# northamerica_usa_ak039 - Monahan Flats - 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/3891 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_ak039 - Monahan Flats - 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: Monahan Flats # Location: # Country: United States # Northernmost_Latitude: 63.27 # Southernmost_Latitude: 63.27 # Easternmost_Longitude: -147.92 # Westernmost_Longitude: -147.92 # Elevation: 884 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_ak039B # Earliest_Year: 1823 # 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":"6.45058396936","T2":"18.641673359","M1":"0.0220247996711","M2":"0.302061279635"}} #-------------------- # Species # Species_Name: white spruce # Species_Code: PCGL #-------------------- # 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 1823 1.058 1824 0.818 1825 0.703 1826 0.654 1827 0.72 1828 0.817 1829 0.685 1830 0.583 1831 0.765 1832 0.831 1833 0.797 1834 0.777 1835 0.497 1836 0.695 1837 0.72 1838 0.891 1839 0.828 1840 0.854 1841 0.84 1842 0.808 1843 0.831 1844 1.151 1845 0.669 1846 0.982 1847 0.873 1848 1.062 1849 0.752 1850 0.681 1851 0.863 1852 0.933 1853 1.056 1854 1.171 1855 1.237 1856 1.009 1857 1.12 1858 1.387 1859 1.338 1860 1.221 1861 1.223 1862 1.194 1863 1.111 1864 1.223 1865 1.254 1866 1.057 1867 1.324 1868 0.932 1869 0.948 1870 1.079 1871 1.123 1872 1.078 1873 1.066 1874 1.062 1875 0.966 1876 0.723 1877 0.753 1878 0.739 1879 0.777 1880 0.766 1881 0.986 1882 1.133 1883 0.894 1884 1.239 1885 1.414 1886 1.444 1887 1.009 1888 1.267 1889 1.269 1890 1.533 1891 1.591 1892 1.323 1893 1.389 1894 1.305 1895 1.257 1896 1.341 1897 1.304 1898 1.285 1899 1.126 1900 1.022 1901 0.943 1902 1.04 1903 0.905 1904 0.729 1905 0.71 1906 0.961 1907 0.831 1908 0.988 1909 0.883 1910 0.735 1911 0.94 1912 0.59 1913 0.749 1914 0.692 1915 0.866 1916 0.699 1917 0.905 1918 0.95 1919 0.571 1920 0.781 1921 0.835 1922 0.7 1923 1.012 1924 0.758 1925 0.852 1926 0.786 1927 0.805 1928 0.827 1929 0.963 1930 0.809 1931 0.682 1932 1.065 1933 1.08 1934 1.169 1935 1.124 1936 1.23 1937 1.01 1938 0.764 1939 1.206 1940 0.865 1941 1.035 1942 1.075 1943 1.331 1944 1.012 1945 0.866 1946 1.081 1947 0.897 1948 1.143 1949 1.096 1950 1.232 1951 0.994 1952 0.929 1953 1.081 1954 0.928 1955 0.988 1956 1.057 1957 1.117 1958 0.989 1959 1.04 1960 1.26 1961 1.122 1962 1.233 1963 0.799 1964 1.064 1965 0.837 1966 1.021 1967 1.031 1968 1.055 1969 0.852 1970 0.553 1971 1.075 1972 1.008 1973 0.673 1974 0.785 1975 0.793 1976 0.747 1977 0.698 1978 0.517 1979 0.958 1980 0.787 1981 0.875 1982 1.158 1983 1.177 1984 0.946 1985 1.039 1986 1.093 1987 0.9 1988 1.045 1989 0.902 1990 0.964 1991 0.896 1992 1.219 1993 1.13 1994 1.039 1995 1.227 1996 1.256 1997 1.541