# northamerica_usa_co605 - Gould Reservoir - 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/5303 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co605 - Gould Reservoir - 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: Gould Reservoir # Location: # Country: United States # Northernmost_Latitude: 38.6 # Southernmost_Latitude: 38.6 # Easternmost_Longitude: -107.58 # Westernmost_Longitude: -107.58 # Elevation: 2271 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co605B # Earliest_Year: 1383 # 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":"5.19160517993","T2":"16.6293694001","M1":"0.0224123546043","M2":"0.447558818575"}} #-------------------- # 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 1383 1.004 1384 0.787 1385 1.095 1386 0.855 1387 0.966 1388 1.012 1389 0.803 1390 0.654 1391 0.854 1392 0.734 1393 0.929 1394 1.037 1395 0.797 1396 1.074 1397 0.788 1398 0.777 1399 0.691 1400 0.53 1401 0.922 1402 0.883 1403 0.902 1404 1.745 1405 0.893 1406 0.976 1407 0.847 1408 0.87 1409 1.403 1410 0.944 1411 1.213 1412 1.055 1413 0.597 1414 1.328 1415 0.988 1416 0.849 1417 1.037 1418 0.957 1419 0.925 1420 1.358 1421 0.992 1422 0.826 1423 0.782 1424 0.849 1425 0.557 1426 1.107 1427 1.126 1428 0.836 1429 1.028 1430 1.193 1431 1.303 1432 0.879 1433 1.059 1434 1.317 1435 1.116 1436 1.274 1437 0.94 1438 0.597 1439 0.953 1440 1.222 1441 1.437 1442 0.627 1443 0.83 1444 0.959 1445 0.689 1446 1.183 1447 1.316 1448 0.92 1449 1.096 1450 0.616 1451 1.088 1452 1.14 1453 1.061 1454 0.547 1455 0.579 1456 0.683 1457 0.902 1458 1.106 1459 1.079 1460 0.587 1461 0.853 1462 1.512 1463 1.138 1464 1.196 1465 0.786 1466 1.161 1467 1.29 1468 1.226 1469 0.641 1470 0.812 1471 0.806 1472 0.815 1473 1.008 1474 0.914 1475 0.582 1476 1.111 1477 1.281 1478 1.068 1479 1.044 1480 0.687 1481 0.867 1482 1.017 1483 1.013 1484 1.475 1485 1.288 1486 1.215 1487 1.218 1488 1.25 1489 1.3 1490 1.131 1491 1.438 1492 0.974 1493 1.08 1494 1.488 1495 0.713 1496 0.525 1497 1.11 1498 1.735 1499 0.819 1500 0.507 1501 0.99 1502 1.015 1503 1.178 1504 1.597 1505 0.814 1506 0.647 1507 0.866 1508 1.173 1509 1.564 1510 0.895 1511 0.951 1512 1.006 1513 1.346 1514 1.403 1515 0.944 1516 1.031 1517 1.16 1518 1.126 1519 1.294 1520 1.05 1521 1.563 1522 1.111 1523 1.394 1524 1.249 1525 1.385 1526 1.475 1527 1.234 1528 0.925 1529 1.018 1530 1.13 1531 0.915 1532 0.688 1533 0.938 1534 1.328 1535 1.034 1536 1.68 1537 1.57 1538 0.695 1539 1.455 1540 1.978 1541 2.001 1542 1.051 1543 1.154 1544 0.986 1545 0.999 1546 1.463 1547 1.276 1548 1.345 1549 1.358 1550 0.911 1551 0.831 1552 0.933 1553 1.146 1554 1.402 1555 1.471 1556 1.33 1557 1.38 1558 0.815 1559 0.912 1560 1.383 1561 1.007 1562 0.606 1563 0.869 1564 1.022 1565 1.469 1566 1.176 1567 0.777 1568 1.069 1569 1.145 1570 1.131 1571 1.189 1572 1.143 1573 0.937 1574 0.61 1575 1.027 1576 0.854 1577 1.332 1578 1.033 1579 0.849 1580 0.159 1581 0.685 1582 1.174 1583 0.802 1584 0.223 1585 0.185 1586 0.878 1587 0.756 1588 0.97 1589 1.029 1590 0.259 1591 0.67 1592 0.462 1593 0.645 1594 0.912 1595 1.069 1596 1.161 1597 0.902 1598 0.225 1599 0.994 1600 0.534 1601 1.105 1602 1.064 1603 0.762 1604 1.253 1605 1.206 1606 1.099 1607 0.731 1608 1.058 1609 0.918 1610 1.165 1611 1 1612 0.883 1613 1.278 1614 1.128 1615 1.235 1616 1.123 1617 1.387 1618 1.573 1619 0.865 1620 1.113 1621 1.369 1622 0.866 1623 0.579 1624 0.503 1625 0.538 1626 0.49 1627 0.987 1628 0.589 1629 0.906 1630 0.812 1631 0.538 1632 0.432 1633 1.22 1634 0.736 1635 1.05 1636 0.783 1637 0.737 1638 0.538 1639 1.1 1640 1.004 1641 0.872 1642 1.119 1643 1.033 1644 1.135 1645 0.618 1646 0.739 1647 1.361 1648 1.03 1649 1.149 1650 1.27 1651 1.309 1652 0.649 1653 1.029 1654 0.06 1655 1.268 1656 1.089 1657 1.338 1658 0.999 1659 1.288 1660 1.36 1661 1.352 1662 1.117 1663 0.738 1664 0.199 1665 1.045 1666 0.344 1667 0.591 1668 0.532 1669 1.445 1670 0.822 1671 0.813 1672 1.287 1673 0.915 1674 1.261 1675 0.843 1676 0.934 1677 0.904 1678 1.421 1679 1.405 1680 1.547 1681 1.464 1682 0.908 1683 1.423 1684 0.915 1685 -0.007 1686 0.79 1687 0.686 1688 1.092 1689 1.159 1690 0.958 1691 1.21 1692 1.274 1693 1.548 1694 0.992 1695 0.909 1696 0.863 1697 1.046 1698 1.453 1699 1.062 1700 0.661 1701 1.358 1702 1.05 1703 0.949 1704 1.097 1705 1.476 1706 1.087 1707 0.855 1708 0.702 1709 1.259 1710 0.935 1711 1.407 1712 1.12 1713 1.12 1714 0.37 1715 1.241 1716 1.027 1717 0.682 1718 1.191 1719 1.118 1720 1.673 1721 1.134 1722 0.511 1723 0.545 1724 0.886 1725 1.303 1726 1.248 1727 0.993 1728 0.98 1729 0.32 1730 1.07 1731 0.705 1732 0.921 1733 0.717 1734 1.351 1735 0.455 1736 0.726 1737 0.77 1738 0.966 1739 1.128 1740 0.578 1741 1.077 1742 0.977 1743 1.094 1744 0.741 1745 1.035 1746 1.157 1747 1.367 1748 0.431 1749 1.221 1750 0.728 1751 1.009 1752 0.712 1753 1.126 1754 0.911 1755 0.679 1756 0.491 1757 0.71 1758 0.932 1759 0.556 1760 0.833 1761 0.884 1762 1.055 1763 0.542 1764 0.964 1765 0.245 1766 0.882 1767 0.692 1768 1.164 1769 0.892 1770 0.87 1771 1.292 1772 0.702 1773 0.511 1774 0.699 1775 0.663 1776 0.592 1777 0.566 1778 0.638 1779 0.9 1780 0.805 1781 0.865 1782 0.611 1783 0.9 1784 1.178 1785 1.073 1786 1.007 1787 1.105 1788 0.666 1789 0.372 1790 1.16 1791 1.202 1792 0.983 1793 0.84 1794 0.891 1795 0.216 1796 1.224 1797 1.595 1798 0.651 1799 1.414 1800 0.966 1801 0.798 1802 0.965 1803 0.489 1804 0.817 1805 0.618 1806 0.284 1807 1.16 1808 0.982 1809 0.738 1810 0.496 1811 1.178 1812 1.031 1813 0.565 1814 0.556 1815 0.984 1816 1.115 1817 1.107 1818 0.947 1819 0.628 1820 0.607 1821 1.227 1822 0.615 1823 1.133 1824 0.492 1825 0.96 1826 1.133 1827 0.878 1828 1.103 1829 0.402 1830 0.73 1831 0.942 1832 1.14 1833 0.87 1834 0.553 1835 0.642 1836 0.799 1837 1.132 1838 1.002 1839 0.57 1840 1.019 1841 0.781 1842 0.587 1843 1.206 1844 0.817 1845 0.527 1846 0.321 1847 0.453 1848 0.964 1849 1.663 1850 1.401 1851 0.11 1852 0.941 1853 1.272 1854 0.998 1855 0.57 1856 1.142 1857 0.847 1858 1.163 1859 0.986 1860 0.905 1861 0.177 1862 1.345 1863 0.877 1864 0.945 1865 1.087 1866 1.418 1867 1.673 1868 1.278 1869 1.168 1870 0.869 1871 0.89 1872 1.161 1873 0.904 1874 0.74 1875 0.67 1876 0.81 1877 0.79 1878 0.671 1879 0.019 1880 0.685 1881 0.63 1882 0.609 1883 0.535 1884 0.989 1885 1.035 1886 0.898 1887 0.421 1888 0.69 1889 0.666 1890 0.726 1891 0.918 1892 0.95 1893 0.591 1894 0.61 1895 0.871 1896 0.428 1897 0.958 1898 0.801 1899 0.695 1900 0.562 1901 0.665 1902 0.335 1903 0.992 1904 0.678 1905 1.019 1906 1.05 1907 0.885 1908 0.808 1909 0.952 1910 0.845 1911 1.167 1912 1.195 1913 1.118 1914 1.496 1915 1.25 1916 1.309 1917 1.258 1918 1.018 1919 1.409 1920 1.428 1921 1.499 1922 1.2 1923 1.166 1924 1.132 1925 1.267 1926 1.28 1927 1.247 1928 1.313 1929 1.597 1930 1.463 1931 1.097 1932 1.477 1933 1.51 1934 1.011 1935 1.042 1936 1.376 1937 1.195 1938 1.524 1939 1.459 1940 1.419 1941 1.497 1942 1.748 1943 1.571 1944 1.379 1945 1.409 1946 1.529 1947 1.739 1948 1.241 1949 1.585 1950 1.302 1951 0.933 1952 1.425 1953 0.968 1954 0.369 1955 0.862 1956 0.8 1957 1.159 1958 1.393 1959 0.73 1960 1.215 1961 0.791 1962 1.449 1963 0.782 1964 1.078 1965 1.301 1966 0.69 1967 0.857 1968 0.804 1969 0.872 1970 0.972 1971 1.139 1972 0.952 1973 1.439 1974 1.384 1975 1.281 1976 0.609 1977 0.259 1978 1.107 1979 1.424 1980 1.334 1981 0.983 1982 1.132 1983 1.535 1984 1.383 1985 1.57 1986 1.538 1987 1.6 1988 1.196 1989 0.778 1990 0.9 1991 1.065 1992 1.244 1993 1.229 1994 0.963 1995 1.489 1996 1.148 1997 1.612 1998 1.26 1999 1.269 2000 0.858 2001 0.751 2002 0.377