# northamerica_usa_ca641 - Fourth of July Hill - 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/3692 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ca641 - Fourth of July Hill - 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: Fourth of July Hill # Location: # Country: United States # Northernmost_Latitude: 37.87 # Southernmost_Latitude: 37.87 # Easternmost_Longitude: -119.37 # Westernmost_Longitude: -119.37 # Elevation: 2630 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ca641B # Earliest_Year: 1740 # Most_Recent_Year: 2005 # 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":"3.85373998072","T2":"15.8919537066","M1":"0.0226429045767","M2":"0.479189033613"}} #-------------------- # Species # Species_Name: lodgepole pine # Species_Code: PICO #-------------------- # 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 1740 0.97 1741 0.95 1742 0.917 1743 0.976 1744 0.957 1745 1.112 1746 1.031 1747 1.202 1748 1.122 1749 1.121 1750 0.964 1751 1.056 1752 0.879 1753 0.824 1754 0.931 1755 1.01 1756 0.985 1757 0.824 1758 0.991 1759 0.948 1760 1.001 1761 1.015 1762 0.983 1763 1.035 1764 1.048 1765 0.974 1766 0.972 1767 1.068 1768 1.069 1769 1.112 1770 0.904 1771 1.164 1772 1.062 1773 1.065 1774 1.117 1775 0.976 1776 1.048 1777 1.209 1778 1.21 1779 1.201 1780 1.008 1781 0.988 1782 0.889 1783 0.946 1784 1.008 1785 0.963 1786 0.893 1787 0.953 1788 0.967 1789 1.151 1790 1.064 1791 0.95 1792 1.109 1793 1.014 1794 1.144 1795 0.848 1796 0.872 1797 1.08 1798 1.045 1799 0.928 1800 0.92 1801 0.902 1802 1.041 1803 0.957 1804 1.051 1805 1.22 1806 1.173 1807 1.104 1808 0.917 1809 1.048 1810 0.969 1811 0.923 1812 0.711 1813 0.814 1814 0.956 1815 1.045 1816 0.948 1817 1.093 1818 0.87 1819 0.969 1820 1.037 1821 0.933 1822 0.838 1823 1.1 1824 0.842 1825 1.068 1826 1.231 1827 1.164 1828 1.177 1829 1.084 1830 1.056 1831 0.94 1832 1.159 1833 1.058 1834 0.985 1835 0.901 1836 0.988 1837 1.009 1838 1.158 1839 1.02 1840 1.124 1841 0.978 1842 0.895 1843 0.834 1844 0.856 1845 1.118 1846 0.923 1847 0.883 1848 0.818 1849 0.986 1850 0.888 1851 0.771 1852 1.121 1853 0.844 1854 0.913 1855 0.988 1856 0.769 1857 0.989 1858 0.852 1859 1.008 1860 1.024 1861 1.05 1862 0.836 1863 1.158 1864 0.943 1865 1.076 1866 1.005 1867 1.091 1868 1.118 1869 1.273 1870 1.166 1871 1.063 1872 1.019 1873 1.099 1874 1.054 1875 1.265 1876 1.236 1877 1.072 1878 1.298 1879 0.959 1880 1.022 1881 1.155 1882 1.084 1883 0.808 1884 0.999 1885 0.971 1886 1.078 1887 0.879 1888 1.184 1889 0.904 1890 0.93 1891 1.177 1892 1.03 1893 0.994 1894 1.091 1895 1.081 1896 1.13 1897 1.182 1898 0.948 1899 0.862 1900 1.093 1901 1.456 1902 1.099 1903 0.972 1904 1.199 1905 0.939 1906 1.032 1907 1.121 1908 0.913 1909 1.02 1910 0.898 1911 0.782 1912 0.743 1913 0.719 1914 0.878 1915 0.795 1916 0.653 1917 0.661 1918 0.58 1919 0.712 1920 0.43 1921 0.34 1922 0.353 1923 0.474 1924 0.502 1925 0.513 1926 0.717 1927 0.754 1928 0.806 1929 0.775 1930 0.723 1931 0.984 1932 0.837 1933 0.84 1934 0.897 1935 0.925 1936 0.94 1937 1.142 1938 1.164 1939 0.948 1940 1.122 1941 1.059 1942 1.078 1943 0.971 1944 1.01 1945 1.078 1946 1.189 1947 1.17 1948 1.057 1949 1.068 1950 1.143 1951 1.059 1952 1.278 1953 1.026 1954 1.306 1955 1.139 1956 1.031 1957 0.93 1958 1.013 1959 0.624 1960 0.46 1961 0.505 1962 0.764 1963 0.966 1964 1.093 1965 1.096 1966 1.319 1967 1.177 1968 1.12 1969 1.503 1970 1.289 1971 1.077 1972 1.098 1973 1.252 1974 1.209 1975 1.162 1976 0.935 1977 1.151 1978 1.02 1979 1.06 1980 0.748 1981 0.48 1982 0.539 1983 0.821 1984 1.321 1985 1.12 1986 1.387 1987 1.194 1988 1.294 1989 1.168 1990 1.281 1991 1.074 1992 1.043 1993 1.172 1994 0.982 1995 0.985 1996 1.157 1997 1.062 1998 0.984 1999 1.012 2000 1.291 2001 1.054 2002 0.79 2003 0.916 2004 0.831 2005 0.974