# northamerica_canada_cana240 - Promontory - 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/5526 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana240 - Promontory - 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: Promontory # Location: # Country: Canada # Northernmost_Latitude: 50.2 # Southernmost_Latitude: 50.2 # Easternmost_Longitude: -120.97 # Westernmost_Longitude: -120.97 # Elevation: 1680 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana240B # Earliest_Year: 1835 # 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":"5.37743365812","T2":"18.7343648546","M1":"0.0226132559265","M2":"0.282147898485"}} #-------------------- # 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 1835 0.95 1836 0.96 1837 0.93 1838 0.855 1839 1.066 1840 0.994 1841 1.025 1842 0.905 1843 0.943 1844 0.954 1845 0.906 1846 0.884 1847 0.864 1848 1.009 1849 0.892 1850 0.944 1851 1.081 1852 1.054 1853 1.004 1854 0.891 1855 1.094 1856 0.903 1857 0.965 1858 0.92 1859 0.97 1860 1.03 1861 1.039 1862 1.145 1863 1.095 1864 1.216 1865 1.236 1866 0.971 1867 0.996 1868 1.027 1869 0.88 1870 0.855 1871 0.838 1872 1.001 1873 0.927 1874 0.829 1875 0.829 1876 0.955 1877 1.129 1878 1.166 1879 1.167 1880 1.135 1881 0.948 1882 0.97 1883 0.898 1884 0.886 1885 1.101 1886 1.193 1887 1.079 1888 1.087 1889 0.819 1890 0.921 1891 1.11 1892 0.87 1893 0.929 1894 0.94 1895 0.902 1896 0.951 1897 1.029 1898 1.156 1899 0.773 1900 1.023 1901 1.077 1902 1.058 1903 1.138 1904 1.231 1905 1.171 1906 1.142 1907 0.984 1908 1.125 1909 0.99 1910 0.979 1911 0.857 1912 1.042 1913 1.176 1914 1.265 1915 1.203 1916 1.081 1917 1.033 1918 0.916 1919 1.103 1920 1.124 1921 0.922 1922 0.896 1923 0.833 1924 0.856 1925 1.015 1926 0.762 1927 0.81 1928 1.029 1929 0.551 1930 0.744 1931 0.803 1932 0.761 1933 0.878 1934 0.853 1935 0.967 1936 0.996 1937 0.929 1938 1.095 1939 1.05 1940 1.146 1941 1.013 1942 0.985 1943 0.962 1944 1.229 1945 1.114 1946 0.82 1947 1.065 1948 1.1 1949 1.063 1950 1.173 1951 1.007 1952 1.129 1953 1.017 1954 1.104 1955 1.181 1956 1.043 1957 1.037 1958 1.316 1959 1.19 1960 1.395 1961 0.977 1962 0.89 1963 1.131 1964 0.958 1965 1.179 1966 0.929 1967 1.209 1968 0.789 1969 0.928 1970 0.924 1971 0.687 1972 0.65 1973 0.684 1974 0.676 1975 0.794 1976 0.8 1977 1.006 1978 0.93 1979 0.78 1980 0.826 1981 1.051 1982 0.876 1983 0.951 1984 1.114 1985 1.109 1986 1.109 1987 1.076 1988 0.83 1989 0.898 1990 1.054 1991 0.747 1992 1.173 1993 0.876 1994 1.122 1995 1.006 1996 0.987 1997 0.839