# northamerica_usa_co601 - Eagle Rock - 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/5298 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co601 - Eagle Rock - 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: Eagle Rock # Location: # Country: United States # Northernmost_Latitude: 39.38 # Southernmost_Latitude: 39.38 # Easternmost_Longitude: -105.17 # Westernmost_Longitude: -105.17 # Elevation: 2103 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co601B # Earliest_Year: 1607 # Most_Recent_Year: 1998 # 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":"2.76912313278","T2":"14.6004536799","M1":"0.0239330338578","M2":"0.551774864863"}} #-------------------- # Species # Species_Name: ponderosa pine # Species_Code: PIPO #-------------------- # 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 1607 1.169 1608 1.004 1609 0.515 1610 0.974 1611 0.973 1612 0.729 1613 1.189 1614 0.893 1615 0.99 1616 0.906 1617 1.222 1618 1.416 1619 1.335 1620 0.884 1621 1.03 1622 0.706 1623 0.599 1624 0.8 1625 0.658 1626 0.903 1627 0.856 1628 1.215 1629 1.172 1630 1.104 1631 0.999 1632 1.261 1633 1.65 1634 1.649 1635 0.901 1636 1.492 1637 1.275 1638 1.399 1639 1.209 1640 1.343 1641 1.378 1642 1.255 1643 1.29 1644 1.406 1645 0.634 1646 1.095 1647 1.402 1648 0.504 1649 0.875 1650 0.518 1651 1.015 1652 1.36 1653 0.811 1654 -0.04 1655 1.047 1656 1.119 1657 1.298 1658 1.143 1659 1.03 1660 1.301 1661 1.49 1662 1.313 1663 1.207 1664 1.003 1665 1.152 1666 0.376 1667 0.799 1668 0.737 1669 0.786 1670 0.794 1671 1.32 1672 1.176 1673 1.346 1674 1.005 1675 0.415 1676 0.873 1677 1.319 1678 1.511 1679 0.623 1680 1.382 1681 0.881 1682 0.931 1683 1.482 1684 0.711 1685 0.521 1686 0.553 1687 0.77 1688 1.218 1689 1.13 1690 0.544 1691 0.568 1692 1.357 1693 1.179 1694 1.54 1695 1.6 1696 0.935 1697 1.536 1698 0.862 1699 1.235 1700 1.217 1701 1.553 1702 1.416 1703 0.69 1704 1.026 1705 0.746 1706 1.32 1707 0.994 1708 0.869 1709 0.191 1710 1.182 1711 0.429 1712 1.151 1713 1.122 1714 1.125 1715 0.439 1716 1.022 1717 0.947 1718 1.214 1719 1.058 1720 1.246 1721 0.995 1722 1.108 1723 0.749 1724 0.755 1725 0.444 1726 1.28 1727 1.042 1728 1.267 1729 0.867 1730 0.557 1731 0.826 1732 0.634 1733 0.824 1734 0.987 1735 0.695 1736 0.769 1737 0.43 1738 0.759 1739 0.832 1740 0.585 1741 0.187 1742 0.19 1743 0.407 1744 0.552 1745 0.494 1746 0.781 1747 1.115 1748 0.444 1749 0.849 1750 0.792 1751 0.793 1752 1.043 1753 1.056 1754 0.395 1755 0.889 1756 0.73 1757 0.913 1758 0.797 1759 1.14 1760 0.812 1761 1.551 1762 1.391 1763 1.002 1764 1.488 1765 0.947 1766 1.304 1767 0.663 1768 1.263 1769 1.513 1770 1.231 1771 1.184 1772 1.514 1773 2.027 1774 1.664 1775 0.874 1776 1.151 1777 1.083 1778 1.159 1779 1.012 1780 1.214 1781 0.86 1782 0.865 1783 1.128 1784 1.133 1785 1.315 1786 0.795 1787 0.906 1788 1.072 1789 0.476 1790 0.965 1791 1.001 1792 1.3 1793 1.358 1794 1.508 1795 1.442 1796 1.448 1797 1.325 1798 0.607 1799 1.28 1800 1.206 1801 0.498 1802 1.115 1803 1.499 1804 0.853 1805 1.074 1806 1.087 1807 1.016 1808 1.065 1809 0.082 1810 0.886 1811 0.818 1812 0.898 1813 0.925 1814 0.921 1815 1.074 1816 0.816 1817 0.836 1818 0.907 1819 1.024 1820 0.979 1821 0.689 1822 1.024 1823 0.996 1824 0.591 1825 1.112 1826 1.018 1827 1.185 1828 1.439 1829 1.095 1830 0.949 1831 1.063 1832 0.945 1833 1.028 1834 0.933 1835 1.179 1836 1.067 1837 0.685 1838 1.183 1839 1.291 1840 1.26 1841 1.071 1842 0.169 1843 1.265 1844 1.241 1845 0.529 1846 0.966 1847 0.217 1848 0.667 1849 0.228 1850 0.898 1851 0.349 1852 0.198 1853 0.86 1854 0.794 1855 0.406 1856 0.384 1857 0.991 1858 1.268 1859 0.847 1860 1.295 1861 0.61 1862 1.092 1863 0.147 1864 0.902 1865 0.506 1866 0.969 1867 1.057 1868 1.171 1869 1.557 1870 1.206 1871 1.122 1872 1.349 1873 1.078 1874 0.639 1875 0.44 1876 0.988 1877 0.846 1878 1.234 1879 1.114 1880 -0.075 1881 0.593 1882 1.096 1883 0.661 1884 1.03 1885 0.655 1886 0.845 1887 0.913 1888 1.024 1889 1.107 1890 0.683 1891 1.363 1892 1.48 1893 0.887 1894 1.2 1895 1.474 1896 0.751 1897 1.472 1898 1.52 1899 0.56 1900 0.984 1901 1.061 1902 0.41 1903 1.055 1904 1.479 1905 1.142 1906 1.499 1907 1.235 1908 0.728 1909 1.453 1910 1.074 1911 0.631 1912 1.397 1913 0.908 1914 1.481 1915 1.583 1916 1.562 1917 1.591 1918 1.782 1919 1.314 1920 1.186 1921 1.437 1922 1.528 1923 1.606 1924 1.509 1925 0.57 1926 1.411 1927 1.108 1928 1.258 1929 1.052 1930 1.206 1931 0.981 1932 0.843 1933 1.266 1934 0.906 1935 1.054 1936 1.089 1937 1.257 1938 1.269 1939 0.74 1940 0.853 1941 1.274 1942 1.032 1943 0.715 1944 1.039 1945 0.588 1946 0.746 1947 0.995 1948 1.463 1949 1.26 1950 0.989 1951 0.771 1952 0.943 1953 0.788 1954 0.094 1955 0.94 1956 0.459 1957 0.913 1958 1.006 1959 0.642 1960 0.91 1961 0.97 1962 0.963 1963 0.062 1964 0.704 1965 1.087 1966 0.655 1967 1.125 1968 0.575 1969 1.188 1970 0.979 1971 1.017 1972 0.913 1973 0.88 1974 0.652 1975 1.006 1976 0.72 1977 0.945 1978 0.774 1979 0.831 1980 0.993 1981 0.966 1982 0.828 1983 1.179 1984 0.781 1985 1.17 1986 1.095 1987 1.062 1988 1.285 1989 0.793 1990 0.679 1991 1.139 1992 0.868 1993 0.697 1994 0.753 1995 1.077 1996 0.727 1997 0.762 1998 0.675