# northamerica_usa_ut023 - White Canyon - 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/3116 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ut023 - White Canyon - 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: White Canyon # Location: # Country: United States # Northernmost_Latitude: 37.62 # Southernmost_Latitude: 37.62 # Easternmost_Longitude: -110.02 # Westernmost_Longitude: -110.02 # Elevation: 1859 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ut023B # Earliest_Year: 1347 # Most_Recent_Year: 1972 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.31620232959","T2":"16.6326827413","M1":"0.0231304442493","M2":"0.418245388303"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1347 0.563 1348 0.632 1349 0.61 1350 0.596 1351 0.832 1352 0.933 1353 1.25 1354 0.928 1355 0.718 1356 1.267 1357 1.082 1358 1.02 1359 1.084 1360 1.167 1361 0.859 1362 0.895 1363 0.734 1364 1.11 1365 1.069 1366 1.59 1367 0.959 1368 1.334 1369 1.215 1370 1.318 1371 1.407 1372 1.308 1373 1.25 1374 1.244 1375 0.567 1376 0.67 1377 0.806 1378 0.733 1379 1.066 1380 1.511 1381 1.064 1382 0.81 1383 1.193 1384 0.981 1385 1.303 1386 1.511 1387 1.03 1388 1.112 1389 0.85 1390 0.729 1391 0.783 1392 1.469 1393 1.225 1394 1.248 1395 1.2 1396 0.819 1397 0.984 1398 0.826 1399 0.674 1400 0.933 1401 0.774 1402 0.833 1403 0.697 1404 1.195 1405 1.106 1406 1.118 1407 1.155 1408 0.793 1409 1.106 1410 1.015 1411 0.971 1412 0.993 1413 0.829 1414 1.05 1415 0.943 1416 1.047 1417 1.288 1418 1.435 1419 0.888 1420 1.08 1421 0.707 1422 1.037 1423 0.911 1424 1.262 1425 0.827 1426 0.853 1427 1.098 1428 1.058 1429 1.327 1430 1.101 1431 1.141 1432 1.353 1433 0.993 1434 0.978 1435 0.77 1436 1.093 1437 0.934 1438 0.702 1439 0.608 1440 0.867 1441 0.864 1442 0.685 1443 0.735 1444 0.808 1445 0.844 1446 0.436 1447 0.929 1448 0.642 1449 0.585 1450 0.429 1451 0.876 1452 0.742 1453 0.867 1454 0.845 1455 0.364 1456 0.532 1457 0.677 1458 0.856 1459 0.785 1460 0.671 1461 0.675 1462 0.977 1463 0.981 1464 0.521 1465 1.049 1466 1.12 1467 1.185 1468 1.007 1469 0.994 1470 1.138 1471 0.609 1472 0.551 1473 0.56 1474 0.937 1475 0.806 1476 1.103 1477 1.274 1478 1.149 1479 1.243 1480 0.661 1481 0.722 1482 1.031 1483 1.086 1484 1.473 1485 1.424 1486 1.368 1487 1.084 1488 0.958 1489 1.206 1490 1.084 1491 1.352 1492 1.122 1493 1.226 1494 0.946 1495 0.586 1496 0.54 1497 1.013 1498 1.088 1499 0.772 1500 0.383 1501 0.939 1502 0.836 1503 0.906 1504 1.226 1505 0.941 1506 0.822 1507 0.955 1508 0.932 1509 1.27 1510 0.695 1511 1.059 1512 0.989 1513 1.031 1514 1.107 1515 1.071 1516 1.205 1517 0.905 1518 0.955 1519 1.283 1520 1.217 1521 1.328 1522 0.559 1523 0.655 1524 0.983 1525 0.925 1526 1.195 1527 1.129 1528 1.182 1529 1.373 1530 1.234 1531 1.405 1532 0.361 1533 0.669 1534 0.878 1535 1.01 1536 1.246 1537 1.284 1538 0.659 1539 1.157 1540 1.3 1541 0.986 1542 0.365 1543 0.701 1544 0.696 1545 0.719 1546 0.884 1547 0.682 1548 0.83 1549 0.946 1550 1.409 1551 1.324 1552 1.168 1553 1.361 1554 1.017 1555 1.066 1556 1.247 1557 1.4 1558 1.093 1559 1.404 1560 1.484 1561 1.073 1562 1.057 1563 1.177 1564 1.658 1565 1.618 1566 1.686 1567 1.123 1568 1.444 1569 1.389 1570 1.241 1571 1.219 1572 0.921 1573 0.951 1574 0.936 1575 0.985 1576 0.953 1577 1.117 1578 1.12 1579 0.517 1580 0.643 1581 1.009 1582 0.814 1583 0.746 1584 0.448 1585 0.449 1586 1.192 1587 0.995 1588 1.701 1589 1.155 1590 0.502 1591 1.21 1592 0.828 1593 0.83 1594 1.578 1595 1.044 1596 1.109 1597 0.805 1598 0.865 1599 1.05 1600 0.325 1601 1.079 1602 1.151 1603 1.255 1604 1.104 1605 1.174 1606 1.214 1607 0.654 1608 1.326 1609 1.248 1610 1.349 1611 1.15 1612 1.316 1613 1.252 1614 1.185 1615 1.319 1616 1.577 1617 1.932 1618 1.869 1619 2.058 1620 1.874 1621 1.875 1622 1.511 1623 0.96 1624 0.442 1625 0.693 1626 0.498 1627 0.769 1628 0.746 1629 0.717 1630 0.755 1631 0.753 1632 0.403 1633 0.947 1634 0.989 1635 1 1636 0.836 1637 0.636 1638 0.622 1639 0.752 1640 1.075 1641 1.091 1642 1.122 1643 1.286 1644 1.114 1645 0.882 1646 1.306 1647 1.19 1648 0.469 1649 1.771 1650 1.083 1651 1.511 1652 0.768 1653 1.456 1654 0.244 1655 1.475 1656 1.311 1657 1.315 1658 1.076 1659 0.744 1660 1.131 1661 0.937 1662 0.971 1663 0.774 1664 0.84 1665 0.653 1666 0.87 1667 0.889 1668 0.882 1669 0.742 1670 0.389 1671 0.684 1672 0.924 1673 1.199 1674 1.174 1675 1.148 1676 0.787 1677 0.961 1678 1.31 1679 0.829 1680 1.164 1681 1.26 1682 1.446 1683 1.29 1684 0.836 1685 0.068 1686 0.417 1687 1.231 1688 1.007 1689 0.834 1690 0.751 1691 1.092 1692 1.16 1693 1.276 1694 0.997 1695 1.096 1696 0.775 1697 0.884 1698 0.456 1699 0.785 1700 0.702 1701 1.282 1702 0.965 1703 0.72 1704 0.801 1705 0.901 1706 1.251 1707 0.864 1708 0.978 1709 0.827 1710 1.135 1711 0.893 1712 0.978 1713 1.332 1714 1.186 1715 1.371 1716 1.033 1717 1.191 1718 1.317 1719 1.282 1720 1.694 1721 1.314 1722 0.678 1723 1.153 1724 0.571 1725 1.447 1726 1.287 1727 1.098 1728 0.552 1729 0.205 1730 0.472 1731 0.741 1732 0.754 1733 0.437 1734 1.087 1735 0.307 1736 0.805 1737 0.67 1738 0.907 1739 0.814 1740 0.587 1741 0.777 1742 0.706 1743 0.85 1744 0.981 1745 0.886 1746 1.111 1747 1.484 1748 0.654 1749 1.427 1750 1.061 1751 0.814 1752 0.412 1753 1.058 1754 0.629 1755 0.369 1756 0.763 1757 0.537 1758 0.701 1759 0.691 1760 0.734 1761 0.5 1762 0.769 1763 0.753 1764 0.832 1765 1.01 1766 1.113 1767 1.027 1768 1.332 1769 1.333 1770 0.995 1771 1.369 1772 0.938 1773 0.343 1774 0.695 1775 1.08 1776 1.026 1777 0.82 1778 0.908 1779 0.84 1780 0.231 1781 0.983 1782 0.799 1783 1.051 1784 0.769 1785 0.837 1786 0.751 1787 0.951 1788 0.578 1789 0.6 1790 0.302 1791 0.963 1792 0.988 1793 1.142 1794 0.787 1795 0.894 1796 1.146 1797 1.236 1798 1.071 1799 1.084 1800 1.194 1801 0.698 1802 1.261 1803 0.807 1804 0.837 1805 0.562 1806 0.575 1807 0.901 1808 0.714 1809 0.858 1810 0.505 1811 0.742 1812 0.827 1813 0.326 1814 0.785 1815 1.031 1816 1.172 1817 1.314 1818 0.645 1819 0.502 1820 0.725 1821 1.232 1822 0.882 1823 0.905 1824 1.132 1825 1.122 1826 1.231 1827 1.022 1828 1.271 1829 1.153 1830 1.148 1831 0.948 1832 1.446 1833 1.559 1834 1.291 1835 1.528 1836 1.332 1837 1.467 1838 1.412 1839 1.287 1840 1.506 1841 1.392 1842 1.327 1843 1.204 1844 1.474 1845 0.566 1846 1.519 1847 0.692 1848 1.312 1849 1.315 1850 1.306 1851 0.361 1852 1.514 1853 1.225 1854 1.112 1855 1.571 1856 1.476 1857 1.157 1858 1.631 1859 0.69 1860 1.088 1861 -0.031 1862 1.505 1863 1.164 1864 0.544 1865 1.062 1866 1.238 1867 1.22 1868 1.078 1869 1.399 1870 1.024 1871 1.055 1872 0.913 1873 0.824 1874 0.98 1875 0.758 1876 0.727 1877 1.099 1878 1.029 1879 0.947 1880 0.867 1881 0.844 1882 0.938 1883 0.697 1884 1.118 1885 1.067 1886 0.971 1887 0.757 1888 1.055 1889 1.067 1890 1.035 1891 1.06 1892 1.119 1893 0.805 1894 0.51 1895 0.835 1896 0.27 1897 1.002 1898 0.853 1899 0.184 1900 0.64 1901 0.792 1902 0.299 1903 0.724 1904 0.332 1905 0.825 1906 0.785 1907 0.95 1908 1.105 1909 1.254 1910 1.306 1911 1.318 1912 1.588 1913 1.189 1914 1.749 1915 1.676 1916 1.44 1917 1.793 1918 0.929 1919 1.251 1920 1.376 1921 1.12 1922 1.539 1923 0.801 1924 0.792 1925 0.931 1926 1.286 1927 1.025 1928 1.33 1929 1.221 1930 0.902 1931 0.703 1932 1.258 1933 1.045 1934 0.733 1935 0.935 1936 0.782 1937 1.022 1938 1.054 1939 1.097 1940 1.212 1941 1.454 1942 1.721 1943 1.023 1944 1.447 1945 1.137 1946 0.869 1947 0.79 1948 1.235 1949 1.505 1950 1.201 1951 0.226 1952 1.112 1953 0.693 1954 1.024 1955 0.791 1956 0.558 1957 0.834 1958 0.907 1959 0.202 1960 0.749 1961 0.66 1962 0.69 1963 0.612 1964 0.735 1965 0.857 1966 0.96 1967 0.805 1968 0.77 1969 0.915 1970 1.051 1971 0.597 1972 0.903