# northamerica_usa_mo021 - Little Maries River - 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/4885 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mo021 - Little Maries River - 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: Little Maries River # Location: # Country: United States # Northernmost_Latitude: 38.5 # Southernmost_Latitude: 38.5 # Easternmost_Longitude: -92.12 # Westernmost_Longitude: -92.12 # Elevation: 350 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mo021B # Earliest_Year: 1761 # 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":"4.84599632429","T2":"16.2550581263","M1":"0.0226379849683","M2":"0.539342846982"}} #-------------------- # 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 1761 1.159 1762 1.222 1763 1.002 1764 1.174 1765 0.994 1766 0.999 1767 0.505 1768 0.855 1769 0.974 1770 0.594 1771 0.812 1772 0.749 1773 0.859 1774 0.746 1775 1.041 1776 1.24 1777 0.711 1778 0.669 1779 1.086 1780 1.159 1781 1.354 1782 1.023 1783 0.656 1784 0.75 1785 0.835 1786 0.763 1787 0.693 1788 1.193 1789 0.823 1790 0.742 1791 0.765 1792 0.714 1793 0.701 1794 0.738 1795 1.315 1796 1.165 1797 1.21 1798 1.064 1799 0.763 1800 0.676 1801 0.825 1802 0.943 1803 0.86 1804 0.9 1805 0.978 1806 1.05 1807 1.44 1808 1.173 1809 1.309 1810 1.38 1811 1.448 1812 0.787 1813 0.655 1814 0.638 1815 0.723 1816 0.597 1817 0.748 1818 0.844 1819 1.021 1820 0.742 1821 0.952 1822 0.955 1823 0.915 1824 0.963 1825 0.777 1826 0.715 1827 0.965 1828 0.847 1829 0.669 1830 1.158 1831 1.04 1832 0.821 1833 0.724 1834 0.55 1835 0.576 1836 0.791 1837 0.931 1838 0.706 1839 0.957 1840 0.947 1841 0.717 1842 0.864 1843 0.937 1844 1.122 1845 1.05 1846 1.065 1847 0.902 1848 1.026 1849 0.993 1850 0.924 1851 1.0 1852 1.173 1853 0.871 1854 1.19 1855 0.923 1856 0.776 1857 0.713 1858 0.84 1859 0.878 1860 0.715 1861 0.953 1862 0.947 1863 1.073 1864 0.83 1865 0.899 1866 0.996 1867 0.839 1868 0.812 1869 0.981 1870 0.765 1871 0.981 1872 0.941 1873 1.081 1874 0.746 1875 1.102 1876 1.139 1877 1.087 1878 0.892 1879 0.836 1880 1.075 1881 0.848 1882 1.242 1883 1.173 1884 1.082 1885 1.289 1886 1.144 1887 1.238 1888 1.216 1889 1.492 1890 1.036 1891 1.403 1892 1.662 1893 1.505 1894 1.19 1895 1.084 1896 1.226 1897 1.526 1898 1.53 1899 1.152 1900 1.059 1901 0.93 1902 1.513 1903 1.833 1904 1.721 1905 1.082 1906 1.162 1907 1.192 1908 1.209 1909 1.543 1910 1.148 1911 0.998 1912 1.458 1913 0.939 1914 0.849 1915 1.432 1916 1.389 1917 0.923 1918 0.987 1919 1.145 1920 1.207 1921 1.371 1922 1.027 1923 1.175 1924 1.175 1925 0.817 1926 1.019 1927 1.161 1928 1.317 1929 1.22 1930 0.951 1931 0.909 1932 1.0 1933 0.965 1934 0.818 1935 1.291 1936 0.73 1937 0.952 1938 0.827 1939 0.859 1940 0.976 1941 0.882 1942 0.806 1943 0.883 1944 0.854 1945 0.906 1946 0.761 1947 0.776 1948 0.899 1949 1.007 1950 1.105 1951 1.134 1952 0.793 1953 0.809 1954 0.729 1955 0.806 1956 0.863 1957 0.929 1958 0.838 1959 0.833 1960 0.77 1961 0.868 1962 0.918 1963 0.795 1964 0.898 1965 0.894 1966 0.846 1967 0.87 1968 0.822 1969 0.927 1970 1.025 1971 0.896 1972 0.637 1973 0.916 1974 0.909 1975 0.909 1976 0.762 1977 0.693 1978 0.798 1979 0.808 1980 0.689 1981 0.768 1982 1.047