# northamerica_usa_pa013 - Tionesta Natural Area - 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/3036 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_pa013 - Tionesta Natural Area - 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: Tionesta Natural Area # Location: # Country: United States # Northernmost_Latitude: 41.75 # Southernmost_Latitude: 41.75 # Easternmost_Longitude: -78.97 # Westernmost_Longitude: -78.97 # Elevation: 700 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_pa013B # Earliest_Year: 1425 # Most_Recent_Year: 1978 # 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":"4.45615867229","T2":"15.7938576625","M1":"0.0225960244957","M2":"0.507039106779"}} #-------------------- # Species # Species_Name: eastern hemlock # Species_Code: TSCA #-------------------- # 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 1425 0.767 1426 0.734 1427 0.788 1428 0.998 1429 0.954 1430 1.027 1431 0.852 1432 1.148 1433 1.319 1434 1.227 1435 1.278 1436 1.445 1437 1.351 1438 1.427 1439 1.247 1440 1.253 1441 0.969 1442 0.91 1443 0.903 1444 1.108 1445 1.013 1446 1.03 1447 0.979 1448 0.826 1449 0.871 1450 1.463 1451 1.33 1452 0.792 1453 0.972 1454 0.797 1455 0.99 1456 0.961 1457 1.004 1458 0.965 1459 0.915 1460 0.879 1461 0.591 1462 1.14 1463 0.914 1464 1.191 1465 1.477 1466 1.615 1467 1.431 1468 0.785 1469 1.136 1470 1.022 1471 0.793 1472 0.793 1473 0.648 1474 0.723 1475 1.218 1476 1.944 1477 0.97 1478 1.154 1479 1.314 1480 1.351 1481 0.881 1482 1.195 1483 1.11 1484 1.142 1485 0.705 1486 0.636 1487 0.85 1488 0.717 1489 0.768 1490 0.806 1491 0.77 1492 0.922 1493 0.822 1494 0.735 1495 0.699 1496 0.753 1497 0.572 1498 1.176 1499 0.78 1500 1.068 1501 1.276 1502 1.022 1503 0.799 1504 0.878 1505 0.806 1506 0.851 1507 1.142 1508 0.942 1509 0.763 1510 0.766 1511 0.89 1512 0.959 1513 1.106 1514 1.133 1515 1.002 1516 1.288 1517 0.827 1518 0.824 1519 0.724 1520 1.006 1521 0.934 1522 0.989 1523 0.833 1524 0.534 1525 0.829 1526 0.871 1527 1.442 1528 0.827 1529 0.576 1530 0.661 1531 0.857 1532 0.698 1533 0.741 1534 0.712 1535 0.747 1536 0.904 1537 0.612 1538 0.647 1539 0.848 1540 0.974 1541 1.182 1542 1.016 1543 0.836 1544 0.881 1545 0.553 1546 1.246 1547 0.899 1548 1.186 1549 1.166 1550 0.899 1551 0.839 1552 1.016 1553 1.096 1554 0.704 1555 0.876 1556 0.646 1557 0.758 1558 0.821 1559 0.617 1560 0.61 1561 0.498 1562 0.752 1563 0.809 1564 0.552 1565 0.589 1566 0.539 1567 0.797 1568 0.621 1569 0.583 1570 0.718 1571 0.696 1572 0.762 1573 0.641 1574 0.797 1575 0.755 1576 0.807 1577 0.741 1578 0.828 1579 0.571 1580 0.737 1581 0.663 1582 0.727 1583 0.651 1584 0.666 1585 0.896 1586 0.803 1587 0.601 1588 0.778 1589 0.752 1590 0.688 1591 0.663 1592 0.656 1593 0.948 1594 0.963 1595 0.888 1596 0.871 1597 0.656 1598 0.77 1599 0.791 1600 0.834 1601 0.898 1602 0.959 1603 0.939 1604 0.879 1605 0.817 1606 0.666 1607 0.89 1608 0.767 1609 0.963 1610 1.085 1611 1.005 1612 1.055 1613 1.1 1614 0.983 1615 1.098 1616 1.122 1617 1.073 1618 0.752 1619 1.016 1620 0.723 1621 0.966 1622 1.095 1623 1.135 1624 0.848 1625 0.814 1626 0.948 1627 1.154 1628 1.253 1629 1.066 1630 1.059 1631 0.874 1632 0.752 1633 0.959 1634 1.102 1635 0.924 1636 0.928 1637 1.124 1638 1.047 1639 1.006 1640 1.101 1641 1.139 1642 0.96 1643 1.225 1644 1.268 1645 1.02 1646 0.939 1647 1.148 1648 1.013 1649 0.774 1650 0.82 1651 1.185 1652 1.332 1653 1.22 1654 1.046 1655 0.973 1656 1.47 1657 1.314 1658 1.188 1659 1.305 1660 1.265 1661 1.395 1662 1.291 1663 1.073 1664 1.106 1665 1.101 1666 1.075 1667 1.333 1668 1.299 1669 1.277 1670 1.093 1671 1.106 1672 1.095 1673 1.338 1674 1.315 1675 1.137 1676 1.271 1677 1.29 1678 1.243 1679 1.355 1680 1.468 1681 0.908 1682 0.877 1683 1.003 1684 1.152 1685 1.092 1686 1.084 1687 1.047 1688 1.037 1689 0.929 1690 0.817 1691 0.689 1692 0.817 1693 1.049 1694 0.711 1695 1.029 1696 0.957 1697 1.108 1698 1.166 1699 0.881 1700 0.795 1701 0.922 1702 0.918 1703 0.803 1704 0.689 1705 0.916 1706 1.098 1707 0.978 1708 1.247 1709 0.943 1710 0.925 1711 1.016 1712 1.064 1713 1.097 1714 1.221 1715 1.085 1716 1.118 1717 1.023 1718 1.166 1719 1.073 1720 0.894 1721 1.131 1722 0.955 1723 0.962 1724 0.885 1725 1.137 1726 0.938 1727 1.099 1728 0.913 1729 0.88 1730 1.468 1731 1.5 1732 1.332 1733 1.154 1734 1.15 1735 1.039 1736 0.905 1737 0.933 1738 0.99 1739 1.008 1740 1.093 1741 0.845 1742 0.92 1743 1.045 1744 0.97 1745 1.102 1746 0.94 1747 0.91 1748 1.02 1749 0.833 1750 0.958 1751 0.877 1752 0.92 1753 0.779 1754 0.958 1755 1.058 1756 1.027 1757 0.977 1758 0.788 1759 0.975 1760 1.054 1761 1.093 1762 1.21 1763 1.124 1764 1.224 1765 0.956 1766 0.816 1767 0.902 1768 1.026 1769 1.282 1770 0.794 1771 0.762 1772 0.765 1773 0.818 1774 0.731 1775 0.994 1776 1.002 1777 1.097 1778 1.192 1779 0.989 1780 0.986 1781 0.861 1782 1.091 1783 0.797 1784 0.777 1785 0.773 1786 1.094 1787 1.091 1788 1.033 1789 1.183 1790 1.029 1791 1.306 1792 1.069 1793 1.046 1794 0.977 1795 0.853 1796 0.861 1797 1.027 1798 1.144 1799 1.081 1800 1.087 1801 1.086 1802 1.102 1803 1.256 1804 1.023 1805 1.202 1806 0.881 1807 0.834 1808 1.076 1809 0.765 1810 0.569 1811 0.806 1812 0.855 1813 1.031 1814 0.976 1815 1.275 1816 1.126 1817 1.159 1818 1.209 1819 0.626 1820 0.597 1821 0.727 1822 0.651 1823 0.633 1824 0.879 1825 1.036 1826 1.087 1827 1.2 1828 1.281 1829 1.209 1830 1.332 1831 1.384 1832 1.281 1833 1.116 1834 1.213 1835 1.308 1836 1.271 1837 1.089 1838 1.548 1839 0.794 1840 1.064 1841 1.024 1842 0.982 1843 1.082 1844 0.704 1845 0.884 1846 0.871 1847 0.987 1848 0.948 1849 0.905 1850 1.047 1851 1.187 1852 1.13 1853 0.787 1854 0.783 1855 0.652 1856 0.777 1857 0.739 1858 0.884 1859 1.281 1860 1.095 1861 1.246 1862 1.121 1863 1.094 1864 1.222 1865 0.907 1866 0.927 1867 0.925 1868 0.862 1869 0.667 1870 0.863 1871 0.818 1872 0.932 1873 0.764 1874 0.859 1875 1.01 1876 1.09 1877 0.922 1878 1.037 1879 0.87 1880 0.899 1881 0.72 1882 0.867 1883 1.126 1884 1.119 1885 0.743 1886 0.837 1887 0.76 1888 0.706 1889 1.007 1890 1.071 1891 0.933 1892 0.865 1893 1.002 1894 1.202 1895 0.676 1896 0.823 1897 1.117 1898 1.271 1899 1.11 1900 1.069 1901 1.031 1902 1.096 1903 1.396 1904 0.904 1905 1.163 1906 1.187 1907 1.159 1908 1.162 1909 0.882 1910 0.821 1911 0.515 1912 0.715 1913 1.083 1914 0.875 1915 0.825 1916 0.988 1917 0.841 1918 0.538 1919 0.886 1920 0.647 1921 0.95 1922 0.876 1923 0.824 1924 0.79 1925 1.301 1926 0.976 1927 0.85 1928 1.172 1929 1.128 1930 1.086 1931 0.857 1932 0.888 1933 1.028 1934 0.711 1935 0.892 1936 0.739 1937 0.716 1938 0.725 1939 0.994 1940 0.886 1941 1.166 1942 0.984 1943 1.19 1944 1.012 1945 1.158 1946 1.482 1947 1.159 1948 1.352 1949 1.121 1950 1.033 1951 1.15 1952 0.981 1953 0.782 1954 0.883 1955 0.971 1956 1.007 1957 1.22 1958 0.936 1959 1.159 1960 0.609 1961 0.958 1962 0.845 1963 0.887 1964 0.811 1965 0.778 1966 0.77 1967 0.647 1968 0.661 1969 0.615 1970 0.748 1971 1.008 1972 0.78 1973 0.934 1974 0.865 1975 0.881 1976 0.982 1977 0.847 1978 0.641