# asia_russ142w - Tschokurdach, Ochotingna - 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/4694 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ142w - Tschokurdach, Ochotingna - 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: Tschokurdach, Ochotingna # Location: # Country: Russia # Northernmost_Latitude: 70.28 # Southernmost_Latitude: 70.28 # Easternmost_Longitude: 148.05 # Westernmost_Longitude: 148.05 # Elevation: 50 m #-------------------- # Data_Collection # Collection_Name: asia_russ142wB # Earliest_Year: 1434 # 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":"6.49267601737","T2":"20.4962982255","M1":"0.0207445694413","M2":"0.148591345535"}} #-------------------- # 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 1434 0.808 1435 0.749 1436 0.964 1437 0.874 1438 0.936 1439 1.061 1440 1.217 1441 1.034 1442 1.222 1443 0.944 1444 1.132 1445 1.041 1446 0.949 1447 1.138 1448 1.36 1449 1.488 1450 1.207 1451 1.431 1452 1.053 1453 1.182 1454 0.897 1455 1.441 1456 1.379 1457 0.933 1458 0.646 1459 0.872 1460 0.744 1461 1.197 1462 1.005 1463 1.072 1464 0.553 1465 0.651 1466 0.587 1467 0.457 1468 0.588 1469 0.917 1470 1.018 1471 0.788 1472 0.756 1473 0.393 1474 0.592 1475 0.859 1476 0.76 1477 0.661 1478 0.628 1479 0.696 1480 0.697 1481 0.631 1482 0.8 1483 0.835 1484 0.802 1485 0.837 1486 0.838 1487 0.567 1488 0.67 1489 0.602 1490 0.843 1491 0.878 1492 0.776 1493 0.743 1494 0.847 1495 0.364 1496 0.884 1497 0.712 1498 0.782 1499 0.992 1500 0.924 1501 1.274 1502 0.891 1503 0.997 1504 0.577 1505 1.141 1506 1.213 1507 1.109 1508 1.642 1509 1.893 1510 1.236 1511 0.834 1512 0.753 1513 1.493 1514 1.348 1515 1.229 1516 1.12 1517 1.315 1518 1.855 1519 1.709 1520 1.493 1521 0.81 1522 1.181 1523 0.834 1524 1.161 1525 1.268 1526 0.977 1527 1.479 1528 0.758 1529 0.854 1530 0.718 1531 0.767 1532 1.285 1533 1.525 1534 0.964 1535 1.035 1536 1.296 1537 1.155 1538 1.07 1539 0.981 1540 1.065 1541 0.353 1542 0.408 1543 0.507 1544 1.071 1545 0.805 1546 0.874 1547 1.453 1548 1.408 1549 1.911 1550 2.117 1551 1.572 1552 1.929 1553 1.551 1554 1.114 1555 2.014 1556 1.306 1557 0.331 1558 1.397 1559 0.898 1560 0.794 1561 1.136 1562 0.889 1563 1.311 1564 0.928 1565 1.177 1566 0.865 1567 0.983 1568 1.763 1569 1.286 1570 1.239 1571 1.38 1572 0.215 1573 1.303 1574 1.062 1575 1.791 1576 0.524 1577 0.798 1578 0.813 1579 1.006 1580 0.162 1581 1.031 1582 0.843 1583 0.563 1584 0.815 1585 0.204 1586 0.901 1587 0.751 1588 1.01 1589 0.427 1590 0.962 1591 0.973 1592 1.164 1593 0.974 1594 0.916 1595 1.41 1596 0.856 1597 0.485 1598 1.146 1599 0.901 1600 1.148 1601 0.67 1602 0.898 1603 1.056 1604 1.157 1605 0.328 1606 0.93 1607 0.753 1608 0.679 1609 0.546 1610 0.828 1611 0.848 1612 1.095 1613 1.414 1614 1.019 1615 1.247 1616 0.79 1617 0.638 1618 0.903 1619 0.596 1620 0.473 1621 1.148 1622 0.83 1623 1.273 1624 1.535 1625 1.689 1626 1.841 1627 0.741 1628 0.654 1629 1.287 1630 1.986 1631 1.483 1632 0.865 1633 1.161 1634 0.754 1635 0.692 1636 0.65 1637 0.798 1638 1.182 1639 1.117 1640 1.276 1641 0.92 1642 0.153 1643 0.267 1644 0.793 1645 0.122 1646 0.865 1647 1.063 1648 0.864 1649 0.998 1650 0.814 1651 0.818 1652 0.999 1653 1.301 1654 1.15 1655 1.724 1656 1.005 1657 1.514 1658 1.593 1659 1.595 1660 1.631 1661 0.478 1662 0.907 1663 1.581 1664 1.913 1665 1.032 1666 0.781 1667 1.112 1668 0.835 1669 0.72 1670 1.238 1671 0.316 1672 1.057 1673 1.206 1674 1.289 1675 0.284 1676 0.772 1677 1.139 1678 0.842 1679 0.618 1680 0.617 1681 1.294 1682 0.89 1683 0.643 1684 0.092 1685 0.647 1686 0.815 1687 0.571 1688 0.592 1689 0.929 1690 0.33 1691 0.968 1692 0.577 1693 1.538 1694 1.019 1695 0.113 1696 0.443 1697 1.261 1698 0.179 1699 1.018 1700 0.836 1701 0.962 1702 1.106 1703 1.038 1704 1.173 1705 0.836 1706 0.878 1707 1.216 1708 0.938 1709 0.726 1710 1.111 1711 0.584 1712 0.802 1713 0.964 1714 0.759 1715 0.884 1716 1.495 1717 0.591 1718 0.905 1719 1.09 1720 1.33 1721 1.108 1722 1.269 1723 1.532 1724 0.414 1725 0.493 1726 1.024 1727 1.083 1728 1.547 1729 0.9 1730 0.328 1731 0.903 1732 1.568 1733 1.106 1734 1.231 1735 0.722 1736 1.207 1737 0.67 1738 0.823 1739 1.273 1740 0.588 1741 0.688 1742 0.876 1743 0.776 1744 0.417 1745 1.296 1746 0.778 1747 0.777 1748 1.065 1749 1.369 1750 1.474 1751 0.97 1752 1.4 1753 0.722 1754 0.982 1755 1.808 1756 1.39 1757 1.994 1758 1.579 1759 1.228 1760 1.108 1761 0.905 1762 0.22 1763 1.387 1764 0.95 1765 1.052 1766 1.054 1767 0.87 1768 0.708 1769 0.554 1770 0.732 1771 1.22 1772 0.833 1773 1.234 1774 1.195 1775 1.181 1776 0.776 1777 1.142 1778 1.484 1779 0.587 1780 0.583 1781 1.378 1782 1.512 1783 1.203 1784 1.229 1785 1.338 1786 1.024 1787 0.75 1788 0.834 1789 1.507 1790 0.919 1791 1.069 1792 1.06 1793 0.595 1794 0.324 1795 0.629 1796 0.581 1797 0.615 1798 0.926 1799 0.878 1800 0.698 1801 0.144 1802 0.836 1803 0.66 1804 0.428 1805 0.997 1806 0.668 1807 0.934 1808 1.282 1809 1.204 1810 1.14 1811 1.213 1812 0.771 1813 0.627 1814 0.504 1815 0.641 1816 1.086 1817 0.505 1818 0.28 1819 1.446 1820 1.261 1821 1.184 1822 0.428 1823 0.869 1824 0.997 1825 1.009 1826 1.078 1827 0.313 1828 0.858 1829 0.8 1830 0.849 1831 0.824 1832 0.916 1833 1.268 1834 0.932 1835 1.235 1836 1.272 1837 0.06 1838 0.908 1839 0.862 1840 0.815 1841 0.17 1842 0.733 1843 0.787 1844 0.906 1845 1.373 1846 1.156 1847 0.961 1848 0.437 1849 0.465 1850 0.856 1851 0.656 1852 0.725 1853 0.902 1854 1.087 1855 1.447 1856 0.958 1857 0.714 1858 1.537 1859 0.959 1860 1.177 1861 1.664 1862 0.948 1863 0.49 1864 0.58 1865 0.987 1866 1.331 1867 1.321 1868 1.133 1869 1.255 1870 1.623 1871 1.219 1872 1.248 1873 1.186 1874 0.907 1875 0.625 1876 1.291 1877 1.131 1878 1.301 1879 1.065 1880 1.352 1881 1.014 1882 0.95 1883 1.237 1884 0.981 1885 1.141 1886 0.776 1887 0.581 1888 1.059 1889 1.078 1890 1.26 1891 1.177 1892 0.367 1893 0.728 1894 1.024 1895 0.816 1896 0.554 1897 1.137 1898 1.129 1899 0.796 1900 0.871 1901 1.391 1902 1.476 1903 1.212 1904 0.907 1905 0.676 1906 0.912 1907 1.052 1908 0.762 1909 0.776 1910 0.754 1911 1.227 1912 1.368 1913 1.154 1914 1.463 1915 0.406 1916 0.68 1917 0.966 1918 0.474 1919 0.621 1920 0.865 1921 0.626 1922 0.819 1923 0.648 1924 0.719 1925 0.776 1926 0.514 1927 0.593 1928 0.739 1929 0.642 1930 1.075 1931 0.746 1932 0.895 1933 1.401 1934 0.81 1935 1.158 1936 1.087 1937 0.561 1938 1.171 1939 1.164 1940 1.497 1941 0.646 1942 1.197 1943 1.198 1944 1.398 1945 0.59 1946 1.014 1947 1.406 1948 1.393 1949 1.183 1950 1.159 1951 1.543 1952 1.509 1953 1.258 1954 0.976 1955 1.24 1956 1.666 1957 0.738 1958 1.05 1959 0.872 1960 1.566 1961 1.317 1962 0.479 1963 0.929 1964 1.004 1965 1.059 1966 0.99 1967 0.919 1968 1.083 1969 1.069 1970 1.04 1971 1.128 1972 0.556 1973 1.407 1974 1.654 1975 1.124 1976 1.239 1977 1.377 1978 0.564 1979 0.429 1980 1.032 1981 0.743 1982 0.814 1983 1.075 1984 0.375 1985 1.089 1986 1.046 1987 0.87 1988 0.859 1989 0.93 1990 0.991