# northamerica_usa_co597 - Dillon - 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/5295 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co597 - Dillon - 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: Dillon # Location: # Country: United States # Northernmost_Latitude: 39.6 # Southernmost_Latitude: 39.6 # Easternmost_Longitude: -105.9 # Westernmost_Longitude: -105.9 # Elevation: 2880 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co597B # Earliest_Year: 1372 # Most_Recent_Year: 2002 # 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":"1.9773974463","T2":"11.31158209","M1":"0.0248766178003","M2":"0.626493531825"}} #-------------------- # 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 1372 1.698 1373 0.945 1374 0.66 1375 0.461 1376 0.849 1377 0.965 1378 0.773 1379 0.926 1380 0.646 1381 1.209 1382 0.928 1383 0.894 1384 0.97 1385 1.107 1386 0.757 1387 0.925 1388 0.615 1389 0.982 1390 0.635 1391 0.928 1392 1.096 1393 1.049 1394 1.208 1395 1.543 1396 1.302 1397 0.77 1398 0.762 1399 0.583 1400 0.703 1401 1.013 1402 1.288 1403 1.232 1404 1.304 1405 0.743 1406 1.002 1407 0.901 1408 0.898 1409 1.12 1410 1.362 1411 1.35 1412 1.36 1413 0.573 1414 0.876 1415 0.641 1416 0.577 1417 0.608 1418 0.617 1419 0.756 1420 0.938 1421 0.95 1422 0.869 1423 0.558 1424 0.888 1425 1.227 1426 1.338 1427 0.834 1428 0.977 1429 1.008 1430 0.985 1431 0.962 1432 1.128 1433 1.125 1434 1.545 1435 1.582 1436 0.957 1437 0.816 1438 0.943 1439 0.806 1440 1.207 1441 1.157 1442 0.713 1443 1.486 1444 0.825 1445 0.565 1446 0.95 1447 0.827 1448 0.915 1449 0.983 1450 0.862 1451 0.882 1452 1.17 1453 0.694 1454 0.715 1455 0.786 1456 0.989 1457 0.95 1458 0.86 1459 0.678 1460 1.108 1461 1.157 1462 1.075 1463 1.089 1464 0.924 1465 0.954 1466 0.878 1467 1.192 1468 1.247 1469 1.228 1470 1.157 1471 1.082 1472 0.778 1473 0.861 1474 0.443 1475 0.434 1476 0.644 1477 0.915 1478 0.931 1479 0.883 1480 0.733 1481 0.94 1482 1.023 1483 0.791 1484 1.674 1485 1.768 1486 1.871 1487 1.974 1488 1.094 1489 0.912 1490 1.359 1491 1.206 1492 0.911 1493 0.753 1494 0.929 1495 0.453 1496 0.393 1497 0.744 1498 1.244 1499 0.664 1500 0.85 1501 0.647 1502 1.018 1503 0.772 1504 0.928 1505 0.857 1506 0.456 1507 1.111 1508 0.773 1509 0.817 1510 0.813 1511 1.013 1512 1.177 1513 1.345 1514 1.231 1515 0.724 1516 1.287 1517 1.024 1518 1.073 1519 1.611 1520 1.133 1521 1.736 1522 1.33 1523 1.38 1524 1.226 1525 1.329 1526 1.476 1527 1.279 1528 0.689 1529 1.47 1530 1.36 1531 0.466 1532 0.589 1533 0.993 1534 1.171 1535 1.504 1536 1.373 1537 1.386 1538 0.827 1539 1.235 1540 1.196 1541 0.735 1542 0.303 1543 0.761 1544 0.741 1545 0.248 1546 0.91 1547 0.778 1548 0.614 1549 1.236 1550 1.182 1551 0.913 1552 1.066 1553 1.53 1554 1.122 1555 1.917 1556 1.797 1557 1.486 1558 0.864 1559 0.426 1560 1.064 1561 1.068 1562 1.077 1563 0.689 1564 1.185 1565 1.275 1566 0.739 1567 0.695 1568 1.373 1569 1.14 1570 1.353 1571 1.268 1572 1.624 1573 1.306 1574 1.257 1575 0.538 1576 0.85 1577 0.887 1578 1.249 1579 1.176 1580 0.469 1581 0.46 1582 0.842 1583 1.052 1584 0.191 1585 0.543 1586 0.897 1587 0.613 1588 0.811 1589 0.858 1590 0.704 1591 0.898 1592 0.693 1593 0.52 1594 1.077 1595 1.128 1596 1.028 1597 0.952 1598 0.433 1599 0.892 1600 0.299 1601 0.75 1602 1.091 1603 1.288 1604 1.125 1605 1.511 1606 1.173 1607 0.803 1608 1.332 1609 0.335 1610 1.506 1611 1.39 1612 0.712 1613 1.134 1614 1.159 1615 1.46 1616 0.978 1617 1.477 1618 0.87 1619 1.136 1620 0.596 1621 1.776 1622 0.62 1623 1.068 1624 0.618 1625 0.33 1626 0.539 1627 0.464 1628 0.987 1629 1.017 1630 0.662 1631 0.456 1632 0.544 1633 1.092 1634 0.662 1635 0.533 1636 0.689 1637 0.774 1638 0.719 1639 0.806 1640 0.838 1641 0.391 1642 0.562 1643 0.32 1644 0.256 1645 0.455 1646 0.215 1647 0.666 1648 0.59 1649 0.843 1650 0.749 1651 0.837 1652 0.363 1653 0.297 1654 0.094 1655 0.711 1656 0.444 1657 1.292 1658 1.007 1659 1.058 1660 1.016 1661 1.319 1662 0.792 1663 0.968 1664 0.507 1665 0.618 1666 0.45 1667 0.772 1668 0.362 1669 0.445 1670 0.518 1671 0.365 1672 0.735 1673 1.137 1674 0.908 1675 0.5 1676 1.233 1677 0.784 1678 1.421 1679 1.22 1680 1.594 1681 1.081 1682 1.556 1683 1.186 1684 0.812 1685 0.208 1686 0.46 1687 0.856 1688 1.022 1689 1.27 1690 1.374 1691 1.212 1692 1.073 1693 0.593 1694 0.994 1695 0.783 1696 0.928 1697 0.72 1698 1.616 1699 1.392 1700 0.777 1701 1.097 1702 0.848 1703 0.76 1704 0.299 1705 1.142 1706 0.786 1707 0.431 1708 0.723 1709 0.698 1710 1.212 1711 0.683 1712 1.301 1713 1.172 1714 0.583 1715 0.72 1716 1.04 1717 1.157 1718 1.256 1719 1.171 1720 2.2 1721 1.548 1722 1.01 1723 0.868 1724 1.345 1725 1.019 1726 1.807 1727 1.257 1728 1.506 1729 0.606 1730 0.458 1731 1.263 1732 0.967 1733 1.309 1734 1.1 1735 0.928 1736 0.493 1737 0.763 1738 0.625 1739 1.176 1740 0.764 1741 1.334 1742 1.253 1743 1.339 1744 1.022 1745 0.835 1746 1.705 1747 1.818 1748 0.669 1749 1.426 1750 0.973 1751 1.176 1752 1.095 1753 0.952 1754 0.495 1755 0.652 1756 0.259 1757 1.13 1758 1.041 1759 1.114 1760 1.265 1761 1.756 1762 1.739 1763 0.95 1764 1.169 1765 0.861 1766 1.231 1767 0.952 1768 1.487 1769 1.44 1770 0.524 1771 1.206 1772 1.15 1773 1.293 1774 1.188 1775 0.917 1776 0.914 1777 0.394 1778 0.734 1779 0.603 1780 1.044 1781 0.726 1782 0.823 1783 1.18 1784 1.131 1785 1.539 1786 0.531 1787 1.085 1788 0.616 1789 0.287 1790 1.258 1791 0.684 1792 1.691 1793 1.218 1794 1.502 1795 0.905 1796 1.641 1797 1.672 1798 0.789 1799 1.442 1800 1.492 1801 1.768 1802 1.816 1803 1.19 1804 1.1 1805 1.126 1806 0.848 1807 0.702 1808 0.488 1809 0.564 1810 0.778 1811 1.094 1812 1.328 1813 0.846 1814 1.028 1815 0.958 1816 1.254 1817 1.537 1818 1.241 1819 1.331 1820 1.018 1821 1.175 1822 1.265 1823 1.761 1824 0.886 1825 0.683 1826 1.422 1827 0.916 1828 1.241 1829 1.175 1830 0.555 1831 1.661 1832 1.621 1833 0.831 1834 0.983 1835 0.959 1836 0.973 1837 1.178 1838 1.116 1839 1.224 1840 1.085 1841 1.263 1842 0.466 1843 1.818 1844 1.291 1845 0.168 1846 0.561 1847 0.156 1848 0.666 1849 1.019 1850 1.004 1851 0.102 1852 0.511 1853 1.154 1854 0.83 1855 0.597 1856 0.618 1857 0.696 1858 0.912 1859 0.965 1860 1.368 1861 1.102 1862 1.372 1863 0.342 1864 1.453 1865 1.219 1866 1.976 1867 1.732 1868 1.142 1869 1.501 1870 1.363 1871 0.362 1872 0.906 1873 0.857 1874 0.718 1875 0.995 1876 1.258 1877 1.003 1878 0.517 1879 0.4 1880 0.276 1881 0.766 1882 0.866 1883 0.836 1884 0.914 1885 0.949 1886 0.795 1887 0.134 1888 0.402 1889 0.436 1890 0.542 1891 0.498 1892 0.76 1893 0.634 1894 0.769 1895 1.28 1896 0.646 1897 0.995 1898 0.207 1899 0.816 1900 0.825 1901 0.768 1902 0.096 1903 0.692 1904 0.639 1905 0.525 1906 0.816 1907 1.172 1908 0.563 1909 0.889 1910 0.499 1911 0.863 1912 1.389 1913 1.022 1914 1.105 1915 0.879 1916 1.048 1917 1.483 1918 1.37 1919 0.632 1920 0.649 1921 1.414 1922 0.655 1923 1.195 1924 0.811 1925 0.826 1926 1.455 1927 1.159 1928 1.373 1929 0.813 1930 1.375 1931 1.059 1932 0.583 1933 1.239 1934 1.138 1935 0.872 1936 1.063 1937 1.131 1938 1.444 1939 1.249 1940 0.858 1941 1.279 1942 1.482 1943 1.181 1944 0.943 1945 0.934 1946 0.691 1947 1.269 1948 0.971 1949 1.072 1950 0.818 1951 1.282 1952 1 1953 0.92 1954 0.186 1955 0.528 1956 0.979 1957 1.066 1958 1.008 1959 0.496 1960 0.755 1961 0.586 1962 1.201 1963 0.812 1964 0.406 1965 1.431 1966 0.945 1967 0.737 1968 0.576 1969 1.231 1970 1.143 1971 1.266 1972 0.881 1973 1.116 1974 1.461 1975 1.028 1976 1.173 1977 0.987 1978 1.066 1979 1.098 1980 1.024 1981 0.659 1982 1.057 1983 1.488 1984 2.115 1985 1.743 1986 1.526 1987 1.197 1988 0.946 1989 1.011 1990 0.743 1991 1.108 1992 0.81 1993 1.261 1994 0.466 1995 1.61 1996 1.824 1997 1.42 1998 0.71 1999 1.178 2000 1.134 2001 0.985 2002 0.274