# northamerica_usa_ca560 - Yosemite Park E Eingang - 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/2862 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca560 - Yosemite Park E Eingang - 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: Yosemite Park E Eingang # Location: # Country: United States # Northernmost_Latitude: 37.8 # Southernmost_Latitude: 37.8 # Easternmost_Longitude: -119.25 # Westernmost_Longitude: -119.25 # Elevation: 3000 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca560B # Earliest_Year: 1513 # Most_Recent_Year: 1983 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"4.39894407588","T2":"14.8336772456","M1":"0.0224668710887","M2":"0.522018928045"}} #-------------------- # Species # Species_Name: lodgepole pine # Species_Code: PICO #-------------------- # 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 1513 0.894 1514 1.107 1515 1.069 1516 1.027 1517 1.11 1518 1.01 1519 0.929 1520 0.853 1521 0.932 1522 1.266 1523 1.07 1524 0.868 1525 1.137 1526 0.996 1527 0.946 1528 1.047 1529 1.04 1530 0.932 1531 0.807 1532 1.212 1533 0.941 1534 0.918 1535 1.147 1536 1.054 1537 1.013 1538 0.901 1539 1.095 1540 0.873 1541 0.944 1542 0.848 1543 0.687 1544 0.804 1545 1.156 1546 0.831 1547 0.958 1548 0.886 1549 0.933 1550 0.991 1551 0.956 1552 0.948 1553 1.323 1554 1.071 1555 0.923 1556 1.087 1557 0.905 1558 1.043 1559 1.047 1560 1.063 1561 0.886 1562 1.061 1563 0.948 1564 1.167 1565 1.365 1566 0.918 1567 1.075 1568 1.31 1569 1.307 1570 1.25 1571 1.04 1572 1.139 1573 1.073 1574 1.139 1575 1.019 1576 0.999 1577 1.028 1578 0.88 1579 0.844 1580 0.669 1581 0.734 1582 0.831 1583 1.131 1584 0.935 1585 0.857 1586 1.029 1587 1.102 1588 1.228 1589 1.322 1590 1.264 1591 1.108 1592 1.074 1593 1.139 1594 1.226 1595 1.072 1596 0.916 1597 0.95 1598 0.986 1599 0.799 1600 0.85 1601 0.439 1602 0.352 1603 0.641 1604 0.517 1605 0.495 1606 0.53 1607 0.486 1608 0.605 1609 0.763 1610 0.728 1611 0.929 1612 0.826 1613 0.698 1614 1.004 1615 0.845 1616 0.989 1617 1.08 1618 0.744 1619 0.845 1620 0.784 1621 0.8 1622 0.887 1623 0.963 1624 0.991 1625 1.096 1626 0.823 1627 1.01 1628 1.236 1629 1.19 1630 1.086 1631 0.96 1632 1.048 1633 1.18 1634 1.332 1635 1.034 1636 1.262 1637 1.577 1638 1.02 1639 1.124 1640 1.317 1641 1.03 1642 0.791 1643 0.887 1644 0.945 1645 0.895 1646 0.83 1647 0.808 1648 1.142 1649 1.239 1650 1.476 1651 1.367 1652 1.065 1653 0.707 1654 0.843 1655 0.613 1656 0.96 1657 1.034 1658 0.892 1659 1.087 1660 1.237 1661 1.194 1662 1.248 1663 0.921 1664 1.35 1665 1.379 1666 1.119 1667 0.882 1668 0.946 1669 1.044 1670 0.977 1671 0.811 1672 0.96 1673 1.058 1674 1.173 1675 1.246 1676 1.026 1677 1.017 1678 0.888 1679 1.306 1680 1.198 1681 0.686 1682 1.206 1683 1.094 1684 1.041 1685 1.008 1686 1.2 1687 1.065 1688 1.077 1689 1.176 1690 0.908 1691 0.963 1692 1.264 1693 1.316 1694 1.37 1695 1.095 1696 0.938 1697 1.396 1698 1.424 1699 1.042 1700 1.078 1701 1.021 1702 0.901 1703 0.912 1704 0.849 1705 0.981 1706 0.777 1707 0.644 1708 0.78 1709 1.165 1710 1.021 1711 1.119 1712 1.089 1713 1.019 1714 0.784 1715 0.759 1716 0.79 1717 1.037 1718 0.832 1719 0.8 1720 1.149 1721 1 1722 1.045 1723 1.013 1724 1.325 1725 1.333 1726 1.229 1727 1.398 1728 1.412 1729 1.087 1730 0.901 1731 1.264 1732 1.225 1733 0.952 1734 1.086 1735 0.69 1736 0.74 1737 0.858 1738 0.881 1739 0.905 1740 0.913 1741 1.133 1742 0.953 1743 1.218 1744 1.13 1745 1.474 1746 1.24 1747 1.259 1748 1.123 1749 0.938 1750 0.925 1751 1.115 1752 0.862 1753 0.921 1754 0.889 1755 0.699 1756 0.77 1757 0.653 1758 0.707 1759 0.788 1760 0.883 1761 0.991 1762 0.963 1763 0.989 1764 0.969 1765 0.913 1766 0.703 1767 0.83 1768 1.125 1769 1.092 1770 0.763 1771 0.915 1772 0.95 1773 1.015 1774 1.177 1775 1.099 1776 0.93 1777 0.87 1778 0.936 1779 1.09 1780 1.065 1781 0.901 1782 0.694 1783 0.823 1784 0.997 1785 1.381 1786 1.388 1787 0.893 1788 1.007 1789 0.969 1790 1.005 1791 1.034 1792 0.973 1793 0.717 1794 0.9 1795 0.715 1796 0.584 1797 0.817 1798 1.13 1799 0.99 1800 0.996 1801 1.154 1802 1.079 1803 0.974 1804 0.957 1805 0.97 1806 0.941 1807 1.018 1808 0.795 1809 0.735 1810 0.583 1811 0.53 1812 0.543 1813 0.52 1814 0.506 1815 0.609 1816 0.538 1817 0.624 1818 0.49 1819 0.573 1820 0.707 1821 0.675 1822 0.628 1823 0.673 1824 0.573 1825 0.805 1826 0.979 1827 1.084 1828 0.927 1829 0.692 1830 0.787 1831 0.954 1832 1.136 1833 1.054 1834 0.945 1835 0.759 1836 0.866 1837 0.897 1838 0.946 1839 1.038 1840 1.039 1841 0.795 1842 0.72 1843 0.783 1844 0.684 1845 0.789 1846 0.84 1847 0.808 1848 0.903 1849 0.877 1850 0.937 1851 0.777 1852 1.09 1853 0.907 1854 0.975 1855 0.939 1856 0.695 1857 0.906 1858 0.964 1859 1.107 1860 1.124 1861 1.144 1862 0.705 1863 0.965 1864 0.822 1865 0.865 1866 0.929 1867 0.991 1868 0.892 1869 0.991 1870 1.019 1871 0.965 1872 1.092 1873 1.352 1874 1.296 1875 1.307 1876 1.289 1877 1.283 1878 1.242 1879 1.315 1880 1.235 1881 1.429 1882 1.34 1883 0.849 1884 1.113 1885 0.708 1886 1.158 1887 0.735 1888 0.869 1889 0.88 1890 0.817 1891 1.243 1892 1.258 1893 1.161 1894 1.228 1895 1.287 1896 1.283 1897 1.493 1898 1.141 1899 0.822 1900 1.322 1901 1.595 1902 1.386 1903 1.233 1904 1.578 1905 1.412 1906 1.196 1907 1.612 1908 1.419 1909 1.439 1910 1.291 1911 1.109 1912 1.048 1913 0.755 1914 1.109 1915 1.001 1916 0.834 1917 1.001 1918 0.751 1919 1.177 1920 0.849 1921 0.945 1922 1.053 1923 0.822 1924 0.893 1925 0.919 1926 1.09 1927 1.164 1928 1.279 1929 0.741 1930 0.763 1931 1.034 1932 0.893 1933 0.935 1934 0.849 1935 1.203 1936 1.088 1937 1.176 1938 1.216 1939 0.939 1940 1.132 1941 0.987 1942 1.31 1943 1.139 1944 0.864 1945 0.908 1946 1.134 1947 0.898 1948 0.968 1949 0.818 1950 1.006 1951 0.994 1952 0.974 1953 0.938 1954 0.993 1955 0.925 1956 0.827 1957 0.919 1958 1.134 1959 0.941 1960 0.804 1961 0.695 1962 0.853 1963 1.014 1964 0.98 1965 0.867 1966 0.969 1967 0.913 1968 0.78 1969 1.032 1970 0.782 1971 0.669 1972 0.679 1973 0.913 1974 0.975 1975 1.097 1976 0.933 1977 0.912 1978 0.947 1979 1.201 1980 0.975 1981 1.092 1982 0.927 1983 1.161