# europe_turk005 - Antalya Elmali Isletmesi - 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/3797 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_turk005 - Antalya Elmali Isletmesi - 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: Antalya Elmali Isletmesi # Location: # Country: Turkey # Northernmost_Latitude: 36.67 # Southernmost_Latitude: 36.67 # Easternmost_Longitude: 29.92 # Westernmost_Longitude: 29.92 # Elevation: 1800 m #-------------------- # Data_Collection # Collection_Name: europe_turk005B # Earliest_Year: 1370 # Most_Recent_Year: 1988 # 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":"4.28473398595","T2":"16.608306082","M1":"0.0228850399635","M2":"0.384294577208"}} #-------------------- # 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 1370 0.649 1371 1.151 1372 0.862 1373 1.152 1374 1.463 1375 0.493 1376 0.529 1377 0.627 1378 0.621 1379 0.349 1380 0.248 1381 0.17 1382 0.16 1383 0.194 1384 0.292 1385 0.539 1386 0.337 1387 0.595 1388 1.062 1389 1.172 1390 1.449 1391 1.324 1392 1.081 1393 1.684 1394 1.186 1395 0.537 1396 0.321 1397 0.594 1398 0.376 1399 0.344 1400 0.268 1401 0.459 1402 0.633 1403 0.762 1404 0.915 1405 0.736 1406 0.416 1407 0.405 1408 0.401 1409 0.336 1410 0.284 1411 0.463 1412 0.621 1413 0.492 1414 0.416 1415 0.307 1416 0.596 1417 0.801 1418 0.83 1419 0.868 1420 0.514 1421 0.804 1422 0.955 1423 0.887 1424 0.478 1425 0.469 1426 0.321 1427 0.574 1428 0.735 1429 0.585 1430 0.538 1431 0.987 1432 0.966 1433 0.872 1434 0.977 1435 0.759 1436 0.579 1437 0.417 1438 0.628 1439 0.543 1440 0.754 1441 0.774 1442 0.928 1443 0.949 1444 0.907 1445 0.671 1446 1.126 1447 0.759 1448 0.915 1449 0.441 1450 0.869 1451 0.889 1452 0.949 1453 0.462 1454 0.277 1455 0.239 1456 0.19 1457 0.307 1458 0.396 1459 0.878 1460 1.184 1461 1.165 1462 1.275 1463 1 1464 1.278 1465 1.2 1466 1.273 1467 1.491 1468 1.274 1469 1.196 1470 1.636 1471 1.838 1472 1.66 1473 1.732 1474 1.644 1475 1.636 1476 1.561 1477 1.696 1478 1.447 1479 1.423 1480 1.343 1481 1.304 1482 1.847 1483 1.063 1484 1.682 1485 1.241 1486 1.511 1487 1.196 1488 0.956 1489 1.028 1490 0.983 1491 1.146 1492 0.224 1493 0.737 1494 1.573 1495 1.445 1496 1.515 1497 1.557 1498 2.372 1499 1.787 1500 1.777 1501 1.559 1502 1.231 1503 1.6 1504 1.581 1505 1.5 1506 1.423 1507 1.745 1508 1.091 1509 1.185 1510 1.105 1511 1.101 1512 1.249 1513 1.273 1514 1.551 1515 1.442 1516 1.495 1517 1.179 1518 1.02 1519 1.505 1520 1.362 1521 1.55 1522 1.309 1523 1.482 1524 1.337 1525 1.626 1526 1.351 1527 1.052 1528 0.997 1529 1.161 1530 1.052 1531 1.197 1532 1.444 1533 1.49 1534 1.201 1535 1.399 1536 1.324 1537 0.923 1538 1.008 1539 1.298 1540 0.867 1541 0.959 1542 0.746 1543 0.867 1544 1.02 1545 1.223 1546 0.978 1547 1.171 1548 0.927 1549 0.944 1550 1.1 1551 1.382 1552 1.001 1553 1.362 1554 1.146 1555 1.128 1556 1.14 1557 0.796 1558 0.993 1559 1.381 1560 1.362 1561 1.106 1562 0.862 1563 0.999 1564 1.193 1565 1.398 1566 1.039 1567 0.876 1568 0.855 1569 0.98 1570 0.849 1571 0.921 1572 0.953 1573 0.77 1574 1.314 1575 1.068 1576 0.974 1577 1.145 1578 1.143 1579 0.888 1580 0.667 1581 0.868 1582 0.878 1583 0.868 1584 1.095 1585 1.109 1586 0.966 1587 0.968 1588 1.044 1589 1.378 1590 1.309 1591 0.841 1592 1.05 1593 1.223 1594 1.12 1595 0.991 1596 0.464 1597 0.96 1598 0.95 1599 1.25 1600 1.017 1601 1.129 1602 1.227 1603 1.153 1604 0.97 1605 0.963 1606 1.279 1607 0.727 1608 0.956 1609 0.895 1610 0.943 1611 0.957 1612 0.74 1613 0.808 1614 0.618 1615 0.952 1616 1.075 1617 0.711 1618 0.927 1619 1.097 1620 1.171 1621 1.177 1622 1.246 1623 1.263 1624 0.991 1625 0.829 1626 1.032 1627 0.804 1628 0.802 1629 1.12 1630 1.057 1631 0.578 1632 1.088 1633 1.041 1634 1.329 1635 1.016 1636 1.16 1637 1.017 1638 1.074 1639 0.965 1640 1.024 1641 1.151 1642 1.158 1643 1.212 1644 1.014 1645 1.09 1646 1.24 1647 0.838 1648 1.105 1649 0.932 1650 0.975 1651 1.048 1652 0.633 1653 0.987 1654 0.875 1655 0.998 1656 0.942 1657 1.072 1658 0.97 1659 1.109 1660 0.691 1661 1.121 1662 1.051 1663 1.156 1664 1.166 1665 1.449 1666 1.217 1667 1.038 1668 0.94 1669 0.868 1670 0.627 1671 0.605 1672 0.51 1673 0.543 1674 0.408 1675 0.348 1676 0.392 1677 0.536 1678 0.732 1679 0.563 1680 0.631 1681 0.903 1682 0.86 1683 0.854 1684 0.874 1685 0.915 1686 1.027 1687 0.873 1688 0.88 1689 1.077 1690 0.944 1691 0.998 1692 1.117 1693 0.866 1694 0.976 1695 1.035 1696 0.451 1697 0.78 1698 0.827 1699 0.766 1700 0.687 1701 0.613 1702 0.697 1703 0.935 1704 1.047 1705 0.691 1706 1.035 1707 0.961 1708 1.049 1709 1.403 1710 1.022 1711 0.855 1712 0.686 1713 0.456 1714 0.335 1715 0.422 1716 0.493 1717 0.565 1718 0.623 1719 0.813 1720 0.964 1721 0.863 1722 0.714 1723 0.776 1724 0.589 1725 0.528 1726 0.542 1727 0.816 1728 1.048 1729 0.936 1730 0.955 1731 1.135 1732 0.996 1733 1.161 1734 1.217 1735 1.066 1736 0.968 1737 1.363 1738 0.883 1739 1.076 1740 1.325 1741 1.16 1742 0.86 1743 1.089 1744 1.134 1745 1.106 1746 0.247 1747 0.803 1748 1.162 1749 1.107 1750 1.204 1751 1.298 1752 1.215 1753 1.386 1754 1.442 1755 1.658 1756 1.104 1757 1.038 1758 1.26 1759 0.915 1760 1.133 1761 1.258 1762 1.3 1763 1.026 1764 0.88 1765 1.013 1766 1.067 1767 1.188 1768 1.021 1769 1.141 1770 1.128 1771 1.28 1772 0.787 1773 0.906 1774 1.128 1775 0.828 1776 1.25 1777 0.899 1778 1.296 1779 1.076 1780 1.061 1781 0.857 1782 1.033 1783 1.083 1784 1.105 1785 1.219 1786 0.44 1787 1.095 1788 1.191 1789 1.255 1790 0.836 1791 1.119 1792 1.201 1793 1.342 1794 1.087 1795 1.675 1796 0.835 1797 0.93 1798 1.161 1799 1.126 1800 0.92 1801 0.864 1802 0.576 1803 0.48 1804 0.563 1805 0.7 1806 0.769 1807 0.932 1808 0.911 1809 1.157 1810 1.063 1811 1.231 1812 0.954 1813 1.041 1814 1.189 1815 1.161 1816 1.33 1817 1.198 1818 1.12 1819 0.907 1820 0.57 1821 1.108 1822 1.147 1823 0.894 1824 0.915 1825 1.026 1826 0.768 1827 1.256 1828 1.076 1829 0.965 1830 0.964 1831 1.141 1832 1.078 1833 1.306 1834 0.977 1835 1.152 1836 1.095 1837 1.006 1838 1.204 1839 1.184 1840 0.858 1841 1.298 1842 0.952 1843 0.718 1844 0.804 1845 0.812 1846 1.131 1847 0.517 1848 1.043 1849 0.6 1850 0.793 1851 0.368 1852 0.525 1853 0.607 1854 0.624 1855 1.055 1856 0.555 1857 0.766 1858 0.725 1859 0.865 1860 0.805 1861 1.144 1862 0.811 1863 0.935 1864 0.793 1865 0.734 1866 1.091 1867 0.814 1868 0.807 1869 0.706 1870 0.84 1871 0.671 1872 0.914 1873 0.629 1874 0.616 1875 0.699 1876 0.502 1877 0.608 1878 0.952 1879 0.7 1880 1.02 1881 0.739 1882 0.756 1883 0.839 1884 1.05 1885 0.999 1886 0.783 1887 0.527 1888 0.915 1889 1.018 1890 0.566 1891 0.778 1892 0.864 1893 0.641 1894 0.729 1895 0.759 1896 1.008 1897 1.14 1898 0.604 1899 0.701 1900 0.954 1901 1.284 1902 1.215 1903 1.09 1904 1.161 1905 1.042 1906 1.332 1907 1.143 1908 0.996 1909 1.042 1910 1.216 1911 0.915 1912 0.462 1913 0.953 1914 1.35 1915 1.34 1916 0.657 1917 1.066 1918 0.884 1919 0.91 1920 1.349 1921 1.219 1922 1.063 1923 1.062 1924 1.062 1925 1.218 1926 0.874 1927 0.967 1928 0.829 1929 0.725 1930 1.204 1931 1.403 1932 0.604 1933 0.677 1934 0.797 1935 0.601 1936 0.903 1937 0.921 1938 0.817 1939 1.047 1940 1.369 1941 1.123 1942 1.088 1943 0.873 1944 0.666 1945 0.802 1946 1.071 1947 0.962 1948 1.042 1949 0.799 1950 1.407 1951 1.124 1952 1.1 1953 1.156 1954 1.336 1955 1.156 1956 1.126 1957 1.09 1958 1.229 1959 1.164 1960 1.592 1961 0.964 1962 1.155 1963 1.152 1964 1.027 1965 0.665 1966 0.71 1967 0.656 1968 0.946 1969 1.103 1970 0.886 1971 1.11 1972 1.38 1973 0.855 1974 0.998 1975 0.928 1976 1.089 1977 1.196 1978 1.162 1979 1.435 1980 0.967 1981 0.824 1982 1.107 1983 0.872 1984 0.814 1985 0.861 1986 1.022 1987 1.191 1988 0.957