# europe_swed007 - Arjeplog (Plot 4011) Lapland - 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/3643 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed007 - Arjeplog (Plot 4011) Lapland - 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: Arjeplog (Plot 4011) Lapland # Location: # Country: Sweden # Northernmost_Latitude: 66.33 # Southernmost_Latitude: 66.33 # Easternmost_Longitude: 18.45 # Westernmost_Longitude: 18.45 # Elevation: 460 m #-------------------- # Data_Collection # Collection_Name: europe_swed007B # Earliest_Year: 1553 # Most_Recent_Year: 1974 # 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":"5.41448603369","T2":"18.9016678261","M1":"0.0221831256937","M2":"0.334900518636"}} #-------------------- # 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 1553 1.719 1554 1.043 1555 1.134 1556 0.956 1557 1.005 1558 1.133 1559 1.014 1560 0.948 1561 1.199 1562 1.162 1563 0.776 1564 0.909 1565 0.697 1566 0.889 1567 0.683 1568 0.791 1569 0.614 1570 0.698 1571 0.686 1572 0.92 1573 0.852 1574 0.766 1575 0.935 1576 0.777 1577 0.816 1578 0.778 1579 0.903 1580 0.792 1581 0.949 1582 1.127 1583 1.06 1584 0.953 1585 1.107 1586 1.165 1587 0.997 1588 0.852 1589 0.874 1590 0.801 1591 0.908 1592 0.912 1593 0.866 1594 1.123 1595 1.13 1596 1.238 1597 1.146 1598 1.1 1599 1.175 1600 1.136 1601 0.734 1602 0.968 1603 1.03 1604 1.062 1605 0.94 1606 1.01 1607 0.945 1608 1.045 1609 0.964 1610 1.145 1611 1.198 1612 1.249 1613 1.344 1614 1.161 1615 1.113 1616 1.077 1617 1.124 1618 1.122 1619 1.028 1620 0.909 1621 1.176 1622 1.062 1623 0.985 1624 1.119 1625 1.113 1626 1.309 1627 1.262 1628 1.313 1629 1.409 1630 1.13 1631 1.15 1632 1.085 1633 0.944 1634 1.186 1635 0.996 1636 1.031 1637 0.907 1638 0.914 1639 0.877 1640 0.886 1641 0.717 1642 0.57 1643 0.826 1644 0.745 1645 0.624 1646 0.758 1647 0.829 1648 0.861 1649 0.94 1650 0.878 1651 0.93 1652 0.984 1653 0.984 1654 1.09 1655 1.403 1656 1.235 1657 1.258 1658 1.332 1659 1.009 1660 1.055 1661 0.933 1662 0.764 1663 0.845 1664 0.89 1665 0.918 1666 0.883 1667 0.92 1668 0.827 1669 0.874 1670 0.888 1671 0.999 1672 0.935 1673 0.731 1674 0.816 1675 0.755 1676 0.656 1677 0.714 1678 0.685 1679 0.625 1680 0.433 1681 0.688 1682 0.758 1683 0.801 1684 0.863 1685 0.851 1686 0.914 1687 1.075 1688 0.977 1689 1.047 1690 1.002 1691 1.102 1692 1.176 1693 1.069 1694 1.145 1695 1.074 1696 0.834 1697 1.099 1698 1.171 1699 0.973 1700 1.011 1701 1.034 1702 1.182 1703 1.282 1704 0.966 1705 0.778 1706 0.896 1707 1.132 1708 1.006 1709 0.785 1710 0.782 1711 0.809 1712 0.867 1713 0.845 1714 0.9 1715 0.838 1716 0.824 1717 0.772 1718 0.825 1719 0.755 1720 0.794 1721 0.75 1722 0.775 1723 0.855 1724 0.884 1725 1.033 1726 1.066 1727 1.2 1728 1.062 1729 1.08 1730 1.238 1731 1.067 1732 1.044 1733 0.986 1734 0.851 1735 0.758 1736 1.042 1737 1.023 1738 1.295 1739 1.226 1740 0.9 1741 0.663 1742 0.821 1743 0.978 1744 1.072 1745 0.944 1746 0.868 1747 0.822 1748 0.937 1749 0.918 1750 0.979 1751 1.117 1752 1.387 1753 1.316 1754 1.279 1755 1.484 1756 1.474 1757 1.296 1758 1.239 1759 1.396 1760 1.516 1761 1.377 1762 1.476 1763 1.375 1764 1.136 1765 1.064 1766 1.306 1767 1.062 1768 0.869 1769 0.832 1770 0.825 1771 0.811 1772 0.876 1773 0.79 1774 0.856 1775 0.969 1776 0.935 1777 0.853 1778 0.931 1779 0.977 1780 0.91 1781 0.794 1782 0.948 1783 0.784 1784 0.93 1785 1.031 1786 0.788 1787 0.778 1788 1.026 1789 1.024 1790 0.75 1791 0.781 1792 0.801 1793 0.755 1794 0.826 1795 0.921 1796 0.828 1797 0.876 1798 0.926 1799 1.127 1800 0.761 1801 0.928 1802 0.949 1803 0.739 1804 0.991 1805 1.117 1806 0.726 1807 0.851 1808 0.896 1809 0.787 1810 0.776 1811 0.966 1812 0.808 1813 0.889 1814 0.969 1815 0.866 1816 0.91 1817 1.08 1818 1.093 1819 1.287 1820 0.988 1821 0.698 1822 0.764 1823 1.027 1824 0.983 1825 1.01 1826 1.345 1827 1.443 1828 1.424 1829 1.349 1830 1.231 1831 1.226 1832 0.877 1833 0.965 1834 1.039 1835 0.846 1836 0.929 1837 0.646 1838 0.922 1839 0.985 1840 0.908 1841 0.789 1842 0.758 1843 0.93 1844 0.724 1845 1.023 1846 1.034 1847 0.892 1848 0.802 1849 0.782 1850 0.717 1851 0.941 1852 1.062 1853 0.971 1854 1.133 1855 0.984 1856 0.832 1857 0.653 1858 0.915 1859 0.953 1860 0.833 1861 0.895 1862 0.762 1863 0.907 1864 0.929 1865 0.755 1866 0.952 1867 0.946 1868 0.961 1869 0.754 1870 0.8 1871 0.809 1872 0.862 1873 1.131 1874 0.857 1875 0.916 1876 1.012 1877 0.989 1878 0.869 1879 0.936 1880 0.718 1881 0.613 1882 0.826 1883 0.911 1884 0.976 1885 0.712 1886 0.589 1887 0.634 1888 0.622 1889 0.854 1890 0.984 1891 1.028 1892 0.961 1893 0.921 1894 1.07 1895 1.058 1896 1.091 1897 0.906 1898 1.092 1899 1.148 1900 0.958 1901 1.208 1902 0.87 1903 0.759 1904 0.774 1905 0.958 1906 1.006 1907 1.021 1908 1.164 1909 1.055 1910 0.964 1911 0.942 1912 1.089 1913 1.062 1914 1.213 1915 1.225 1916 1.258 1917 1.005 1918 1.06 1919 1.097 1920 1.367 1921 1.201 1922 1.229 1923 1.255 1924 1.32 1925 1.634 1926 1.176 1927 1.138 1928 0.769 1929 0.957 1930 1.404 1931 1.12 1932 1.228 1933 1.027 1934 1.435 1935 1.154 1936 1.081 1937 1.402 1938 1.336 1939 0.986 1940 1.005 1941 1.371 1942 1.1 1943 1.114 1944 1.16 1945 1.268 1946 1.211 1947 1.337 1948 1.243 1949 1.161 1950 1.101 1951 0.911 1952 0.891 1953 1.172 1954 1.314 1955 1.088 1956 0.842 1957 1.013 1958 0.976 1959 1.005 1960 1.1 1961 0.811 1962 0.983 1963 0.82 1964 1.004 1965 0.83 1966 0.886 1967 1.091 1968 1.044 1969 0.889 1970 1.001 1971 1.03 1972 1.108 1973 1.214 1974 0.941