# northamerica_usa_mn013 - Cass Lake - 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/4966 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_mn013 - Cass Lake - 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: Cass Lake # Location: # Country: United States # Northernmost_Latitude: 47.35 # Southernmost_Latitude: 47.35 # Easternmost_Longitude: -94.52 # Westernmost_Longitude: -94.52 # Elevation: 420 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_mn013B # Earliest_Year: 1716 # 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":"4.34412699342","T2":"16.0120170838","M1":"0.0230462128649","M2":"0.449408282577"}} #-------------------- # Species # Species_Name: red pine # Species_Code: PIRE #-------------------- # 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 1716 0.791 1717 0.748 1718 0.694 1719 0.781 1720 0.871 1721 0.894 1722 0.83 1723 1.049 1724 0.913 1725 0.967 1726 1.023 1727 1.144 1728 0.93 1729 1.079 1730 1.027 1731 0.987 1732 1.043 1733 0.967 1734 0.944 1735 0.893 1736 0.683 1737 0.75 1738 0.885 1739 0.905 1740 1.046 1741 1.055 1742 1.033 1743 1.197 1744 1.234 1745 1.271 1746 1.279 1747 1.214 1748 1.204 1749 1.145 1750 1.28 1751 1.162 1752 0.992 1753 1.145 1754 1.156 1755 1.164 1756 1.11 1757 0.957 1758 1.077 1759 1.27 1760 1.314 1761 1.262 1762 1.368 1763 1.419 1764 1.544 1765 1.624 1766 1.354 1767 1.395 1768 1.217 1769 1.183 1770 1.042 1771 1.013 1772 0.774 1773 0.722 1774 0.786 1775 1.042 1776 1.12 1777 1.221 1778 1.365 1779 1.162 1780 0.595 1781 0.713 1782 0.883 1783 0.999 1784 1.099 1785 1.299 1786 1.45 1787 1.585 1788 1.613 1789 1.469 1790 1.442 1791 1.304 1792 1.125 1793 1.133 1794 1.104 1795 1.126 1796 0.948 1797 0.825 1798 0.776 1799 0.609 1800 0.623 1801 0.764 1802 0.852 1803 0.944 1804 0.954 1805 0.75 1806 0.597 1807 0.604 1808 0.608 1809 0.74 1810 0.623 1811 0.584 1812 0.687 1813 0.683 1814 0.776 1815 0.7 1816 0.689 1817 0.601 1818 0.543 1819 0.531 1820 0.588 1821 0.683 1822 0.832 1823 0.695 1824 0.676 1825 0.664 1826 0.647 1827 0.778 1828 0.832 1829 0.824 1830 0.75 1831 0.725 1832 0.794 1833 0.864 1834 1.107 1835 1.026 1836 0.99 1837 0.894 1838 0.698 1839 0.869 1840 0.812 1841 0.708 1842 0.854 1843 0.821 1844 0.868 1845 0.84 1846 0.716 1847 0.671 1848 0.857 1849 0.809 1850 0.724 1851 0.752 1852 0.789 1853 0.729 1854 0.666 1855 0.548 1856 0.628 1857 0.618 1858 0.666 1859 0.635 1860 0.766 1861 0.848 1862 0.813 1863 0.702 1864 0.71 1865 0.789 1866 0.84 1867 0.858 1868 0.889 1869 0.731 1870 0.833 1871 0.904 1872 0.99 1873 1.076 1874 1.127 1875 1.113 1876 1.07 1877 0.927 1878 0.97 1879 0.889 1880 0.894 1881 0.897 1882 0.845 1883 0.834 1884 0.831 1885 0.88 1886 0.876 1887 0.903 1888 0.813 1889 0.822 1890 0.762 1891 0.849 1892 0.888 1893 0.941 1894 1.155 1895 1.075 1896 1.106 1897 1.112 1898 1.034 1899 0.897 1900 0.882 1901 0.919 1902 1.069 1903 1.159 1904 1.32 1905 1.345 1906 1.345 1907 1.1 1908 1.053 1909 1.007 1910 0.893 1911 0.826 1912 1.007 1913 0.926 1914 1.027 1915 1.449 1916 1.438 1917 1.38 1918 1.744 1919 1.361 1920 1.193 1921 1.232 1922 1.258 1923 1.115 1924 0.962 1925 1.121 1926 1.146 1927 1.07 1928 1.152 1929 1.374 1930 1.464 1931 1.403 1932 1.376 1933 1.238 1934 1.325 1935 1.335 1936 1.115 1937 0.994 1938 0.893 1939 0.643 1940 0.574 1941 0.698 1942 0.921 1943 0.738 1944 1.009 1945 1.449 1946 1.48 1947 1.24 1948 1.041 1949 1.029 1950 1.167 1951 1.218 1952 1.358 1953 1.279 1954 1.117 1955 1.5 1956 1.094 1957 0.982 1958 0.914 1959 1.245 1960 1.09 1961 0.957 1962 1.136 1963 0.988 1964 0.812 1965 1.027 1966 1.118 1967 1.035 1968 1.03 1969 1.024 1970 0.932 1971 1.02 1972 0.941 1973 0.795 1974 0.733 1975 0.949 1976 1.129 1977 0.893 1978 0.799 1979 0.718 1980 0.687 1981 0.929 1982 0.885