# europe_turk017 - Elmali (Huseyin Kuyusu & Kocaguney) - 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/5129 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk017 - Elmali (Huseyin Kuyusu & Kocaguney) - 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: Elmali (Huseyin Kuyusu & Kocaguney) # Location: # Country: Turkey # Northernmost_Latitude: 36.6 # Southernmost_Latitude: 36.6 # Easternmost_Longitude: 30.02 # Westernmost_Longitude: 30.02 # Elevation: 1853 m #-------------------- # Data_Collection # Collection_Name: europe_turk017B # Earliest_Year: 1449 # Most_Recent_Year: 2000 # 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":"4.58911200433","T2":"17.3059406166","M1":"0.0227670263095","M2":"0.330718068013"}} #-------------------- # Species # Species_Name: cedar of Lebanone # Species_Code: CDLI #-------------------- # 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 1449 1.149 1450 0.947 1451 0.905 1452 0.842 1453 0.852 1454 0.682 1455 0.764 1456 0.854 1457 0.83 1458 0.881 1459 1.048 1460 0.866 1461 0.572 1462 0.726 1463 0.7 1464 0.928 1465 0.874 1466 0.949 1467 0.981 1468 1.208 1469 1.125 1470 0.758 1471 1.009 1472 1.013 1473 1.113 1474 1.035 1475 1.091 1476 1.057 1477 1.023 1478 0.936 1479 0.702 1480 0.849 1481 0.96 1482 1.219 1483 1.2 1484 1.189 1485 1.106 1486 1.078 1487 1.345 1488 0.934 1489 1.033 1490 1.044 1491 1.096 1492 0.953 1493 1.087 1494 1.181 1495 0.755 1496 1.047 1497 1.159 1498 1.33 1499 1.309 1500 1.331 1501 1.063 1502 1.083 1503 0.822 1504 0.798 1505 0.608 1506 0.706 1507 0.75 1508 0.798 1509 0.612 1510 0.686 1511 0.746 1512 0.721 1513 0.693 1514 0.803 1515 0.755 1516 0.748 1517 0.78 1518 0.659 1519 0.926 1520 0.901 1521 0.938 1522 0.719 1523 0.934 1524 0.872 1525 1.145 1526 0.836 1527 0.73 1528 0.44 1529 0.748 1530 0.675 1531 0.878 1532 1.133 1533 1.224 1534 0.988 1535 1.137 1536 1.155 1537 0.755 1538 0.992 1539 1.232 1540 1.012 1541 0.985 1542 0.779 1543 0.791 1544 0.632 1545 1.228 1546 1.02 1547 1.051 1548 0.79 1549 0.753 1550 0.886 1551 1.263 1552 1.042 1553 0.956 1554 0.954 1555 0.929 1556 1.085 1557 0.948 1558 0.977 1559 1.181 1560 1.14 1561 0.988 1562 0.928 1563 0.981 1564 1.167 1565 1.515 1566 1.181 1567 0.922 1568 0.859 1569 1.055 1570 0.878 1571 0.918 1572 0.969 1573 0.903 1574 1.385 1575 1.103 1576 1.141 1577 1.156 1578 1.141 1579 0.904 1580 0.761 1581 0.928 1582 0.97 1583 1.04 1584 1.235 1585 1.111 1586 1.054 1587 1.135 1588 1.245 1589 1.567 1590 1.334 1591 0.919 1592 1.115 1593 1.205 1594 1.132 1595 1.09 1596 0.451 1597 0.915 1598 1.016 1599 1.286 1600 0.872 1601 1.1 1602 1.171 1603 1.167 1604 1.011 1605 1.203 1606 1.332 1607 0.844 1608 1.005 1609 0.955 1610 0.991 1611 1.079 1612 0.778 1613 0.82 1614 0.714 1615 0.975 1616 1.098 1617 0.757 1618 0.923 1619 1.119 1620 0.992 1621 1.049 1622 0.983 1623 1.047 1624 0.875 1625 0.781 1626 0.934 1627 0.81 1628 0.85 1629 1.137 1630 0.988 1631 0.312 1632 0.812 1633 0.878 1634 1.253 1635 0.811 1636 1.037 1637 0.952 1638 1.062 1639 1.048 1640 1.099 1641 1.136 1642 0.946 1643 1.065 1644 0.94 1645 1.137 1646 1.174 1647 0.702 1648 0.865 1649 0.801 1650 0.873 1651 1.109 1652 0.56 1653 0.794 1654 0.84 1655 0.98 1656 0.811 1657 0.95 1658 0.868 1659 1.084 1660 0.725 1661 1.144 1662 1.047 1663 1.194 1664 1.096 1665 1.38 1666 1.12 1667 1.145 1668 0.923 1669 0.961 1670 0.977 1671 0.869 1672 0.889 1673 0.916 1674 0.8 1675 0.751 1676 0.687 1677 0.889 1678 1.089 1679 0.803 1680 0.774 1681 0.959 1682 0.828 1683 0.832 1684 0.745 1685 0.759 1686 1.021 1687 0.795 1688 0.966 1689 1.247 1690 1.095 1691 1.097 1692 1.214 1693 0.875 1694 1.077 1695 0.838 1696 0.531 1697 0.992 1698 1.064 1699 1.044 1700 0.958 1701 0.815 1702 0.913 1703 1.104 1704 1.295 1705 0.677 1706 1.072 1707 0.83 1708 1.032 1709 1.522 1710 1.241 1711 1.122 1712 0.959 1713 0.537 1714 0.353 1715 0.395 1716 0.54 1717 0.681 1718 1.004 1719 0.98 1720 1.098 1721 0.845 1722 0.773 1723 0.938 1724 0.706 1725 0.637 1726 0.779 1727 0.977 1728 1.297 1729 0.991 1730 0.926 1731 1.082 1732 0.982 1733 1.154 1734 1.248 1735 1.061 1736 1.12 1737 1.515 1738 0.873 1739 1.141 1740 1.124 1741 1.052 1742 0.696 1743 1.014 1744 0.907 1745 0.852 1746 0.019 1747 0.544 1748 0.877 1749 0.862 1750 0.95 1751 0.933 1752 0.995 1753 1.102 1754 1.138 1755 1.408 1756 0.815 1757 0.783 1758 0.999 1759 0.654 1760 0.995 1761 0.987 1762 1.093 1763 0.84 1764 0.792 1765 0.995 1766 1.003 1767 1.063 1768 0.779 1769 1.156 1770 1.05 1771 1.345 1772 0.773 1773 0.997 1774 1.283 1775 1.07 1776 1.344 1777 0.952 1778 1.209 1779 0.945 1780 0.882 1781 0.805 1782 0.905 1783 0.971 1784 1.07 1785 1.051 1786 0.231 1787 0.794 1788 0.941 1789 0.913 1790 0.819 1791 1.013 1792 1.014 1793 1.125 1794 0.896 1795 1.5 1796 0.645 1797 0.838 1798 1.049 1799 1.053 1800 0.955 1801 0.901 1802 0.359 1803 0.015 1804 0.23 1805 0.426 1806 0.584 1807 0.749 1808 0.719 1809 1.064 1810 1.202 1811 1.228 1812 1.03 1813 1.058 1814 1.189 1815 1.215 1816 1.431 1817 1.253 1818 1.324 1819 0.989 1820 0.714 1821 1.104 1822 1.114 1823 0.907 1824 1 1825 0.99 1826 0.73 1827 1.18 1828 1.209 1829 0.992 1830 1.221 1831 1.235 1832 1.15 1833 1.354 1834 1.13 1835 1.399 1836 1.521 1837 1.284 1838 1.466 1839 1.448 1840 1.114 1841 1.518 1842 1.04 1843 1.017 1844 1.142 1845 1.083 1846 1.378 1847 0.682 1848 1.319 1849 0.935 1850 1.182 1851 0.909 1852 0.922 1853 0.977 1854 0.918 1855 1.182 1856 0.842 1857 1.12 1858 1.009 1859 1.115 1860 0.981 1861 1.313 1862 0.89 1863 1.08 1864 1.05 1865 1.276 1866 1.715 1867 1.114 1868 0.966 1869 0.96 1870 1.073 1871 0.804 1872 0.985 1873 0.771 1874 0.84 1875 0.706 1876 0.903 1877 0.786 1878 1.06 1879 0.638 1880 1.01 1881 0.761 1882 0.825 1883 0.918 1884 1.129 1885 1.153 1886 1.227 1887 0.758 1888 0.844 1889 0.906 1890 0.424 1891 0.632 1892 0.931 1893 0.862 1894 0.802 1895 0.78 1896 0.977 1897 1.008 1898 0.608 1899 0.751 1900 0.901 1901 1.227 1902 1.097 1903 1.039 1904 1.17 1905 0.953 1906 1.023 1907 0.765 1908 0.763 1909 0.874 1910 1.045 1911 0.811 1912 0.659 1913 0.959 1914 1.177 1915 1.189 1916 0.869 1917 1.133 1918 0.951 1919 0.935 1920 1.25 1921 1.117 1922 0.783 1923 0.997 1924 0.994 1925 1.275 1926 1.015 1927 1.075 1928 0.779 1929 0.753 1930 0.894 1931 1.173 1932 0.54 1933 0.632 1934 0.629 1935 0.638 1936 0.821 1937 0.972 1938 0.821 1939 0.822 1940 1.013 1941 0.914 1942 1 1943 0.849 1944 0.734 1945 0.91 1946 1.044 1947 0.85 1948 1.039 1949 0.675 1950 1.151 1951 0.909 1952 1.028 1953 1.111 1954 1.068 1955 0.988 1956 1.18 1957 0.988 1958 1.005 1959 1.078 1960 1.394 1961 0.82 1962 1.077 1963 1.139 1964 1.017 1965 0.809 1966 1.046 1967 1.165 1968 1.335 1969 1.486 1970 1.184 1971 1.353 1972 1.451 1973 0.986 1974 1.172 1975 1.191 1976 1.145 1977 1.187 1978 1.121 1979 1.462 1980 0.913 1981 1.181 1982 1.167 1983 0.921 1984 0.929 1985 1.064 1986 1.097 1987 1.188 1988 0.774 1989 0.726 1990 0.786 1991 0.859 1992 0.947 1993 0.792 1994 0.868 1995 0.806 1996 0.804 1997 0.939 1998 1.094 1999 0.862 2000 0.947