# northamerica_usa_wy021 - Powder River Pass - 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/2844 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_wy021 - Powder River Pass - 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: Powder River Pass # Location: # Country: United States # Northernmost_Latitude: 44.15 # Southernmost_Latitude: 44.15 # Easternmost_Longitude: -107.05 # Westernmost_Longitude: -107.05 # Elevation: 2850 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_wy021B # Earliest_Year: 1684 # 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":"6.96349184718","T2":"18.6846368955","M1":"0.0227892470962","M2":"0.337599542679"}} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 1684 1.184 1685 1.234 1686 1.3 1687 1.315 1688 1.135 1689 1.187 1690 1.127 1691 1.053 1692 0.959 1693 1.199 1694 0.84 1695 0.874 1696 0.913 1697 0.939 1698 1.022 1699 1.014 1700 0.886 1701 1.287 1702 1.176 1703 0.887 1704 0.879 1705 0.858 1706 0.917 1707 0.794 1708 0.885 1709 1.037 1710 0.929 1711 0.761 1712 0.868 1713 0.927 1714 0.88 1715 1.028 1716 0.909 1717 1.2 1718 0.916 1719 1.002 1720 1.096 1721 0.972 1722 0.842 1723 0.725 1724 1.184 1725 1.014 1726 1.097 1727 1.007 1728 1.27 1729 1.142 1730 1.125 1731 1.082 1732 0.977 1733 1.103 1734 0.965 1735 1.106 1736 0.925 1737 0.804 1738 0.878 1739 0.89 1740 0.69 1741 0.83 1742 0.949 1743 0.73 1744 0.541 1745 0.71 1746 0.677 1747 0.703 1748 0.628 1749 0.791 1750 1.088 1751 1.255 1752 1.091 1753 0.996 1754 0.949 1755 0.994 1756 1.222 1757 1.104 1758 0.887 1759 1.282 1760 1.161 1761 0.861 1762 1.168 1763 0.989 1764 1.061 1765 1.318 1766 1.067 1767 1.082 1768 1.083 1769 0.649 1770 0.799 1771 1.021 1772 0.966 1773 1.102 1774 1.046 1775 1.073 1776 1.076 1777 0.955 1778 0.949 1779 0.767 1780 1.139 1781 1.06 1782 0.983 1783 0.99 1784 1.098 1785 0.965 1786 0.978 1787 0.885 1788 1.139 1789 0.826 1790 0.862 1791 0.651 1792 0.986 1793 0.965 1794 0.847 1795 0.963 1796 0.934 1797 1.068 1798 1.138 1799 1.08 1800 0.964 1801 0.937 1802 1.059 1803 0.707 1804 1.118 1805 1.021 1806 1.103 1807 1.028 1808 0.951 1809 0.607 1810 0.743 1811 1.007 1812 1.21 1813 1.028 1814 0.86 1815 1.112 1816 1.102 1817 0.891 1818 0.941 1819 1.082 1820 0.863 1821 1.054 1822 0.985 1823 0.973 1824 0.934 1825 0.765 1826 1.022 1827 1.082 1828 1.169 1829 1.262 1830 1.134 1831 1.196 1832 0.835 1833 1.32 1834 0.861 1835 0.967 1836 0.905 1837 1.066 1838 0.637 1839 0.956 1840 0.956 1841 1.161 1842 0.828 1843 1.124 1844 1.114 1845 0.944 1846 0.992 1847 1.029 1848 1.27 1849 1.281 1850 1.167 1851 0.856 1852 0.905 1853 0.807 1854 0.921 1855 0.981 1856 0.993 1857 1.157 1858 1.039 1859 1.07 1860 0.884 1861 1.01 1862 0.904 1863 1.077 1864 0.977 1865 0.812 1866 1.186 1867 1.267 1868 1.199 1869 0.901 1870 0.926 1871 1.052 1872 0.676 1873 1.265 1874 1.187 1875 0.881 1876 1.322 1877 1.059 1878 1.264 1879 0.92 1880 0.875 1881 1.159 1882 0.769 1883 0.714 1884 0.943 1885 1.078 1886 1.193 1887 1.015 1888 1.076 1889 1.05 1890 1.019 1891 0.892 1892 1.081 1893 0.89 1894 0.797 1895 0.569 1896 1.013 1897 0.932 1898 0.982 1899 0.887 1900 1.082 1901 1.111 1902 0.793 1903 1.116 1904 0.84 1905 0.934 1906 0.607 1907 0.99 1908 1.097 1909 1.235 1910 1.011 1911 0.937 1912 1.267 1913 1.159 1914 1.176 1915 0.817 1916 1.231 1917 0.967 1918 1.15 1919 1.161 1920 0.889 1921 1.055 1922 0.991 1923 0.925 1924 0.84 1925 1.025 1926 0.877 1927 1.114 1928 1.118 1929 1.619 1930 1.176 1931 1.195 1932 1.349 1933 1.427 1934 0.99 1935 1.007 1936 0.859 1937 0.856 1938 0.934 1939 1.003 1940 1.176 1941 1.013 1942 0.903 1943 1.081 1944 0.943 1945 0.942 1946 0.869 1947 0.801 1948 0.841 1949 1.108 1950 0.95 1951 0.965 1952 0.986 1953 1.382 1954 1.067 1955 0.919 1956 0.854 1957 1.053 1958 0.735 1959 1.033 1960 0.627 1961 0.767 1962 0.682 1963 1.17 1964 1.084 1965 1.001 1966 1.129 1967 0.812 1968 0.91 1969 0.595 1970 0.899 1971 0.781 1972 0.707 1973 0.935 1974 0.998 1975 1.006 1976 1.009 1977 0.861 1978 0.887 1979 0.936 1980 0.866 1981 0.683 1982 0.564 1983 0.459