# northamerica_usa_ca526 - Black Cone - 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/3299 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca526 - Black Cone - 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: Black Cone # Location: # Country: United States # Northernmost_Latitude: 41.18 # Southernmost_Latitude: 41.18 # Easternmost_Longitude: -120.12 # Westernmost_Longitude: -120.12 # Elevation: 2195 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca526B # Earliest_Year: 1707 # Most_Recent_Year: 1981 # 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":"4.61974760631","T2":"16.0078170736","M1":"0.0231132859831","M2":"0.471343020542"}} #-------------------- # 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 1707 0.86 1708 0.944 1709 0.942 1710 0.825 1711 1.029 1712 0.988 1713 1.134 1714 0.879 1715 1.028 1716 1.266 1717 0.874 1718 0.824 1719 0.913 1720 1.054 1721 0.679 1722 0.758 1723 0.943 1724 0.86 1725 0.792 1726 1.371 1727 1.284 1728 1.051 1729 0.838 1730 0.783 1731 1.228 1732 1.37 1733 1.098 1734 0.916 1735 0.808 1736 0.985 1737 1.209 1738 1.138 1739 1.039 1740 0.965 1741 0.977 1742 0.979 1743 1.216 1744 1.041 1745 1.014 1746 1.108 1747 1.035 1748 0.784 1749 1.06 1750 1.206 1751 1.189 1752 1.162 1753 1.099 1754 0.73 1755 0.983 1756 0.978 1757 0.633 1758 0.888 1759 1.035 1760 0.954 1761 1.112 1762 1.152 1763 1.024 1764 0.939 1765 1.214 1766 0.997 1767 0.916 1768 1.013 1769 1.006 1770 0.783 1771 0.79 1772 0.842 1773 1.009 1774 0.944 1775 0.905 1776 0.932 1777 0.786 1778 0.766 1779 0.817 1780 0.885 1781 0.812 1782 0.843 1783 0.847 1784 0.966 1785 1.099 1786 1.09 1787 0.924 1788 1.102 1789 1.334 1790 0.995 1791 1.315 1792 1.232 1793 1.008 1794 1.158 1795 0.885 1796 0.773 1797 0.947 1798 1.03 1799 0.921 1800 1.139 1801 0.915 1802 0.866 1803 1.002 1804 1.144 1805 1.173 1806 1.065 1807 1.047 1808 0.966 1809 1.145 1810 0.902 1811 0.927 1812 1.012 1813 0.882 1814 1.239 1815 1.199 1816 0.962 1817 0.901 1818 0.949 1819 0.9 1820 0.781 1821 1.035 1822 0.964 1823 0.861 1824 0.804 1825 1.044 1826 0.93 1827 0.895 1828 1.173 1829 1.101 1830 0.797 1831 0.826 1832 1.026 1833 0.875 1834 0.792 1835 0.676 1836 0.76 1837 0.941 1838 1.041 1839 0.538 1840 0.563 1841 0.644 1842 0.711 1843 0.752 1844 0.712 1845 0.857 1846 0.642 1847 0.96 1848 1.262 1849 1.381 1850 1.45 1851 1.48 1852 1.318 1853 1.031 1854 1.422 1855 1.478 1856 1.02 1857 1.328 1858 1.083 1859 0.917 1860 1.221 1861 1.616 1862 1.1 1863 1.352 1864 1.157 1865 1.296 1866 1.296 1867 1.025 1868 1.279 1869 1.331 1870 1.159 1871 0.981 1872 0.961 1873 1.088 1874 1.103 1875 1.362 1876 0.909 1877 0.983 1878 1.087 1879 1.204 1880 0.987 1881 1.325 1882 1.488 1883 1.01 1884 1.118 1885 1.381 1886 0.903 1887 0.948 1888 1.126 1889 0.475 1890 0.725 1891 1.042 1892 0.976 1893 0.935 1894 1.293 1895 1.034 1896 1.129 1897 1.241 1898 1.256 1899 0.778 1900 1.245 1901 1.497 1902 1.084 1903 0.967 1904 1.08 1905 0.781 1906 0.982 1907 1.208 1908 1.421 1909 1.098 1910 0.869 1911 0.957 1912 0.868 1913 1.271 1914 1.069 1915 0.922 1916 0.911 1917 0.947 1918 0.582 1919 0.841 1920 0.505 1921 0.747 1922 0.613 1923 0.906 1924 0.601 1925 0.886 1926 1.031 1927 0.725 1928 0.778 1929 0.443 1930 0.671 1931 0.473 1932 0.588 1933 0.455 1934 0.651 1935 0.744 1936 0.807 1937 1.04 1938 1.18 1939 1.438 1940 1.118 1941 1.04 1942 1.495 1943 1.508 1944 1.344 1945 1.237 1946 1.133 1947 1.128 1948 1.043 1949 0.873 1950 0.734 1951 0.785 1952 0.892 1953 0.88 1954 0.87 1955 0.842 1956 0.99 1957 1.013 1958 1.312 1959 0.663 1960 0.78 1961 0.418 1962 0.863 1963 1.094 1964 1.23 1965 1.042 1966 1.323 1967 0.811 1968 0.612 1969 1.044 1970 0.892 1971 0.638 1972 0.908 1973 0.731 1974 0.922 1975 1.013 1976 1.115 1977 1.004 1978 1.032 1979 1.192 1980 1.145 1981 0.909