# asia_russ132w - Andryuschkine - 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/4310 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: asia_russ132w - Andryuschkine - 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: Andryuschkine # Location: # Country: Russia # Northernmost_Latitude: 69.28 # Southernmost_Latitude: 69.28 # Easternmost_Longitude: 154.77 # Westernmost_Longitude: 154.77 # Elevation: 50 m #-------------------- # Data_Collection # Collection_Name: asia_russ132wB # Earliest_Year: 1449 # 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":"7.38627263177","T2":"18.5016204526","M1":"0.0212966150647","M2":"0.29114527773"}} #-------------------- # 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 1449 1.172 1450 1.262 1451 1.122 1452 0.719 1453 1.042 1454 0.957 1455 0.99 1456 0.638 1457 0.966 1458 0.91 1459 0.703 1460 0.735 1461 0.646 1462 0.709 1463 0.528 1464 0.651 1465 1.112 1466 0.654 1467 0.687 1468 0.595 1469 0.597 1470 0.91 1471 0.976 1472 0.853 1473 0.886 1474 1.238 1475 0.541 1476 0.414 1477 0.575 1478 0.77 1479 0.675 1480 0.774 1481 0.515 1482 0.483 1483 0.32 1484 0.748 1485 0.75 1486 0.685 1487 0.787 1488 0.488 1489 0.489 1490 0.86 1491 0.862 1492 0.83 1493 1.07 1494 0.868 1495 0.939 1496 0.632 1497 0.702 1498 0.496 1499 1.017 1500 1.472 1501 1.057 1502 1.235 1503 1.238 1504 1.17 1505 1.704 1506 1.283 1507 1.144 1508 1.974 1509 1.675 1510 1.033 1511 0.686 1512 0.682 1513 1 1514 1.229 1515 1.266 1516 1.272 1517 0.952 1518 1.34 1519 1.185 1520 0.922 1521 0.472 1522 1.194 1523 0.992 1524 0.95 1525 1.61 1526 1.419 1527 1.8 1528 0.959 1529 0.751 1530 1.022 1531 0.884 1532 1.327 1533 1.63 1534 0.629 1535 1.586 1536 1.313 1537 0.744 1538 0.69 1539 0.862 1540 1.248 1541 0.519 1542 0.652 1543 0.476 1544 0.969 1545 0.991 1546 0.771 1547 1.392 1548 1.22 1549 1.049 1550 1.678 1551 1.423 1552 1.717 1553 1.271 1554 0.62 1555 1.253 1556 0.799 1557 0.199 1558 1.185 1559 0.973 1560 0.786 1561 0.926 1562 0.898 1563 1.151 1564 0.832 1565 1.184 1566 0.873 1567 0.527 1568 1.381 1569 0.959 1570 0.362 1571 0.909 1572 0.314 1573 1.159 1574 0.83 1575 1.467 1576 0.467 1577 0.839 1578 1.087 1579 1.304 1580 0.182 1581 0.811 1582 0.995 1583 1.11 1584 0.906 1585 0.691 1586 0.925 1587 0.816 1588 0.935 1589 0.567 1590 0.722 1591 0.97 1592 0.903 1593 0.898 1594 0.916 1595 1.309 1596 0.308 1597 0.219 1598 0.865 1599 0.931 1600 1.362 1601 0.994 1602 0.536 1603 1.425 1604 1.37 1605 0.517 1606 1.158 1607 0.567 1608 0.553 1609 0.447 1610 0.939 1611 0.6 1612 1.064 1613 1.057 1614 0.432 1615 1.062 1616 0.75 1617 0.69 1618 1.058 1619 0.779 1620 1.005 1621 1.217 1622 1.277 1623 1.227 1624 1.234 1625 1.286 1626 0.866 1627 0.27 1628 0.459 1629 1.012 1630 1.566 1631 1.129 1632 0.919 1633 1.097 1634 0.82 1635 0.484 1636 0.717 1637 0.258 1638 0.77 1639 0.538 1640 0.781 1641 0.829 1642 0.261 1643 0.214 1644 1.199 1645 0.554 1646 1.13 1647 1.698 1648 1.498 1649 1.694 1650 1.619 1651 1.562 1652 1.033 1653 1.577 1654 0.902 1655 1.77 1656 1.573 1657 1.297 1658 1.88 1659 1.696 1660 1.818 1661 0.964 1662 0.765 1663 1.066 1664 1.291 1665 1.002 1666 1.367 1667 1.15 1668 0.905 1669 1.196 1670 2.139 1671 1.467 1672 1.538 1673 1.51 1674 2.035 1675 0.587 1676 0.699 1677 1.697 1678 1.189 1679 0.726 1680 0.504 1681 1.302 1682 1.464 1683 1.266 1684 1.342 1685 1.466 1686 0.676 1687 0.659 1688 1.066 1689 1.38 1690 1.03 1691 1.845 1692 0.895 1693 2.354 1694 1.272 1695 0.116 1696 0.375 1697 1.174 1698 0.496 1699 0.933 1700 0.761 1701 0.952 1702 0.85 1703 1.046 1704 1.127 1705 0.933 1706 0.742 1707 1.176 1708 0.826 1709 0.389 1710 0.569 1711 0.505 1712 0.833 1713 0.673 1714 1.088 1715 0.381 1716 1.376 1717 0.583 1718 0.861 1719 0.882 1720 1.215 1721 0.903 1722 0.862 1723 1.515 1724 0.461 1725 0.853 1726 0.869 1727 1.248 1728 1.004 1729 0.569 1730 0.256 1731 0.828 1732 1.286 1733 0.65 1734 0.602 1735 0.456 1736 0.883 1737 0.775 1738 0.453 1739 0.765 1740 0.232 1741 0.967 1742 0.634 1743 0.622 1744 0.298 1745 1.092 1746 0.514 1747 0.695 1748 0.817 1749 0.826 1750 0.943 1751 0.882 1752 1.308 1753 0.862 1754 1.035 1755 1.201 1756 0.834 1757 1.791 1758 1.282 1759 1.216 1760 0.821 1761 0.918 1762 0.385 1763 1.211 1764 1.113 1765 0.53 1766 1.039 1767 0.761 1768 0.688 1769 0.315 1770 0.975 1771 0.918 1772 0.788 1773 0.905 1774 0.668 1775 1.044 1776 0.676 1777 0.917 1778 1.145 1779 0.62 1780 0.441 1781 1.261 1782 1.273 1783 1.112 1784 1.178 1785 1.232 1786 0.918 1787 0.824 1788 0.591 1789 1.185 1790 0.541 1791 1.009 1792 1.247 1793 0.988 1794 0.332 1795 0.32 1796 0.722 1797 0.823 1798 1.142 1799 1.274 1800 1.085 1801 0.338 1802 1.089 1803 1.112 1804 1.189 1805 1.66 1806 1.056 1807 0.9 1808 1.311 1809 0.804 1810 0.965 1811 1.298 1812 0.821 1813 0.804 1814 0.583 1815 1.057 1816 1.174 1817 0.668 1818 0.259 1819 1.297 1820 1.124 1821 0.565 1822 0.255 1823 1.126 1824 1.134 1825 1.174 1826 1.265 1827 0.513 1828 1.169 1829 0.982 1830 0.956 1831 0.854 1832 1.104 1833 1.559 1834 0.939 1835 1.328 1836 1.412 1837 0.373 1838 1.04 1839 0.93 1840 1.17 1841 0.481 1842 1.606 1843 1.315 1844 1.234 1845 1.565 1846 1.386 1847 0.968 1848 1.02 1849 0.723 1850 1.17 1851 0.871 1852 0.623 1853 0.963 1854 1.317 1855 1.739 1856 1.398 1857 0.77 1858 2.016 1859 1.185 1860 0.939 1861 1.586 1862 0.755 1863 0.323 1864 0.878 1865 0.781 1866 1.03 1867 0.993 1868 0.775 1869 0.886 1870 1.327 1871 0.941 1872 0.871 1873 1.1 1874 0.628 1875 0.295 1876 0.78 1877 1.008 1878 0.731 1879 0.627 1880 1.032 1881 1.017 1882 0.79 1883 0.799 1884 0.613 1885 0.827 1886 0.535 1887 0.556 1888 0.885 1889 0.842 1890 0.959 1891 1.211 1892 0.36 1893 0.661 1894 0.997 1895 0.917 1896 0.48 1897 1.154 1898 1.169 1899 0.819 1900 0.664 1901 1.074 1902 1.314 1903 0.956 1904 0.827 1905 0.578 1906 0.867 1907 0.778 1908 1.117 1909 0.865 1910 0.78 1911 1.407 1912 1.343 1913 0.887 1914 1.416 1915 0.306 1916 0.949 1917 1.091 1918 0.818 1919 0.807 1920 0.998 1921 0.579 1922 1.02 1923 0.996 1924 0.812 1925 1.405 1926 1.031 1927 0.939 1928 1.008 1929 0.497 1930 1.222 1931 0.928 1932 0.944 1933 1.143 1934 0.775 1935 1.353 1936 1.456 1937 0.978 1938 1.025 1939 1.254 1940 1.153 1941 0.899 1942 1.438 1943 1.56 1944 1.598 1945 1.055 1946 0.579 1947 1.102 1948 1.094 1949 0.748 1950 0.776 1951 1.133 1952 1.05 1953 1.404 1954 0.698 1955 0.761 1956 1.749 1957 0.852 1958 1.034 1959 0.537 1960 1.186 1961 1.046 1962 0.631 1963 0.933 1964 1.047 1965 1.112 1966 1.365 1967 1.025 1968 1.218 1969 1.168 1970 1.09 1971 1.059 1972 0.56 1973 1.485 1974 1.481 1975 0.972 1976 1.259 1977 1.377 1978 0.498 1979 0.397 1980 0.895 1981 0.653 1982 0.544 1983 0.769 1984 0.43 1985 1.123 1986 0.832 1987 0.769 1988 0.862 1989 1.112 1990 0.595 1991 0.885