# europe_swed008 - Ostersund - 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/3476 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed008 - Ostersund - 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: Ostersund # Location: # Country: Sweden # Northernmost_Latitude: 62.82 # Southernmost_Latitude: 62.82 # Easternmost_Longitude: 14.8 # Westernmost_Longitude: 14.8 # Elevation: 325 m #-------------------- # Data_Collection # Collection_Name: europe_swed008B # Earliest_Year: 1724 # Most_Recent_Year: 1971 # 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":"4.1142845998","T2":"17.0718163445","M1":"0.0227790722003","M2":"0.469726787582"}} #-------------------- # 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 1724 0.874 1725 0.789 1726 1.022 1727 1.009 1728 0.842 1729 0.883 1730 1.107 1731 1.037 1732 1.076 1733 1.11 1734 1.056 1735 1.107 1736 1.179 1737 1.015 1738 1.236 1739 1.164 1740 0.88 1741 0.671 1742 0.862 1743 1.007 1744 0.989 1745 0.848 1746 0.961 1747 0.938 1748 1.134 1749 1.135 1750 1.463 1751 1.209 1752 1.495 1753 1.274 1754 1.258 1755 1.294 1756 0.97 1757 1.082 1758 1.054 1759 1.172 1760 1.016 1761 1.048 1762 1.121 1763 1.226 1764 1.096 1765 0.914 1766 1.188 1767 1.012 1768 0.967 1769 0.867 1770 0.757 1771 0.706 1772 0.724 1773 0.693 1774 0.775 1775 1.005 1776 1.052 1777 0.878 1778 0.977 1779 0.852 1780 0.775 1781 0.844 1782 0.689 1783 0.705 1784 0.902 1785 0.873 1786 0.682 1787 0.669 1788 0.809 1789 0.913 1790 0.65 1791 0.95 1792 0.833 1793 0.82 1794 0.957 1795 0.849 1796 0.818 1797 0.8 1798 0.791 1799 0.888 1800 0.595 1801 0.875 1802 0.857 1803 0.71 1804 0.853 1805 1.011 1806 0.726 1807 0.999 1808 0.886 1809 0.907 1810 0.715 1811 0.88 1812 0.705 1813 0.772 1814 0.79 1815 0.871 1816 0.959 1817 1.007 1818 1.188 1819 1.435 1820 0.98 1821 0.726 1822 0.989 1823 1.224 1824 1.277 1825 1.139 1826 1.666 1827 1.234 1828 1.574 1829 1.264 1830 1.145 1831 1.239 1832 0.913 1833 1.231 1834 1.019 1835 0.716 1836 0.922 1837 0.849 1838 1.013 1839 0.925 1840 1.144 1841 0.933 1842 0.931 1843 1.007 1844 0.722 1845 1.205 1846 1.305 1847 1.108 1848 1.098 1849 0.982 1850 0.973 1851 0.944 1852 1.03 1853 0.721 1854 1.001 1855 0.95 1856 0.786 1857 0.898 1858 1.154 1859 1.136 1860 1.283 1861 1.18 1862 0.874 1863 1.183 1864 1.287 1865 0.774 1866 1.151 1867 1.031 1868 1.242 1869 1.124 1870 1.239 1871 1.137 1872 1.105 1873 1.072 1874 1.195 1875 1.276 1876 1.129 1877 1.218 1878 1.25 1879 1.055 1880 1.095 1881 0.791 1882 1.391 1883 0.976 1884 1.016 1885 1.057 1886 0.806 1887 0.966 1888 0.981 1889 1.0 1890 0.785 1891 0.653 1892 0.671 1893 0.76 1894 1.04 1895 0.963 1896 1.014 1897 1.079 1898 1.024 1899 0.843 1900 0.753 1901 1.059 1902 0.716 1903 0.745 1904 0.607 1905 0.819 1906 0.626 1907 0.625 1908 0.666 1909 0.646 1910 0.57 1911 0.474 1912 0.663 1913 0.589 1914 0.942 1915 0.867 1916 0.995 1917 1.0 1918 1.032 1919 1.232 1920 1.06 1921 0.867 1922 1.447 1923 1.297 1924 1.055 1925 1.18 1926 0.706 1927 0.839 1928 0.589 1929 0.809 1930 1.255 1931 1.028 1932 1.067 1933 1.015 1934 0.942 1935 0.78 1936 0.988 1937 1.139 1938 1.079 1939 1.354 1940 0.979 1941 1.428 1942 1.018 1943 1.411 1944 1.508 1945 1.373 1946 1.37 1947 1.664 1948 1.517 1949 1.511 1950 1.53 1951 1.328 1952 1.111 1953 1.223 1954 1.557 1955 1.265 1956 1.069 1957 1.118 1958 1.083 1959 0.911 1960 0.896 1961 0.664 1962 0.732 1963 0.714 1964 0.619 1965 0.712 1966 0.588 1967 0.625 1968 0.667 1969 0.585 1970 0.596 1971 0.537