# europe_pola016 - Wolin - 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/5224 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_pola016 - Wolin - 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: Wolin # Location: # Country: Poland # Northernmost_Latitude: 53.95 # Southernmost_Latitude: 53.95 # Easternmost_Longitude: 14.5 # Westernmost_Longitude: 14.5 # Elevation: 50 m #-------------------- # Data_Collection # Collection_Name: europe_pola016B # Earliest_Year: 1554 # Most_Recent_Year: 1986 # 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":"5.08426496671","T2":"16.6835510692","M1":"0.022641129623","M2":"0.489338226239"}} #-------------------- # Species # Species_Name: English oak # Species_Code: QURO #-------------------- # 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 1554 0.848 1555 0.851 1556 1.194 1557 1.248 1558 0.904 1559 1.018 1560 1.432 1561 1.31 1562 1.751 1563 1.693 1564 1.248 1565 1.41 1566 1.083 1567 1.267 1568 1.22 1569 1.597 1570 0.864 1571 1.21 1572 1.019 1573 1.379 1574 1.305 1575 1.398 1576 1.285 1577 1.287 1578 1.438 1579 1.272 1580 1.05 1581 0.849 1582 1.197 1583 1.088 1584 1.006 1585 1.254 1586 1.323 1587 1.427 1588 1.445 1589 1.675 1590 1.064 1591 1.18 1592 1.206 1593 0.903 1594 1.056 1595 0.948 1596 0.903 1597 0.884 1598 1.026 1599 0.918 1600 1.145 1601 0.869 1602 0.946 1603 0.894 1604 1.417 1605 1.14 1606 1.144 1607 1.282 1608 1.062 1609 1.07 1610 0.918 1611 0.775 1612 0.618 1613 0.803 1614 0.96 1615 0.873 1616 0.765 1617 1.004 1618 1.014 1619 0.993 1620 1.196 1621 1.092 1622 1.169 1623 1.32 1624 0.975 1625 1.1 1626 0.694 1627 1.27 1628 0.948 1629 0.863 1630 0.816 1631 0.903 1632 0.888 1633 0.772 1634 0.914 1635 0.857 1636 0.788 1637 0.827 1638 1.236 1639 1.008 1640 1.213 1641 1.02 1642 1.037 1643 1.011 1644 0.92 1645 0.884 1646 1.006 1647 0.9 1648 0.987 1649 0.999 1650 0.858 1651 0.604 1652 0.536 1653 0.488 1654 0.572 1655 0.642 1656 0.696 1657 0.767 1658 0.854 1659 0.783 1660 1.016 1661 0.853 1662 0.888 1663 0.926 1664 0.959 1665 1.092 1666 0.92 1667 0.826 1668 0.855 1669 0.814 1670 0.648 1671 0.622 1672 0.85 1673 1.27 1674 1.001 1675 1.079 1676 1.11 1677 0.93 1678 1.055 1679 1.037 1680 0.756 1681 0.781 1682 1.04 1683 1.008 1684 0.942 1685 0.739 1686 0.883 1687 1.195 1688 1.036 1689 1.012 1690 0.686 1691 0.68 1692 0.706 1693 0.696 1694 0.969 1695 1.132 1696 1.063 1697 1.173 1698 1.092 1699 0.694 1700 0.799 1701 0.985 1702 0.931 1703 0.89 1704 0.925 1705 0.806 1706 0.77 1707 0.953 1708 1.195 1709 0.861 1710 0.98 1711 1.03 1712 1.174 1713 0.959 1714 0.952 1715 1.072 1716 1.015 1717 0.701 1718 0.785 1719 0.847 1720 0.738 1721 0.825 1722 1.197 1723 1.077 1724 1.009 1725 1.321 1726 0.93 1727 0.994 1728 0.872 1729 1.014 1730 1.049 1731 1.122 1732 1.086 1733 1.086 1734 1.079 1735 1.057 1736 0.92 1737 0.741 1738 0.837 1739 0.89 1740 0.833 1741 0.664 1742 0.747 1743 0.681 1744 0.654 1745 0.607 1746 0.52 1747 0.614 1748 0.675 1749 0.738 1750 0.935 1751 0.813 1752 0.929 1753 0.876 1754 0.929 1755 0.967 1756 0.882 1757 0.842 1758 0.715 1759 0.746 1760 0.77 1761 1.072 1762 0.835 1763 0.925 1764 0.987 1765 0.813 1766 0.733 1767 0.762 1768 0.8 1769 1.05 1770 1.172 1771 1.02 1772 1.028 1773 0.997 1774 0.956 1775 0.956 1776 1.006 1777 0.874 1778 0.957 1779 1.004 1780 1.071 1781 0.837 1782 0.944 1783 0.864 1784 1.061 1785 1.115 1786 0.978 1787 1.045 1788 0.868 1789 1.09 1790 0.673 1791 0.681 1792 0.862 1793 1.008 1794 0.942 1795 0.764 1796 1.006 1797 0.91 1798 0.825 1799 0.97 1800 0.772 1801 1.088 1802 0.632 1803 0.618 1804 0.625 1805 0.807 1806 0.755 1807 0.923 1808 0.825 1809 0.794 1810 0.903 1811 0.867 1812 0.93 1813 0.878 1814 0.834 1815 1 1816 1.141 1817 1.068 1818 1.003 1819 0.788 1820 1.097 1821 0.817 1822 0.943 1823 1.202 1824 1.127 1825 1.273 1826 1.136 1827 1.088 1828 1.14 1829 1.07 1830 1.277 1831 1.232 1832 1.216 1833 1.211 1834 1.391 1835 1.029 1836 0.911 1837 1.041 1838 0.86 1839 1.025 1840 1.006 1841 1.116 1842 1.433 1843 1.155 1844 1.044 1845 1.128 1846 1.579 1847 1.123 1848 1.116 1849 1.256 1850 1.299 1851 1.319 1852 1.221 1853 1.277 1854 1.004 1855 1.236 1856 1.147 1857 1.155 1858 0.918 1859 0.826 1860 1.193 1861 1.317 1862 1.12 1863 0.985 1864 1.283 1865 0.98 1866 1.016 1867 0.954 1868 0.871 1869 1.088 1870 1.016 1871 1.157 1872 0.906 1873 1.229 1874 0.877 1875 1.179 1876 0.808 1877 1.13 1878 0.99 1879 1.237 1880 1.2 1881 0.899 1882 0.853 1883 0.998 1884 1.388 1885 1.353 1886 1.062 1887 0.861 1888 1.041 1889 0.824 1890 1.274 1891 1.095 1892 1.198 1893 1.125 1894 1.104 1895 1.061 1896 0.979 1897 1.022 1898 0.73 1899 0.932 1900 0.927 1901 0.934 1902 0.895 1903 1.167 1904 1.069 1905 1.016 1906 0.969 1907 1.035 1908 1.018 1909 0.774 1910 1.055 1911 0.92 1912 0.892 1913 1.081 1914 0.806 1915 0.856 1916 0.838 1917 0.851 1918 0.847 1919 0.797 1920 1.023 1921 0.807 1922 0.902 1923 0.879 1924 1.113 1925 0.994 1926 1.092 1927 1.12 1928 1.016 1929 0.931 1930 0.905 1931 1.172 1932 1.225 1933 1.086 1934 0.892 1935 1.056 1936 0.915 1937 0.915 1938 1.027 1939 1.016 1940 0.884 1941 0.94 1942 1.101 1943 0.885 1944 0.924 1945 1.165 1946 1.222 1947 0.961 1948 1.035 1949 1.057 1950 1.076 1951 0.962 1952 0.921 1953 0.933 1954 0.969 1955 0.924 1956 0.943 1957 0.993 1958 1.114 1959 0.912 1960 1.1 1961 0.985 1962 1.076 1963 0.85 1964 0.908 1965 0.776 1966 0.999 1967 1.013 1968 1.006 1969 0.966 1970 0.936 1971 0.858 1972 0.926 1973 0.835 1974 0.809 1975 0.801 1976 0.809 1977 0.82 1978 1.031 1979 1.024 1980 1.147 1981 1.082 1982 0.864 1983 0.969 1984 0.891 1985 0.991 1986 1.037