# asia_russ134w - Majakit River/village - 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/4518 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ134w - Majakit River/village - 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: Majakit River/village # Location: # Country: Russia # Northernmost_Latitude: 61.28 # Southernmost_Latitude: 61.28 # Easternmost_Longitude: 151.95 # Westernmost_Longitude: 151.95 # Elevation: 900 m #-------------------- # Data_Collection # Collection_Name: asia_russ134wB # Earliest_Year: 1338 # Most_Recent_Year: 1994 # 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":"3.66901275682","T2":"16.9605117692","M1":"0.022078404857","M2":"0.410308148169"}} A negative exponential detrending approached 0, thus this dataset was alternately standardized using a 75% cutoff smoothing spline methodology in ARSTAN, following the methodology outlined in Breitenmoser 2014. #-------------------- # 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 1338 2.225 1339 1.111 1340 1.04 1341 1.591 1342 1.313 1343 1.173 1344 1.858 1345 1.649 1346 1.236 1347 1.303 1348 0.824 1349 0.687 1350 1.161 1351 1.159 1352 1.36 1353 1.628 1354 1.827 1355 1.085 1356 1.016 1357 0.747 1358 0.746 1359 0.479 1360 1.12 1361 0.916 1362 0.664 1363 0.816 1364 0.702 1365 0.475 1366 0.857 1367 1.039 1368 1.042 1369 0.924 1370 0.707 1371 0.443 1372 0.848 1373 0.894 1374 1.313 1375 1.238 1376 1.252 1377 0.952 1378 1.165 1379 0.693 1380 1.503 1381 1.062 1382 1.13 1383 1.347 1384 0.867 1385 0.367 1386 1.566 1387 0.905 1388 1.158 1389 0.754 1390 0.647 1391 1.655 1392 1.042 1393 1.4 1394 0.937 1395 1.26 1396 0.999 1397 0.779 1398 0.57 1399 0.467 1400 1.286 1401 1.209 1402 1.03 1403 0.679 1404 0.822 1405 0.89 1406 0.714 1407 0.57 1408 0.568 1409 1.063 1410 1.022 1411 0.814 1412 1.091 1413 1.548 1414 0.706 1415 0.603 1416 0.847 1417 1.025 1418 0.777 1419 0.707 1420 0.707 1421 0.952 1422 0.706 1423 0.812 1424 0.877 1425 1.016 1426 0.965 1427 1.257 1428 0.905 1429 0.73 1430 0.437 1431 1.438 1432 1.253 1433 1.415 1434 1.484 1435 1.503 1436 1.045 1437 1.119 1438 0.824 1439 0.676 1440 0.69 1441 0.58 1442 1.14 1443 0.855 1444 0.498 1445 0.35 1446 0.511 1447 0.504 1448 0.635 1449 0.478 1450 0.78 1451 0.813 1452 0.699 1453 0.461 1454 0.455 1455 0.703 1456 0.581 1457 0.729 1458 0.498 1459 0.793 1460 0.818 1461 0.368 1462 0.546 1463 0.723 1464 0.752 1465 0.549 1466 0.734 1467 0.588 1468 0.367 1469 0.464 1470 0.675 1471 0.874 1472 0.602 1473 0.694 1474 0.56 1475 0.737 1476 0.973 1477 1.084 1478 0.781 1479 0.548 1480 0.599 1481 0.574 1482 0.22 1483 0.778 1484 0.787 1485 0.9 1486 0.819 1487 0.715 1488 0.543 1489 1.12 1490 0.772 1491 0.407 1492 0.732 1493 0.582 1494 0.665 1495 1.122 1496 0.248 1497 1.04 1498 0.905 1499 1.046 1500 1.087 1501 0.949 1502 1.059 1503 1.465 1504 1.398 1505 0.645 1506 0.935 1507 0.554 1508 1.045 1509 0.997 1510 1.097 1511 0.859 1512 1.125 1513 1.226 1514 0.705 1515 0.947 1516 1.005 1517 0.953 1518 1.162 1519 1.411 1520 1.411 1521 1.358 1522 1.24 1523 1.002 1524 1.23 1525 1.038 1526 1.15 1527 1.05 1528 0.999 1529 0.984 1530 0.792 1531 0.664 1532 0.317 1533 0.231 1534 1.058 1535 0.703 1536 1.02 1537 0.991 1538 0.49 1539 0.509 1540 0.465 1541 0.725 1542 0.696 1543 0.698 1544 0.418 1545 0.39 1546 0.325 1547 0.586 1548 0.7 1549 0.832 1550 0.863 1551 0.94 1552 1.016 1553 0.529 1554 0.762 1555 0.953 1556 0.987 1557 0.941 1558 0.744 1559 0.799 1560 0.834 1561 1.353 1562 0.867 1563 0.934 1564 0.575 1565 1.257 1566 1.061 1567 0.781 1568 1.228 1569 1.213 1570 0.434 1571 0.478 1572 0.99 1573 0.58 1574 1.103 1575 1.102 1576 0.296 1577 0.686 1578 0.897 1579 0.76 1580 0.604 1581 0.896 1582 0.814 1583 0.712 1584 0.538 1585 0.864 1586 0.862 1587 0.812 1588 0.897 1589 0.923 1590 1.093 1591 0.963 1592 0.764 1593 1.107 1594 0.884 1595 0.525 1596 0.821 1597 0.753 1598 0.553 1599 1.206 1600 1.4 1601 0.69 1602 0.468 1603 0.916 1604 1.514 1605 1.071 1606 1.111 1607 0.431 1608 1.283 1609 0.919 1610 0.931 1611 0.65 1612 1.467 1613 1.262 1614 1.033 1615 1.078 1616 1.375 1617 1.839 1618 1.529 1619 1.082 1620 0.886 1621 1.514 1622 1.587 1623 1.688 1624 1.727 1625 1.265 1626 1.717 1627 1.043 1628 1.219 1629 1.595 1630 1.717 1631 2.128 1632 1.593 1633 1.334 1634 1.501 1635 1.206 1636 0.873 1637 1.647 1638 1.808 1639 1.278 1640 1.029 1641 0.378 1642 1.393 1643 1.034 1644 1.387 1645 1.268 1646 0.964 1647 1.059 1648 1.073 1649 1.751 1650 1.304 1651 1.186 1652 1.078 1653 0.635 1654 0.909 1655 1.135 1656 1.15 1657 1.187 1658 1.138 1659 1.222 1660 1.06 1661 1.049 1662 0.677 1663 0.517 1664 1.007 1665 0.702 1666 0.164 1667 1.1 1668 0.612 1669 0.78 1670 0.984 1671 0.599 1672 0.971 1673 0.452 1674 1.43 1675 1.262 1676 0.856 1677 0.834 1678 0.86 1679 0.241 1680 0.832 1681 0.716 1682 1.313 1683 1.146 1684 1.016 1685 0.371 1686 1.191 1687 1.042 1688 1.178 1689 0.504 1690 1.43 1691 1.244 1692 1.026 1693 1.406 1694 1.019 1695 0.667 1696 0.604 1697 1.075 1698 0.627 1699 1.536 1700 1.489 1701 1.191 1702 1.282 1703 1.596 1704 2.133 1705 1.335 1706 1.53 1707 0.566 1708 1.119 1709 0.687 1710 0.669 1711 0.843 1712 1.572 1713 1.489 1714 0.632 1715 0.755 1716 1.332 1717 1.206 1718 0.724 1719 1.003 1720 1.372 1721 0.968 1722 1.091 1723 1.089 1724 0.7 1725 0.626 1726 0.499 1727 1.201 1728 0.53 1729 0.88 1730 0.517 1731 0.425 1732 0.875 1733 0.534 1734 0.749 1735 0.653 1736 0.652 1737 0.57 1738 0.629 1739 1.141 1740 0.221 1741 1.316 1742 1.375 1743 0.3 1744 0.672 1745 0.924 1746 1.463 1747 0.959 1748 0.659 1749 1.065 1750 1.097 1751 0.91 1752 1.47 1753 1.576 1754 1.545 1755 1.553 1756 1.5 1757 1.782 1758 0.675 1759 1.186 1760 1.772 1761 0.875 1762 0.975 1763 1.407 1764 0.797 1765 1.096 1766 1.777 1767 1.037 1768 0.495 1769 1.1 1770 0.952 1771 0.902 1772 0.902 1773 1.179 1774 1.392 1775 1.293 1776 1.295 1777 0.546 1778 1.127 1779 1.015 1780 1.08 1781 1.211 1782 1.464 1783 1.188 1784 0.826 1785 0.814 1786 0.564 1787 0.374 1788 0.96 1789 1.363 1790 1.229 1791 1.171 1792 1.423 1793 0.898 1794 0.832 1795 1.035 1796 0.848 1797 0.163 1798 1.385 1799 0.953 1800 0.761 1801 0.977 1802 1.131 1803 1.166 1804 1.03 1805 1.047 1806 0.974 1807 1.362 1808 0.832 1809 1.193 1810 0.78 1811 0.519 1812 0.363 1813 0.666 1814 0.965 1815 0.428 1816 1.197 1817 0.42 1818 0.194 1819 1.199 1820 0.982 1821 1.177 1822 0.788 1823 0.493 1824 1.058 1825 1.289 1826 1.154 1827 0.781 1828 0.838 1829 1.322 1830 1.136 1831 1.126 1832 0.356 1833 1.391 1834 1.163 1835 0.89 1836 1.195 1837 0.325 1838 0.535 1839 0.795 1840 0.879 1841 0.632 1842 0.365 1843 0.763 1844 1.055 1845 0.898 1846 1.077 1847 1.039 1848 0.396 1849 0.699 1850 0.661 1851 0.688 1852 0.441 1853 1.092 1854 0.892 1855 0.444 1856 0.44 1857 0.221 1858 0.436 1859 0.656 1860 0.55 1861 0.617 1862 0.59 1863 0.153 1864 0.435 1865 0.723 1866 0.725 1867 0.587 1868 0.72 1869 0.667 1870 0.935 1871 1.205 1872 0.951 1873 1.318 1874 0.918 1875 0.954 1876 0.818 1877 0.953 1878 1.186 1879 0.667 1880 1.358 1881 1.223 1882 0.887 1883 1.009 1884 1.256 1885 0.732 1886 1.002 1887 0.679 1888 0.568 1889 0.648 1890 0.898 1891 1.131 1892 0.904 1893 1.039 1894 1.04 1895 0.852 1896 0.96 1897 0.617 1898 1.158 1899 1.139 1900 1.105 1901 0.495 1902 1.256 1903 1.114 1904 0.723 1905 0.765 1906 1.262 1907 0.984 1908 0.87 1909 1.148 1910 0.817 1911 0.968 1912 1.068 1913 1.159 1914 1.441 1915 1.051 1916 1.296 1917 1.06 1918 0.548 1919 0.888 1920 1.094 1921 1.155 1922 0.774 1923 0.997 1924 1.238 1925 1.085 1926 1.181 1927 0.681 1928 1.301 1929 1.294 1930 1.211 1931 1.329 1932 0.87 1933 0.536 1934 0.782 1935 0.817 1936 1.075 1937 0.682 1938 0.736 1939 0.806 1940 0.218 1941 0.276 1942 0.972 1943 0.865 1944 1.195 1945 0.935 1946 1.043 1947 0.477 1948 1.161 1949 0.839 1950 0.953 1951 1.054 1952 1.286 1953 0.894 1954 0.908 1955 0.907 1956 0.86 1957 1.025 1958 1.049 1959 0.966 1960 1.235 1961 1 1962 0.927 1963 0.986 1964 1.738 1965 1.276 1966 1.658 1967 1.068 1968 0.959 1969 0.989 1970 1.018 1971 0.773 1972 0.639 1973 1.21 1974 1.206 1975 1.039 1976 1.038 1977 1.295 1978 0.862 1979 0.41 1980 1.178 1981 1.08 1982 0.231 1983 1.447 1984 0.951 1985 0.708 1986 1.062 1987 1.815 1988 1.708 1989 1.584 1990 0.887 1991 1.077 1992 1.369 1993 1.155 1994 1.2