# europe_finl066 - Pyhan Hakin 2 - 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/2845 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl066 - Pyhan Hakin 2 - 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: Pyhan Hakin 2 # Location: # Country: Finland # Northernmost_Latitude: 62.85 # Southernmost_Latitude: 62.85 # Easternmost_Longitude: 25.48 # Westernmost_Longitude: 25.48 # Elevation: 180 m #-------------------- # Data_Collection # Collection_Name: europe_finl066B # Earliest_Year: 1627 # Most_Recent_Year: 1983 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.84374484286","T2":"16.5327036007","M1":"0.0223975692156","M2":"0.43785993997"}} #-------------------- # 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 1627 0.882 1628 0.856 1629 0.926 1630 0.779 1631 0.876 1632 0.768 1633 0.785 1634 0.833 1635 0.614 1636 0.742 1637 0.625 1638 0.596 1639 0.676 1640 0.738 1641 0.797 1642 0.898 1643 0.959 1644 0.887 1645 1.077 1646 1.077 1647 1.195 1648 1.272 1649 1.128 1650 0.906 1651 1.01 1652 0.999 1653 1.194 1654 1.292 1655 1.356 1656 1.172 1657 1.18 1658 1.251 1659 1.161 1660 1.174 1661 1.115 1662 1.07 1663 1.076 1664 1.081 1665 1.079 1666 1.098 1667 1.026 1668 1.074 1669 0.836 1670 0.88 1671 0.791 1672 0.802 1673 0.968 1674 0.895 1675 0.805 1676 1.047 1677 1.029 1678 1.21 1679 1.124 1680 1.018 1681 1.242 1682 1.159 1683 1.073 1684 1.008 1685 0.965 1686 1.174 1687 1.277 1688 1.228 1689 1.263 1690 1.149 1691 1.247 1692 1.234 1693 1.341 1694 1.391 1695 0.995 1696 0.728 1697 0.91 1698 0.943 1699 0.817 1700 1.185 1701 1.237 1702 1.269 1703 1.068 1704 1.306 1705 1.183 1706 1.205 1707 1.094 1708 0.702 1709 0.524 1710 0.711 1711 0.885 1712 0.781 1713 0.779 1714 0.95 1715 0.882 1716 0.865 1717 0.745 1718 0.635 1719 0.584 1720 0.76 1721 0.786 1722 0.876 1723 1.051 1724 1.025 1725 1.009 1726 0.741 1727 0.827 1728 0.922 1729 1.118 1730 1.054 1731 0.909 1732 1.048 1733 1.038 1734 0.91 1735 0.774 1736 0.842 1737 0.933 1738 1.117 1739 1.047 1740 0.835 1741 0.545 1742 0.645 1743 0.777 1744 0.772 1745 0.719 1746 0.897 1747 0.824 1748 1.049 1749 0.782 1750 0.71 1751 0.797 1752 1.162 1753 1.143 1754 1.222 1755 1.106 1756 1.034 1757 1.134 1758 0.961 1759 1.008 1760 1.061 1761 1.017 1762 1.074 1763 1.161 1764 1.267 1765 1.129 1766 1.17 1767 0.739 1768 0.735 1769 0.729 1770 0.764 1771 0.747 1772 0.754 1773 0.901 1774 0.934 1775 0.972 1776 1.192 1777 1.206 1778 1.359 1779 1.111 1780 1.113 1781 1.022 1782 1.022 1783 1.054 1784 1.108 1785 1.066 1786 0.813 1787 0.758 1788 0.821 1789 0.793 1790 0.609 1791 0.743 1792 0.85 1793 1.14 1794 1.117 1795 0.945 1796 0.992 1797 1.134 1798 1.245 1799 1.32 1800 1.118 1801 1.105 1802 1.115 1803 0.89 1804 0.979 1805 0.976 1806 0.682 1807 0.928 1808 0.904 1809 1.008 1810 0.889 1811 0.916 1812 0.93 1813 0.871 1814 0.977 1815 0.91 1816 1.135 1817 1.228 1818 1.113 1819 1.26 1820 0.982 1821 0.991 1822 1.134 1823 1.02 1824 0.942 1825 1.06 1826 1.099 1827 0.787 1828 0.799 1829 1.032 1830 1.095 1831 1.096 1832 0.877 1833 1.069 1834 1.296 1835 0.983 1836 0.744 1837 0.774 1838 0.916 1839 1.035 1840 1.027 1841 0.922 1842 0.943 1843 0.936 1844 1.011 1845 0.958 1846 0.869 1847 0.741 1848 0.917 1849 1.075 1850 0.955 1851 1.033 1852 1.054 1853 0.953 1854 1.145 1855 1.079 1856 1.094 1857 1.019 1858 1.194 1859 0.833 1860 0.867 1861 1.085 1862 0.804 1863 0.94 1864 1.047 1865 1.05 1866 1.107 1867 0.949 1868 1.037 1869 1.195 1870 1.338 1871 1.218 1872 1.359 1873 1.378 1874 1.211 1875 1.167 1876 1.155 1877 1.222 1878 1.259 1879 1.202 1880 0.94 1881 0.764 1882 1.147 1883 1.027 1884 0.923 1885 1.122 1886 1.106 1887 1.063 1888 0.828 1889 0.989 1890 1.1 1891 0.986 1892 0.853 1893 0.934 1894 0.985 1895 1.052 1896 1.174 1897 1.298 1898 1.334 1899 0.903 1900 1.018 1901 1.436 1902 0.907 1903 0.896 1904 0.932 1905 1.044 1906 1.054 1907 1.061 1908 0.993 1909 1.263 1910 1.14 1911 1.071 1912 1.184 1913 1.222 1914 1.141 1915 1.254 1916 1.344 1917 1.336 1918 1.078 1919 1.191 1920 1.151 1921 1.051 1922 1.336 1923 1.162 1924 1.119 1925 0.903 1926 0.71 1927 0.95 1928 0.728 1929 0.898 1930 1.092 1931 0.749 1932 0.7 1933 0.795 1934 0.768 1935 0.808 1936 0.713 1937 0.739 1938 0.835 1939 0.841 1940 0.802 1941 0.874 1942 0.705 1943 0.977 1944 0.955 1945 0.92 1946 0.902 1947 1.046 1948 0.883 1949 0.968 1950 0.995 1951 0.924 1952 0.822 1953 1.079 1954 1.235 1955 0.994 1956 0.8 1957 0.891 1958 0.976 1959 1.027 1960 0.982 1961 0.861 1962 0.816 1963 0.759 1964 0.76 1965 0.726 1966 0.808 1967 1.009 1968 0.891 1969 0.781 1970 0.901 1971 0.854 1972 1.076 1973 0.976 1974 0.917 1975 0.91 1976 0.815 1977 0.744 1978 0.85 1979 1.036 1980 0.842 1981 0.886 1982 0.795 1983 0.743