# northamerica_canada_cana059 - Mac Kinley - 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/4515 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_canada_cana059 - Mac Kinley - 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: Mac Kinley # Location: # Country: Canada # Northernmost_Latitude: 62.73 # Southernmost_Latitude: 62.73 # Easternmost_Longitude: -111.63 # Westernmost_Longitude: -111.63 # Elevation: 1350 m #-------------------- # Data_Collection # Collection_Name: northamerica_canada_cana059B # Earliest_Year: 1862 # 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":"6.36691463379","T2":"18.4759164603","M1":"0.0224159169169","M2":"0.265809027332"}} #-------------------- # 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 1862 1.016 1863 0.82 1864 0.937 1865 0.901 1866 1.119 1867 1.054 1868 1.089 1869 1.025 1870 1.228 1871 1.081 1872 0.991 1873 1.02 1874 0.868 1875 1.024 1876 0.692 1877 1.04 1878 1.097 1879 0.987 1880 1.157 1881 1.124 1882 1.138 1883 0.92 1884 1.004 1885 0.938 1886 0.961 1887 0.908 1888 0.884 1889 0.959 1890 0.98 1891 0.988 1892 0.989 1893 0.897 1894 1.052 1895 1.037 1896 0.972 1897 1.081 1898 0.813 1899 1.035 1900 0.997 1901 1.062 1902 1.031 1903 1.173 1904 0.93 1905 1.1 1906 1.131 1907 0.878 1908 1.111 1909 0.919 1910 0.972 1911 1.012 1912 1.007 1913 1.374 1914 1.138 1915 0.851 1916 0.755 1917 0.871 1918 0.82 1919 1.148 1920 1.084 1921 1.041 1922 0.965 1923 0.983 1924 0.893 1925 0.937 1926 0.68 1927 1.041 1928 0.963 1929 0.888 1930 0.887 1931 0.86 1932 0.827 1933 0.743 1934 0.811 1935 1.273 1936 1.043 1937 0.954 1938 1.006 1939 0.645 1940 0.74 1941 0.897 1942 0.796 1943 1.005 1944 0.952 1945 0.933 1946 0.992 1947 0.855 1948 1.074 1949 0.743 1950 0.864 1951 0.861 1952 0.832 1953 1.101 1954 1.251 1955 1.033 1956 1.039 1957 1.071 1958 0.96 1959 1.114 1960 1.233 1961 1.119 1962 0.803 1963 1.022 1964 1.185 1965 1.358 1966 1.133 1967 1.075 1968 1.022 1969 1.137 1970 1.29 1971 1.129 1972 1.093 1973 1.077 1974 1.065 1975 0.883 1976 0.924 1977 0.928 1978 0.92 1979 1.234 1980 0.773 1981 1.125 1982 0.914 1983 1.139 1984 1.048 1985 0.764 1986 1.1 1987 0.926 1988 1.053