# northamerica_usa_mo005 - Lower Rock Creek - 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/3172 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mo005 - Lower Rock Creek - 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: Lower Rock Creek # Location: # Country: United States # Northernmost_Latitude: 37.5 # Southernmost_Latitude: 37.5 # Easternmost_Longitude: -90.5 # Westernmost_Longitude: -90.5 # Elevation: 300 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mo005B # Earliest_Year: 1764 # Most_Recent_Year: 1982 # 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":"4.29261274157","T2":"16.1776258112","M1":"0.0227966166401","M2":"0.566515021675"}} #-------------------- # Species # Species_Name: post oak # Species_Code: QUST #-------------------- # 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 1764 1.402 1765 1.068 1766 1.108 1767 1.088 1768 1.224 1769 1.131 1770 0.873 1771 0.753 1772 0.883 1773 0.753 1774 0.657 1775 1.119 1776 1.479 1777 1.33 1778 1.013 1779 1.106 1780 0.951 1781 1.074 1782 0.864 1783 1.091 1784 0.842 1785 0.833 1786 0.841 1787 0.686 1788 1.316 1789 1.183 1790 0.585 1791 1.256 1792 1.043 1793 1.122 1794 0.807 1795 1.09 1796 1.019 1797 1.017 1798 0.849 1799 0.688 1800 0.758 1801 0.767 1802 1.314 1803 1.068 1804 1.092 1805 0.98 1806 1.001 1807 1.216 1808 1.033 1809 1.028 1810 0.974 1811 1.586 1812 1.318 1813 1.052 1814 0.795 1815 0.999 1816 0.676 1817 0.845 1818 0.755 1819 1.057 1820 0.577 1821 0.993 1822 1.031 1823 0.871 1824 0.941 1825 0.803 1826 0.729 1827 1.067 1828 1.005 1829 0.7 1830 0.888 1831 0.831 1832 0.708 1833 0.743 1834 0.574 1835 0.728 1836 0.708 1837 0.828 1838 0.613 1839 0.632 1840 0.957 1841 0.886 1842 0.781 1843 1.323 1844 1.366 1845 1.235 1846 1.241 1847 1.182 1848 0.953 1849 1.303 1850 0.982 1851 0.89 1852 1.2 1853 0.967 1854 1.165 1855 0.862 1856 0.769 1857 0.879 1858 1.087 1859 0.917 1860 0.818 1861 0.928 1862 0.958 1863 0.965 1864 0.691 1865 0.901 1866 1.157 1867 0.893 1868 0.82 1869 0.995 1870 0.727 1871 0.713 1872 0.84 1873 0.874 1874 0.658 1875 0.988 1876 1.4 1877 1.133 1878 1.09 1879 0.776 1880 0.917 1881 0.926 1882 1.232 1883 1.299 1884 1.104 1885 1.014 1886 1.082 1887 0.915 1888 0.933 1889 1.153 1890 0.764 1891 0.97 1892 1.088 1893 1.029 1894 0.698 1895 0.747 1896 1.05 1897 1.046 1898 0.917 1899 0.918 1900 0.776 1901 0.71 1902 0.824 1903 1.152 1904 1.16 1905 0.984 1906 0.901 1907 1.092 1908 0.96 1909 0.928 1910 0.871 1911 0.712 1912 1.027 1913 0.748 1914 0.658 1915 1.146 1916 1.411 1917 1.213 1918 1.0 1919 0.959 1920 1.116 1921 1.253 1922 1.091 1923 1.339 1924 1.54 1925 1.088 1926 1.085 1927 1.485 1928 1.804 1929 1.664 1930 0.91 1931 0.933 1932 1.127 1933 1.11 1934 0.993 1935 1.224 1936 0.797 1937 0.833 1938 0.955 1939 0.943 1940 0.878 1941 0.758 1942 0.853 1943 0.952 1944 0.781 1945 0.958 1946 0.981 1947 0.926 1948 0.869 1949 0.975 1950 0.897 1951 1.264 1952 0.873 1953 0.768 1954 0.612 1955 1.159 1956 0.928 1957 1.047 1958 1.0 1959 0.968 1960 1.022 1961 1.132 1962 0.941 1963 0.73 1964 0.782 1965 0.954 1966 0.91 1967 0.893 1968 0.889 1969 0.903 1970 1.018 1971 1.093 1972 0.778 1973 1.245 1974 1.275 1975 1.191 1976 1.131 1977 0.871 1978 0.942 1979 0.836 1980 0.913 1981 1.111 1982 1.391