# europe_finl055 - Vytamoselka - 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/3975 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_finl055 - Vytamoselka - 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: Vytamoselka # Location: # Country: Finland # Northernmost_Latitude: 67.08 # Southernmost_Latitude: 67.08 # Easternmost_Longitude: 27.02 # Westernmost_Longitude: 27.02 # Elevation: 190 m #-------------------- # Data_Collection # Collection_Name: europe_finl055B # Earliest_Year: 1550 # Most_Recent_Year: 2000 # 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":"3.72086469562","T2":"17.4727418374","M1":"0.0216697311534","M2":"0.371047278245"}} #-------------------- # 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 1550 1.222 1551 1.144 1552 1.171 1553 1.027 1554 0.86 1555 1.006 1556 0.905 1557 0.896 1558 0.944 1559 0.982 1560 1.276 1561 1.092 1562 1.103 1563 1.042 1564 1.096 1565 0.96 1566 0.958 1567 0.972 1568 1.004 1569 1.017 1570 1.02 1571 0.881 1572 0.956 1573 1.032 1574 0.899 1575 1.1 1576 1.215 1577 1.104 1578 0.85 1579 1.091 1580 0.8 1581 0.949 1582 0.982 1583 1.074 1584 1.034 1585 1.26 1586 1.144 1587 0.896 1588 1.009 1589 0.832 1590 0.699 1591 0.687 1592 0.715 1593 0.708 1594 0.935 1595 0.786 1596 0.995 1597 0.997 1598 0.923 1599 1.143 1600 0.975 1601 0.551 1602 0.854 1603 0.748 1604 0.75 1605 0.524 1606 0.822 1607 0.61 1608 0.759 1609 0.691 1610 0.701 1611 0.812 1612 0.942 1613 0.834 1614 0.814 1615 0.687 1616 0.744 1617 0.965 1618 0.797 1619 0.894 1620 0.703 1621 1.078 1622 0.742 1623 0.762 1624 0.99 1625 0.948 1626 1.057 1627 0.918 1628 0.973 1629 1.15 1630 0.707 1631 0.916 1632 1.039 1633 0.799 1634 1.085 1635 0.985 1636 1.049 1637 1.233 1638 1.042 1639 1.049 1640 1.14 1641 0.712 1642 0.608 1643 0.991 1644 0.713 1645 0.832 1646 0.926 1647 1.019 1648 1.074 1649 0.942 1650 0.791 1651 0.866 1652 0.843 1653 0.779 1654 0.919 1655 1.226 1656 1.073 1657 1.209 1658 1.199 1659 1.144 1660 1.207 1661 1.035 1662 1.032 1663 1.023 1664 1.068 1665 1.076 1666 0.864 1667 0.959 1668 1.011 1669 0.801 1670 0.863 1671 0.93 1672 0.841 1673 0.849 1674 0.773 1675 0.668 1676 0.726 1677 0.496 1678 0.53 1679 0.442 1680 0.159 1681 0.404 1682 0.483 1683 0.539 1684 0.694 1685 0.722 1686 0.856 1687 0.792 1688 0.744 1689 1.081 1690 1.039 1691 1.151 1692 1.196 1693 1.319 1694 1.42 1695 1.073 1696 0.542 1697 1.055 1698 1.164 1699 1.056 1700 1.152 1701 1.109 1702 1.234 1703 1.244 1704 1.538 1705 1.245 1706 1.321 1707 1.582 1708 1.464 1709 1.06 1710 1.279 1711 1.323 1712 1.192 1713 1.077 1714 1.215 1715 1.517 1716 1.228 1717 1.143 1718 1.394 1719 1.017 1720 1.372 1721 1.141 1722 1.236 1723 1.216 1724 1.215 1725 1.33 1726 1.141 1727 1.341 1728 1.258 1729 1.653 1730 1.632 1731 1.098 1732 1.23 1733 1.105 1734 0.765 1735 0.957 1736 1.246 1737 0.916 1738 1.274 1739 1.21 1740 0.962 1741 0.936 1742 0.983 1743 1.059 1744 1.109 1745 0.956 1746 1.101 1747 0.808 1748 0.932 1749 0.872 1750 0.92 1751 0.894 1752 1.25 1753 1.202 1754 1.463 1755 1.497 1756 1.378 1757 1.385 1758 1.18 1759 1.268 1760 1.406 1761 1.275 1762 1.24 1763 1.26 1764 1.124 1765 1.287 1766 1.305 1767 1.114 1768 1.093 1769 0.924 1770 0.933 1771 0.84 1772 1 1773 0.822 1774 0.914 1775 0.965 1776 0.875 1777 1.024 1778 1.054 1779 0.993 1780 0.963 1781 0.855 1782 0.888 1783 0.827 1784 0.853 1785 1.05 1786 0.726 1787 0.828 1788 0.942 1789 0.981 1790 0.635 1791 0.801 1792 0.742 1793 0.555 1794 0.523 1795 0.531 1796 0.602 1797 0.665 1798 0.698 1799 0.835 1800 0.63 1801 0.705 1802 0.758 1803 0.76 1804 0.935 1805 0.946 1806 0.498 1807 0.958 1808 0.802 1809 0.88 1810 0.849 1811 0.815 1812 0.639 1813 0.501 1814 0.619 1815 0.647 1816 0.828 1817 0.89 1818 1.041 1819 0.992 1820 0.881 1821 0.652 1822 0.891 1823 1.164 1824 1.056 1825 0.966 1826 1.373 1827 1.378 1828 1.193 1829 1.442 1830 1.172 1831 1.461 1832 1.235 1833 1.082 1834 1.182 1835 0.916 1836 1.026 1837 0.483 1838 0.811 1839 0.761 1840 0.844 1841 0.748 1842 0.731 1843 0.82 1844 0.782 1845 0.962 1846 0.888 1847 0.802 1848 0.784 1849 0.98 1850 0.974 1851 1.077 1852 1.229 1853 1.121 1854 1.185 1855 1.146 1856 1.084 1857 0.953 1858 1.128 1859 1.049 1860 0.934 1861 1.107 1862 0.951 1863 0.899 1864 0.947 1865 1.118 1866 1.027 1867 1.09 1868 1.291 1869 1.098 1870 1.201 1871 1.087 1872 1.005 1873 1.029 1874 0.872 1875 0.921 1876 1.01 1877 0.929 1878 0.904 1879 0.809 1880 0.58 1881 0.7 1882 0.888 1883 0.821 1884 0.833 1885 0.929 1886 0.985 1887 0.928 1888 0.702 1889 0.928 1890 1.062 1891 0.866 1892 0.722 1893 0.725 1894 0.736 1895 0.88 1896 1.094 1897 0.9 1898 1.179 1899 1.043 1900 0.79 1901 0.928 1902 0.723 1903 0.569 1904 0.653 1905 0.754 1906 0.743 1907 0.686 1908 0.756 1909 0.816 1910 0.613 1911 0.631 1912 0.821 1913 0.832 1914 1.028 1915 1.047 1916 1.064 1917 0.939 1918 0.84 1919 0.949 1920 1.034 1921 1.276 1922 1.46 1923 1.466 1924 1.308 1925 1.393 1926 1.088 1927 1.143 1928 0.926 1929 0.957 1930 1.282 1931 1.092 1932 1.076 1933 0.907 1934 1.388 1935 1.197 1936 1.008 1937 1.218 1938 1.062 1939 0.972 1940 1.005 1941 1.347 1942 1.02 1943 1.03 1944 1.04 1945 0.939 1946 0.804 1947 1.371 1948 1.263 1949 1.148 1950 1.151 1951 0.938 1952 1.078 1953 1.314 1954 1.375 1955 1.168 1956 0.987 1957 1.269 1958 0.913 1959 1.06 1960 1.254 1961 0.932 1962 0.95 1963 0.763 1964 1.199 1965 0.783 1966 0.918 1967 0.949 1968 1.037 1969 0.724 1970 0.988 1971 0.878 1972 1.004 1973 1.349 1974 0.983 1975 0.991 1976 1.139 1977 1.041 1978 0.99 1979 1.212 1980 0.991 1981 0.84 1982 0.856 1983 0.999 1984 0.894 1985 0.988 1986 0.936 1987 0.9 1988 1.038 1989 1.113 1990 1.072 1991 1.112 1992 0.94 1993 1.008 1994 1.02 1995 0.766 1996 0.816 1997 0.899 1998 1.004 1999 0.915 2000 1.198