# northamerica_canada_cana221 - Boundary Bog - 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/3899 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana221 - Boundary Bog - 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: Boundary Bog # Location: # Country: Canada # Northernmost_Latitude: 53.95 # Southernmost_Latitude: 53.95 # Easternmost_Longitude: -106.33 # Westernmost_Longitude: -106.33 # Elevation: 611 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana221B # Earliest_Year: 1686 # Most_Recent_Year: 1997 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"2.85083296325","T2":"11.9402088527","M1":"0.0222143150967","M2":"0.13964385898"}} #-------------------- # Species # Species_Name: tamarack # Species_Code: LALA #-------------------- # 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 1686 2.809 1687 1.078 1688 0.665 1689 0.65 1690 0.385 1691 0.335 1692 0.39 1693 0.486 1694 0.729 1695 0.601 1696 0.649 1697 0.423 1698 0.365 1699 0.35 1700 0.243 1701 0.311 1702 0.461 1703 1.294 1704 2.695 1705 2.068 1706 1.581 1707 1.438 1708 0.994 1709 1.372 1710 0.723 1711 0.285 1712 0.378 1713 0.445 1714 1.403 1715 3.335 1716 3.292 1717 1.762 1718 0.917 1719 0.823 1720 0.675 1721 1.355 1722 0.755 1723 0.511 1724 0.925 1725 0.591 1726 0.355 1727 0.654 1728 0.98 1729 1.008 1730 0.485 1731 0.46 1732 0.658 1733 0.925 1734 0.649 1735 0.439 1736 0.202 1737 0.316 1738 0.419 1739 0.352 1740 0.475 1741 0.342 1742 0.305 1743 0.252 1744 0.178 1745 0.276 1746 0.544 1747 0.383 1748 0.389 1749 0.722 1750 0.482 1751 0.525 1752 0.46 1753 0.855 1754 2.397 1755 3.029 1756 2.412 1757 2.524 1758 3.287 1759 1.949 1760 0.868 1761 1.143 1762 1.226 1763 1.46 1764 0.979 1765 1.118 1766 0.607 1767 0.375 1768 0.521 1769 0.654 1770 0.449 1771 0.682 1772 0.524 1773 0.882 1774 1.011 1775 0.789 1776 0.772 1777 0.546 1778 0.6 1779 0.549 1780 0.29 1781 0.25 1782 0.299 1783 0.25 1784 0.14 1785 0.249 1786 0.225 1787 0.138 1788 0.079 1789 0.16 1790 0.141 1791 0.206 1792 0.314 1793 0.325 1794 0.412 1795 0.964 1796 1.375 1797 2.834 1798 2.59 1799 3.004 1800 2.859 1801 2.733 1802 2.007 1803 1.102 1804 1.532 1805 1.692 1806 2.634 1807 1.803 1808 1.104 1809 0.867 1810 0.891 1811 1.012 1812 0.884 1813 0.807 1814 0.701 1815 0.667 1816 0.495 1817 0.567 1818 0.417 1819 0.715 1820 0.725 1821 0.639 1822 0.535 1823 0.355 1824 0.373 1825 0.497 1826 0.527 1827 0.556 1828 0.402 1829 0.462 1830 0.416 1831 0.615 1832 0.549 1833 0.423 1834 0.573 1835 0.59 1836 0.473 1837 0.31 1838 0.229 1839 0.172 1840 0.344 1841 0.805 1842 0.684 1843 0.399 1844 0.931 1845 0.582 1846 0.703 1847 0.47 1848 0.395 1849 1.125 1850 1.383 1851 1.776 1852 1.2 1853 0.99 1854 0.756 1855 1.569 1856 1.663 1857 1.346 1858 1.324 1859 1.392 1860 1.247 1861 1.109 1862 0.723 1863 0.766 1864 0.862 1865 0.592 1866 1.52 1867 1.717 1868 0.882 1869 0.608 1870 0.35 1871 0.736 1872 1.536 1873 1.129 1874 0.605 1875 0.454 1876 0.427 1877 0.688 1878 0.861 1879 0.861 1880 1.078 1881 1.216 1882 0.68 1883 0.465 1884 0.311 1885 0.287 1886 0.642 1887 1.141 1888 1.576 1889 0.612 1890 0.407 1891 0.654 1892 0.848 1893 0.75 1894 0.67 1895 0.975 1896 1.813 1897 2.636 1898 2.085 1899 3.406 1900 3.015 1901 1.772 1902 0.949 1903 0.597 1904 0.466 1905 0.393 1906 0.305 1907 0.801 1908 1.066 1909 1.503 1910 0.876 1911 0.394 1912 0.489 1913 0.822 1914 0.868 1915 0.744 1916 0.435 1917 0.628 1918 0.655 1919 0.71 1920 0.126 1921 -0.012 1922 0.44 1923 0.36 1924 0.055 1925 0.157 1926 0.323 1927 0.119 1928 0.157 1929 0.232 1930 0.28 1931 0.549 1932 0.48 1933 0.56 1934 0.468 1935 0.556 1936 0.719 1937 1.313 1938 2.086 1939 3.279 1940 3.225 1941 3.466 1942 2.741 1943 2.689 1944 2.422 1945 2.612 1946 1.638 1947 2.083 1948 1.894 1949 2.024 1950 2.602 1951 1.889 1952 0.819 1953 0.336 1954 0.275 1955 0.154 1956 0.124 1957 0.312 1958 0.467 1959 0.672 1960 0.693 1961 0.637 1962 0.783 1963 0.485 1964 0.909 1965 0.788 1966 0.274 1967 0.295 1968 0.505 1969 0.489 1970 0.662 1971 0.574 1972 0.554 1973 0.684 1974 0.665 1975 0.628 1976 0.528 1977 0.689 1978 1.071 1979 0.762 1980 0.82 1981 0.979 1982 1.06 1983 1.012 1984 0.781 1985 1.062 1986 0.951 1987 0.769 1988 0.924 1989 1.164 1990 1.364 1991 1.266 1992 0.92 1993 0.719 1994 1.2 1995 0.784 1996 0.776 1997 0.897