# europe_swed326 - Central Scandinavian Mountains - 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/6132 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed326 - Central Scandinavian Mountains - 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: Central Scandinavian Mountains # Location: # Country: Sweden # Northernmost_Latitude: 63.12 # Southernmost_Latitude: 63.12 # Easternmost_Longitude: 13.33 # Westernmost_Longitude: 13.33 # Elevation: 700 m #-------------------- # Data_Collection # Collection_Name: europe_swed326B # Earliest_Year: 1663 # Most_Recent_Year: 1998 # 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":"3.75370536773","T2":"16.7883584243","M1":"0.0227637119546","M2":"0.442885918237"}} #-------------------- # 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 1663 1.306 1664 1.325 1665 1.003 1666 1.073 1667 1.039 1668 1.049 1669 0.983 1670 1.064 1671 1.022 1672 1.05 1673 0.888 1674 0.799 1675 0.911 1676 0.884 1677 0.909 1678 1.073 1679 1.24 1680 0.903 1681 1.092 1682 1.364 1683 1.4 1684 1.311 1685 1.224 1686 1.235 1687 1.279 1688 0.894 1689 1.294 1690 1.273 1691 1.353 1692 1.285 1693 1.333 1694 1.504 1695 1.103 1696 0.745 1697 1.364 1698 1.117 1699 1.05 1700 1.138 1701 1.187 1702 1.218 1703 1.55 1704 1.175 1705 0.768 1706 1.007 1707 1.138 1708 0.748 1709 0.453 1710 0.737 1711 0.747 1712 0.887 1713 0.807 1714 0.889 1715 0.958 1716 1.035 1717 0.874 1718 0.887 1719 0.995 1720 1.185 1721 0.895 1722 0.813 1723 0.935 1724 0.998 1725 1.0 1726 1.078 1727 1.074 1728 0.984 1729 0.909 1730 1.144 1731 0.884 1732 1.12 1733 0.961 1734 1.029 1735 1.043 1736 1.219 1737 0.891 1738 1.146 1739 1.087 1740 0.734 1741 0.473 1742 0.644 1743 0.751 1744 0.884 1745 0.794 1746 0.873 1747 0.803 1748 1.174 1749 0.963 1750 1.213 1751 0.999 1752 1.463 1753 1.412 1754 1.229 1755 1.471 1756 1.106 1757 1.282 1758 1.033 1759 1.219 1760 1.185 1761 1.255 1762 1.403 1763 1.432 1764 1.24 1765 0.869 1766 1.279 1767 1.08 1768 0.87 1769 0.834 1770 0.878 1771 0.916 1772 0.957 1773 0.91 1774 1.098 1775 1.123 1776 1.23 1777 1.014 1778 1.173 1779 0.972 1780 1.201 1781 0.936 1782 1.089 1783 0.823 1784 0.533 1785 0.455 1786 0.286 1787 0.458 1788 0.596 1789 0.585 1790 0.46 1791 0.495 1792 0.587 1793 0.527 1794 0.641 1795 0.632 1796 0.6 1797 0.79 1798 1.107 1799 1.151 1800 0.599 1801 0.906 1802 0.903 1803 0.582 1804 0.975 1805 1.012 1806 0.528 1807 0.796 1808 0.875 1809 0.987 1810 0.838 1811 0.93 1812 0.773 1813 0.68 1814 0.807 1815 0.753 1816 1.043 1817 0.886 1818 0.957 1819 1.18 1820 0.943 1821 0.443 1822 0.831 1823 1.203 1824 1.035 1825 1.0 1826 1.607 1827 1.453 1828 1.611 1829 1.395 1830 1.131 1831 1.385 1832 0.921 1833 1.262 1834 1.387 1835 0.981 1836 1.088 1837 0.757 1838 1.016 1839 0.751 1840 0.576 1841 0.542 1842 0.798 1843 0.966 1844 0.469 1845 0.898 1846 0.94 1847 1.177 1848 0.838 1849 0.534 1850 0.627 1851 0.843 1852 1.039 1853 0.747 1854 1.281 1855 1.249 1856 0.926 1857 0.821 1858 1.345 1859 1.273 1860 1.229 1861 1.38 1862 1.245 1863 1.044 1864 0.919 1865 0.437 1866 0.888 1867 0.839 1868 0.953 1869 0.728 1870 0.726 1871 0.816 1872 0.889 1873 0.928 1874 0.704 1875 0.829 1876 0.891 1877 0.982 1878 0.773 1879 0.997 1880 0.916 1881 0.689 1882 1.006 1883 1.165 1884 1.153 1885 1.042 1886 0.739 1887 0.964 1888 0.764 1889 0.896 1890 0.851 1891 0.944 1892 0.857 1893 1.042 1894 1.068 1895 1.031 1896 1.046 1897 1.128 1898 1.134 1899 1.052 1900 0.87 1901 1.096 1902 0.875 1903 0.552 1904 0.637 1905 0.757 1906 0.833 1907 0.886 1908 0.958 1909 0.822 1910 0.937 1911 0.83 1912 0.931 1913 0.797 1914 1.15 1915 1.024 1916 0.924 1917 1.007 1918 1.232 1919 1.071 1920 0.941 1921 0.752 1922 1.2 1923 0.963 1924 0.838 1925 1.253 1926 0.896 1927 1.01 1928 0.55 1929 0.894 1930 1.136 1931 1.122 1932 0.871 1933 1.103 1934 1.288 1935 1.053 1936 0.986 1937 1.223 1938 1.153 1939 1.177 1940 1.046 1941 1.391 1942 0.895 1943 1.259 1944 1.384 1945 1.254 1946 1.331 1947 1.535 1948 1.636 1949 1.63 1950 1.69 1951 1.52 1952 1.385 1953 1.493 1954 1.466 1955 1.249 1956 1.132 1957 1.079 1958 0.949 1959 1.206 1960 1.105 1961 0.823 1962 0.856 1963 0.948 1964 1.017 1965 0.965 1966 0.958 1967 1.107 1968 1.044 1969 0.957 1970 1.03 1971 0.861 1972 1.112 1973 1.169 1974 0.892 1975 1.17 1976 1.268 1977 0.931 1978 1.071 1979 0.902 1980 0.943 1981 0.695 1982 0.865 1983 1.033 1984 0.787 1985 1.111 1986 1.014 1987 0.789 1988 0.995 1989 0.984 1990 0.838 1991 0.992 1992 0.788 1993 0.541 1994 0.873 1995 0.695 1996 0.549 1997 0.872 1998 0.489