# europe_cypr017 - Armiantos - 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/5546 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_cypr017 - Armiantos - 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: Armiantos # Location: # Country: Cyprus # Northernmost_Latitude: 34.92 # Southernmost_Latitude: 34.92 # Easternmost_Longitude: 32.9 # Westernmost_Longitude: 32.9 # Elevation: 1550 m #-------------------- # Data_Collection # Collection_Name: europe_cypr017B # Earliest_Year: 1554 # Most_Recent_Year: 2002 # 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":"4.71315813698","T2":"15.6493254612","M1":"0.0231569718626","M2":"0.463246545033"}} #-------------------- # Species # Species_Name: Austrian pine # Species_Code: PINI #-------------------- # 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 0.856 1555 0.836 1556 0.936 1557 0.855 1558 0.871 1559 1.004 1560 0.916 1561 0.931 1562 0.988 1563 0.943 1564 0.898 1565 0.996 1566 0.89 1567 0.659 1568 0.874 1569 0.858 1570 0.856 1571 0.808 1572 0.938 1573 1.14 1574 1.394 1575 1.074 1576 1.147 1577 1.111 1578 1.456 1579 1.118 1580 1.369 1581 1.216 1582 0.971 1583 1.264 1584 1.164 1585 0.946 1586 0.997 1587 1.103 1588 0.957 1589 1.254 1590 1.419 1591 0.967 1592 0.941 1593 0.92 1594 0.976 1595 0.789 1596 0.85 1597 0.911 1598 0.959 1599 1.099 1600 0.859 1601 0.893 1602 0.867 1603 0.996 1604 1.116 1605 1.147 1606 1.219 1607 0.929 1608 0.912 1609 0.842 1610 1.06 1611 0.999 1612 1.004 1613 0.695 1614 0.718 1615 0.776 1616 0.832 1617 0.916 1618 1.019 1619 1.181 1620 1.086 1621 1.147 1622 1.091 1623 0.818 1624 0.882 1625 0.999 1626 0.932 1627 0.889 1628 0.963 1629 0.998 1630 0.987 1631 1.121 1632 0.968 1633 0.893 1634 0.954 1635 1.012 1636 1.104 1637 0.781 1638 0.844 1639 0.672 1640 0.988 1641 1.104 1642 1.129 1643 1.202 1644 1.085 1645 1.023 1646 1.395 1647 1.215 1648 1.115 1649 1.32 1650 0.89 1651 0.868 1652 0.835 1653 0.781 1654 0.993 1655 1.095 1656 1.033 1657 0.922 1658 0.933 1659 0.962 1660 0.745 1661 1.031 1662 0.879 1663 1.107 1664 0.971 1665 1.417 1666 1.19 1667 1.24 1668 0.988 1669 1.133 1670 0.912 1671 0.978 1672 0.867 1673 0.98 1674 0.864 1675 0.808 1676 0.783 1677 0.862 1678 0.94 1679 0.846 1680 0.781 1681 1.09 1682 1.321 1683 1.385 1684 1.242 1685 0.946 1686 1.173 1687 1.208 1688 0.933 1689 1 1690 0.92 1691 1.217 1692 1.414 1693 1.045 1694 0.99 1695 1.086 1696 1.022 1697 1.126 1698 1.012 1699 0.954 1700 0.988 1701 0.824 1702 0.859 1703 0.885 1704 0.817 1705 0.896 1706 0.796 1707 0.913 1708 0.935 1709 1.17 1710 1.05 1711 0.635 1712 0.78 1713 0.833 1714 0.804 1715 0.629 1716 0.65 1717 0.783 1718 0.731 1719 0.733 1720 0.923 1721 1.129 1722 0.908 1723 0.946 1724 1.103 1725 0.74 1726 0.705 1727 0.852 1728 0.999 1729 0.9 1730 0.908 1731 1.005 1732 1.116 1733 1.12 1734 1.169 1735 1.141 1736 1.158 1737 1.009 1738 0.817 1739 0.912 1740 0.887 1741 0.996 1742 0.837 1743 0.891 1744 0.829 1745 0.841 1746 0.914 1747 0.938 1748 1.123 1749 0.997 1750 0.773 1751 1.061 1752 0.894 1753 1.074 1754 1.223 1755 1.292 1756 1.154 1757 1.147 1758 1.028 1759 0.986 1760 0.953 1761 0.767 1762 0.894 1763 1.004 1764 0.868 1765 0.934 1766 1.106 1767 0.98 1768 0.807 1769 0.903 1770 0.954 1771 1.021 1772 1.056 1773 1.168 1774 1.091 1775 0.94 1776 1.228 1777 1.301 1778 1.05 1779 0.835 1780 1.029 1781 0.712 1782 0.731 1783 0.779 1784 0.774 1785 0.759 1786 0.919 1787 0.763 1788 1.022 1789 0.933 1790 0.823 1791 1.163 1792 1.314 1793 1.18 1794 1.056 1795 1.029 1796 0.895 1797 0.962 1798 0.885 1799 1.038 1800 1.143 1801 1.077 1802 1.015 1803 0.945 1804 0.939 1805 1.045 1806 1.067 1807 1.037 1808 1.081 1809 1.121 1810 1.212 1811 1.436 1812 1.165 1813 1.209 1814 1.066 1815 1.005 1816 0.957 1817 1.044 1818 1.183 1819 1.014 1820 1.059 1821 0.992 1822 0.937 1823 0.911 1824 1.131 1825 1.03 1826 0.882 1827 1.288 1828 1.211 1829 1.294 1830 1.091 1831 1.019 1832 1.163 1833 1.201 1834 1.11 1835 1.213 1836 1.202 1837 1.407 1838 1.558 1839 1.506 1840 1.513 1841 1.662 1842 1.45 1843 1.3 1844 1.231 1845 1.058 1846 1.024 1847 1.069 1848 1.015 1849 0.946 1850 0.983 1851 0.832 1852 0.833 1853 1.089 1854 0.941 1855 0.923 1856 0.831 1857 0.889 1858 0.993 1859 0.929 1860 0.861 1861 0.851 1862 1.001 1863 0.968 1864 0.903 1865 0.996 1866 1.019 1867 1.148 1868 0.836 1869 0.95 1870 0.936 1871 0.919 1872 1.031 1873 1.042 1874 0.768 1875 0.794 1876 0.923 1877 0.902 1878 0.676 1879 0.896 1880 1.001 1881 1.099 1882 0.966 1883 1.293 1884 1.065 1885 0.978 1886 1.138 1887 0.994 1888 1.119 1889 1.202 1890 0.964 1891 1.013 1892 1.008 1893 0.651 1894 0.599 1895 0.887 1896 0.862 1897 1.129 1898 0.865 1899 0.823 1900 1.044 1901 1.067 1902 1.195 1903 1.113 1904 1.094 1905 1.051 1906 0.977 1907 0.935 1908 1.309 1909 0.918 1910 1.135 1911 1.173 1912 1.405 1913 1.328 1914 1.339 1915 1.317 1916 1.095 1917 0.952 1918 1.013 1919 1.235 1920 0.966 1921 1.338 1922 1.226 1923 1.052 1924 1.039 1925 0.849 1926 0.67 1927 0.755 1928 0.632 1929 0.442 1930 0.735 1931 0.665 1932 0.626 1933 0.84 1934 0.857 1935 0.843 1936 0.887 1937 0.844 1938 0.717 1939 0.735 1940 0.799 1941 0.723 1942 0.463 1943 0.604 1944 0.628 1945 0.753 1946 0.859 1947 0.775 1948 0.757 1949 0.37 1950 0.639 1951 0.716 1952 0.824 1953 0.765 1954 0.633 1955 0.598 1956 0.583 1957 0.52 1958 0.694 1959 0.641 1960 0.663 1961 0.523 1962 0.656 1963 0.591 1964 0.586 1965 0.771 1966 0.837 1967 0.818 1968 0.999 1969 1.049 1970 0.994 1971 1.138 1972 1.43 1973 1.188 1974 0.975 1975 1.417 1976 1.133 1977 1.142 1978 1.105 1979 1.126 1980 0.987 1981 0.879 1982 1.159 1983 1.239 1984 0.903 1985 0.903 1986 1.149 1987 0.986 1988 1.09 1989 1.083 1990 0.736 1991 0.839 1992 0.843 1993 0.765 1994 0.798 1995 0.796 1996 0.906 1997 1.125 1998 1.148 1999 1.174 2000 0.893 2001 1.045 2002 1.106