# europe_swed002 - Muddas 2 (Recollection of Muddas Site A) - 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/3644 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_swed002 - Muddas 2 (Recollection of Muddas Site A) - 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: Muddas 2 (Recollection of Muddas Site A) # Location: # Country: Sweden # Northernmost_Latitude: 66.85 # Southernmost_Latitude: 66.85 # Easternmost_Longitude: 20.37 # Westernmost_Longitude: 20.37 # Elevation: 450 m #-------------------- # Data_Collection # Collection_Name: europe_swed002B # Earliest_Year: 1532 # Most_Recent_Year: 1972 # 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":"6.14823617216","T2":"19.3400805528","M1":"0.0223402836904","M2":"0.272505483861"}} #-------------------- # 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 1532 0.815 1533 0.844 1534 0.651 1535 0.957 1536 0.684 1537 1.377 1538 0.67 1539 0.615 1540 0.548 1541 0.473 1542 0.417 1543 0.405 1544 0.443 1545 0.393 1546 0.419 1547 0.553 1548 0.645 1549 0.703 1550 0.834 1551 0.747 1552 0.691 1553 0.798 1554 0.73 1555 0.855 1556 0.939 1557 0.836 1558 1.054 1559 0.955 1560 1.107 1561 1.024 1562 0.952 1563 0.942 1564 0.954 1565 0.984 1566 0.896 1567 0.842 1568 1.077 1569 0.931 1570 1.133 1571 1.01 1572 1.215 1573 1.224 1574 0.734 1575 1.372 1576 1.116 1577 1.051 1578 1.003 1579 1.175 1580 0.658 1581 0.996 1582 1.178 1583 1.151 1584 1.175 1585 1.29 1586 1.209 1587 1.016 1588 1.114 1589 0.963 1590 0.705 1591 1.048 1592 1.162 1593 0.979 1594 1.26 1595 0.964 1596 1.189 1597 1.111 1598 0.904 1599 1.232 1600 1.269 1601 0.571 1602 0.966 1603 1.062 1604 0.915 1605 0.705 1606 0.916 1607 0.689 1608 0.789 1609 0.592 1610 0.785 1611 0.783 1612 0.748 1613 0.872 1614 0.864 1615 0.738 1616 0.914 1617 1.092 1618 1.035 1619 1.093 1620 0.95 1621 1.338 1622 1.205 1623 1.057 1624 1.092 1625 1.179 1626 1.323 1627 1.138 1628 1.034 1629 1.113 1630 0.892 1631 0.846 1632 0.969 1633 0.801 1634 1.045 1635 0.86 1636 0.986 1637 1.01 1638 1.012 1639 0.947 1640 0.986 1641 0.617 1642 0.501 1643 0.928 1644 0.821 1645 0.677 1646 0.8 1647 0.976 1648 1.069 1649 1.084 1650 1 1651 0.974 1652 1.013 1653 1.079 1654 0.992 1655 1.444 1656 1.079 1657 1.061 1658 1.182 1659 0.688 1660 0.877 1661 0.869 1662 0.752 1663 0.98 1664 0.883 1665 1.035 1666 0.922 1667 0.892 1668 0.916 1669 0.849 1670 0.888 1671 1.046 1672 0.834 1673 0.752 1674 0.778 1675 0.893 1676 0.835 1677 0.465 1678 0.552 1679 0.557 1680 0.307 1681 0.482 1682 0.668 1683 0.807 1684 0.847 1685 0.892 1686 1.156 1687 1.245 1688 0.917 1689 1.137 1690 1.223 1691 1.531 1692 1.308 1693 1.468 1694 1.349 1695 0.897 1696 0.435 1697 1.009 1698 1.159 1699 0.8 1700 0.877 1701 1.008 1702 1.269 1703 1.367 1704 1.027 1705 0.69 1706 0.972 1707 1.138 1708 0.825 1709 0.487 1710 0.815 1711 0.934 1712 0.879 1713 0.959 1714 1.036 1715 1.063 1716 0.918 1717 0.891 1718 0.916 1719 0.88 1720 0.958 1721 0.801 1722 0.894 1723 1.017 1724 0.929 1725 1.058 1726 0.967 1727 1.083 1728 0.797 1729 0.925 1730 1.205 1731 1.003 1732 0.962 1733 0.948 1734 0.74 1735 0.876 1736 1.136 1737 0.85 1738 1.308 1739 1.243 1740 0.836 1741 0.598 1742 0.844 1743 0.931 1744 1.031 1745 0.857 1746 0.925 1747 0.743 1748 1.023 1749 1.039 1750 1.317 1751 1.254 1752 1.429 1753 1.248 1754 1.2 1755 1.524 1756 1.4 1757 1.502 1758 1.162 1759 1.319 1760 1.498 1761 1.375 1762 1.425 1763 1.382 1764 1.28 1765 1.104 1766 1.646 1767 1.234 1768 0.936 1769 0.879 1770 0.845 1771 0.838 1772 1.058 1773 1.047 1774 1.085 1775 1.17 1776 1.219 1777 1.178 1778 1.302 1779 1.195 1780 1.313 1781 1.046 1782 1.201 1783 0.889 1784 1.153 1785 1.283 1786 0.786 1787 0.819 1788 1.072 1789 1.17 1790 0.82 1791 0.92 1792 0.857 1793 0.739 1794 1.004 1795 1.199 1796 1.039 1797 0.958 1798 1.22 1799 1.398 1800 0.785 1801 0.926 1802 1.078 1803 0.712 1804 1.109 1805 1.167 1806 0.529 1807 0.853 1808 0.949 1809 0.913 1810 0.832 1811 1.042 1812 0.728 1813 0.809 1814 0.929 1815 0.894 1816 1.138 1817 1.09 1818 1.268 1819 1.487 1820 1.086 1821 0.575 1822 0.683 1823 1.109 1824 0.867 1825 0.915 1826 1.465 1827 1.298 1828 1.146 1829 1.188 1830 1.002 1831 1.29 1832 1.056 1833 1.042 1834 1.203 1835 0.871 1836 0.97 1837 0.295 1838 0.887 1839 0.885 1840 0.826 1841 0.619 1842 0.717 1843 0.877 1844 0.624 1845 0.982 1846 0.935 1847 0.907 1848 0.805 1849 0.792 1850 0.619 1851 0.866 1852 1.042 1853 0.902 1854 1.297 1855 1.193 1856 0.947 1857 0.591 1858 1.104 1859 1.087 1860 1.017 1861 1.357 1862 0.924 1863 1.004 1864 1.08 1865 0.877 1866 1.015 1867 0.855 1868 0.93 1869 0.836 1870 0.782 1871 0.757 1872 0.736 1873 1.126 1874 0.82 1875 0.78 1876 0.931 1877 0.874 1878 0.896 1879 1.039 1880 0.635 1881 0.527 1882 0.763 1883 0.875 1884 0.867 1885 0.834 1886 0.757 1887 0.717 1888 0.589 1889 0.742 1890 1.02 1891 0.879 1892 0.74 1893 0.6 1894 0.894 1895 0.98 1896 1.154 1897 0.856 1898 1.15 1899 1.079 1900 0.696 1901 1.11 1902 0.881 1903 0.573 1904 0.577 1905 0.749 1906 0.825 1907 0.819 1908 0.961 1909 0.868 1910 0.747 1911 0.686 1912 0.894 1913 0.809 1914 1.048 1915 1.119 1916 1.105 1917 0.871 1918 0.864 1919 0.973 1920 1.01 1921 0.937 1922 1.05 1923 1.063 1924 0.978 1925 1.129 1926 0.962 1927 1.101 1928 0.575 1929 0.696 1930 1.247 1931 1 1932 1.006 1933 1.046 1934 1.429 1935 1.209 1936 1.07 1937 1.318 1938 1.256 1939 1 1940 0.866 1941 1.258 1942 0.89 1943 1.071 1944 1.202 1945 1.243 1946 1.049 1947 1.313 1948 1.155 1949 0.985 1950 1.03 1951 0.918 1952 0.833 1953 1.033 1954 1.304 1955 1.096 1956 0.847 1957 0.914 1958 0.886 1959 1.013 1960 1.227 1961 0.906 1962 0.982 1963 0.723 1964 1.11 1965 0.846 1966 0.873 1967 1.236 1968 1.174 1969 0.996 1970 1.136 1971 1.021 1972 1.258