967 1.333 1968 1.271 1969 0.772 1970 0.617 1971 0.64 1972 0.791 1973 0.913 1974 1.186 1975 1.256 1976 0.949 1977 1.001 1978 1.096 1979 1.064 1980 1.189 1981 1.15 1982 0.893 1983 1.114 1984 1.041 1985 0.76 1986 0.837 1987 0.889 1988 1.006 1989 1.073 1990 1.661 1991 1.57 1992 1.649 1993 1.684 1994 1.522 1995 1.579 1996 1.161 1997 1.386 1998 0.883 1999 0.961 2000 1.042 2001 0.626 2002 0.471 2003 0.694 2004 0.807