# asia_leba004 - Besheri - 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/5551 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_leba004 - Besheri - 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: Besheri # Location: # Country: Lebanon # Northernmost_Latitude: 34.23 # Southernmost_Latitude: 34.23 # Easternmost_Longitude: 36.03 # Westernmost_Longitude: 36.03 # Elevation: 1900 m #-------------------- # Data_Collection # Collection_Name: asia_leba004B # Earliest_Year: 1382 # 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":"3.70724962458","T2":"16.4821755893","M1":"0.0227777320943","M2":"0.47436370919"}} #-------------------- # 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 1382 0.78 1383 0.666 1384 0.616 1385 0.728 1386 0.761 1387 0.66 1388 0.674 1389 0.628 1390 0.694 1391 0.611 1392 0.612 1393 0.668 1394 0.767 1395 1.416 1396 1.014 1397 0.673 1398 0.69 1399 0.514 1400 0.893 1401 1.314 1402 0.648 1403 0.56 1404 0.705 1405 0.99 1406 0.507 1407 0.97 1408 1.636 1409 1.622 1410 1.28 1411 0.866 1412 0.962 1413 0.954 1414 0.954 1415 1.56 1416 1.414 1417 1.471 1418 0.839 1419 0.748 1420 1.438 1421 2.041 1422 1.722 1423 1.328 1424 0.931 1425 0.791 1426 0.608 1427 0.519 1428 0.719 1429 1.812 1430 0.805 1431 0.908 1432 0.936 1433 1.162 1434 0.939 1435 1.079 1436 0.642 1437 0.794 1438 0.94 1439 0.608 1440 0.922 1441 1.128 1442 1.15 1443 1.054 1444 1.222 1445 0.986 1446 1.215 1447 0.763 1448 0.539 1449 0.724 1450 0.45 1451 0.485 1452 0.577 1453 0.532 1454 0.716 1455 0.809 1456 0.993 1457 0.905 1458 1.006 1459 0.947 1460 1.079 1461 0.884 1462 0.975 1463 1.046 1464 1.184 1465 0.793 1466 0.328 1467 0.666 1468 1.039 1469 1.049 1470 0.858 1471 1.039 1472 1.386 1473 1.092 1474 1.134 1475 1.664 1476 1.484 1477 1.026 1478 0.888 1479 0.984 1480 0.857 1481 1.335 1482 1.418 1483 1.168 1484 1.162 1485 1.099 1486 1.107 1487 1.167 1488 1.007 1489 0.919 1490 0.659 1491 0.94 1492 0.993 1493 0.96 1494 0.95 1495 0.834 1496 0.96 1497 0.999 1498 0.806 1499 0.785 1500 0.865 1501 0.827 1502 1.034 1503 1.03 1504 0.843 1505 0.792 1506 1.181 1507 1.355 1508 1.002 1509 0.942 1510 1.007 1511 1.085 1512 0.801 1513 0.8 1514 0.721 1515 0.983 1516 0.838 1517 0.878 1518 0.911 1519 1.076 1520 1.367 1521 1.025 1522 1.011 1523 0.672 1524 1.177 1525 1.16 1526 0.791 1527 0.513 1528 0.596 1529 0.75 1530 0.873 1531 1.042 1532 1.32 1533 1.154 1534 1.003 1535 1.001 1536 1.117 1537 0.989 1538 1.161 1539 1.606 1540 1.441 1541 1.488 1542 1.28 1543 1.177 1544 1.407 1545 1.485 1546 1.321 1547 1.064 1548 0.749 1549 0.273 1550 0.38 1551 0.855 1552 0.813 1553 0.73 1554 0.934 1555 1.049 1556 1.344 1557 0.674 1558 0.875 1559 1.212 1560 1.675 1561 1.346 1562 1.085 1563 1.063 1564 1.433 1565 1.568 1566 1.153 1567 0.989 1568 1.086 1569 1.106 1570 0.971 1571 1.122 1572 1.186 1573 1.215 1574 0.847 1575 0.531 1576 0.357 1577 0.42 1578 1.007 1579 1.046 1580 1.073 1581 1.048 1582 0.275 1583 0.195 1584 0.983 1585 0.872 1586 0.751 1587 0.565 1588 0.719 1589 0.631 1590 0.961 1591 0.972 1592 0.885 1593 0.719 1594 0.512 1595 0.595 1596 0.87 1597 0.874 1598 0.976 1599 1.03 1600 0.94 1601 1.326 1602 1.219 1603 1.101 1604 1.263 1605 0.829 1606 1.125 1607 1.178 1608 1.086 1609 1.001 1610 1.191 1611 1.416 1612 1.093 1613 1.025 1614 0.97 1615 0.938 1616 1.288 1617 0.974 1618 1.178 1619 0.865 1620 0.666 1621 0.906 1622 0.843 1623 0.897 1624 0.825 1625 0.767 1626 0.952 1627 0.618 1628 0.255 1629 0.691 1630 0.847 1631 1.138 1632 0.928 1633 0.936 1634 1.255 1635 0.907 1636 1.108 1637 1.147 1638 0.631 1639 0.821 1640 1.204 1641 1.246 1642 1.379 1643 1.265 1644 1 1645 0.909 1646 0.91 1647 1.063 1648 1.116 1649 1.11 1650 0.897 1651 1.197 1652 1.482 1653 1.382 1654 0.963 1655 1.094 1656 0.793 1657 0.887 1658 1.007 1659 0.634 1660 0.352 1661 0.75 1662 0.912 1663 1.184 1664 0.965 1665 1.352 1666 1.258 1667 1.489 1668 1.315 1669 1.259 1670 1.242 1671 1.158 1672 1.001 1673 1.285 1674 1.219 1675 1.092 1676 0.973 1677 1.222 1678 1.339 1679 1.008 1680 0.933 1681 1.104 1682 0.408 1683 0.706 1684 1.166 1685 0.86 1686 0.489 1687 0.677 1688 0.971 1689 1.25 1690 1.167 1691 1.168 1692 0.938 1693 0.262 1694 0.348 1695 0.372 1696 0.413 1697 0.696 1698 0.934 1699 1.071 1700 1.019 1701 0.983 1702 1.091 1703 0.911 1704 0.795 1705 0.689 1706 0.396 1707 0.148 1708 0.302 1709 0.588 1710 0.629 1711 0.623 1712 0.854 1713 0.899 1714 0.849 1715 0.788 1716 0.941 1717 0.909 1718 0.99 1719 1.444 1720 1.448 1721 1.516 1722 1.161 1723 1.245 1724 1.348 1725 1.335 1726 1.309 1727 1.421 1728 1.551 1729 1.299 1730 1.257 1731 1.494 1732 1.497 1733 1.426 1734 1.163 1735 1.201 1736 1.28 1737 1.247 1738 0.886 1739 1.11 1740 1.022 1741 0.773 1742 0.531 1743 0.606 1744 0.853 1745 0.51 1746 0.437 1747 0.765 1748 0.959 1749 0.85 1750 0.582 1751 0.86 1752 0.865 1753 1.102 1754 1.079 1755 0.994 1756 0.748 1757 0.921 1758 0.931 1759 0.481 1760 0.448 1761 0.04 1762 0.299 1763 0.436 1764 0.604 1765 0.75 1766 0.975 1767 1.149 1768 1.044 1769 0.99 1770 0.862 1771 1.326 1772 1.35 1773 1.37 1774 1.355 1775 1.249 1776 1.148 1777 1.35 1778 1.559 1779 1.178 1780 1.256 1781 0.983 1782 0.878 1783 1.118 1784 1.137 1785 1.241 1786 1.052 1787 0.978 1788 1.035 1789 0.658 1790 0.707 1791 0.636 1792 0.561 1793 0.845 1794 0.819 1795 0.346 1796 0.161 1797 0.482 1798 0.606 1799 0.522 1800 0.641 1801 0.748 1802 0.857 1803 1.066 1804 1.184 1805 1.288 1806 1.133 1807 1.061 1808 0.928 1809 0.946 1810 0.75 1811 0.91 1812 0.855 1813 0.957 1814 1.051 1815 1.063 1816 0.971 1817 0.495 1818 0.859 1819 0.844 1820 0.751 1821 0.651 1822 0.369 1823 0.517 1824 0.79 1825 0.998 1826 0.909 1827 1.262 1828 1.191 1829 1.016 1830 0.977 1831 1.122 1832 1.133 1833 1.267 1834 1.212 1835 1.382 1836 1.272 1837 1.383 1838 1.407 1839 1.277 1840 1.05 1841 1.594 1842 1.281 1843 1.228 1844 1.102 1845 1.069 1846 1.524 1847 1.308 1848 1.127 1849 1.015 1850 1.119 1851 0.759 1852 1.066 1853 1.321 1854 1.223 1855 1.101 1856 1.122 1857 1.194 1858 1.018 1859 0.995 1860 1.039 1861 1.283 1862 1.278 1863 1.116 1864 1.249 1865 1.375 1866 1.367 1867 1.34 1868 1.32 1869 1.395 1870 1.286 1871 1.229 1872 1.201 1873 1.064 1874 0.921 1875 0.854 1876 0.897 1877 1.138 1878 1.129 1879 1.213 1880 0.961 1881 0.537 1882 0.522 1883 1.02 1884 1.153 1885 1.282 1886 1.151 1887 0.952 1888 0.898 1889 0.965 1890 0.937 1891 1.271 1892 1.291 1893 1.02 1894 0.886 1895 1.023 1896 1.046 1897 1.126 1898 0.802 1899 0.882 1900 1.257 1901 1.369 1902 1.362 1903 0.846 1904 1.021 1905 0.994 1906 1.07 1907 1.031 1908 1.004 1909 0.958 1910 1.1 1911 0.952 1912 1.306 1913 1.2 1914 1.371 1915 1.309 1916 0.911 1917 1.13 1918 1.078 1919 1.481 1920 1.355 1921 1.122 1922 1.22 1923 1.068 1924 1.222 1925 0.879 1926 1.1 1927 1.1 1928 0.93 1929 0.849 1930 1.003 1931 1.126 1932 0.785 1933 0.738 1934 0.901 1935 0.776 1936 0.927 1937 0.858 1938 0.617 1939 0.664 1940 0.725 1941 0.671 1942 0.564 1943 0.493 1944 0.373 1945 0.604 1946 0.822 1947 0.838 1948 0.777 1949 0.532 1950 0.649 1951 0.633 1952 0.443 1953 0.659 1954 0.591 1955 0.573 1956 0.563 1957 0.889 1958 0.922 1959 0.722 1960 0.615 1961 0.53 1962 0.577 1963 0.749 1964 0.891 1965 0.83 1966 0.921 1967 0.942 1968 1.048 1969 1.189 1970 1.331 1971 1.035 1972 0.958 1973 1.064 1974 1.045 1975 0.881 1976 1 1977 1.254 1978 1.096 1979 1.118 1980 0.924 1981 1.03 1982 0.987 1983 0.715 1984 0.863 1985 0.562 1986 0.779 1987 0.971 1988 1.104 1989 0.976 1990 0.867 1991 1.343 1992 1.167 1993 0.534 1994 0.911 1995 1.024 1996 0.967 1997 0.978 1998 0.61 1999 0.751 2000 0.74 2001 1.07 2002 1.334