# europe_finl022 - Uusijoki Inari Peuravuono - 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/4014 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl022 - Uusijoki Inari Peuravuono - 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: Uusijoki Inari Peuravuono # Location: # Country: Finland # Northernmost_Latitude: 68.53 # Southernmost_Latitude: 68.53 # Easternmost_Longitude: 28.0 # Westernmost_Longitude: 28.0 # Elevation: 250 m #-------------------- # Data_Collection # Collection_Name: europe_finl022B # Earliest_Year: 1682 # Most_Recent_Year: 1992 # 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":"6.0972509186","T2":"20.5363109625","M1":"0.0227697318762","M2":"0.174233555954"}} #-------------------- # 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 1682 1.046 1683 1.018 1684 1.235 1685 1.291 1686 1.08 1687 1.002 1688 0.993 1689 1.475 1690 1.207 1691 1.167 1692 1.096 1693 1.199 1694 1.193 1695 0.811 1696 0.644 1697 0.707 1698 0.823 1699 0.831 1700 0.931 1701 1.041 1702 1.109 1703 1.15 1704 1.226 1705 1.012 1706 1.159 1707 1.443 1708 1.09 1709 0.692 1710 0.907 1711 1.053 1712 0.972 1713 0.943 1714 0.96 1715 1.16 1716 1.052 1717 1.06 1718 1.059 1719 0.73 1720 0.68 1721 0.734 1722 0.781 1723 0.777 1724 0.802 1725 0.92 1726 0.907 1727 1.043 1728 0.845 1729 1.105 1730 1.115 1731 1.12 1732 1.146 1733 1.181 1734 0.766 1735 0.948 1736 1.126 1737 0.956 1738 1.291 1739 1.386 1740 1.099 1741 0.917 1742 1.121 1743 0.974 1744 1.082 1745 0.927 1746 1.026 1747 0.704 1748 0.83 1749 0.894 1750 0.83 1751 0.776 1752 0.933 1753 0.955 1754 1.056 1755 1.166 1756 1.202 1757 1.271 1758 1.046 1759 1.222 1760 1.322 1761 1.417 1762 1.405 1763 1.362 1764 1.104 1765 1.227 1766 1.106 1767 0.875 1768 0.915 1769 0.705 1770 0.704 1771 0.695 1772 0.708 1773 0.664 1774 0.777 1775 0.736 1776 0.725 1777 0.887 1778 0.839 1779 0.779 1780 0.933 1781 0.747 1782 0.782 1783 0.713 1784 0.705 1785 0.857 1786 0.673 1787 0.778 1788 0.868 1789 0.861 1790 0.536 1791 0.566 1792 0.625 1793 0.536 1794 0.516 1795 0.499 1796 0.601 1797 0.778 1798 0.842 1799 1.088 1800 0.949 1801 0.903 1802 0.942 1803 0.841 1804 1.0 1805 1.074 1806 0.501 1807 0.986 1808 1.118 1809 1.137 1810 1.024 1811 0.949 1812 0.734 1813 0.642 1814 0.755 1815 0.661 1816 0.708 1817 0.824 1818 0.994 1819 0.939 1820 0.808 1821 0.757 1822 0.858 1823 1.329 1824 1.322 1825 1.003 1826 1.818 1827 1.649 1828 1.403 1829 1.867 1830 1.678 1831 1.764 1832 1.501 1833 1.331 1834 1.333 1835 1.101 1836 1.092 1837 0.523 1838 0.911 1839 0.665 1840 0.94 1841 0.751 1842 0.583 1843 0.846 1844 0.906 1845 1.215 1846 0.946 1847 1.073 1848 1.055 1849 1.199 1850 1.162 1851 1.358 1852 1.386 1853 1.178 1854 1.402 1855 1.302 1856 1.153 1857 1.13 1858 1.302 1859 1.119 1860 1.134 1861 1.108 1862 0.964 1863 1.013 1864 1.133 1865 1.09 1866 0.862 1867 0.897 1868 0.845 1869 0.971 1870 1.0 1871 0.884 1872 0.879 1873 1.043 1874 0.782 1875 0.823 1876 1.105 1877 1.081 1878 0.886 1879 0.76 1880 0.712 1881 0.671 1882 0.912 1883 0.972 1884 0.906 1885 1.022 1886 1.112 1887 0.98 1888 0.714 1889 1.003 1890 1.078 1891 0.891 1892 0.578 1893 0.584 1894 0.785 1895 0.835 1896 0.881 1897 0.773 1898 1.088 1899 0.883 1900 0.612 1901 0.915 1902 0.644 1903 0.443 1904 0.587 1905 0.595 1906 0.593 1907 0.533 1908 0.693 1909 0.634 1910 0.439 1911 0.505 1912 0.845 1913 0.881 1914 1.069 1915 1.14 1916 1.191 1917 0.978 1918 1.174 1919 1.282 1920 1.373 1921 1.483 1922 1.686 1923 1.738 1924 1.624 1925 1.801 1926 1.271 1927 1.484 1928 1.06 1929 0.884 1930 1.618 1931 1.332 1932 1.267 1933 1.252 1934 1.483 1935 1.278 1936 1.21 1937 1.642 1938 1.273 1939 1.164 1940 0.958 1941 1.225 1942 1.12 1943 1.031 1944 1.044 1945 1.046 1946 0.874 1947 0.917 1948 0.957 1949 0.906 1950 0.94 1951 0.738 1952 0.769 1953 0.978 1954 0.975 1955 0.862 1956 0.85 1957 0.926 1958 0.865 1959 0.968 1960 1.19 1961 0.811 1962 0.837 1963 0.682 1964 1.026 1965 0.688 1966 0.716 1967 0.83 1968 0.745 1969 0.666 1970 0.868 1971 0.802 1972 0.932 1973 1.05 1974 0.749 1975 0.782 1976 0.893 1977 0.828 1978 0.846 1979 1.034 1980 0.897 1981 0.817 1982 0.968 1983 0.976 1984 0.803 1985 1.054 1986 0.885 1987 0.768 1988 0.879 1989 0.901 1990 0.911 1991 0.91 1992 0.896