# northamerica_usa_md008 - Bear Island - 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/3498 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: northamerica_usa_md008 - Bear Island - 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: Bear Island # Location: # Country: United States # Northernmost_Latitude: 38.98 # Southernmost_Latitude: 38.98 # Easternmost_Longitude: -77.23 # Westernmost_Longitude: -77.23 # Elevation: 18 m #-------------------- # Data_Collection # Collection_Name: northamerica_usa_md008B # Earliest_Year: 1839 # Most_Recent_Year: 1977 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"5.09721960861","T2":"15.8247874277","M1":"0.0224583784479","M2":"0.531419089438"}} #-------------------- # Species # Species_Name: post oak # Species_Code: QUST #-------------------- # 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 1839 1.198 1840 1.023 1841 0.937 1842 1.354 1843 1.126 1844 1.553 1845 0.818 1846 1.174 1847 0.727 1848 0.625 1849 0.824 1850 0.824 1851 0.932 1852 0.826 1853 0.937 1854 1.112 1855 1.129 1856 0.949 1857 1.133 1858 0.881 1859 1.041 1860 0.886 1861 0.696 1862 1.146 1863 0.483 1864 0.656 1865 0.936 1866 0.879 1867 1.093 1868 0.856 1869 1.284 1870 0.927 1871 0.798 1872 0.59 1873 0.684 1874 0.655 1875 0.782 1876 0.964 1877 0.958 1878 1.228 1879 0.751 1880 0.71 1881 0.775 1882 0.902 1883 1.007 1884 1.181 1885 0.502 1886 1.595 1887 1.069 1888 1.118 1889 1.376 1890 0.914 1891 1.643 1892 1.225 1893 0.632 1894 0.936 1895 1.148 1896 1.122 1897 1.416 1898 0.601 1899 0.914 1900 0.976 1901 0.991 1902 0.77 1903 1.174 1904 1.656 1905 1.42 1906 1.117 1907 1.235 1908 1.082 1909 1.188 1910 1.297 1911 0.49 1912 0.824 1913 0.83 1914 0.878 1915 1.196 1916 1.519 1917 1.416 1918 0.779 1919 0.966 1920 1.296 1921 1.03 1922 0.989 1923 0.961 1924 1.18 1925 0.854 1926 0.83 1927 1.139 1928 1.144 1929 1.066 1930 0.629 1931 0.656 1932 0.864 1933 0.837 1934 1.027 1935 0.983 1936 0.734 1937 1.138 1938 1.048 1939 0.894 1940 0.855 1941 0.93 1942 0.774 1943 1.008 1944 0.796 1945 1.039 1946 0.943 1947 0.828 1948 0.838 1949 0.999 1950 1.169 1951 1.141 1952 0.939 1953 0.929 1954 0.856 1955 0.692 1956 0.802 1957 0.918 1958 0.911 1959 0.884 1960 0.893 1961 1.09 1962 0.955 1963 1.029 1964 0.833 1965 0.709 1966 0.807 1967 0.775 1968 1.012 1969 0.954 1970 0.877 1971 0.951 1972 1.175 1973 1.132 1974 1.066 1975 0.893 1976 0.928 1977 0.966