# northamerica_usa_ca614 - American 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/4809 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca614 - American 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: American Canyon # Location: # Country: United States # Northernmost_Latitude: 35.3 # Southernmost_Latitude: 35.3 # Easternmost_Longitude: -120.27 # Westernmost_Longitude: -120.27 # Elevation: 580 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca614B # Earliest_Year: 1455 # Most_Recent_Year: 2004 # 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":"4.76713779479","T2":"16.9511988522","M1":"0.0229576491216","M2":"0.429312826984"}} #-------------------- # Species # Species_Name: blue oak # Species_Code: QUDG #-------------------- # 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 1455 0.833 1456 0.905 1457 0.794 1458 1.326 1459 1.007 1460 1.194 1461 1.349 1462 1.533 1463 0.857 1464 0.838 1465 0.747 1466 0.999 1467 1.238 1468 0.636 1469 0.769 1470 0.655 1471 0.783 1472 0.822 1473 0.917 1474 1.024 1475 0.95 1476 0.675 1477 0.696 1478 0.94 1479 0.555 1480 0.692 1481 1.242 1482 1.694 1483 1.391 1484 1.598 1485 1.001 1486 0.777 1487 0.875 1488 0.564 1489 0.638 1490 0.486 1491 0.428 1492 0.357 1493 0.756 1494 1.06 1495 1.217 1496 0.708 1497 0.507 1498 0.541 1499 0.379 1500 0.47 1501 1.057 1502 1.234 1503 1.225 1504 0.898 1505 0.841 1506 1.16 1507 1.417 1508 0.765 1509 1.177 1510 0.773 1511 0.802 1512 0.872 1513 1.349 1514 1.137 1515 0.927 1516 0.74 1517 0.999 1518 0.751 1519 0.611 1520 0.69 1521 0.905 1522 1.259 1523 1.053 1524 0.941 1525 1.186 1526 1.305 1527 0.815 1528 1.108 1529 0.501 1530 0.775 1531 1.125 1532 0.365 1533 1.078 1534 1.67 1535 1.412 1536 1.217 1537 1.127 1538 0.942 1539 1.059 1540 1.028 1541 0.514 1542 0.84 1543 1.041 1544 0.916 1545 1.07 1546 1.263 1547 1.067 1548 0.561 1549 1.121 1550 1.058 1551 1.016 1552 1.268 1553 0.751 1554 0.851 1555 0.927 1556 1.019 1557 1.115 1558 0.907 1559 1.175 1560 0.936 1561 0.868 1562 0.882 1563 1.043 1564 0.728 1565 0.788 1566 0.71 1567 0.84 1568 0.884 1569 0.651 1570 0.694 1571 0.036 1572 0.207 1573 0.599 1574 0.824 1575 1.033 1576 0.81 1577 1.091 1578 1.121 1579 0.776 1580 0.421 1581 1.243 1582 1.248 1583 0.964 1584 0.772 1585 0.426 1586 1.094 1587 1.31 1588 0.737 1589 0.995 1590 0.611 1591 1.175 1592 1.128 1593 1.134 1594 0.512 1595 0.918 1596 1.163 1597 0.829 1598 1.056 1599 1.299 1600 0.929 1601 1.34 1602 1.387 1603 1.43 1604 1.586 1605 1.494 1606 1.259 1607 0.763 1608 1.534 1609 1.281 1610 1.181 1611 1.183 1612 1.088 1613 0.157 1614 0.752 1615 0.855 1616 1.218 1617 1.08 1618 0.72 1619 0.709 1620 1.045 1621 0.603 1622 0.546 1623 1.288 1624 0.987 1625 1.434 1626 0.996 1627 1.182 1628 1.199 1629 0.743 1630 1.05 1631 0.797 1632 0.735 1633 1.15 1634 0.434 1635 0.88 1636 0.694 1637 0.77 1638 1.031 1639 1.073 1640 1.436 1641 1.091 1642 1.195 1643 0.653 1644 1.123 1645 0.88 1646 0.751 1647 0.721 1648 1.117 1649 1.14 1650 0.706 1651 1.061 1652 0.84 1653 0.616 1654 0.329 1655 0.609 1656 1.448 1657 0.756 1658 0.649 1659 0.695 1660 1.31 1661 1.416 1662 1.507 1663 1.109 1664 1.472 1665 1.061 1666 1.107 1667 1.004 1668 1.411 1669 0.656 1670 0.25 1671 1.298 1672 1.756 1673 0.903 1674 1.266 1675 1.211 1676 0.519 1677 1.227 1678 1.318 1679 1.132 1680 1.292 1681 0.718 1682 0.972 1683 0.755 1684 0.616 1685 0.435 1686 0.45 1687 0.974 1688 1.132 1689 0.88 1690 0.828 1691 0.414 1692 1.263 1693 1.109 1694 1.344 1695 1.313 1696 1.355 1697 1.101 1698 1.143 1699 1.524 1700 1.012 1701 0.728 1702 1.397 1703 0.805 1704 1.244 1705 1.019 1706 0.473 1707 0.663 1708 0.825 1709 1.109 1710 0.939 1711 1.193 1712 0.862 1713 0.749 1714 0.64 1715 0.84 1716 1.01 1717 1.246 1718 1.224 1719 1.11 1720 1.308 1721 0.812 1722 1.019 1723 1.365 1724 0.942 1725 1.265 1726 0.753 1727 1.206 1728 0.838 1729 0.65 1730 1.357 1731 1.127 1732 1.35 1733 0.798 1734 1.136 1735 0.726 1736 0.555 1737 0.414 1738 1.348 1739 0.995 1740 1.4 1741 1.229 1742 1.423 1743 1.419 1744 1.327 1745 1.243 1746 1.362 1747 1.181 1748 0.699 1749 0.6 1750 0.839 1751 0.829 1752 0.705 1753 0.86 1754 0.457 1755 0.817 1756 0.837 1757 0.744 1758 1.214 1759 1.098 1760 1.16 1761 0.986 1762 0.885 1763 0.993 1764 0.872 1765 0.66 1766 1.06 1767 1.097 1768 0.828 1769 1.155 1770 0.509 1771 0.969 1772 0.883 1773 0.853 1774 1.188 1775 1.479 1776 1.053 1777 0.477 1778 0.928 1779 1.187 1780 0.929 1781 0.614 1782 0.424 1783 0.424 1784 1.285 1785 1.009 1786 1.14 1787 1.341 1788 0.562 1789 1.634 1790 1.577 1791 1.259 1792 1.595 1793 1.242 1794 0.584 1795 0.184 1796 0.354 1797 1.236 1798 1.208 1799 1.149 1800 0.63 1801 1.292 1802 0.95 1803 0.625 1804 1.23 1805 0.797 1806 0.906 1807 0.549 1808 0.546 1809 0.361 1810 0.616 1811 1.054 1812 0.455 1813 1.165 1814 1.164 1815 1.049 1816 1.366 1817 1.373 1818 1.101 1819 1.109 1820 1.043 1821 1.349 1822 0.88 1823 0.913 1824 0.791 1825 2.047 1826 1.501 1827 0.879 1828 1.375 1829 0.304 1830 1.031 1831 0.838 1832 1.132 1833 1.171 1834 0.919 1835 0.624 1836 0.628 1837 0.81 1838 1.11 1839 0.707 1840 0.659 1841 0.31 1842 0.974 1843 0.354 1844 0.397 1845 0.556 1846 0.525 1847 1.11 1848 1.164 1849 1.352 1850 1.351 1851 0.862 1852 1.596 1853 1.588 1854 1.221 1855 1.509 1856 0.695 1857 0.787 1858 0.408 1859 0.863 1860 1.537 1861 1.478 1862 1.861 1863 0.969 1864 0.157 1865 0.828 1866 0.978 1867 1.48 1868 2.074 1869 0.904 1870 0.558 1871 0.624 1872 0.962 1873 0.896 1874 1.029 1875 0.813 1876 1.395 1877 0.182 1878 1.399 1879 0.463 1880 1.424 1881 1.387 1882 0.868 1883 0.709 1884 1.429 1885 0.782 1886 1.126 1887 0.797 1888 1.004 1889 1.293 1890 1.188 1891 1.341 1892 0.78 1893 1.268 1894 0.594 1895 1.245 1896 1.25 1897 1.062 1898 0.221 1899 0.699 1900 0.674 1901 1.185 1902 0.998 1903 1.047 1904 0.975 1905 0.943 1906 1.176 1907 1.115 1908 0.892 1909 1.104 1910 0.901 1911 0.615 1912 0.521 1913 0.438 1914 1.24 1915 1.581 1916 1.258 1917 1.303 1918 1.053 1919 0.916 1920 0.876 1921 0.806 1922 0.694 1923 0.751 1924 0.307 1925 0.814 1926 1.078 1927 0.882 1928 0.732 1929 0.686 1930 0.792 1931 0.512 1932 1.513 1933 0.868 1934 0.548 1935 0.931 1936 1.067 1937 1.151 1938 0.722 1939 0.395 1940 0.534 1941 1.211 1942 1.286 1943 1.407 1944 1.26 1945 0.986 1946 1.013 1947 0.834 1948 0.791 1949 1.026 1950 0.998 1951 0.418 1952 0.776 1953 0.631 1954 0.875 1955 0.92 1956 1.144 1957 1.005 1958 1.408 1959 1.023 1960 1.029 1961 0.488 1962 1.318 1963 1.502 1964 0.474 1965 1.152 1966 1.055 1967 1.599 1968 0.894 1969 1.464 1970 0.641 1971 0.686 1972 0.448 1973 0.859 1974 1.086 1975 0.985 1976 0.426 1977 0.438 1978 1.76 1979 1.301 1980 1.15 1981 1.05 1982 1.175 1983 1.502 1984 0.851 1985 0.833 1986 1.412 1987 0.643 1988 0.66 1989 0.582 1990 0.431 1991 1.029 1992 1.155 1993 1.677 1994 0.95 1995 1.797 1996 1.123 1997 0.945 1998 1.683 1999 0.993 2000 1.182 2001 1.234 2002 0.499 2003 1.027 2004 0.61