# northamerica_usa_mo001 - Current River Natural Area - 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/3153 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mo001 - Current River Natural Area - 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: Current River Natural Area # Location: # Country: United States # Northernmost_Latitude: 37.27 # Southernmost_Latitude: 37.27 # Easternmost_Longitude: -91.27 # Westernmost_Longitude: -91.27 # Elevation: 275 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mo001B # Earliest_Year: 1732 # 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":"5.01753926251","T2":"17.5737044516","M1":"0.0229097908394","M2":"0.555643594942"}} #-------------------- # Species # Species_Name: white oak # Species_Code: QUAL #-------------------- # 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 1732 1.606 1733 1.46 1734 1.708 1735 0.93 1736 0.581 1737 0.852 1738 0.916 1739 1.236 1740 1.32 1741 0.728 1742 0.996 1743 0.918 1744 1.025 1745 0.33 1746 0.37 1747 0.81 1748 0.813 1749 0.883 1750 0.786 1751 0.359 1752 0.593 1753 0.614 1754 0.644 1755 0.777 1756 0.678 1757 0.902 1758 0.881 1759 1.154 1760 0.441 1761 0.743 1762 0.585 1763 0.796 1764 0.817 1765 0.838 1766 0.953 1767 0.811 1768 1.205 1769 1.234 1770 1.236 1771 1.043 1772 0.887 1773 0.871 1774 0.277 1775 0.804 1776 1.059 1777 0.852 1778 1.223 1779 0.774 1780 1.075 1781 0.673 1782 0.827 1783 1.221 1784 0.985 1785 0.983 1786 0.97 1787 1.056 1788 1.305 1789 0.625 1790 0.86 1791 1.294 1792 0.99 1793 1.274 1794 1.196 1795 1.246 1796 1.309 1797 1.399 1798 1.267 1799 1.011 1800 1.198 1801 0.909 1802 1.349 1803 1.061 1804 1.069 1805 1.126 1806 1.245 1807 1.206 1808 0.906 1809 1.053 1810 1.253 1811 1.135 1812 1.028 1813 0.596 1814 0.859 1815 0.81 1816 0.814 1817 1.285 1818 0.917 1819 1.156 1820 0.983 1821 1.03 1822 0.955 1823 0.959 1824 1.079 1825 1.047 1826 1.117 1827 1.248 1828 1.203 1829 0.919 1830 1.255 1831 1.209 1832 1.22 1833 1.098 1834 1.046 1835 0.946 1836 1.023 1837 1.133 1838 0.771 1839 0.795 1840 1.045 1841 0.859 1842 1.178 1843 0.786 1844 1.171 1845 0.944 1846 0.903 1847 0.855 1848 0.835 1849 0.68 1850 0.913 1851 0.661 1852 0.663 1853 0.8 1854 0.887 1855 0.677 1856 0.831 1857 0.773 1858 0.674 1859 0.625 1860 0.808 1861 0.84 1862 0.944 1863 1.052 1864 0.981 1865 1.032 1866 1.12 1867 0.938 1868 0.867 1869 0.976 1870 0.629 1871 0.912 1872 0.928 1873 0.727 1874 0.72 1875 0.963 1876 1.216 1877 0.999 1878 1.356 1879 1.016 1880 1.163 1881 0.824 1882 1.412 1883 1.3 1884 0.787 1885 0.959 1886 1.017 1887 0.938 1888 1.007 1889 1.347 1890 0.947 1891 1.076 1892 1.192 1893 1.022 1894 1.021 1895 0.886 1896 0.984 1897 1.198 1898 1.019 1899 0.843 1900 0.713 1901 0.74 1902 0.843 1903 0.797 1904 1.104 1905 1.024 1906 1.002 1907 0.765 1908 1.126 1909 1.145 1910 1.271 1911 0.673 1912 1.169 1913 0.729 1914 0.746 1915 1.179 1916 1.216 1917 1.096 1918 0.832 1919 0.98 1920 0.993 1921 0.831 1922 1.112 1923 1.124 1924 1.269 1925 0.915 1926 0.913 1927 0.799 1928 1.386 1929 1.077 1930 0.889 1931 1.128 1932 0.867 1933 0.884 1934 0.835 1935 1.108 1936 0.887 1937 1.02 1938 1.001 1939 0.977 1940 0.866 1941 0.866 1942 1.075 1943 0.734 1944 0.767 1945 1.249 1946 0.965 1947 1.073 1948 1.269 1949 1.138 1950 1.041 1951 1.318 1952 0.879 1953 0.824 1954 0.628 1955 1.178 1956 0.941 1957 1.35 1958 1.227 1959 1.005 1960 1.054 1961 0.989 1962 1.355 1963 0.661 1964 0.905 1965 0.9 1966 1.084 1967 0.936 1968 0.984 1969 0.979 1970 0.978 1971 1.11 1972 1.24 1973 1.2 1974 1.141 1975 0.887 1976 0.624 1977 1.037 1978 0.852 1979 0.885 1980 0.779 1981 1.003