# asia_russ126w - Bilibina, Mali Anuj River - 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/4346 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ126w - Bilibina, Mali Anuj River - 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: Bilibina, Mali Anuj River # Location: # Country: Russia # Northernmost_Latitude: 67.47 # Southernmost_Latitude: 67.47 # Easternmost_Longitude: 167.67 # Westernmost_Longitude: 167.67 # Elevation: 450 m #-------------------- # Data_Collection # Collection_Name: asia_russ126wB # Earliest_Year: 1432 # Most_Recent_Year: 1991 # 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":"4.31550960557","T2":"17.796852763","M1":"0.021868576107","M2":"0.327384231735"}} #-------------------- # 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 1432 0.972 1433 1.055 1434 1.062 1435 0.586 1436 0.989 1437 0.928 1438 0.964 1439 0.898 1440 0.764 1441 0.719 1442 0.752 1443 0.577 1444 0.748 1445 0.888 1446 0.993 1447 1.054 1448 0.977 1449 1.144 1450 1.264 1451 0.827 1452 0.584 1453 1.158 1454 1.399 1455 0.876 1456 0.672 1457 0.598 1458 0.601 1459 0.579 1460 0.617 1461 0.341 1462 0.98 1463 0.613 1464 0.825 1465 0.894 1466 0.701 1467 0.873 1468 0.7 1469 0.847 1470 0.823 1471 0.852 1472 1.18 1473 0.863 1474 0.567 1475 0.821 1476 1.299 1477 0.609 1478 1.027 1479 0.877 1480 0.734 1481 1.014 1482 1.001 1483 0.935 1484 0.686 1485 1.077 1486 0.616 1487 0.92 1488 1.102 1489 0.83 1490 1.449 1491 1.008 1492 1.351 1493 0.965 1494 0.722 1495 0.55 1496 0.844 1497 0.771 1498 0.715 1499 1.388 1500 1.249 1501 0.805 1502 1.011 1503 0.884 1504 0.886 1505 0.694 1506 1.066 1507 1.387 1508 1.739 1509 1.723 1510 1.485 1511 0.68 1512 0.947 1513 1.095 1514 1.247 1515 1.23 1516 1.308 1517 1.581 1518 1.293 1519 1.464 1520 1.663 1521 1.322 1522 1.511 1523 1.221 1524 1.535 1525 1 1526 1.528 1527 1.49 1528 0.858 1529 1.101 1530 0.999 1531 0.349 1532 0.751 1533 1.267 1534 0.918 1535 1.141 1536 1.152 1537 1.123 1538 0.6 1539 1.018 1540 1.292 1541 0.882 1542 1.331 1543 0.274 1544 0.949 1545 1.169 1546 0.884 1547 1.662 1548 1.321 1549 1.255 1550 1.062 1551 1.224 1552 1.201 1553 0.753 1554 0.581 1555 1.235 1556 1.346 1557 0.591 1558 0.702 1559 0.69 1560 0.537 1561 0.729 1562 1.025 1563 0.943 1564 0.812 1565 1.303 1566 1.098 1567 0.811 1568 1.144 1569 1.737 1570 0.86 1571 0.741 1572 0.531 1573 0.715 1574 1.076 1575 1.07 1576 0.529 1577 0.573 1578 1.167 1579 0.98 1580 0.336 1581 1.148 1582 1.365 1583 0.847 1584 0.547 1585 0.477 1586 0.814 1587 0.471 1588 0.745 1589 0.165 1590 0.564 1591 0.434 1592 0.542 1593 0.714 1594 0.593 1595 0.501 1596 0.693 1597 0.709 1598 0.823 1599 1.108 1600 0.867 1601 0.471 1602 0.801 1603 0.871 1604 0.759 1605 0.9 1606 0.338 1607 0.287 1608 0.958 1609 0.661 1610 1.028 1611 0.848 1612 1.15 1613 1.139 1614 0.799 1615 0.732 1616 0.645 1617 0.956 1618 0.891 1619 1.012 1620 1.188 1621 1.315 1622 1.076 1623 0.983 1624 1.017 1625 1.29 1626 0.661 1627 0.262 1628 0.905 1629 1.168 1630 1.065 1631 1.054 1632 1.106 1633 1.151 1634 1.187 1635 0.485 1636 0.732 1637 0.926 1638 1.159 1639 1.281 1640 0.52 1641 0.551 1642 0.357 1643 0.437 1644 0.607 1645 0.401 1646 0.782 1647 0.938 1648 1.068 1649 1.21 1650 1.29 1651 1.399 1652 1.013 1653 1.081 1654 0.376 1655 1.158 1656 1.212 1657 0.842 1658 1.295 1659 1.188 1660 1.477 1661 0.859 1662 1.239 1663 1.463 1664 1.191 1665 1.314 1666 1.59 1667 0.805 1668 0.377 1669 0.939 1670 1.188 1671 0.957 1672 1.252 1673 0.468 1674 1.234 1675 0.71 1676 0.314 1677 1.067 1678 0.911 1679 0.51 1680 0.486 1681 0.83 1682 1.449 1683 1.181 1684 1.011 1685 0.79 1686 1.154 1687 0.816 1688 0.909 1689 1.229 1690 1.371 1691 1.727 1692 1.516 1693 1.33 1694 1.522 1695 1.195 1696 1.137 1697 0.909 1698 0.377 1699 1.49 1700 0.826 1701 1.264 1702 1.194 1703 0.79 1704 1.021 1705 0.855 1706 0.726 1707 1.176 1708 0.626 1709 0.56 1710 0.861 1711 0.584 1712 1.106 1713 0.774 1714 1.066 1715 0.553 1716 1.503 1717 1.35 1718 1.384 1719 1.072 1720 1.529 1721 1.264 1722 1.436 1723 1.708 1724 0.832 1725 1.009 1726 0.468 1727 1.304 1728 1.125 1729 0.82 1730 0.696 1731 0.906 1732 1.143 1733 1.132 1734 0.773 1735 0.84 1736 0.578 1737 0.827 1738 1.386 1739 1.473 1740 0.661 1741 0.66 1742 0.779 1743 0.407 1744 0.916 1745 0.805 1746 1.578 1747 0.895 1748 1.494 1749 1.481 1750 0.653 1751 0.816 1752 1.563 1753 1.554 1754 1.304 1755 1.274 1756 1.021 1757 1.766 1758 0.965 1759 1.505 1760 0.749 1761 1.387 1762 1.125 1763 1.47 1764 1.093 1765 1.296 1766 1.461 1767 1.064 1768 0.931 1769 0.797 1770 0.998 1771 0.872 1772 0.748 1773 0.508 1774 1.163 1775 1.026 1776 0.446 1777 0.648 1778 0.935 1779 0.666 1780 0.677 1781 1.287 1782 1.295 1783 1.457 1784 0.992 1785 1.408 1786 1.268 1787 0.692 1788 0.201 1789 1.048 1790 0.913 1791 1.086 1792 1.791 1793 0.987 1794 0.566 1795 0.682 1796 0.906 1797 1.308 1798 0.806 1799 2.118 1800 2.019 1801 0.676 1802 1.282 1803 1.386 1804 1.108 1805 1.751 1806 0.919 1807 1.309 1808 1.655 1809 1.402 1810 1.147 1811 1.691 1812 0.829 1813 0.381 1814 1.356 1815 0.962 1816 0.905 1817 0.535 1818 0.969 1819 0.804 1820 1.106 1821 1.105 1822 0.175 1823 0.677 1824 1.266 1825 0.846 1826 0.973 1827 0.68 1828 1.146 1829 0.842 1830 0.625 1831 0.991 1832 0.847 1833 1.051 1834 0.316 1835 1.487 1836 1.051 1837 0.971 1838 0.528 1839 0.598 1840 0.799 1841 0.56 1842 1.151 1843 0.66 1844 0.939 1845 1.079 1846 0.717 1847 0.214 1848 0.271 1849 0.735 1850 0.807 1851 0.694 1852 0.722 1853 0.861 1854 0.76 1855 0.868 1856 0.343 1857 0.685 1858 1.044 1859 1.096 1860 0.867 1861 1.034 1862 0.53 1863 0.874 1864 1.04 1865 0.481 1866 0.817 1867 0.327 1868 0.75 1869 0.708 1870 1.089 1871 0.972 1872 0.484 1873 0.987 1874 0.48 1875 0.492 1876 1.21 1877 1.094 1878 1.071 1879 0.738 1880 0.927 1881 0.947 1882 1.07 1883 1.059 1884 1.265 1885 0.601 1886 0.271 1887 0.976 1888 1.134 1889 0.814 1890 0.61 1891 0.898 1892 0.658 1893 0.519 1894 1.274 1895 0.933 1896 0.709 1897 0.732 1898 1.083 1899 0.787 1900 1.284 1901 1.232 1902 1.501 1903 0.753 1904 1.328 1905 1.001 1906 1.422 1907 1.221 1908 0.861 1909 0.648 1910 0.748 1911 1.148 1912 1.281 1913 0.92 1914 0.997 1915 1.137 1916 1.327 1917 0.819 1918 0.715 1919 0.848 1920 0.799 1921 0.543 1922 0.764 1923 1.001 1924 1.142 1925 1.299 1926 0.782 1927 0.391 1928 0.824 1929 1.051 1930 0.93 1931 1.023 1932 1.011 1933 0.688 1934 0.51 1935 1.211 1936 0.845 1937 1.068 1938 0.783 1939 0.976 1940 1.016 1941 1.076 1942 1.039 1943 1.219 1944 0.87 1945 0.649 1946 0.597 1947 1.082 1948 1.156 1949 0.586 1950 0.465 1951 0.757 1952 1.371 1953 1.744 1954 0.885 1955 1.318 1956 1.279 1957 1.151 1958 1.686 1959 0.844 1960 1.408 1961 0.632 1962 0.404 1963 1.045 1964 1.843 1965 1.111 1966 0.848 1967 1.111 1968 1.253 1969 0.577 1970 1.565 1971 1.337 1972 1.222 1973 1.53 1974 1.689 1975 1.271 1976 1.532 1977 0.887 1978 0.563 1979 1.299 1980 1.115 1981 0.93 1982 0.372 1983 1.212 1984 0.659 1985 1.284 1986 0.922 1987 0.708 1988 0.853 1989 0.749 1990 0.783 1991 1.169