# northamerica_usa_co581 - Seedhouse - 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/5336 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_co581 - Seedhouse - 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: Seedhouse # Location: # Country: United States # Northernmost_Latitude: 40.75 # Southernmost_Latitude: 40.75 # Easternmost_Longitude: -106.85 # Westernmost_Longitude: -106.85 # Elevation: 2377 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_co581B # Earliest_Year: 1721 # Most_Recent_Year: 2000 # 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":"2.38996710957","T2":"13.4362778425","M1":"0.0240841115852","M2":"0.582397440914"}} #-------------------- # Species # Species_Name: Douglas fir # Species_Code: PSME #-------------------- # 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 1721 0.997 1722 0.791 1723 0.956 1724 0.967 1725 1.014 1726 1.367 1727 1.303 1728 1.017 1729 1.228 1730 1.049 1731 1.201 1732 0.801 1733 1.345 1734 1.583 1735 1.03 1736 0.752 1737 1.095 1738 0.866 1739 0.896 1740 1.036 1741 1.136 1742 0.723 1743 0.683 1744 0.74 1745 0.901 1746 1.434 1747 1.416 1748 1.148 1749 1.34 1750 1.316 1751 1.287 1752 1.011 1753 1.194 1754 1.246 1755 0.932 1756 0.487 1757 0.819 1758 0.715 1759 1.247 1760 0.714 1761 1.057 1762 0.954 1763 0.704 1764 0.773 1765 0.852 1766 0.938 1767 1.006 1768 1.278 1769 1.187 1770 1.109 1771 0.995 1772 0.592 1773 0.779 1774 0.594 1775 0.56 1776 0.587 1777 0.813 1778 0.808 1779 0.691 1780 1.163 1781 1.044 1782 0.669 1783 0.985 1784 0.663 1785 0.695 1786 0.633 1787 1.077 1788 0.831 1789 1.04 1790 1.22 1791 1.094 1792 1.702 1793 0.915 1794 0.975 1795 0.962 1796 0.813 1797 0.929 1798 0.581 1799 0.73 1800 0.506 1801 0.728 1802 0.752 1803 0.887 1804 0.674 1805 0.887 1806 0.79 1807 0.713 1808 1.04 1809 0.828 1810 0.898 1811 1.217 1812 1.252 1813 1.044 1814 1.156 1815 1.062 1816 1.274 1817 1.135 1818 1.21 1819 1.609 1820 1.108 1821 0.816 1822 1.159 1823 0.738 1824 0.759 1825 0.68 1826 0.827 1827 0.967 1828 1.124 1829 0.834 1830 0.937 1831 0.902 1832 0.925 1833 1.224 1834 0.963 1835 1.393 1836 1.149 1837 1.297 1838 1.224 1839 1.165 1840 1.077 1841 1.266 1842 0.928 1843 1.421 1844 1.006 1845 0.455 1846 0.622 1847 0.579 1848 0.754 1849 1.111 1850 0.923 1851 0.706 1852 0.997 1853 1.067 1854 1.156 1855 0.974 1856 0.97 1857 1.016 1858 1.084 1859 0.901 1860 1.393 1861 1.094 1862 1.058 1863 0.807 1864 0.637 1865 0.503 1866 0.942 1867 0.869 1868 0.484 1869 0.763 1870 0.82 1871 0.536 1872 0.494 1873 0.587 1874 0.469 1875 0.799 1876 0.918 1877 0.729 1878 0.85 1879 0.8 1880 0.342 1881 0.568 1882 0.574 1883 0.547 1884 0.622 1885 0.616 1886 0.465 1887 0.37 1888 0.559 1889 0.434 1890 0.35 1891 0.564 1892 0.66 1893 0.332 1894 0.618 1895 0.92 1896 0.865 1897 1.174 1898 1.034 1899 0.765 1900 0.808 1901 0.77 1902 0.794 1903 0.698 1904 0.806 1905 0.875 1906 0.918 1907 1.441 1908 1.38 1909 1.415 1910 1.387 1911 1.613 1912 1.48 1913 1.395 1914 1.307 1915 1.245 1916 1.15 1917 1.294 1918 1.216 1919 1.119 1920 0.919 1921 1.356 1922 1.456 1923 1.224 1924 0.968 1925 1.339 1926 1.363 1927 1.513 1928 1.477 1929 1.028 1930 1.502 1931 1.318 1932 0.951 1933 0.775 1934 0.62 1935 0.833 1936 0.731 1937 1.245 1938 1.075 1939 0.9 1940 1.084 1941 1.031 1942 1.04 1943 1.323 1944 1.131 1945 1.398 1946 1.476 1947 1.555 1948 1.08 1949 1.07 1950 0.828 1951 1.14 1952 1.005 1953 1.077 1954 1.042 1955 1.141 1956 0.957 1957 1.11 1958 0.847 1959 0.938 1960 0.898 1961 0.704 1962 0.802 1963 0.824 1964 1.084 1965 1.068 1966 1.173 1967 1.272 1968 1.182 1969 1.404 1970 1.157 1971 1.043 1972 0.829 1973 1.022 1974 1.411 1975 0.971 1976 1.046 1977 0.955 1978 0.853 1979 0.865 1980 0.691 1981 1.274 1982 1.366 1983 1.262 1984 1.329 1985 1.142 1986 1.255 1987 1.065 1988 0.892 1989 0.802 1990 1.125 1991 0.896 1992 0.829 1993 1.054 1994 0.651 1995 0.826 1996 0.998 1997 0.879 1998 1.176 1999 0.907 2000 0.92