# northamerica_canada_cana061 - Lac Romanel - 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/4498 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana061 - Lac Romanel - 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: Lac Romanel # Location: # Country: Canada # Northernmost_Latitude: 56.23 # Southernmost_Latitude: 56.23 # Easternmost_Longitude: -67.72 # Westernmost_Longitude: -67.72 # Elevation: 1000 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana061B # Earliest_Year: 1849 # Most_Recent_Year: 1988 # 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":"5.73299483794","T2":"17.1238003986","M1":"0.0223316864362","M2":"0.394574090719"}} #-------------------- # Species # Species_Name: black spruce # Species_Code: PCMA #-------------------- # 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 1849 0.893 1850 0.943 1851 0.956 1852 0.85 1853 0.866 1854 1.003 1855 0.895 1856 0.969 1857 0.873 1858 1.21 1859 0.994 1860 0.882 1861 1.016 1862 0.796 1863 0.879 1864 0.877 1865 0.826 1866 0.807 1867 0.856 1868 0.849 1869 1.041 1870 1.076 1871 1.169 1872 1.121 1873 1.265 1874 1.284 1875 1.318 1876 0.979 1877 1.233 1878 1.111 1879 1.099 1880 1.146 1881 1.222 1882 0.944 1883 1.042 1884 0.945 1885 1.041 1886 1.196 1887 0.966 1888 0.951 1889 0.938 1890 0.733 1891 1.191 1892 1.029 1893 1.148 1894 0.871 1895 1.196 1896 0.956 1897 1.154 1898 0.899 1899 0.833 1900 0.875 1901 0.887 1902 0.98 1903 0.891 1904 0.837 1905 0.697 1906 0.978 1907 0.999 1908 0.908 1909 1.061 1910 0.997 1911 1.079 1912 0.894 1913 1.106 1914 1.284 1915 1.11 1916 1.277 1917 1.07 1918 0.933 1919 0.979 1920 0.819 1921 0.833 1922 0.844 1923 0.842 1924 0.96 1925 0.726 1926 0.595 1927 0.821 1928 1.072 1929 0.74 1930 0.874 1931 0.994 1932 0.69 1933 0.678 1934 1.051 1935 1.067 1936 1.02 1937 1.466 1938 1.24 1939 1.077 1940 0.904 1941 1.18 1942 1.278 1943 1.203 1944 1.109 1945 0.936 1946 1.044 1947 1.187 1948 1.352 1949 0.964 1950 0.917 1951 1.037 1952 1.086 1953 0.837 1954 1.058 1955 0.874 1956 0.953 1957 0.839 1958 0.814 1959 0.921 1960 0.857 1961 0.943 1962 0.954 1963 1.024 1964 0.754 1965 0.803 1966 0.868 1967 0.938 1968 0.853 1969 1.165 1970 0.933 1971 0.882 1972 1.109 1973 1.021 1974 1.012 1975 0.882 1976 0.921 1977 0.836 1978 1.017 1979 1.084 1980 1.135 1981 0.721 1982 1.079 1983 1.012 1984 1.24 1985 1.247 1986 1.055 1987 1.098 1988 1.31