# northamerica_canada_cana232 - Silverstar - 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/5528 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana232 - Silverstar - 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: Silverstar # Location: # Country: Canada # Northernmost_Latitude: 50.37 # Southernmost_Latitude: 50.37 # Easternmost_Longitude: -119.07 # Westernmost_Longitude: -119.07 # Elevation: 1700 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana232B # Earliest_Year: 1853 # 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":"4.91847289761","T2":"19.1521117924","M1":"0.022237382101","M2":"0.202886438724"}} #-------------------- # Species # Species_Name: Engelmann spruce # Species_Code: PCEN #-------------------- # 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 1853 0.902 1854 0.781 1855 0.845 1856 0.796 1857 0.978 1858 0.983 1859 0.995 1860 1.017 1861 0.933 1862 0.938 1863 0.915 1864 1.006 1865 1.111 1866 1.052 1867 0.915 1868 1.009 1869 0.908 1870 0.827 1871 0.874 1872 0.838 1873 0.839 1874 0.95 1875 0.815 1876 0.859 1877 1.069 1878 1.121 1879 1.17 1880 1.116 1881 0.973 1882 1.099 1883 1.036 1884 0.965 1885 1.139 1886 1.121 1887 0.931 1888 1.077 1889 1.024 1890 1.035 1891 1.142 1892 1.014 1893 0.968 1894 0.931 1895 0.977 1896 1.071 1897 1.077 1898 1.198 1899 0.9 1900 1.085 1901 1.144 1902 1.084 1903 1.098 1904 1.131 1905 1.072 1906 0.974 1907 0.933 1908 1.03 1909 0.865 1910 0.989 1911 1.0 1912 1.049 1913 1.12 1914 1.226 1915 1.029 1916 0.926 1917 1.015 1918 1.074 1919 1.147 1920 1.101 1921 0.934 1922 1.067 1923 0.899 1924 0.862 1925 0.988 1926 0.789 1927 0.846 1928 0.893 1929 0.804 1930 0.862 1931 0.918 1932 0.95 1933 0.97 1934 0.947 1935 0.938 1936 1.124 1937 1.026 1938 1.092 1939 0.889 1940 1.067 1941 0.971 1942 0.801 1943 0.936 1944 1.092 1945 0.977 1946 0.737 1947 0.848 1948 0.891 1949 0.88 1950 0.971 1951 0.801 1952 0.963 1953 0.929 1954 0.87 1955 0.956 1956 0.9 1957 0.828 1958 1.067 1959 0.859 1960 1.056 1961 0.938 1962 0.811 1963 1.004 1964 0.879 1965 1.145 1966 1.051 1967 1.111 1968 0.663 1969 0.676 1970 0.774 1971 0.78 1972 0.78 1973 0.963 1974 0.877 1975 1.01 1976 0.953 1977 0.986 1978 0.972 1979 1.007 1980 0.853 1981 0.988 1982 0.981 1983 1.073 1984 1.282 1985 1.263 1986 1.154 1987 1.344 1988 1.256 1989 1.296 1990 1.228 1991 0.764 1992 1.256 1993 0.877 1994 1.216 1995 1.068 1996 1.039 1997 0.859