# northamerica_usa_ut512 - Hidden Peak Wasatch Mtn. - 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/2821 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ut512 - Hidden Peak Wasatch Mtn. - 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: Hidden Peak Wasatch Mtn. # Location: # Country: United States # Northernmost_Latitude: 40.57 # Southernmost_Latitude: 40.57 # Easternmost_Longitude: -111.63 # Westernmost_Longitude: -111.63 # Elevation: 3150 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ut512B # Earliest_Year: 1675 # Most_Recent_Year: 1983 # 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":"4.59596628093","T2":"16.0235709059","M1":"0.0227080242551","M2":"0.501932065665"}} #-------------------- # 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 1675 1.004 1676 0.999 1677 0.942 1678 0.934 1679 1.001 1680 1.004 1681 0.828 1682 1.064 1683 1.116 1684 0.846 1685 0.85 1686 0.811 1687 0.967 1688 1.049 1689 0.978 1690 0.853 1691 0.946 1692 0.939 1693 0.941 1694 0.984 1695 0.865 1696 1.018 1697 1.181 1698 1.019 1699 0.962 1700 0.838 1701 0.929 1702 0.75 1703 0.647 1704 0.762 1705 0.696 1706 0.793 1707 0.813 1708 0.809 1709 1.147 1710 0.858 1711 0.707 1712 0.806 1713 0.673 1714 0.769 1715 0.797 1716 0.757 1717 0.826 1718 0.922 1719 0.884 1720 0.763 1721 0.888 1722 1.012 1723 0.939 1724 1.16 1725 1.199 1726 1.075 1727 1.08 1728 0.964 1729 0.891 1730 0.921 1731 0.819 1732 0.803 1733 0.823 1734 0.853 1735 0.726 1736 0.626 1737 0.766 1738 0.909 1739 0.974 1740 0.658 1741 1.046 1742 0.793 1743 0.904 1744 0.891 1745 0.716 1746 0.948 1747 1.151 1748 0.781 1749 0.778 1750 1.144 1751 1.16 1752 1.085 1753 1.11 1754 0.912 1755 0.792 1756 1.093 1757 1.1 1758 0.832 1759 0.853 1760 0.918 1761 0.906 1762 0.907 1763 0.801 1764 0.76 1765 0.949 1766 0.771 1767 0.899 1768 0.812 1769 0.75 1770 0.761 1771 1.006 1772 0.97 1773 1.137 1774 1.053 1775 1.04 1776 1.191 1777 1.217 1778 1.18 1779 1.146 1780 1.112 1781 1.134 1782 0.888 1783 1.162 1784 1.147 1785 1.249 1786 1.071 1787 1.051 1788 1.112 1789 1.045 1790 1.204 1791 1.092 1792 0.95 1793 1.024 1794 1.246 1795 1.263 1796 1.227 1797 1.207 1798 1.264 1799 1.272 1800 1.024 1801 1.187 1802 1.303 1803 1.139 1804 1.209 1805 1.184 1806 1.153 1807 1.249 1808 1.157 1809 0.949 1810 1.098 1811 1.239 1812 1.115 1813 0.89 1814 0.973 1815 1.099 1816 1.369 1817 1.144 1818 0.843 1819 1.091 1820 1.037 1821 0.921 1822 0.988 1823 0.925 1824 0.794 1825 0.813 1826 0.953 1827 1.266 1828 1.106 1829 1.022 1830 0.872 1831 0.996 1832 0.822 1833 1.075 1834 0.971 1835 0.933 1836 0.771 1837 0.833 1838 0.624 1839 0.794 1840 0.765 1841 0.749 1842 0.875 1843 0.857 1844 0.854 1845 0.818 1846 0.898 1847 0.927 1848 1.016 1849 1.04 1850 1.116 1851 1.038 1852 1.107 1853 1.188 1854 1.116 1855 1.116 1856 1.034 1857 1.118 1858 0.992 1859 1.079 1860 0.832 1861 0.982 1862 1.054 1863 1.167 1864 0.958 1865 0.833 1866 1.151 1867 1.14 1868 1.074 1869 0.886 1870 0.735 1871 0.734 1872 0.856 1873 1.068 1874 1.234 1875 1.067 1876 1.059 1877 0.989 1878 0.967 1879 0.834 1880 0.961 1881 1.013 1882 0.84 1883 0.732 1884 0.941 1885 0.917 1886 0.978 1887 0.914 1888 0.834 1889 0.866 1890 0.895 1891 0.692 1892 0.752 1893 0.744 1894 0.753 1895 0.737 1896 0.942 1897 0.97 1898 1.021 1899 0.789 1900 0.872 1901 0.761 1902 0.751 1903 0.855 1904 0.747 1905 0.729 1906 0.751 1907 0.911 1908 0.883 1909 1.006 1910 0.908 1911 1.049 1912 1.03 1913 0.883 1914 1.128 1915 0.895 1916 0.841 1917 0.931 1918 0.741 1919 0.834 1920 0.772 1921 0.826 1922 0.899 1923 0.689 1924 0.571 1925 0.789 1926 0.742 1927 0.927 1928 0.797 1929 0.951 1930 0.935 1931 0.955 1932 0.843 1933 0.962 1934 0.794 1935 1.054 1936 0.981 1937 1.088 1938 1.187 1939 1.18 1940 1.096 1941 1.057 1942 1.191 1943 1.05 1944 1.199 1945 1.215 1946 1.045 1947 0.944 1948 1.244 1949 1.33 1950 1.085 1951 1.212 1952 1.134 1953 1.301 1954 1.256 1955 1.314 1956 1.263 1957 1.127 1958 1.171 1959 1.143 1960 1.018 1961 1.041 1962 1.043 1963 1.242 1964 1.321 1965 1.319 1966 1.244 1967 1.228 1968 1.181 1969 1.402 1970 1.172 1971 0.871 1972 0.723 1973 0.904 1974 0.917 1975 0.95 1976 1.067 1977 1.156 1978 1.155 1979 1.217 1980 1.075 1981 1.065 1982 1.055 1983 1.098