# northamerica_usa_ak020 - Cordova Eyak Mountain - 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/5239 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak020 - Cordova Eyak Mountain - 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: Cordova Eyak Mountain # Location: # Country: United States # Northernmost_Latitude: 60.6 # Southernmost_Latitude: 60.6 # Easternmost_Longitude: -145.67 # Westernmost_Longitude: -145.67 # Elevation: 430 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak020B # Earliest_Year: 1365 # Most_Recent_Year: 1992 # 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":"5.11091137863","T2":"18.4232561532","M1":"0.0224146308003","M2":"0.388097507672"}} #-------------------- # Species # Species_Name: mountain hemlock # Species_Code: TSME #-------------------- # 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 1365 1.123 1366 0.865 1367 1.422 1368 1.161 1369 1.536 1370 1.709 1371 2.144 1372 0.894 1373 1.053 1374 1.087 1375 1.113 1376 1.458 1377 1.355 1378 0.957 1379 1.043 1380 0.525 1381 0.287 1382 0.342 1383 0.435 1384 0.485 1385 0.717 1386 0.427 1387 0.385 1388 0.76 1389 1.802 1390 1.502 1391 0.925 1392 0.925 1393 0.724 1394 1.097 1395 0.908 1396 1.133 1397 1.249 1398 1.194 1399 1.1 1400 0.808 1401 0.438 1402 0.293 1403 0.278 1404 0.265 1405 0.375 1406 0.283 1407 0.267 1408 0.336 1409 0.313 1410 0.352 1411 0.606 1412 0.387 1413 0.328 1414 0.264 1415 0.313 1416 0.266 1417 0.287 1418 0.259 1419 0.338 1420 0.399 1421 0.356 1422 0.529 1423 0.593 1424 0.753 1425 0.704 1426 0.824 1427 1.119 1428 0.815 1429 1.41 1430 1.471 1431 1.849 1432 1.611 1433 1.799 1434 2.067 1435 2.327 1436 2.863 1437 3.021 1438 2.407 1439 2.125 1440 1.947 1441 1.486 1442 1.503 1443 0.613 1444 0.401 1445 0.567 1446 1.069 1447 1.927 1448 2.586 1449 2.555 1450 2.926 1451 1.652 1452 1.34 1453 1.259 1454 0.932 1455 0.864 1456 0.623 1457 0.499 1458 0.539 1459 0.329 1460 0.414 1461 0.551 1462 0.444 1463 0.786 1464 0.703 1465 0.728 1466 0.246 1467 0.286 1468 0.664 1469 0.343 1470 1.012 1471 1.104 1472 0.999 1473 1.764 1474 0.961 1475 1.286 1476 2.057 1477 1.322 1478 1.093 1479 0.936 1480 0.394 1481 0.446 1482 0.495 1483 0.559 1484 1.48 1485 1.054 1486 1.008 1487 0.692 1488 0.699 1489 0.511 1490 0.815 1491 0.633 1492 1.183 1493 0.752 1494 0.713 1495 0.399 1496 0.457 1497 0.697 1498 0.172 1499 0.617 1500 0.882 1501 0.751 1502 0.362 1503 0.44 1504 0.586 1505 0.485 1506 0.979 1507 1.323 1508 1.297 1509 0.759 1510 0.775 1511 0.995 1512 0.883 1513 0.82 1514 0.776 1515 0.738 1516 0.567 1517 1.126 1518 0.877 1519 1.151 1520 1.135 1521 1.054 1522 1.028 1523 1.33 1524 1.131 1525 0.986 1526 1.049 1527 0.976 1528 0.691 1529 0.856 1530 1.219 1531 1.129 1532 0.963 1533 1.117 1534 1.069 1535 1.573 1536 1.391 1537 1.401 1538 0.856 1539 1.276 1540 1.018 1541 1.047 1542 0.397 1543 0.425 1544 0.717 1545 0.982 1546 0.924 1547 0.858 1548 0.562 1549 0.65 1550 0.828 1551 1.131 1552 0.733 1553 1.035 1554 0.942 1555 0.909 1556 0.857 1557 0.406 1558 1.178 1559 1.333 1560 1.264 1561 1.061 1562 1.066 1563 0.687 1564 1.057 1565 1.232 1566 0.99 1567 0.42 1568 0.457 1569 0.303 1570 0.406 1571 0.329 1572 0.257 1573 0.645 1574 0.914 1575 1.589 1576 1.344 1577 1.192 1578 1.718 1579 0.933 1580 0.89 1581 0.938 1582 1.123 1583 0.958 1584 0.976 1585 0.392 1586 1.082 1587 0.921 1588 0.926 1589 1.434 1590 1.497 1591 1.838 1592 1.077 1593 1.077 1594 1.448 1595 1.379 1596 0.78 1597 1.822 1598 0.955 1599 0.978 1600 0.943 1601 0.953 1602 0.442 1603 1.097 1604 0.925 1605 0.685 1606 1.169 1607 1.64 1608 1.343 1609 1.069 1610 0.896 1611 1.056 1612 1.12 1613 0.564 1614 0.798 1615 0.614 1616 0.953 1617 1.225 1618 0.936 1619 1.278 1620 0.549 1621 0.694 1622 0.977 1623 0.646 1624 0.558 1625 0.469 1626 0.392 1627 0.636 1628 0.939 1629 0.764 1630 0.842 1631 0.715 1632 1.597 1633 0.97 1634 1.224 1635 1.529 1636 0.873 1637 0.794 1638 0.607 1639 0.13 1640 0.759 1641 0.686 1642 0.775 1643 1.023 1644 0.782 1645 1.011 1646 0.827 1647 1.057 1648 1.054 1649 0.721 1650 1.104 1651 1.675 1652 1.068 1653 1.028 1654 0.62 1655 0.833 1656 0.922 1657 1.209 1658 1.074 1659 0.954 1660 0.836 1661 0.677 1662 0.578 1663 0.478 1664 0.48 1665 0.678 1666 0.872 1667 1.158 1668 1.253 1669 1.039 1670 1.396 1671 1.762 1672 1.268 1673 1.074 1674 0.8 1675 1.133 1676 0.611 1677 0.352 1678 0.465 1679 0.123 1680 0.465 1681 0.633 1682 1.104 1683 1.763 1684 1.386 1685 1.736 1686 1.503 1687 1.523 1688 1.462 1689 1.241 1690 1.264 1691 0.849 1692 1.467 1693 1.522 1694 1.716 1695 1.481 1696 1.133 1697 0.711 1698 0.346 1699 0.223 1700 0.595 1701 1.136 1702 1.13 1703 1.453 1704 1.124 1705 1.232 1706 0.626 1707 0.917 1708 0.713 1709 0.909 1710 0.55 1711 0.571 1712 1.238 1713 1.228 1714 0.887 1715 1.201 1716 0.226 1717 0.541 1718 1.086 1719 1.503 1720 1.483 1721 1.536 1722 1.472 1723 1.755 1724 1.402 1725 1.369 1726 0.919 1727 0.859 1728 1.295 1729 1.324 1730 1.076 1731 0.908 1732 1.187 1733 1.486 1734 0.895 1735 0.789 1736 0.586 1737 0.985 1738 0.565 1739 1.056 1740 0.789 1741 1.121 1742 1.2 1743 1.364 1744 0.473 1745 0.967 1746 0.393 1747 0.971 1748 0.898 1749 1.366 1750 1.729 1751 1.373 1752 1.047 1753 0.911 1754 0.414 1755 0.358 1756 0.201 1757 0.513 1758 0.892 1759 0.884 1760 1.185 1761 1.607 1762 1.564 1763 1.681 1764 0.749 1765 1.364 1766 1.132 1767 1.87 1768 1.081 1769 1.182 1770 1.202 1771 1.155 1772 1.414 1773 1.28 1774 1.841 1775 1.233 1776 0.987 1777 0.903 1778 0.531 1779 0.923 1780 1.423 1781 1.105 1782 1.141 1783 1.213 1784 1.294 1785 1.586 1786 1.262 1787 1.084 1788 1.206 1789 0.956 1790 0.544 1791 1.001 1792 1.423 1793 1.154 1794 1.162 1795 1.851 1796 1.071 1797 1.728 1798 0.955 1799 1.036 1800 0.514 1801 0.789 1802 0.828 1803 0.915 1804 1.058 1805 1.166 1806 0.898 1807 0.563 1808 0.943 1809 0.508 1810 0.393 1811 0.445 1812 0.638 1813 0.599 1814 0.402 1815 0.798 1816 1.188 1817 1.109 1818 1.16 1819 1.231 1820 1.159 1821 1.003 1822 1.103 1823 1.025 1824 0.934 1825 1.382 1826 1.061 1827 0.603 1828 1.287 1829 1.525 1830 1.005 1831 0.76 1832 1.368 1833 1.432 1834 1.106 1835 1.298 1836 1.186 1837 0.843 1838 1.452 1839 1.464 1840 1.697 1841 1.745 1842 0.947 1843 1.023 1844 1.308 1845 0.877 1846 0.912 1847 0.666 1848 0.928 1849 0.565 1850 0.512 1851 0.718 1852 0.585 1853 0.47 1854 0.369 1855 0.428 1856 0.308 1857 0.853 1858 0.938 1859 0.594 1860 0.519 1861 0.765 1862 0.393 1863 0.285 1864 0.524 1865 0.59 1866 0.831 1867 1.251 1868 1.051 1869 0.742 1870 1.251 1871 0.469 1872 1.213 1873 1.088 1874 1.109 1875 0.89 1876 0.447 1877 0.343 1878 0.494 1879 0.352 1880 0.396 1881 0.79 1882 0.806 1883 0.777 1884 1.531 1885 1.175 1886 1.012 1887 0.484 1888 0.914 1889 0.914 1890 0.738 1891 0.402 1892 1.206 1893 0.869 1894 0.332 1895 0.483 1896 0.725 1897 0.693 1898 0.758 1899 0.731 1900 0.949 1901 1.151 1902 1.353 1903 0.698 1904 0.438 1905 1.282 1906 1.105 1907 0.888 1908 0.463 1909 0.97 1910 0.4 1911 1.063 1912 0.997 1913 0.955 1914 1.347 1915 2.337 1916 1.439 1917 1.051 1918 1.36 1919 0.93 1920 1.142 1921 1.515 1922 1.126 1923 1.513 1924 1.598 1925 1.254 1926 1.942 1927 1.23 1928 1.041 1929 1.068 1930 1.438 1931 1.106 1932 0.865 1933 1.039 1934 0.817 1935 1.303 1936 1.243 1937 0.787 1938 0.657 1939 0.681 1940 0.849 1941 1.174 1942 1.367 1943 1.325 1944 0.944 1945 0.978 1946 0.941 1947 0.937 1948 0.915 1949 0.618 1950 0.933 1951 0.762 1952 0.426 1953 1.132 1954 0.882 1955 0.548 1956 0.43 1957 1.34 1958 0.921 1959 0.917 1960 0.94 1961 1.056 1962 0.963 1963 1.514 1964 0.95 1965 0.915 1966 1.028 1967 0.764 1968 1.068 1969 1.137 1970 0.705 1971 0.824 1972 0.635 1973 0.166 1974 0.633 1975 0.58 1976 0.601 1977 0.894 1978 0.581 1979 0.74 1980 0.905 1981 1.064 1982 0.847 1983 0.915 1984 1.317 1985 1.118 1986 1.137 1987 0.604 1988 0.853 1989 0.753 1990 0.784 1991 0.921 1992 1.048