# northamerica_canada_cana206 - Patterson Peninsula, Lac La Ronge - 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/2730 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana206 - Patterson Peninsula, Lac La Ronge - 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: Patterson Peninsula, Lac La Ronge # Location: # Country: Canada # Northernmost_Latitude: 55.22 # Southernmost_Latitude: 55.22 # Easternmost_Longitude: -104.53 # Westernmost_Longitude: -104.53 # Elevation: 370 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana206B # Earliest_Year: 1841 # Most_Recent_Year: 2001 # 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":"3.06351992657","T2":"15.0790559984","M1":"0.0226955758712","M2":"0.542023110905"}} #-------------------- # Species # Species_Name: white spruce # Species_Code: PCGL #-------------------- # 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 1841 0.953 1842 0.951 1843 0.921 1844 0.878 1845 0.971 1846 1.24 1847 0.825 1848 0.87 1849 0.897 1850 0.951 1851 1.039 1852 1.116 1853 1.413 1854 0.932 1855 1.086 1856 1.342 1857 0.881 1858 1.167 1859 1.086 1860 1.094 1861 1.119 1862 1.043 1863 0.888 1864 0.772 1865 0.822 1866 0.849 1867 1.009 1868 0.797 1869 0.523 1870 0.868 1871 0.792 1872 1.002 1873 1.215 1874 1.152 1875 1.08 1876 1.072 1877 0.969 1878 0.734 1879 0.766 1880 1.022 1881 1.263 1882 1.066 1883 0.951 1884 0.559 1885 0.899 1886 0.645 1887 0.735 1888 0.848 1889 0.742 1890 0.816 1891 0.834 1892 0.735 1893 0.682 1894 0.945 1895 1.341 1896 1.109 1897 0.948 1898 1.524 1899 1.325 1900 1.257 1901 1.638 1902 1.413 1903 1.37 1904 1.22 1905 0.709 1906 0.998 1907 0.899 1908 1.195 1909 1.083 1910 1.081 1911 0.973 1912 0.907 1913 0.804 1914 0.962 1915 0.793 1916 1.213 1917 1.02 1918 1.179 1919 0.774 1920 0.759 1921 1.161 1922 1.061 1923 1.188 1924 0.879 1925 1.088 1926 0.903 1927 0.979 1928 0.744 1929 0.848 1930 0.958 1931 1.003 1932 1.165 1933 1.221 1934 1.257 1935 0.993 1936 0.783 1937 0.596 1938 0.575 1939 0.626 1940 0.443 1941 0.465 1942 0.744 1943 0.782 1944 0.712 1945 1.045 1946 1.263 1947 1.135 1948 1.169 1949 1.392 1950 1.115 1951 1.228 1952 1.006 1953 0.989 1954 0.974 1955 1.881 1956 0.99 1957 0.81 1958 0.844 1959 1.201 1960 1.081 1961 0.746 1962 0.796 1963 1.078 1964 0.587 1965 1.246 1966 1.242 1967 0.778 1968 0.961 1969 0.899 1970 0.775 1971 1.468 1972 1.142 1973 1.288 1974 1.245 1975 1.05 1976 0.702 1977 0.996 1978 1.022 1979 0.911 1980 0.791 1981 1.147 1982 1.014 1983 1.424 1984 0.864 1985 1.154 1986 1.199 1987 0.892 1988 0.52 1989 0.868 1990 0.685 1991 0.952 1992 0.778 1993 0.884 1994 1.201 1995 0.604 1996 1.016 1997 1.086 1998 0.795 1999 0.593 2000 0.71 2001 1.063