# northamerica_usa_co607 - Jamestown - 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/5307 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co607 - Jamestown - 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: Jamestown # Location: # Country: United States # Northernmost_Latitude: 40.13 # Southernmost_Latitude: 40.13 # Easternmost_Longitude: -105.42 # Westernmost_Longitude: -105.42 # Elevation: 2469 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co607B # Earliest_Year: 1602 # Most_Recent_Year: 2000 # 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":"2.89361916764","T2":"15.0545780558","M1":"0.0227694959813","M2":"0.527882205787"}} #-------------------- # 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 1602 1.22 1603 1.446 1604 1.021 1605 1.125 1606 1.134 1607 1.041 1608 1.036 1609 0.734 1610 0.96 1611 0.708 1612 0.836 1613 1.294 1614 0.671 1615 1.544 1616 1.069 1617 1.168 1618 1.737 1619 1.572 1620 0.38 1621 1.328 1622 0.606 1623 0.578 1624 0.818 1625 0.727 1626 0.885 1627 0.558 1628 1.125 1629 1.057 1630 1.32 1631 0.559 1632 1.21 1633 1.296 1634 0.966 1635 0.877 1636 0.918 1637 1.264 1638 0.948 1639 1.458 1640 1.497 1641 1.283 1642 1.208 1643 0.888 1644 1.208 1645 0.859 1646 1.183 1647 1.096 1648 0.588 1649 0.825 1650 0.478 1651 1.025 1652 1.02 1653 0.901 1654 -0.115 1655 1.007 1656 0.618 1657 0.805 1658 0.931 1659 0.864 1660 0.835 1661 1.038 1662 1.224 1663 0.701 1664 0.967 1665 0.694 1666 0.436 1667 0.732 1668 0.423 1669 0.79 1670 0.667 1671 0.765 1672 0.709 1673 1.001 1674 0.871 1675 0.644 1676 0.87 1677 0.306 1678 0.922 1679 0.904 1680 1.007 1681 1.137 1682 1.15 1683 1.383 1684 1.418 1685 0.686 1686 0.871 1687 1.03 1688 1.286 1689 1.601 1690 1.731 1691 0.761 1692 1.848 1693 1.36 1694 1.573 1695 1.623 1696 1.037 1697 1.569 1698 1.553 1699 1.381 1700 0.21 1701 0.7 1702 1.061 1703 0.594 1704 0.919 1705 1.575 1706 1.454 1707 1.64 1708 1.051 1709 0.382 1710 1.112 1711 1.054 1712 1.437 1713 1.203 1714 1.265 1715 1.23 1716 1.116 1717 0.993 1718 1.41 1719 1.292 1720 1.558 1721 1.589 1722 1.821 1723 1.362 1724 1.236 1725 1.564 1726 1.626 1727 0.958 1728 1.151 1729 0.949 1730 0.777 1731 0.702 1732 1.18 1733 1.053 1734 1.493 1735 0.645 1736 0.608 1737 0.915 1738 1.056 1739 0.773 1740 1.136 1741 0.776 1742 0.632 1743 0.765 1744 0.933 1745 0.545 1746 0.959 1747 1.426 1748 0.507 1749 1.044 1750 0.612 1751 1.329 1752 0.842 1753 1.325 1754 0.858 1755 1.127 1756 0.693 1757 0.83 1758 0.92 1759 0.791 1760 0.862 1761 1.792 1762 0.92 1763 1.523 1764 1.647 1765 0.678 1766 1.226 1767 0.941 1768 1.142 1769 1.227 1770 1.313 1771 0.881 1772 0.975 1773 1.231 1774 0.799 1775 0.44 1776 1.037 1777 0.757 1778 0.473 1779 0.844 1780 0.671 1781 0.819 1782 0.819 1783 1.079 1784 1.176 1785 1.206 1786 0.894 1787 1.005 1788 0.873 1789 0.448 1790 1.214 1791 0.835 1792 1.15 1793 1.161 1794 1.325 1795 1.211 1796 1.329 1797 0.856 1798 0.729 1799 1.241 1800 1.525 1801 0.536 1802 1.305 1803 1.588 1804 1.233 1805 0.822 1806 1.202 1807 0.912 1808 1.275 1809 0.807 1810 1.391 1811 0.989 1812 0.751 1813 0.583 1814 0.882 1815 0.926 1816 1.038 1817 0.837 1818 0.702 1819 0.578 1820 0.349 1821 0.611 1822 0.777 1823 0.559 1824 0.34 1825 0.803 1826 0.787 1827 0.876 1828 0.801 1829 0.527 1830 0.708 1831 0.821 1832 0.719 1833 0.868 1834 0.851 1835 1.026 1836 1.234 1837 1.372 1838 1.478 1839 1.311 1840 1.047 1841 1.158 1842 0.09 1843 1.434 1844 1.0 1845 0.635 1846 0.892 1847 0.648 1848 0.631 1849 0.988 1850 0.688 1851 0.247 1852 0.849 1853 0.829 1854 0.895 1855 0.557 1856 0.213 1857 0.723 1858 1.354 1859 0.539 1860 0.777 1861 0.529 1862 0.632 1863 0.143 1864 0.992 1865 0.674 1866 1.101 1867 0.942 1868 0.865 1869 1.134 1870 0.847 1871 0.776 1872 0.909 1873 1.201 1874 0.845 1875 1.162 1876 1.055 1877 0.872 1878 1.439 1879 0.603 1880 0.333 1881 0.782 1882 1.071 1883 1.428 1884 0.971 1885 0.453 1886 0.695 1887 0.145 1888 0.922 1889 0.912 1890 0.665 1891 1.12 1892 1.082 1893 0.554 1894 1.295 1895 1.34 1896 0.861 1897 1.219 1898 1.455 1899 0.908 1900 1.333 1901 1.248 1902 0.939 1903 1.77 1904 1.504 1905 1.242 1906 1.424 1907 1.39 1908 1.638 1909 1.69 1910 0.838 1911 1.231 1912 1.413 1913 1.321 1914 1.816 1915 1.751 1916 1.236 1917 1.104 1918 1.513 1919 1.272 1920 1.058 1921 1.847 1922 1.041 1923 1.681 1924 1.027 1925 0.882 1926 1.333 1927 0.897 1928 1.464 1929 0.725 1930 1.031 1931 1.219 1932 0.772 1933 1.015 1934 0.795 1935 0.801 1936 1.153 1937 1.231 1938 1.225 1939 0.38 1940 1.111 1941 0.862 1942 1.149 1943 1.163 1944 0.745 1945 1.23 1946 1.009 1947 1.256 1948 1.063 1949 1.225 1950 0.871 1951 0.818 1952 1.081 1953 1.059 1954 0.093 1955 0.782 1956 0.722 1957 1.053 1958 0.977 1959 1.086 1960 0.832 1961 1.149 1962 0.796 1963 0.277 1964 0.468 1965 0.91 1966 0.296 1967 1.254 1968 0.946 1969 1.156 1970 1.104 1971 0.632 1972 0.919 1973 0.646 1974 0.487 1975 1.145 1976 0.635 1977 0.428 1978 0.482 1979 0.573 1980 0.18 1981 0.846 1982 0.613 1983 1.052 1984 0.455 1985 0.936 1986 0.882 1987 1.334 1988 0.969 1989 1.092 1990 0.968 1991 1.22 1992 1.084 1993 1.081 1994 1.147 1995 1.593 1996 1.41 1997 1.448 1998 1.138 1999 1.413 2000 0.834