# asia_russ070w - Seimchan-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/4633 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ070w - Seimchan-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: Seimchan-river # Location: # Country: Russia # Northernmost_Latitude: 63.52 # Southernmost_Latitude: 63.52 # Easternmost_Longitude: 151.72 # Westernmost_Longitude: 151.72 # Elevation: 450 m #-------------------- # Data_Collection # Collection_Name: asia_russ070wB # Earliest_Year: 1362 # 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":"6.06456493517","T2":"18.0631315298","M1":"0.0217023817372","M2":"0.31319700584"}} #-------------------- # 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 1362 1.178 1363 0.952 1364 0.984 1365 1.262 1366 1.111 1367 0.882 1368 1.192 1369 1.318 1370 1.352 1371 0.842 1372 0.906 1373 1.204 1374 1.222 1375 1.146 1376 1.022 1377 1.166 1378 1.721 1379 1.914 1380 1.442 1381 1.159 1382 0.795 1383 1.068 1384 1.086 1385 0.51 1386 0.51 1387 0.818 1388 0.399 1389 0.515 1390 0.793 1391 0.66 1392 0.887 1393 0.982 1394 0.861 1395 0.899 1396 1.108 1397 1.146 1398 1.321 1399 1.296 1400 0.55 1401 1.061 1402 1.378 1403 1.511 1404 0.803 1405 0.902 1406 0.996 1407 0.786 1408 0.641 1409 0.24 1410 0.419 1411 0.477 1412 0.451 1413 0.56 1414 0.872 1415 0.556 1416 0.707 1417 0.887 1418 1.265 1419 0.689 1420 0.779 1421 1.049 1422 0.624 1423 0.443 1424 0.561 1425 0.822 1426 0.791 1427 0.58 1428 0.585 1429 0.584 1430 0.436 1431 0.526 1432 0.529 1433 0.739 1434 0.651 1435 0.85 1436 0.224 1437 0.851 1438 1.029 1439 1.228 1440 1.124 1441 1.196 1442 1.321 1443 1.42 1444 0.639 1445 0.662 1446 0.234 1447 0.575 1448 0.713 1449 0.343 1450 1.188 1451 1.572 1452 1.7 1453 0.913 1454 0.889 1455 1.259 1456 1.31 1457 1.039 1458 0.634 1459 0.659 1460 0.824 1461 0.614 1462 0.592 1463 1.276 1464 1.019 1465 1.517 1466 1.284 1467 0.978 1468 0.98 1469 1.101 1470 1.032 1471 0.766 1472 0.766 1473 1.159 1474 0.944 1475 0.728 1476 0.996 1477 1.193 1478 1.098 1479 0.197 1480 0.305 1481 0.427 1482 0.701 1483 0.675 1484 0.692 1485 0.746 1486 0.854 1487 0.819 1488 1.419 1489 0.947 1490 1.047 1491 1.077 1492 0.907 1493 0.712 1494 0.898 1495 0.659 1496 0.839 1497 0.993 1498 0.701 1499 0.912 1500 0.956 1501 0.693 1502 0.926 1503 1.308 1504 0.879 1505 0.81 1506 1.065 1507 1.071 1508 1.288 1509 1.322 1510 1.016 1511 1.159 1512 1.365 1513 1.233 1514 1.003 1515 1.195 1516 1.254 1517 1.429 1518 1.428 1519 1.454 1520 1.519 1521 1.008 1522 0.732 1523 1.52 1524 1.787 1525 1.656 1526 1.777 1527 1.801 1528 1.434 1529 1.355 1530 0.796 1531 0.344 1532 0.499 1533 1.091 1534 1.239 1535 1.265 1536 1.374 1537 1.317 1538 1.128 1539 0.902 1540 0.873 1541 0.933 1542 1.139 1543 0.757 1544 0.564 1545 0.544 1546 0.671 1547 1.169 1548 1.133 1549 1.322 1550 1.366 1551 1.384 1552 1.436 1553 1.005 1554 0.421 1555 1.381 1556 1.358 1557 1 1558 1.236 1559 0.564 1560 0.836 1561 1.485 1562 0.957 1563 1.211 1564 1.268 1565 1.251 1566 1.133 1567 1.057 1568 0.986 1569 0.921 1570 0.252 1571 0.801 1572 0.759 1573 0.785 1574 1.053 1575 1.017 1576 0.376 1577 0.817 1578 0.832 1579 0.689 1580 0.593 1581 0.834 1582 0.734 1583 0.467 1584 0.276 1585 0.655 1586 0.615 1587 0.657 1588 0.956 1589 0.851 1590 1.061 1591 1.134 1592 1.322 1593 1.251 1594 1.185 1595 1.098 1596 1.238 1597 1.465 1598 0.829 1599 1.09 1600 1.384 1601 0.723 1602 0.871 1603 0.628 1604 1.122 1605 0.865 1606 0.87 1607 0.322 1608 0.893 1609 0.791 1610 1.033 1611 0.883 1612 1.406 1613 1.258 1614 0.972 1615 0.877 1616 0.944 1617 1.31 1618 1.091 1619 0.729 1620 0.923 1621 0.347 1622 0.947 1623 1.165 1624 1.142 1625 1.154 1626 1.196 1627 0.843 1628 0.813 1629 0.89 1630 0.935 1631 1.213 1632 1.011 1633 0.825 1634 0.951 1635 0.823 1636 0.678 1637 0.345 1638 0.675 1639 0.72 1640 0.871 1641 0.509 1642 0.939 1643 0.796 1644 1.004 1645 0.852 1646 0.569 1647 0.704 1648 0.556 1649 0.816 1650 0.811 1651 0.853 1652 0.601 1653 0.62 1654 0.896 1655 0.933 1656 0.892 1657 0.907 1658 0.724 1659 0.784 1660 0.973 1661 0.89 1662 0.91 1663 0.792 1664 0.819 1665 1.161 1666 0.208 1667 0.887 1668 0.783 1669 0.963 1670 0.808 1671 0.411 1672 0.624 1673 0.57 1674 1.042 1675 0.858 1676 0.487 1677 0.839 1678 0.648 1679 0.295 1680 0.524 1681 0.671 1682 0.988 1683 0.973 1684 1.113 1685 0.71 1686 1.172 1687 1.053 1688 1.179 1689 0.773 1690 1.617 1691 1.802 1692 1.271 1693 1.642 1694 1.292 1695 0.767 1696 0.921 1697 1.117 1698 0.85 1699 1.363 1700 1.444 1701 1.262 1702 1.304 1703 0.87 1704 1.447 1705 1.308 1706 1.265 1707 0.969 1708 1.106 1709 0.942 1710 0.677 1711 0.589 1712 0.886 1713 0.947 1714 0.565 1715 0.728 1716 1.151 1717 1.091 1718 0.944 1719 1.278 1720 1.464 1721 1.154 1722 1.274 1723 1.045 1724 0.493 1725 0.675 1726 0.89 1727 1.006 1728 0.794 1729 0.86 1730 0.578 1731 0.521 1732 0.7 1733 0.695 1734 0.738 1735 0.836 1736 0.677 1737 0.693 1738 0.888 1739 0.933 1740 0.633 1741 1.194 1742 1.097 1743 0.684 1744 0.857 1745 1.254 1746 1.259 1747 0.879 1748 0.702 1749 0.75 1750 0.968 1751 0.865 1752 1.166 1753 1.129 1754 1.069 1755 1.162 1756 0.98 1757 0.889 1758 0.774 1759 0.639 1760 0.974 1761 0.701 1762 0.641 1763 0.948 1764 0.584 1765 0.879 1766 0.984 1767 0.549 1768 0.325 1769 0.603 1770 0.539 1771 0.703 1772 0.409 1773 0.801 1774 0.955 1775 0.865 1776 1.089 1777 0.456 1778 0.946 1779 0.63 1780 0.839 1781 1.293 1782 1.561 1783 1.541 1784 1.209 1785 1.022 1786 0.761 1787 0.727 1788 0.493 1789 1.097 1790 1.091 1791 1.199 1792 1.051 1793 0.849 1794 0.749 1795 0.981 1796 0.383 1797 0.494 1798 0.98 1799 0.739 1800 0.842 1801 0.641 1802 0.929 1803 0.969 1804 0.873 1805 1.099 1806 0.794 1807 0.894 1808 0.788 1809 1.014 1810 0.826 1811 0.773 1812 0.43 1813 0.526 1814 0.549 1815 0.398 1816 0.94 1817 0.415 1818 0.198 1819 1.031 1820 0.866 1821 1.044 1822 0.446 1823 0.809 1824 1.11 1825 1.348 1826 1.474 1827 1.277 1828 1.424 1829 1.753 1830 1.531 1831 1.164 1832 1.175 1833 1.607 1834 1.457 1835 1.619 1836 1.423 1837 0.663 1838 0.725 1839 0.736 1840 0.834 1841 0.49 1842 0.354 1843 0.799 1844 1.275 1845 1.035 1846 1.611 1847 1.857 1848 1.165 1849 1.338 1850 1.263 1851 1.595 1852 1.204 1853 1.61 1854 1.602 1855 1.187 1856 1.027 1857 0.993 1858 1.137 1859 1.167 1860 1.074 1861 1.169 1862 0.839 1863 0.594 1864 0.676 1865 0.971 1866 1.049 1867 1.191 1868 1.208 1869 0.891 1870 1.363 1871 1.607 1872 1.721 1873 1.676 1874 1.731 1875 1.798 1876 1.786 1877 1.577 1878 2.062 1879 1.608 1880 2.289 1881 1.784 1882 1.753 1883 2.604 1884 2.316 1885 1.262 1886 1.583 1887 1.524 1888 1.007 1889 0.812 1890 1.34 1891 1.558 1892 1.449 1893 1.777 1894 1.872 1895 1.322 1896 1.803 1897 1.55 1898 1.836 1899 1.793 1900 1.916 1901 1.663 1902 2.246 1903 2.089 1904 1.841 1905 1.298 1906 1.612 1907 1.202 1908 1.025 1909 0.927 1910 0.902 1911 0.844 1912 1.133 1913 0.972 1914 1.028 1915 0.847 1916 1.016 1917 0.877 1918 0.661 1919 0.984 1920 0.855 1921 1.039 1922 0.602 1923 0.662 1924 0.855 1925 0.67 1926 0.463 1927 0.285 1928 0.7 1929 0.713 1930 0.863 1931 0.915 1932 0.671 1933 0.727 1934 0.618 1935 0.738 1936 0.929 1937 0.815 1938 0.784 1939 0.787 1940 0.65 1941 0.386 1942 0.59 1943 0.713 1944 0.944 1945 0.749 1946 0.803 1947 0.44 1948 0.993 1949 0.498 1950 0.804 1951 0.793 1952 0.716 1953 0.633 1954 0.693 1955 0.697 1956 0.607 1957 0.634 1958 0.624 1959 0.453 1960 0.552 1961 0.164 1962 0.702 1963 0.299 1964 0.822 1965 0.543 1966 0.541 1967 0.584 1968 0.534 1969 0.535 1970 0.635 1971 0.742 1972 0.267 1973 0.669 1974 0.666 1975 0.504 1976 0.539 1977 0.68 1978 0.584 1979 0.526 1980 0.644 1981 0.708 1982 0.121 1983 0.908 1984 0.69 1985 0.62 1986 0.601 1987 0.958 1988 0.891 1989 0.884 1990 0.547 1991 0.967