# northamerica_usa_co583 - Trail Gulch - 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/5344 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co583 - Trail Gulch - 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: Trail Gulch # Location: # Country: United States # Northernmost_Latitude: 39.72 # Southernmost_Latitude: 39.72 # Easternmost_Longitude: -106.98 # Westernmost_Longitude: -106.98 # Elevation: 2210 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co583B # Earliest_Year: 1402 # 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":"4.82940027907","T2":"11.8813658853","M1":"0.0241872941554","M2":"0.580491551149"}} #-------------------- # Species # Species_Name: pinyon pine # Species_Code: PIED #-------------------- # 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 1402 0.782 1403 0.816 1404 0.712 1405 0.87 1406 0.72 1407 0.891 1408 1.236 1409 1.047 1410 0.578 1411 0.643 1412 0.847 1413 0.321 1414 1.158 1415 0.912 1416 0.737 1417 0.647 1418 0.591 1419 0.631 1420 0.917 1421 0.971 1422 1.161 1423 0.713 1424 0.883 1425 0.494 1426 1.528 1427 0.89 1428 0.849 1429 1.247 1430 1.305 1431 1.669 1432 1.244 1433 1.107 1434 1.444 1435 1.304 1436 1.074 1437 1.193 1438 0.733 1439 0.583 1440 0.956 1441 1.393 1442 0.233 1443 1.056 1444 0.745 1445 0.769 1446 0.58 1447 1.086 1448 1.005 1449 1.385 1450 1.009 1451 1.51 1452 1.46 1453 1.362 1454 0.498 1455 0.426 1456 0.776 1457 1.269 1458 0.704 1459 0.875 1460 0.267 1461 0.707 1462 1.234 1463 1.216 1464 1.633 1465 0.668 1466 1.439 1467 1.667 1468 1.861 1469 1.108 1470 0.793 1471 0.899 1472 0.717 1473 0.81 1474 0.941 1475 0.713 1476 1.028 1477 1.243 1478 1.415 1479 0.871 1480 1.076 1481 1.386 1482 1.487 1483 1.386 1484 1.983 1485 1.219 1486 1.204 1487 1.116 1488 1.299 1489 1.489 1490 1.319 1491 1.39 1492 1.087 1493 1.157 1494 1.664 1495 0.879 1496 0.325 1497 0.789 1498 1.459 1499 0.714 1500 0.337 1501 0.798 1502 0.969 1503 1.249 1504 1.197 1505 0.601 1506 0.511 1507 0.379 1508 1.143 1509 1.791 1510 1.162 1511 1.016 1512 1.119 1513 1.255 1514 1.448 1515 0.786 1516 0.698 1517 0.729 1518 1.105 1519 0.783 1520 0.551 1521 1.706 1522 1.063 1523 1.598 1524 1.477 1525 1.226 1526 1.278 1527 0.893 1528 1 1529 1.1 1530 0.8 1531 0.276 1532 0.136 1533 0.991 1534 1.468 1535 1.493 1536 1.28 1537 1.144 1538 0.676 1539 0.849 1540 1.108 1541 0.781 1542 0.259 1543 0.764 1544 0.656 1545 0.24 1546 0.875 1547 0.832 1548 1.084 1549 1.62 1550 1.013 1551 0.854 1552 1.006 1553 1.136 1554 0.681 1555 0.692 1556 0.549 1557 0.86 1558 0.479 1559 0.674 1560 1.071 1561 0.711 1562 0.65 1563 0.885 1564 1.164 1565 1.145 1566 0.377 1567 0.889 1568 1.093 1569 0.522 1570 1.244 1571 0.944 1572 1.236 1573 0.72 1574 0.2 1575 0.773 1576 0.74 1577 1.195 1578 1.136 1579 0.995 1580 0.399 1581 0.568 1582 0.894 1583 0.696 1584 -0.006 1585 0.678 1586 0.857 1587 0.615 1588 0.818 1589 1.286 1590 0.351 1591 0.275 1592 0.314 1593 0.723 1594 0.384 1595 1.296 1596 1.691 1597 1.181 1598 0.269 1599 1.615 1600 0.263 1601 1.713 1602 1.252 1603 1.646 1604 1.764 1605 1.603 1606 1.422 1607 0.208 1608 0.929 1609 1.145 1610 1.207 1611 1.558 1612 1.452 1613 1.535 1614 1.698 1615 1.51 1616 1.031 1617 1.305 1618 1.428 1619 1.039 1620 1.187 1621 1.242 1622 0.569 1623 1.005 1624 0.816 1625 0.328 1626 0.604 1627 1.077 1628 1.303 1629 0.696 1630 1.215 1631 0.599 1632 0.645 1633 1.113 1634 0.32 1635 0.598 1636 0.941 1637 1.062 1638 1.043 1639 1.169 1640 1.017 1641 0.868 1642 0.935 1643 0.53 1644 0.987 1645 0.91 1646 -0.008 1647 0.79 1648 1.024 1649 1.684 1650 1.573 1651 1.203 1652 1.286 1653 0.723 1654 0.134 1655 1.33 1656 0.547 1657 0.804 1658 0.821 1659 0.879 1660 1.307 1661 0.936 1662 1.415 1663 0.967 1664 0.462 1665 1.137 1666 0.48 1667 0.502 1668 0.604 1669 1.446 1670 0.735 1671 0.762 1672 1.401 1673 1.426 1674 1.337 1675 1.032 1676 1.717 1677 1.427 1678 1.624 1679 1.437 1680 1.722 1681 1.378 1682 0.771 1683 1.391 1684 0.499 1685 -0.011 1686 0.709 1687 0.415 1688 0.916 1689 1.368 1690 1.305 1691 1.311 1692 0.536 1693 1.1 1694 0.897 1695 0.85 1696 0.699 1697 1.309 1698 1.276 1699 1.27 1700 0.802 1701 1.11 1702 1.367 1703 0.922 1704 0.6 1705 1.09 1706 0.256 1707 0.812 1708 0.791 1709 1.165 1710 1.027 1711 1.057 1712 1.191 1713 0.854 1714 -0.012 1715 1.154 1716 0.966 1717 1.101 1718 0.949 1719 1.073 1720 1.635 1721 0.981 1722 0.668 1723 0.367 1724 0.916 1725 1.341 1726 1.704 1727 1.563 1728 1.154 1729 1.024 1730 1.373 1731 0.895 1732 1.035 1733 1.318 1734 1.554 1735 -0.013 1736 0.338 1737 0.568 1738 0.962 1739 1.026 1740 0.612 1741 1.292 1742 1.305 1743 1.338 1744 1.024 1745 1.679 1746 1.334 1747 1.544 1748 0.457 1749 0.944 1750 0.877 1751 1.016 1752 0.823 1753 1.754 1754 1.431 1755 0.839 1756 0.519 1757 0.618 1758 0.9 1759 0.238 1760 1.266 1761 1.121 1762 1.265 1763 0.74 1764 1.321 1765 0.342 1766 1.036 1767 0.387 1768 1.565 1769 1.379 1770 1.181 1771 1.123 1772 0.921 1773 -0.014 1774 0.693 1775 1.053 1776 0.931 1777 0.195 1778 0.506 1779 0.923 1780 0.375 1781 0.689 1782 0.532 1783 0.833 1784 1.335 1785 1.156 1786 0.658 1787 1.216 1788 1.062 1789 1 1790 1.578 1791 1.306 1792 1.303 1793 1.056 1794 0.517 1795 0.544 1796 1.087 1797 1.503 1798 0.312 1799 0.925 1800 0.829 1801 0.895 1802 1.281 1803 0.664 1804 0.813 1805 0.747 1806 0.678 1807 0.94 1808 1.095 1809 0.984 1810 0.999 1811 1.528 1812 1.109 1813 0.712 1814 0.726 1815 0.788 1816 0.853 1817 1.145 1818 1.081 1819 1.151 1820 0.898 1821 0.895 1822 0.372 1823 1.027 1824 0.371 1825 0.636 1826 1.017 1827 1.035 1828 1.595 1829 0.449 1830 0.756 1831 1.13 1832 1.193 1833 0.943 1834 0.789 1835 0.934 1836 1.154 1837 1.588 1838 1.602 1839 1.586 1840 1.441 1841 1.467 1842 1.177 1843 1.128 1844 0.826 1845 -0.016 1846 -0.016 1847 0.461 1848 0.584 1849 1.468 1850 1.538 1851 0.281 1852 1.209 1853 1.476 1854 1.183 1855 0.294 1856 1.084 1857 0.855 1858 0.994 1859 1.216 1860 1.418 1861 0.297 1862 1.8 1863 1.264 1864 1.121 1865 1.324 1866 1.629 1867 1.776 1868 1.74 1869 1.111 1870 1.155 1871 0.698 1872 1.362 1873 1.092 1874 1.049 1875 1.002 1876 1.307 1877 0.471 1878 0.543 1879 -0.016 1880 0.853 1881 0.441 1882 0.249 1883 0.399 1884 1.132 1885 1.028 1886 1.078 1887 0.325 1888 0.741 1889 0.552 1890 1.06 1891 1.28 1892 0.836 1893 0.959 1894 0.813 1895 1.314 1896 0.259 1897 0.968 1898 0.824 1899 0.842 1900 0.866 1901 0.869 1902 -0.016 1903 0.806 1904 0.626 1905 1.166 1906 1.37 1907 1.164 1908 0.989 1909 1.289 1910 1.222 1911 1.228 1912 1.23 1913 0.76 1914 1.474 1915 0.83 1916 1.388 1917 1.458 1918 1.379 1919 0.978 1920 1.54 1921 1.482 1922 1.347 1923 1.523 1924 1.194 1925 0.749 1926 1.226 1927 1.162 1928 1.013 1929 1.296 1930 1.094 1931 0.596 1932 1.433 1933 0.76 1934 0.242 1935 0.844 1936 0.914 1937 0.856 1938 1.14 1939 0.961 1940 0.5 1941 1.183 1942 1.08 1943 0.982 1944 0.796 1945 0.459 1946 0.275 1947 1.015 1948 0.715 1949 1.194 1950 0.907 1951 0.702 1952 1.436 1953 0.758 1954 0.054 1955 1.103 1956 0.911 1957 1.431 1958 0.849 1959 0.499 1960 0.91 1961 0.622 1962 1.338 1963 0.865 1964 0.865 1965 1.091 1966 0.889 1967 1.194 1968 0.825 1969 1.329 1970 1.078 1971 1.075 1972 0.683 1973 1.368 1974 1.09 1975 1.219 1976 0.841 1977 -0.016 1978 1.188 1979 1.604 1980 1.141 1981 0.458 1982 1.485 1983 1.395 1984 1.483 1985 1.574 1986 1.874 1987 1.593 1988 0.748 1989 1.485 1990 0.437 1991 1.361 1992 0.745 1993 1.465 1994 0.782 1995 1.263 1996 1.247 1997 1.128 1998 1.196 1999 1.137 2000 0.344 2001 0.73 2002 -0.007