# asia_russ128w - Nuleger 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/4567 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ128w - Nuleger 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: Nuleger river # Location: # Country: Russia # Northernmost_Latitude: 71.22 # Southernmost_Latitude: 71.22 # Easternmost_Longitude: 127.43 # Westernmost_Longitude: 127.43 # Elevation: 40 m #-------------------- # Data_Collection # Collection_Name: asia_russ128wB # Earliest_Year: 1391 # 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":"7.58773232127","T2":"18.4394032947","M1":"0.0216470046557","M2":"0.236221018641"}} #-------------------- # 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 1391 1.069 1392 0.896 1393 0.913 1394 1.079 1395 1.052 1396 1.309 1397 1.323 1398 1.025 1399 1.201 1400 0.645 1401 0.834 1402 0.537 1403 0.529 1404 1.074 1405 0.961 1406 0.532 1407 0.928 1408 1.041 1409 1.594 1410 1.359 1411 1.482 1412 1.326 1413 1.161 1414 0.492 1415 0.646 1416 1.266 1417 1.264 1418 1.39 1419 1.179 1420 0.625 1421 0.306 1422 0.882 1423 0.868 1424 0.939 1425 0.85 1426 1.006 1427 0.502 1428 0.841 1429 0.798 1430 0.938 1431 1.059 1432 1.109 1433 1.516 1434 0.701 1435 1.474 1436 1.224 1437 1.681 1438 1.311 1439 1.696 1440 1.175 1441 1.436 1442 0.955 1443 1.001 1444 0.472 1445 0.873 1446 1.12 1447 0.676 1448 1.517 1449 0.912 1450 1.146 1451 1.097 1452 0.903 1453 0.453 1454 0.833 1455 1.024 1456 0.859 1457 0.535 1458 1.03 1459 0.815 1460 1.257 1461 0.911 1462 0.62 1463 0.406 1464 0.702 1465 0.54 1466 0.695 1467 0.46 1468 0.124 1469 0.968 1470 0.815 1471 0.477 1472 0.611 1473 0.56 1474 0.604 1475 0.756 1476 0.705 1477 0.7 1478 0.64 1479 0.917 1480 0.758 1481 0.98 1482 1.588 1483 1.59 1484 0.899 1485 1.486 1486 1.369 1487 0.936 1488 1.429 1489 0.595 1490 1.252 1491 0.615 1492 1.734 1493 1.376 1494 0.745 1495 0.514 1496 1.455 1497 1.309 1498 1.46 1499 1.217 1500 1.44 1501 0.631 1502 1.077 1503 1.849 1504 0.523 1505 1.444 1506 0.845 1507 1.266 1508 1.204 1509 1.67 1510 0.956 1511 1.238 1512 0.791 1513 1.188 1514 1.508 1515 0.658 1516 1.012 1517 1.006 1518 1.093 1519 1.037 1520 1.065 1521 0.388 1522 0.426 1523 0.792 1524 0.822 1525 0.91 1526 0.986 1527 1.769 1528 1.3 1529 0.454 1530 1.256 1531 1.155 1532 1.854 1533 0.528 1534 1.264 1535 1.097 1536 1.498 1537 0.905 1538 1.251 1539 0.854 1540 0.873 1541 0.75 1542 0.269 1543 1.155 1544 1.272 1545 0.975 1546 1.32 1547 1.469 1548 1.081 1549 1.232 1550 1.466 1551 0.737 1552 1.667 1553 1.42 1554 1.084 1555 1.02 1556 1.124 1557 0.583 1558 1.225 1559 0.719 1560 1.482 1561 1.033 1562 0.96 1563 1.499 1564 0.936 1565 0.798 1566 0.666 1567 1.045 1568 1.181 1569 1.619 1570 0.912 1571 0.931 1572 0.724 1573 1.538 1574 0.96 1575 1.492 1576 0.855 1577 1.11 1578 0.747 1579 0.695 1580 0.536 1581 0.564 1582 0.55 1583 0.556 1584 0.71 1585 0.211 1586 0.986 1587 0.494 1588 0.377 1589 0.526 1590 0.493 1591 0.173 1592 0.328 1593 0.451 1594 0.632 1595 0.637 1596 0.526 1597 0.541 1598 1.052 1599 0.823 1600 0.745 1601 0.32 1602 0.169 1603 0.57 1604 0.938 1605 0.748 1606 1.117 1607 0.434 1608 1.305 1609 0.554 1610 0.828 1611 0.657 1612 0.933 1613 1.187 1614 0.334 1615 0.558 1616 0.817 1617 0.993 1618 0.695 1619 0.14 1620 0.406 1621 0.962 1622 0.482 1623 1.031 1624 1.067 1625 1.226 1626 0.968 1627 1.141 1628 0.584 1629 1.045 1630 1.604 1631 1.119 1632 0.231 1633 0.945 1634 1.061 1635 0.845 1636 0.272 1637 0.967 1638 0.908 1639 1.076 1640 1.157 1641 0.817 1642 0.125 1643 0.767 1644 1.516 1645 0.51 1646 1.186 1647 0.781 1648 0.8 1649 1.025 1650 1.228 1651 1.273 1652 1.268 1653 0.7 1654 1.29 1655 1.407 1656 1.132 1657 1.263 1658 1.09 1659 1.399 1660 1.5 1661 0.524 1662 0.977 1663 1.015 1664 1.528 1665 1.75 1666 1.31 1667 1.969 1668 1.599 1669 1.142 1670 1.512 1671 0.719 1672 1.397 1673 1.377 1674 0.75 1675 0.545 1676 1.135 1677 1.054 1678 0.956 1679 1.049 1680 0.469 1681 0.716 1682 0.886 1683 1.223 1684 0.731 1685 0.63 1686 1.124 1687 1.178 1688 0.998 1689 1.624 1690 0.865 1691 1.435 1692 1.148 1693 1.835 1694 1.878 1695 0.243 1696 0.645 1697 1.493 1698 0.33 1699 0.607 1700 0.579 1701 0.748 1702 0.537 1703 1.153 1704 0.677 1705 0.972 1706 0.703 1707 0.632 1708 0.679 1709 0.377 1710 1.188 1711 1.058 1712 1.09 1713 1.225 1714 0.852 1715 0.725 1716 1.468 1717 1.496 1718 0.72 1719 1.519 1720 1.377 1721 1.487 1722 1.435 1723 1.719 1724 1.071 1725 1.2 1726 2.073 1727 1.772 1728 1.008 1729 1.081 1730 0.609 1731 0.871 1732 1.605 1733 1.218 1734 1.214 1735 0.719 1736 1.044 1737 1.195 1738 1.08 1739 1.59 1740 0.405 1741 0.629 1742 0.61 1743 1.307 1744 0.659 1745 1.171 1746 1.002 1747 1.345 1748 1.041 1749 1.154 1750 1.242 1751 0.915 1752 1.465 1753 0.948 1754 0.418 1755 1.414 1756 0.512 1757 1.991 1758 0.663 1759 0.965 1760 0.805 1761 1.107 1762 0.164 1763 1.472 1764 0.643 1765 1.285 1766 1.217 1767 0.824 1768 1.02 1769 1.042 1770 0.603 1771 0.975 1772 0.522 1773 1.034 1774 1.25 1775 1.25 1776 1.004 1777 1.043 1778 1.096 1779 0.536 1780 0.969 1781 1.124 1782 1.079 1783 1.16 1784 1.44 1785 1.286 1786 0.635 1787 1.092 1788 0.921 1789 0.971 1790 1.144 1791 0.615 1792 0.853 1793 0.778 1794 0.527 1795 0.926 1796 0.328 1797 0.833 1798 1.183 1799 0.501 1800 0.469 1801 0.236 1802 0.997 1803 0.994 1804 0.255 1805 0.552 1806 1.131 1807 0.376 1808 1.035 1809 0.607 1810 1.043 1811 1.079 1812 0.628 1813 0.204 1814 0.885 1815 0.589 1816 0.922 1817 0.166 1818 0.706 1819 0.721 1820 1.321 1821 0.634 1822 0.301 1823 0.309 1824 0.973 1825 0.526 1826 0.828 1827 0.466 1828 0.766 1829 0.698 1830 0.336 1831 0.89 1832 0.772 1833 0.748 1834 1.112 1835 1.273 1836 1.469 1837 0.33 1838 0.86 1839 0.799 1840 1.315 1841 1.249 1842 0.867 1843 1.123 1844 0.561 1845 1.152 1846 1.102 1847 0.853 1848 0.515 1849 0.563 1850 1.069 1851 0.282 1852 0.712 1853 0.789 1854 0.619 1855 0.74 1856 0.699 1857 0.375 1858 1.039 1859 0.316 1860 1.446 1861 1.101 1862 1.215 1863 0.269 1864 1.048 1865 1.195 1866 1.321 1867 1.279 1868 1.382 1869 0.773 1870 1.07 1871 1.279 1872 1.049 1873 0.727 1874 1.045 1875 0.467 1876 1.208 1877 0.915 1878 1.216 1879 1.121 1880 1.033 1881 1.296 1882 0.674 1883 1.525 1884 1.533 1885 1.609 1886 1.008 1887 0.732 1888 0.966 1889 1.013 1890 1.42 1891 1.228 1892 1.293 1893 0.859 1894 1.178 1895 1.074 1896 1.149 1897 1.301 1898 1.393 1899 1.309 1900 0.098 1901 1.496 1902 1.593 1903 1.368 1904 0.585 1905 0.177 1906 0.763 1907 1.099 1908 1.105 1909 1.123 1910 0.713 1911 0.933 1912 1.198 1913 1.024 1914 1.516 1915 0.387 1916 0.693 1917 1.157 1918 0.556 1919 0.718 1920 0.892 1921 0.757 1922 1.294 1923 0.67 1924 0.879 1925 0.677 1926 0.742 1927 0.354 1928 0.849 1929 0.412 1930 1.197 1931 0.989 1932 1.016 1933 1.396 1934 1.322 1935 0.874 1936 0.801 1937 1.109 1938 1.606 1939 1.156 1940 1.728 1941 0.683 1942 0.965 1943 0.704 1944 1.057 1945 1.093 1946 1.29 1947 0.902 1948 1.283 1949 0.636 1950 1.066 1951 1.241 1952 1.402 1953 1.07 1954 1.073 1955 1.373 1956 1.081 1957 0.596 1958 0.559 1959 0.989 1960 1.232 1961 1.24 1962 0.524 1963 0.899 1964 1.664 1965 1.056 1966 0.964 1967 1.194 1968 1.308 1969 1.295 1970 1.046 1971 1.125 1972 0.465 1973 1.149 1974 1.761 1975 0.773 1976 1.187 1977 1.509 1978 1.085 1979 1.21 1980 0.669 1981 1.472 1982 1.46 1983 1.207 1984 0.895 1985 1.028 1986 1.694 1987 0.933 1988 1.459 1989 0.605 1990 1.36