# northamerica_canada_cana196 - Bolen 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/2721 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana196 - Bolen 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: Bolen Lake # Location: # Country: Canada # Northernmost_Latitude: 57.85 # Southernmost_Latitude: 57.85 # Easternmost_Longitude: -103.83 # Westernmost_Longitude: -103.83 # Elevation: 426 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana196B # Earliest_Year: 1847 # 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":"5.39380534143","T2":"16.1626615635","M1":"0.0226157912935","M2":"0.43042857449"}} #-------------------- # Species # Species_Name: jack pine # Species_Code: PIBN #-------------------- # 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 1847 1.409 1848 1.052 1849 1.041 1850 0.925 1851 0.983 1852 0.993 1853 1.007 1854 0.997 1855 0.843 1856 0.894 1857 1.167 1858 1.328 1859 0.977 1860 0.994 1861 1.132 1862 1.171 1863 1.421 1864 0.891 1865 1.398 1866 1.271 1867 1.016 1868 1.107 1869 0.789 1870 0.762 1871 1.007 1872 0.754 1873 1.063 1874 0.911 1875 0.93 1876 0.829 1877 1.078 1878 1.237 1879 1.124 1880 1.235 1881 1.414 1882 1.066 1883 1.166 1884 0.945 1885 0.92 1886 0.698 1887 0.796 1888 0.625 1889 0.809 1890 0.609 1891 0.532 1892 0.657 1893 0.735 1894 0.954 1895 0.976 1896 0.829 1897 1.192 1898 1.213 1899 0.72 1900 1.034 1901 0.954 1902 0.91 1903 1.107 1904 0.964 1905 1.115 1906 0.771 1907 0.813 1908 0.691 1909 0.805 1910 0.856 1911 1.099 1912 0.822 1913 0.586 1914 0.715 1915 0.7 1916 0.606 1917 0.857 1918 0.891 1919 0.786 1920 0.775 1921 0.865 1922 1.373 1923 1.03 1924 1.004 1925 0.915 1926 0.85 1927 0.774 1928 0.731 1929 0.797 1930 0.67 1931 0.878 1932 1.051 1933 1.058 1934 0.971 1935 1.023 1936 0.857 1937 0.707 1938 0.856 1939 0.799 1940 0.75 1941 0.937 1942 0.809 1943 0.895 1944 1.062 1945 1.302 1946 1.09 1947 1.206 1948 1.364 1949 1.935 1950 1.627 1951 1.733 1952 1.143 1953 1.27 1954 1.269 1955 1.169 1956 1.102 1957 1.133 1958 1.046 1959 1.183 1960 1.038 1961 1.049 1962 0.839 1963 1.194 1964 1.236 1965 1.583 1966 1.584 1967 1.199 1968 0.936 1969 1.05 1970 1.212 1971 1.267 1972 1.212 1973 0.94 1974 0.991 1975 1.152 1976 1.243 1977 1.422 1978 1.135 1979 1.143 1980 0.951 1981 0.862 1982 0.543 1983 0.653 1984 1.067 1985 0.901 1986 0.932 1987 0.894 1988 0.769 1989 0.804 1990 0.816 1991 0.902 1992 0.968 1993 0.953 1994 0.898 1995 0.562 1996 0.692 1997 0.697 1998 0.646 1999 0.781 2000 0.894 2001 0.857 2002 0.737