# asia_russ048w - Olenjok - 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/4573 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ048w - Olenjok - 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: Olenjok # Location: # Country: Russia # Northernmost_Latitude: 68.6 # Southernmost_Latitude: 68.6 # Easternmost_Longitude: 112.25 # Westernmost_Longitude: 112.25 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: asia_russ048wB # Earliest_Year: 1450 # Most_Recent_Year: 1990 # 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":"6.22827050264","T2":"17.5348518414","M1":"0.0214827602928","M2":"0.368899286743"}} #-------------------- # Species # Species_Name: Dahurian larch # Species_Code: LAGM #-------------------- # 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 1450 1.144 1451 1.21 1452 1.202 1453 1.048 1454 1.174 1455 1.167 1456 1.466 1457 1.123 1458 1.664 1459 1.566 1460 1.542 1461 1.403 1462 0.678 1463 1.309 1464 1.158 1465 0.827 1466 0.972 1467 1.346 1468 0.552 1469 1.054 1470 1.141 1471 0.941 1472 0.711 1473 0.684 1474 0.905 1475 0.752 1476 0.868 1477 0.946 1478 0.947 1479 0.367 1480 0.914 1481 0.95 1482 1.171 1483 1.015 1484 1.081 1485 1.032 1486 1.022 1487 1.312 1488 0.959 1489 0.589 1490 0.879 1491 1.032 1492 1.188 1493 0.805 1494 0.841 1495 0.952 1496 1.033 1497 1.048 1498 1.212 1499 0.92 1500 1.098 1501 1.134 1502 0.75 1503 1.079 1504 1.197 1505 1.099 1506 0.569 1507 0.786 1508 0.716 1509 0.658 1510 0.631 1511 0.476 1512 0.877 1513 0.669 1514 0.919 1515 0.464 1516 0.862 1517 0.757 1518 0.838 1519 0.886 1520 0.59 1521 0.881 1522 0.792 1523 0.825 1524 0.682 1525 1.385 1526 1.138 1527 0.749 1528 1.205 1529 0.841 1530 1.093 1531 1.374 1532 1.807 1533 0.646 1534 0.69 1535 0.444 1536 0.491 1537 1.002 1538 1.381 1539 1.241 1540 0.55 1541 0.198 1542 0.585 1543 0.731 1544 0.883 1545 0.241 1546 0.663 1547 0.333 1548 0.841 1549 1.004 1550 1.044 1551 0.785 1552 0.827 1553 0.855 1554 0.868 1555 0.814 1556 0.494 1557 0.628 1558 0.744 1559 0.765 1560 1.126 1561 0.82 1562 1.105 1563 0.852 1564 1.221 1565 1.232 1566 0.774 1567 0.95 1568 0.971 1569 1.393 1570 1.133 1571 1.452 1572 1.319 1573 1.012 1574 1.422 1575 1.296 1576 0.767 1577 1.289 1578 0.564 1579 1.083 1580 1.083 1581 1.183 1582 1.198 1583 1.034 1584 1.441 1585 0.678 1586 0.756 1587 0.902 1588 1.057 1589 0.68 1590 1.377 1591 1.12 1592 0.743 1593 0.76 1594 1.05 1595 1.013 1596 0.704 1597 0.789 1598 1.291 1599 1.464 1600 1.212 1601 0.319 1602 1.086 1603 0.495 1604 0.623 1605 0.986 1606 0.719 1607 0.804 1608 0.88 1609 0.853 1610 1.098 1611 0.818 1612 0.916 1613 1.498 1614 1.06 1615 1.117 1616 0.913 1617 1.125 1618 0.858 1619 0.742 1620 0.773 1621 0.821 1622 0.765 1623 0.933 1624 0.906 1625 0.954 1626 0.966 1627 0.863 1628 0.767 1629 0.86 1630 0.919 1631 0.867 1632 0.447 1633 0.937 1634 0.721 1635 0.868 1636 0.861 1637 1.011 1638 0.732 1639 1.159 1640 1.544 1641 1.14 1642 0.263 1643 1.048 1644 1.298 1645 0.715 1646 0.627 1647 0.66 1648 0.967 1649 0.984 1650 0.512 1651 0.762 1652 1.193 1653 0.816 1654 1.034 1655 1.317 1656 1.145 1657 0.858 1658 1.085 1659 1.133 1660 0.98 1661 0.979 1662 0.982 1663 0.693 1664 1.25 1665 0.888 1666 1.013 1667 1.341 1668 1.028 1669 1.292 1670 1.102 1671 1.09 1672 1.138 1673 1.09 1674 0.677 1675 0.663 1676 0.995 1677 0.882 1678 0.747 1679 1.013 1680 1.204 1681 0.723 1682 1.173 1683 1.468 1684 1.408 1685 1.111 1686 1.08 1687 1.03 1688 0.493 1689 1.258 1690 1.373 1691 1.492 1692 1.041 1693 1.769 1694 1.429 1695 1.206 1696 0.206 1697 0.791 1698 0.568 1699 0.488 1700 0.716 1701 0.572 1702 0.689 1703 0.871 1704 0.869 1705 0.868 1706 0.819 1707 1.805 1708 0.91 1709 1.295 1710 1.06 1711 0.985 1712 1.182 1713 1.156 1714 1.128 1715 1.308 1716 1.199 1717 1.454 1718 1.569 1719 1.615 1720 1.843 1721 1.602 1722 1.63 1723 1.308 1724 1.421 1725 1.14 1726 1.364 1727 1.452 1728 0.359 1729 1.467 1730 1.189 1731 0.69 1732 1.064 1733 1.151 1734 0.875 1735 0.833 1736 0.943 1737 1.137 1738 0.689 1739 0.886 1740 1.064 1741 0.242 1742 0.746 1743 1.362 1744 1.172 1745 1.312 1746 1.122 1747 1.321 1748 1.041 1749 1.299 1750 1.188 1751 1.121 1752 1.587 1753 1.492 1754 0.72 1755 1.07 1756 1.204 1757 1.426 1758 0.617 1759 0.945 1760 0.647 1761 1.354 1762 1.014 1763 1.178 1764 0.841 1765 1.409 1766 1.483 1767 1.137 1768 0.61 1769 0.585 1770 0.758 1771 0.856 1772 0.516 1773 0.759 1774 0.843 1775 1.132 1776 1.011 1777 1.172 1778 0.972 1779 0.591 1780 0.805 1781 0.668 1782 0.944 1783 0.852 1784 1.003 1785 1.053 1786 0.984 1787 0.993 1788 0.385 1789 1.023 1790 0.851 1791 0.352 1792 0.683 1793 0.847 1794 0.988 1795 0.864 1796 0.821 1797 0.66 1798 1.121 1799 0.635 1800 0.141 1801 0.831 1802 0.783 1803 0.897 1804 1.036 1805 0.176 1806 1.173 1807 0.224 1808 0.522 1809 0.604 1810 0.874 1811 0.854 1812 0.556 1813 0.519 1814 0.942 1815 0.989 1816 0.893 1817 0.386 1818 0.794 1819 0.447 1820 1.032 1821 0.643 1822 0.699 1823 0.468 1824 0.661 1825 0.178 1826 1.006 1827 0.98 1828 0.671 1829 1.096 1830 0.227 1831 1.204 1832 0.406 1833 0.246 1834 0.664 1835 0.765 1836 1.027 1837 1.015 1838 0.969 1839 0.688 1840 1.099 1841 0.816 1842 1.244 1843 1.125 1844 0.737 1845 0.997 1846 1.142 1847 1.166 1848 1.139 1849 0.369 1850 1.172 1851 0.737 1852 1.018 1853 0.859 1854 0.792 1855 0.882 1856 0.807 1857 1.204 1858 1.494 1859 0.553 1860 1.713 1861 1.409 1862 1.175 1863 0.842 1864 1.125 1865 1.311 1866 1.777 1867 0.553 1868 1.5 1869 0.741 1870 1.083 1871 0.913 1872 0.926 1873 0.636 1874 1.211 1875 1.437 1876 1.148 1877 1.045 1878 0.736 1879 0.96 1880 0.931 1881 1.065 1882 1.193 1883 0.894 1884 1.171 1885 1.274 1886 0.328 1887 1.033 1888 0.776 1889 0.752 1890 0.879 1891 1.268 1892 1.03 1893 0.561 1894 1.043 1895 1.059 1896 1.306 1897 1.03 1898 0.842 1899 0.86 1900 0.196 1901 1.642 1902 1.135 1903 0.725 1904 0.478 1905 0.341 1906 1.075 1907 0.808 1908 1.174 1909 0.647 1910 0.977 1911 0.475 1912 1.263 1913 0.956 1914 1.048 1915 1.365 1916 0.921 1917 1.14 1918 1.157 1919 1.207 1920 0.816 1921 0.728 1922 0.779 1923 0.99 1924 0.982 1925 0.842 1926 0.906 1927 0.811 1928 1.082 1929 0.634 1930 0.796 1931 0.905 1932 1.046 1933 1.079 1934 1.069 1935 0.722 1936 0.807 1937 0.985 1938 1.265 1939 1.337 1940 1.259 1941 1.399 1942 1.284 1943 1.142 1944 0.647 1945 1.621 1946 1.102 1947 0.702 1948 1.305 1949 1.091 1950 1.322 1951 0.468 1952 1.028 1953 0.719 1954 1.254 1955 1.228 1956 0.834 1957 0.722 1958 0.46 1959 1.338 1960 1.095 1961 1.159 1962 0.956 1963 0.718 1964 1.269 1965 0.48 1966 0.97 1967 1.06 1968 0.853 1969 1.104 1970 1.148 1971 0.948 1972 0.901 1973 0.98 1974 1.054 1975 1.215 1976 0.686 1977 1.143 1978 0.873 1979 1.602 1980 0.923 1981 1.321 1982 1.038 1983 1.343 1984 1.441 1985 1.05 1986 1.293 1987 1.473 1988 1.663 1989 0.289 1990 1.478