# northamerica_usa_co589 - Almont Triangle - 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/5280 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co589 - Almont Triangle - 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: Almont Triangle # Location: # Country: United States # Northernmost_Latitude: 38.73 # Southernmost_Latitude: 38.73 # Easternmost_Longitude: -106.8 # Westernmost_Longitude: -106.8 # Elevation: 2926 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co589B # Earliest_Year: 1319 # Most_Recent_Year: 1999 # 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":"3.79451570167","T2":"11.923734164","M1":"0.0231487739773","M2":"0.593410398137"}} #-------------------- # 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 1319 0.941 1320 0.879 1321 1.107 1322 0.909 1323 1.478 1324 0.892 1325 1.355 1326 1.141 1327 0.893 1328 0.815 1329 0.603 1330 1.126 1331 1.057 1332 0.973 1333 1.477 1334 1.005 1335 1.346 1336 0.742 1337 1.604 1338 0.962 1339 0.814 1340 0.685 1341 0.746 1342 0.69 1343 1.017 1344 0.966 1345 0.759 1346 0.897 1347 1.018 1348 1.002 1349 0.643 1350 0.963 1351 1.258 1352 1.421 1353 1.27 1354 1.07 1355 0.688 1356 1.133 1357 1.136 1358 0.543 1359 0.647 1360 0.526 1361 0.684 1362 0.307 1363 0.566 1364 0.351 1365 0.655 1366 0.987 1367 0.672 1368 0.656 1369 0.683 1370 0.844 1371 1.161 1372 1.421 1373 1.448 1374 0.799 1375 0.526 1376 0.371 1377 0.806 1378 0.731 1379 0.685 1380 1.124 1381 0.893 1382 1.091 1383 1.261 1384 1.128 1385 1.203 1386 1.312 1387 1.548 1388 0.987 1389 0.85 1390 0.859 1391 1.136 1392 1.308 1393 0.899 1394 1.704 1395 1.957 1396 1.706 1397 0.483 1398 0.787 1399 0.764 1400 0.334 1401 1.004 1402 0.675 1403 0.637 1404 1.375 1405 0.807 1406 1.423 1407 1.225 1408 0.829 1409 0.986 1410 1.266 1411 1.107 1412 1.555 1413 0.415 1414 1.418 1415 0.771 1416 0.734 1417 0.556 1418 0.924 1419 0.969 1420 1.063 1421 1.006 1422 0.826 1423 0.574 1424 1.301 1425 1.294 1426 1.415 1427 0.912 1428 1.053 1429 1.051 1430 1.828 1431 1.367 1432 0.99 1433 0.835 1434 1.516 1435 1.49 1436 1.264 1437 1.105 1438 0.722 1439 0.635 1440 0.943 1441 0.922 1442 0.703 1443 0.844 1444 0.267 1445 0.547 1446 0.743 1447 0.898 1448 1.249 1449 1.131 1450 1.304 1451 1.363 1452 0.972 1453 0.745 1454 0.738 1455 0.71 1456 0.514 1457 0.831 1458 0.975 1459 0.66 1460 0.832 1461 0.774 1462 1.229 1463 0.847 1464 1.108 1465 0.822 1466 0.958 1467 0.991 1468 1.228 1469 1.094 1470 1.159 1471 1.005 1472 1.358 1473 1.101 1474 1.258 1475 0.538 1476 0.916 1477 1.357 1478 1.052 1479 0.911 1480 0.713 1481 0.991 1482 0.759 1483 0.688 1484 1.401 1485 1.497 1486 1.428 1487 1.829 1488 0.999 1489 1.042 1490 1.725 1491 1.967 1492 1.65 1493 1.23 1494 1.813 1495 0.771 1496 0.316 1497 1.151 1498 1.618 1499 0.603 1500 0.049 1501 1.304 1502 1.279 1503 0.868 1504 1.323 1505 0.63 1506 0.101 1507 0.947 1508 0.812 1509 0.874 1510 0.881 1511 0.806 1512 0.894 1513 0.998 1514 1.237 1515 0.56 1516 0.765 1517 0.917 1518 1.072 1519 1.221 1520 0.867 1521 1.911 1522 1.085 1523 1.017 1524 0.989 1525 0.868 1526 1.118 1527 1.308 1528 0.63 1529 0.862 1530 1.019 1531 0.552 1532 0.287 1533 1.17 1534 0.881 1535 1.049 1536 1.22 1537 1.122 1538 0.637 1539 1.097 1540 1.339 1541 0.928 1542 1.045 1543 0.923 1544 1.025 1545 0.48 1546 0.985 1547 0.825 1548 1.291 1549 1.912 1550 1.382 1551 0.755 1552 1.212 1553 1.316 1554 1.455 1555 1.883 1556 2.407 1557 1.496 1558 0.788 1559 0.772 1560 1.115 1561 1.079 1562 1.079 1563 1.163 1564 1.856 1565 1.189 1566 0.946 1567 0.99 1568 1.314 1569 1.24 1570 1.766 1571 1.176 1572 1.029 1573 0.732 1574 0.545 1575 0.756 1576 0.773 1577 1.121 1578 1.271 1579 1.016 1580 0.109 1581 0.377 1582 0.781 1583 0.716 1584 0.251 1585 0.5 1586 0.633 1587 0.564 1588 0.825 1589 1.044 1590 0.472 1591 0.816 1592 0.567 1593 0.677 1594 1.029 1595 0.838 1596 0.676 1597 0.716 1598 0.312 1599 1.125 1600 0.239 1601 1.31 1602 1.131 1603 1.116 1604 1.205 1605 0.903 1606 1.122 1607 0.393 1608 1.402 1609 0.937 1610 1.204 1611 1.103 1612 0.815 1613 1.172 1614 1.206 1615 1.379 1616 1.283 1617 1.457 1618 1.298 1619 1.279 1620 1.456 1621 1.854 1622 0.674 1623 0.906 1624 0.649 1625 0.314 1626 1.157 1627 1.246 1628 1.058 1629 0.867 1630 1.491 1631 0.832 1632 0.732 1633 1.339 1634 1.036 1635 0.828 1636 0.781 1637 1.09 1638 0.656 1639 0.943 1640 1.075 1641 0.785 1642 1.109 1643 0.751 1644 0.93 1645 0.465 1646 0.957 1647 1.115 1648 1.041 1649 1.079 1650 1.26 1651 1.461 1652 0.359 1653 0.953 1654 0.165 1655 1.696 1656 1.035 1657 1.75 1658 0.691 1659 1.104 1660 1.1 1661 1.258 1662 1.078 1663 1.026 1664 0.323 1665 1.043 1666 0.568 1667 0.524 1668 0.047 1669 0.922 1670 0.588 1671 0.375 1672 0.933 1673 0.771 1674 0.958 1675 0.593 1676 0.702 1677 0.935 1678 2.099 1679 1.397 1680 0.956 1681 0.841 1682 0.663 1683 1.103 1684 0.696 1685 -0.014 1686 0.936 1687 0.589 1688 0.933 1689 1.299 1690 1.195 1691 0.606 1692 0.55 1693 0.87 1694 0.419 1695 0.624 1696 0.87 1697 0.784 1698 1.268 1699 1.112 1700 0.87 1701 1.636 1702 1.046 1703 0.732 1704 0.715 1705 0.896 1706 1.014 1707 0.713 1708 1.024 1709 0.779 1710 1.26 1711 1.146 1712 1.117 1713 0.874 1714 0.453 1715 0.956 1716 1.121 1717 1.14 1718 0.952 1719 1.319 1720 1.462 1721 0.657 1722 1.094 1723 0.797 1724 0.412 1725 1.425 1726 1.77 1727 1.138 1728 1.183 1729 0.139 1730 1.423 1731 0.652 1732 0.941 1733 0.844 1734 1.163 1735 0.99 1736 1.296 1737 0.676 1738 1.405 1739 1.221 1740 0.57 1741 1.198 1742 0.955 1743 1.299 1744 1.235 1745 1.059 1746 0.92 1747 1.28 1748 0.91 1749 1.063 1750 0.697 1751 0.942 1752 0.921 1753 1.313 1754 0.994 1755 0.934 1756 0.131 1757 1.408 1758 1.106 1759 0.925 1760 0.996 1761 1.023 1762 1.381 1763 0.86 1764 1.039 1765 1.109 1766 1.619 1767 0.788 1768 0.752 1769 0.878 1770 0.77 1771 1.308 1772 1.023 1773 0.571 1774 0.783 1775 0.649 1776 0.506 1777 0.127 1778 0.731 1779 0.484 1780 0.525 1781 0.772 1782 0.658 1783 1.065 1784 0.985 1785 1.193 1786 0.659 1787 1.455 1788 0.837 1789 0.915 1790 1.541 1791 1.436 1792 1.646 1793 1.192 1794 1.185 1795 0.474 1796 1.048 1797 1.303 1798 0.2 1799 1.044 1800 1.011 1801 1.101 1802 0.98 1803 0.771 1804 0.667 1805 0.717 1806 0.251 1807 0.867 1808 0.911 1809 0.747 1810 0.793 1811 0.918 1812 1.235 1813 1.382 1814 0.722 1815 0.913 1816 1.144 1817 1.337 1818 0.777 1819 1.05 1820 1.071 1821 1.324 1822 1.309 1823 1.4 1824 0.401 1825 0.917 1826 0.963 1827 0.953 1828 1.219 1829 0.867 1830 1.143 1831 1.57 1832 1.159 1833 0.928 1834 0.451 1835 1.032 1836 0.723 1837 1.141 1838 1.117 1839 1.053 1840 1.226 1841 1.18 1842 0.497 1843 1.152 1844 0.45 1845 0.23 1846 0.779 1847 0.115 1848 1.006 1849 0.856 1850 0.949 1851 -0.008 1852 0.977 1853 1.333 1854 1.296 1855 0.937 1856 1.004 1857 0.921 1858 1.182 1859 0.751 1860 0.936 1861 1.057 1862 1.508 1863 1.386 1864 1.69 1865 1.541 1866 1.733 1867 1.644 1868 0.795 1869 1.612 1870 1.21 1871 0.665 1872 1.251 1873 1.201 1874 0.654 1875 1.176 1876 1.131 1877 1.236 1878 0.508 1879 0.593 1880 0.243 1881 0.713 1882 0.803 1883 1.136 1884 1.12 1885 1.139 1886 0.853 1887 0.729 1888 0.9 1889 0.572 1890 0.679 1891 0.919 1892 1.018 1893 0.701 1894 0.912 1895 1.079 1896 0.213 1897 1.225 1898 0.788 1899 0.485 1900 0.96 1901 0.528 1902 0.166 1903 0.912 1904 0.515 1905 0.826 1906 0.703 1907 1.29 1908 0.748 1909 0.686 1910 0.958 1911 1.281 1912 1.605 1913 1.003 1914 1.185 1915 1.174 1916 1.251 1917 1.425 1918 1.325 1919 1.125 1920 1.289 1921 1.462 1922 1.15 1923 1.262 1924 1.454 1925 0.773 1926 1.383 1927 1.065 1928 1.251 1929 0.908 1930 1.585 1931 0.392 1932 1.035 1933 1.152 1934 0.266 1935 1.049 1936 1.008 1937 1.158 1938 1.115 1939 0.817 1940 0.63 1941 1.063 1942 1.128 1943 0.81 1944 0.897 1945 0.427 1946 0.66 1947 1.431 1948 1.159 1949 1.252 1950 0.656 1951 1.06 1952 0.826 1953 1.203 1954 0.343 1955 0.876 1956 0.953 1957 1.068 1958 1.341 1959 0.274 1960 1.209 1961 0.592 1962 1.055 1963 0.691 1964 0.831 1965 1.615 1966 1.468 1967 0.65 1968 0.838 1969 1.492 1970 1.603 1971 1.252 1972 1.13 1973 1.283 1974 1.143 1975 1.348 1976 0.854 1977 0.055 1978 1.202 1979 1.021 1980 0.951 1981 0.49 1982 1.034 1983 1.001 1984 1.252 1985 1.564 1986 1.685 1987 1.904 1988 0.931 1989 0.986 1990 0.965 1991 1.676 1992 0.733 1993 1.455 1994 0.914 1995 1.555 1996 1.2 1997 1.493 1998 0.658 1999 1.4