# northamerica_canada_cana273 - Black Spruce Wetland, Churchill MB - 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/6143 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana273 - Black Spruce Wetland, Churchill MB - 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: Black Spruce Wetland, Churchill MB # Location: # Country: Canada # Northernmost_Latitude: 58.62 # Southernmost_Latitude: 58.62 # Easternmost_Longitude: -93.83 # Westernmost_Longitude: -93.83 # Elevation: 16 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana273B # Earliest_Year: 1809 # Most_Recent_Year: 2002 # 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":"4.34690640805","T2":"18.0698503907","M1":"0.0226638542809","M2":"0.410979346696"}} #-------------------- # 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 1809 0.948 1810 0.96 1811 1.101 1812 0.976 1813 0.865 1814 0.889 1815 1.171 1816 1.102 1817 0.785 1818 0.737 1819 0.76 1820 1.053 1821 0.987 1822 0.874 1823 0.912 1824 1.03 1825 0.616 1826 0.912 1827 1.247 1828 1.081 1829 1.116 1830 1.282 1831 1.263 1832 1.169 1833 1.147 1834 1.344 1835 1.099 1836 0.697 1837 0.538 1838 0.776 1839 0.922 1840 0.985 1841 0.75 1842 0.573 1843 0.528 1844 0.909 1845 0.921 1846 1.285 1847 1.498 1848 1.11 1849 1.071 1850 1.399 1851 1.032 1852 0.927 1853 0.844 1854 1.217 1855 1.262 1856 0.925 1857 0.714 1858 0.644 1859 0.794 1860 0.493 1861 0.609 1862 0.832 1863 0.706 1864 1.03 1865 1.056 1866 1.127 1867 0.756 1868 1.206 1869 0.749 1870 1.156 1871 1.1 1872 0.962 1873 0.909 1874 0.891 1875 1.141 1876 0.699 1877 0.961 1878 1.161 1879 0.782 1880 0.993 1881 0.867 1882 0.801 1883 0.939 1884 1.075 1885 0.917 1886 1.002 1887 1.315 1888 0.743 1889 0.522 1890 0.742 1891 0.804 1892 0.764 1893 0.831 1894 0.791 1895 0.939 1896 0.95 1897 0.739 1898 0.808 1899 1.033 1900 1.208 1901 1.11 1902 1.1 1903 1.263 1904 1.194 1905 0.864 1906 0.892 1907 0.912 1908 0.813 1909 0.952 1910 1.558 1911 1.268 1912 0.943 1913 1.083 1914 0.998 1915 0.894 1916 0.801 1917 1.143 1918 0.763 1919 0.946 1920 0.959 1921 1.194 1922 0.964 1923 1.172 1924 0.801 1925 0.927 1926 1.112 1927 1.26 1928 1.331 1929 0.912 1930 1.321 1931 1.333 1932 1.361 1933 1.346 1934 1.26 1935 0.96 1936 1.16 1937 0.879 1938 1.138 1939 1.18 1940 0.987 1941 1.274 1942 0.942 1943 1.02 1944 1.113 1945 0.825 1946 0.704 1947 1.456 1948 1.374 1949 0.965 1950 0.743 1951 0.944 1952 0.752 1953 0.788 1954 1.034 1955 1.095 1956 1.127 1957 1.161 1958 1.139 1959 1.178 1960 0.959 1961 1.197 1962 1.027 1963 1.118 1964 0.979 1965 0.734 1966 0.93 1967 1.184 1968 1.1 1969 1.049 1970 0.88 1971 0.74 1972 0.903 1973 0.484 1974 0.785 1975 0.457 1976 0.904 1977 0.929 1978 1.072 1979 1.015 1980 0.665 1981 0.831 1982 0.893 1983 0.982 1984 0.837 1985 0.713 1986 0.702 1987 0.817 1988 0.829 1989 1.002 1990 0.985 1991 0.95 1992 0.495 1993 0.506 1994 0.911 1995 0.994 1996 1.293 1997 0.856 1998 1.102 1999 1.08 2000 0.724 2001 1.047 2002 1.338